Relevant bibliographies by topics / Gearbox design; optimal design; helical gearbox / Journal articles

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Journal articles on the topic 'Gearbox design; optimal design; helical gearbox'

Author: Grafiati

Published: 3 June 2025

Last updated: 20 July 2025

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Anh, Le Hoang, Nguyen Hong Linh, Nguyen Huu Quang, et al. "Cost optimization of two-stage helical gearboxes with second stage double gear-sets." EUREKA: Physics and Engineering, no. 6 (November 18, 2021): 89–101. https://doi.org/10.21303/2461-4262.2021.001855.

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In practice, the cost of a gearbox plays a very important role in the trade. Therefore, reducing the cost of gearboxes is an important task not only when manufacturing the gearboxes but also when designing them. In order to reduce the cost of a gearbox, there are many solutions in which determining the optimal partial gear ratios of a gearbox is an effective measure. This is because it not only the size, the mass but also the cost of a gearbox depends greatly on the partial gear ratios. This work presents a method for calculating the cost function of two-stage helical gearboxes with second-stage double gear-sets based on the mass of the components that construct the gearbox. The cost objective function is minimized to achieve the optimal transmission ratios. Furthermore, screening experiments are carried out with nine important input parameters that have significant effects on the optimum transmission ratio of the second stage. These parameters are the total gearbox ratio, the coefficient of wheel face width of the first stage, coefficient of wheel face width of the second stage, the allowable contact stress of the first stage, the allowable contact stress of the second stage, the output torque, the cost of gearbox housing, the cost of gears, and the shaft cost. The experimental results of were analysed by using the Analysis of Variance (ANOVA) method with the help of Minitab 19 software. The results demonstrate that the effective weight of the input parameters and their interactions on the output response was investigated. Also, a regression model for computing the optimal transmission ratio of the second stage was proposed. This brings significance not only in the design process but also in manufacturing since the gearbox cost can decrease

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Tran, Huu-Danh, Xuan-Hung Le, Thi-Thanh-Nga Nguyen, Xuan-Tu Hoang, Quy-Huy Trieu, and Ngoc-Pi Vu. "Application of the Taguchi Method and Grey Relational Analysis for Multi-Objective Optimization of a Two-Stage Bevel Helical Gearbox." Machines 11, no. 7 (2023): 716. http://dx.doi.org/10.3390/machines11070716.

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This paper introduces a novel approach to deal with the multi-objective optimization of a two-stage bevel helical gearbox by applying the Taguchi method and Grey Relation Analysis (GRA). The goal of the study is to find optimal main design factors that minimize the gearbox volume and maximize the gearbox efficiency. To accomplish this, five main design parameters were selected: the coefficients of wheel face width (CWFW) of the bevel and the helical gear sets, the allowable contact stresses (ACS) of the first and the second stages, and the gear ratio of the first stage. Furthermore, two single targets were investigated: minimum gearbox volumes, and maximum gearbox efficiency. Also, the multi-objective optimization problem is solved through two steps: Step 1 for closing the gap between variable levels and Step 2 for determining the optimal main design factors. The study’s findings were used to introduce the optimum values of five major design parameters for designing a two-stage helical gearbox.

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Vu, Binh Duc, Hung Quoc Tran, Thanh Van Dinh, Trang Van Nguyen, and Minh Khac Nguyen. "Multi-objective optimization of a two-stage helical gearbox with double gears in second stage using saw technique to reduce bottom area and enhance efficiency." Eastern-European Journal of Enterprise Technologies 1, no. 4 (133) (2025): 72–80. https://doi.org/10.15587/1729-4061.2025.322992.

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Two-stage helical gearboxes featuring two gears in the second stage are widely used across various industries. This gearbox design helps enhanced load capacity, increases consistent force distribution, and minimizes operational noise. One significant challenge in the design of this type of gearbox is the simultaneous optimization of multiple design criteria, including transmission efficiency and overall size. Optimizing gearbox design involves more than selecting an appropriate gear configuration; it necessitates a complete approach that balances performance with size, ensures sustainable operation, and minimizes manufacturing costs. This study was conducted to develop a method for solving the multi-objective optimization problem (MOOP) related to the design of a two-stage helical gearbox (TSHG) containing double gears in the second stage (DGSS). The primary focus is on two single-objective functions: maximizing gearbox efficiency and minimizing the gearbox bottom area. This study investigates three primary design parameters: the gear ratio of the first stage (u1), the gear width coefficient of the first stage (Xba1), and second stage (Xba2). The optimization process was carried out in two distinct stages. The initial phase focused on the single-objective optimization problem aimed at minimizing the gap among the variable levels. The second stage concentrated on dealing with the MOOP to identify the optimal design parameters. The Simple Additive Weighting (SAW) method was employed to solve the multi-criteria decision-making (MCDM) problem, while the MEREC technique was utilized to establish the weights of the criteria. The implementation of SAW in this context introduces a novel methodology that streamlines the identification of the optimal solution while enhancing the precision of the outcomes. Moreover, addressing the MOOP problem in a two-stage approach reduces the solution process and enhances the precision of the outcomes. The proposed optimized values of the primary design parameters aim to enhance gearbox efficiency and maximize installation space, thereby facilitating potential applications across diverse industries

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Le, Xuan-Hung, and Ngoc-Pi Vu. "Multi-Objective Optimization of a Two-Stage Helical Gearbox Using Taguchi Method and Grey Relational Analysis." Applied Sciences 13, no. 13 (2023): 7601. http://dx.doi.org/10.3390/app13137601.

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This paper presents a novel approach to solve the multi-objective optimization problem designing a two-stage helical gearbox by applying the Taguchi method and the grey relation analysis (GRA). The objective of the study is to identify the optimal main design factors that maximize the gearbox efficiency and minimize the gearbox mass. To achieve that, five main design factors. including the coefficients of wheel face width (CWFW) of the first and the second stages, the allowable contact stresses (ACS) of the first and the second stages, and the gear ratio of the first stage were chosen. Additionally, two single objectives, including the maximum gearbox efficiency and minimum gearbox mass, were analyzed. In addition, the multi-objective optimization problem is solved through two phases: Phase 1 solves the single-objective optimization problem in order to close the gap between variable levels, and phase 2 solves the multi-objective optimization problem to determine the optimal main design factors. From the results of the study, optimum values of five main design parameters for designing a two-stage helical gearbox were first introduced.

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Dinh, Van-Thanh, Huu-Danh Tran, Duc-Binh Vu, Duong Vu, Ngoc-Pi Vu, and Thi-Tam Do. "Multi-Objective Optimization for Finding Main Design Factors of a Two-Stage Helical Gearbox with Second-Stage Double Gear Sets Using the EAMR Method." Symmetry 16, no. 7 (2024): 783. http://dx.doi.org/10.3390/sym16070783.

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When optimizing a mechanical device, the symmetry principle provides important guidance. Minimum gearbox mass and maximum gearbox efficiency are two single objectives that need to be achieved when designing a gearbox, and they are not compatible. In order to address the multi-objective optimization (MOO) problem with the above single targets involved in building a two-stage helical gearbox with second-stage double gear sets, this work presents a novel application of the multi-criteria decision-making (MCDM) method. This study’s objective is to identify the best primary design elements that will increase the gearbox efficiency while lowering the gearbox mass. To carry this out, three main design parameters were selected: the first stage’s gear ratio and the first and second stages’ coefficients of wheel face width (CWFW). Furthermore, a study focusing on two distinct goals was carried out: the lowest possible gearbox mass and the highest possible gearbox efficiency. Furthermore, the two stages of the MOO problem are phase 1 and phase 2, respectively. Phase 2 solves the single-objective optimization issue to minimize the difference between variable levels and the MOO problem to determine the optimal primary design factors. To solve the MOO problem, the EAMR (Evaluation by an Area-based Method of Ranking) method was also chosen. The following are important features of this study: First, a MCDM method (EAMR technique) was successfully applied to solve a MOO problem for the first time. Secondly, this work explored the power losses during idle motion to calculate the efficiency of a two-stage helical gearbox with second-stage double gear sets. This study’s findings were used to identify the optimal values for three important design variables to design a two-stage helical gearbox with second-stage double gear sets.

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Dinh, Van-Thanh, Huu-Danh Tran, Quoc-Hung Tran, et al. "Multi-Objective Optimization of a Two-Stage Helical Gearbox Using MARCOS Method." Designs 8, no. 3 (2024): 53. http://dx.doi.org/10.3390/designs8030053.

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In order to address the Multi-Objective Optimization Problem (MOOP) in building a two-stage helical gearbox, this work presents a novel application of the Multi-Criterion Decision-Making (MCDM) method. The aim of the study is to determine the optimal primary design factors that will increase gearbox efficiency while decreasing gearbox volume. Three main design parameters were chosen for assessment in this work: the first stage’s gear ratio, and the first and second stages’ Coefficients of Wheel Face Width (CWFW). In addition, the MOOP is divided into two phases: phase 1 solves the single-objective optimization problem to reduce the gap between variable levels, and phase 2 solves the MOOP to determine the optimal primary design factors. Furthermore, the Entropy approach was picked to compute the weight criteria, and the MARCOS method was chosen as an MCDM method to handle the multi-objective optimization issue. The following are important characteristics of the study: Firstly, the MCDM method (MARCOS technique) was successfully applied to solve a MOOP for the first time. Secondly, this work has looked into power losses during idle motion to calculate the efficiency of a two-stage helical gearbox. The results of the study were used in the design of a two-stage helical gearbox in order to identify the optimal values for three important design parameters.

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Tran, Huu-Danh, Van-Thanh Dinh, Duc-Binh Vu, Duong Vu, Anh-Tung Luu, and Ngoc Pi Vu. "Application of the TOPSIS Method for Multi-Objective Optimization of a Two-Stage Helical Gearbox." Engineering, Technology & Applied Science Research 14, no. 4 (2024): 15454–63. http://dx.doi.org/10.48084/etasr.7551.

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In order to design a high-efficiency two-stage gearbox to reduce power loss and conserve energy, a Multi-Criterion Decision-Making (MCDM) method is selected for solving the Multi-Objective Optimization Problem (MOOP) in this research. The study's objective is to determine the best primary design factors that will increase gearbox efficiency and decrease gearbox mass. To that end, the first stage's gear ratio and the first and second stages' Coefficients of Wheel Face Width (CWFW) were chosen as the three main design elements. Furthermore, two distinct goals were analyzed: the lowest gearbox mass and the highest gearbox efficiency. Additionally, the MOOP is carried out in two steps: phase 1 solves the Single-Objective Optimization Problem (SOOP) to close the gap between variable levels, and phase 2 solves the MOOP to determine the optimal primary design factors. Furthermore, the TOPSIS approach was selected to address the MOOP. For the first time, an MCDM technique is used to solve the MOOP of a two-stage helical gearbox considering the power losses during idle motion. When designing the gearbox, the optimal values for three crucial design parameters were ascertained according to the study's results.

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Raghavendra, K., Girisha C, Karnam Bhargava, Khaja Hussain, and Manoj C. "Design and Analysis of Six Speed Constant Mesh Gearbox using Al 7075 Alloy as Gear Material." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 5441–50. http://dx.doi.org/10.22214/ijraset.2023.52966.

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Abstract: A design concept for a 6-speed constant mesh gearbox utilizing Al 7075 as the material for helical gears. The objective of this design is to enhance the performance and durability of the transmission system while reducing weight and improving overall efficiency. Al 7075 is chosen as the material for the helical gears due to its excellent strength-to-weight ratio and high fatigue resistance. These properties make it suitable for handling the demanding operating conditions and torque loads experienced in a gearbox. The helical gear configuration offers advantages such as smoother and quieter operation compared to other gear types, reducing noise and vibration levels. The gearbox is designed with six speeds to provide a wide range of gear ratios, enabling optimal engine performance at various vehicle speeds. The constant mesh design ensures quick and seamless gear shifting, enhancing the driving experience and minimizing power losses during gear changes

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Dinh, Van-Thanh, Huu-Danh Tran, Thanh-Danh Bui, et al. "Multi-Objective Optimization of a Two-Stage Helical Gearbox with Second Stage Double Gear-Sets Using TOPSIS Method." Processes 12, no. 6 (2024): 1160. http://dx.doi.org/10.3390/pr12061160.

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The multi-criteria decision-making (MCDM) method was applied in a novel way in this study to the multi-objective optimization problem (MOOP) of designing a two-stage helical gearbox with double gear-sets in the second stage. Finding the best fundamental components to increase gearbox efficiency and decrease gearbox cross-section area was the aim of this study. Three main design factors were chosen for investigation in this work: the first stage gear ratio and the first and second stage coefficients of wheel face width (CWFW). Phase 1 solves the single-objective optimization problem to reduce the gap between variable levels, and phase 2 solves the MOOP to determine the optimal critical design factors. This additionally splits the MOOP into two phases. Additionally, the TOPSIS method was used as an MCDM approach to address the multi-objective optimization issue, and the entropy approach was used to compute the weight criteria. In this study, gearbox efficiency is calculated by considering power losses during idle motion. The multi-objective optimization of a helical gearbox with second stage double gear-sets is addressed using the TOPSIS technique for the first time.

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Dinh, Van Thanh, Duc Binh Vu, Manh Cuong Nguyen, Thi Thu Huong Truong, and Quoc Tuan Nguyen. "Determining the Best Design Factors of a Two-stage Helical Gearbox with Two Gear Sets in the First Stage to Increase Efficiency and Reduce Volume using the SAW Method." Engineering, Technology & Applied Science Research 14, no. 6 (2024): 18616–22. https://doi.org/10.48084/etasr.9009.

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This study describes the outcomes of employing the Simple Additive Weighting (SAW) approach to address the Multi-Objective Optimization Problem (MOOP) of a two-stage helical gearbox with two gear sets at the first stage. Its objective is to determine the key design variables that can reduce the volume of the gearbox while simultaneously maximizing its efficiency. For this investigation, three key design parameters were selected, namely the coefficients of the wheel face width of the first and second stages (Xba1 and Xba2), and the gear ratio of the first stage u1. In addition, the SAW technique was deployed to deal with the problem of Multi-Criteria Decision Making (MCDM), while the Method based on the Removal Effects of Criteria (MEREC) was employed to determine the weight criterion for addressing the MOOP. The obtained results are valuable for defining the optimal values for three primary design factors, which are essential for the development of a two-stage helical gearbox with two gear sets at the first stage.

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Hung, Tran Quoc, Vu Duc Binh, Dinh Van Thanh, Lưu Anh Tung, and Nguyen Khac Tuan. "Multi-Objective Optimization of a Two-Stage Helical Gearbox with Two Gear Sets in First Stage to Reduce Volume and Enhance Efficiency using the EAMR Technique." Engineering, Technology & Applied Science Research 15, no. 1 (2025): 19288–94. https://doi.org/10.48084/etasr.9224.

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This study presents the results of a work employing the Evaluation by an Area-based Method of Ranking (EAMR) methodology to address the Multi-Objective Optimization Problem (MOOP) of a two-stage helical gearbox comprising two gear sets in the initial stage. The objective of this study is to identify the most critical design parameters for minimizing the volume of the gearbox while optimizing its efficiency. In this study, three key design parameters were selected for analysis: the wheel face width coefficients Xba for the first and second stages, as well as the gear ratio of the first stage u1. Furthermore, the EAMR technique was employed to address the Multi-Criteria Decision-Making (MCDM) challenge, with the entropy method used to ascertain the weight criterion for resolving the MOOP. The study's findings offer valuable insights into the optimal values for three primary design parameters, which are essential for the development of a two-stage helical gearbox with two gear sets in the initial stage.

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Buynosov, Alexander Petrovich, Alexander Takhirovich Sharapov, and Mikhail Stanislavovich Chepizhko. "Design calculation of gearwheel for freight electric locomotive with optimal parameters of correlation adjustment." Transport of the Urals, no. 1 (2022): 30–34. http://dx.doi.org/10.20291/1815-9400-2022-1-30-34.

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In result of the study the authors have established that mistakes in design a gearwheel are among main reasons that lead to a failure of a gearwheel for the 2ES6 freight electric locomotive. In order to increase life of the gearwheel they suggest a method for its redesign with adjustment of offset coefficients. The authors have developed a cylindrical involute helical gearwheel. With the use of modeling in the «Shafts and mechanical gears» application within the framework of the KOMPAS-3D system the authors have got strength and geometrical parameters of the redesigned gearwheel that meets all reliability requirements. Moreover, they have carried out a durability calculation that has confirmed correctness of gained values. As a result, the use of the developed model with optimal parameters of correlation adjustment will contribute to a decrease of a number of traction gearbox failures.

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Rogkas, Nikolaos, Matthaios Pelekis, Alexandros Manios, et al. "Design, Simulation and Multi-Objective Optimization of a Micro-Scale Gearbox for a Novel Rotary Peristaltic Pump." Micromachines 14, no. 11 (2023): 2099. http://dx.doi.org/10.3390/mi14112099.

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Peristaltic pumps are widely used in biomedical applications to ensure the safe flow of sterile or medical fluids. They are commonly employed for drug injections, IV fluids, and blood separation (apheresis). These pumps operate through a progressive contraction or expansion along a flexible tube, enabling fluid flow. They are also utilized in industrial applications for sanitary fluid transport, corrosive fluid handling, and novel pharmacological delivery systems. This research provides valuable insights into the selection and optimal design of the powertrain stages for peristaltic pumps implemented in drug delivery systems. The focus of this paper lies in the simulation and optimization of the performance of a power transmission gearbox by examining the energy consumption, sound levels, reliability, and volume as output metrics. The components of the powertrain consist of a helical gear pair for the first stage, a bevel gear pair for the second one, and finally a planetary transmission. Through extensive simulations, the model exhibits promising results, achieving an efficiency of up to 90%. Furthermore, alternative configurations were investigated to optimize the overall performance of the powertrain. This process has been simulated by employing the KISSsoft/KISSsys software package. The findings of this investigation contribute to advancements in the field of biomedical engineering and hold significant potential for improving the efficiency, reliability, and performance of drug delivery mechanisms.

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Bondarenko, Oleksiy, Oleksandr Ustynenko, Roman Protasov, and Oleksandr Arkhipov. "CROSSOVER AND MUTATION OPERATORS IN STOCHASTIC ALGORITHMS." Bulletin of the National Technical University «KhPI» Series: Engineering and CAD, no. 1 (December 28, 2024): 3–9. https://doi.org/10.20998/2079-0775.2024.1.01.

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The relevance of illuminating contemporary stochastic algorithms is highlighted, with the past two decades witnessing a rapid development in stochastic algorithms, attributed to increased research capabilities and growing data volumes. These algorithms prove effective in solving complex optimization problems, garnering attention from the global scientific community and practitioners worldwide. An exploration of the role and an overview of key crossover and mutation operators in stochastic algorithms represent a pertinent scientific and practical endeavor, fostering deeper understanding and popularization of this field. A genome category analysis is conducted, accompanied by a detailed review of primary gene encoding methods for practical application. Through a specific example of a genome corresponding to the optimal design of a two-stage helical gearbox, typical and adapted crossover and mutation operators are examined for efficient solution search. Each operator is provided with a textual description and a graphically illustrated representation, enhancing clarity, quality, and expediency in understanding the essence and operational sequences of the operator. The role and significance of crossover and mutation operators in stochastic algorithms are discussed, emphasizing that crossover operators facilitate the combination of beneficial genetic traits, enhancing offspring adaptability. Balanced utilization of these operators alongside other algorithmic stages, such as mutation and selection, is crucial for achieving an optimal balance between algorithm exploitation and search intensification. The importance and functionality of mutation operators in optimization stochastic algorithms are highlighted, indicating that mutation enables the avoidance of algorithmic stagnation in local extrema, preserving genetic diversity and stimulating the search for new optimal solutions. The particular significance of mutation usage in conditions of complex problem structures or large search spaces is noted. Thus, crossover and mutation operators are deemed key elements for enhancing the effectiveness of optimal solution search.

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Dinh, Van-Thanh, Huu-Danh Tran, Duc-Binh Vu, Duong Vu, Ngoc-Pi Vu, and Anh-Tung Luu. "Application of a Multi-Criterion Decision-Making Method for Solving the Multi-Objective Optimization of a Two-Stage Helical Gearbox." Machines 12, no. 6 (2024): 365. http://dx.doi.org/10.3390/machines12060365.

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This paper provides a novel application of a multi-criterion decision-making (MCDM) method to the multi-objective optimization problem of designing a two-stage helical gearbox. This study’s goal is to identify the ideal primary design elements that increase gearbox efficiency while reducing the gearbox cross-section area. In this work, three primary design parameters were selected for investigation: the gear ratio of the first stage and the coefficients of wheel face width (CWFW) of the first and second stages. The multi-objective optimization problem was further split into two phases: phase 1 solved the single-objective optimization problem of minimizing the gap between the variable levels, and phase 2 solved the multi-objective optimization issue of identifying the ideal key design factors. Moreover, the multi-objective optimization problem was handled by the SAW method as an MCDM approach, and the weight criteria were computed using the entropy approach. This study’s significant characteristics are as follows: First, a multi-objective optimization problem was successfully solved using the MCDM approach (SAW technique) for the first time. Second, the power losses in idle motion were investigated in this work in order to determine the efficiency of a two-stage helical gearbox. From this study’s findings, the ideal values for three major design parameters can be determined for the design of a two-stage helical gearbox.

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Danh, Tran Huu, Dinh Van Thanh, Bui Thanh Danh, Nguyen Manh Cuong, and Luu Anh Tung. "Optimization of a Two-stage Bevel Helical Gearbox using Multiple Objectives to Increase Efficiency and Reduce Gearbox Bottom Area." WSEAS TRANSACTIONS ON APPLIED AND THEORETICAL MECHANICS 19 (January 16, 2024): 1–11. http://dx.doi.org/10.37394/232011.2024.19.1.

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This study aims to look at multi-target optimization of two-stage bevel helical gearboxes to determine the best major design factors for reducing gearbox bottom area (GBA) and increasing gearbox efficiency (GE). Grey relation analysis (GRA) and the Taguchi technique were used to address the problem in two steps. Prioritizing the closure of the variable level gap, the single-objective optimization problem was addressed, followed by the multi-objective optimization problem, which identified the ideal primary design variables. Additionally, the first-stage gear ratio, allowable contact stresses (ACS), and first and second-stage coefficients of wheel face width (CWFW) were calculated. The outcomes of the study were used to determine the best values for five essential design features of a two-stage bevel helical gearbox (BHG).

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Surnis, Prathmesh. "Design and Analysis of 2-Stage Gearbox for ATV Applications." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (2021): 2193–210. http://dx.doi.org/10.22214/ijraset.2021.38326.

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Abstract: The main objective of this project is to design and develop a 2-Stage- Reduction gearbox for all terrain vehicles application. Gearbox is a mechanical unit consisting of series of gears within a housing (casing) or a simple gear train. It is the main component of the powertrain system as it provides speed and torque conversions from the Engine or CVT to the wheels. The gears inside of gearbox can be any one of a number of different types of the gear that are available in the market i.e., from spur gears to worm gears and planetary gears as well. In this report the gearbox is made from a helical gear train. This report focuses on selection of overall reduction ratio of the gearbox, material selection, selection of gear dimensions, selection of shaft dimension, design of key and bearing selection from SKF bearing catalogue. The bending and wear strengths are calculated to determine factor of safety and later, Finite element analysis is performed to validate the results. Keywords: Geartrain, Shaft Design, SKF Bearings, Solidworks, FEA

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Huy, Trieu Quy, Nguyen Van Binh, Dinh Van Thanh, Tran Huu Danh, and Nguyen Van Trang. "Optimization of a Two-stage Helical Gearbox with Second Stage Double Gear Sets to Reduce Gearbox Mass and Increase Gearbox Efficiency." WSEAS TRANSACTIONS ON APPLIED AND THEORETICAL MECHANICS 18 (December 31, 2023): 287–98. http://dx.doi.org/10.37394/232011.2023.18.27.

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This work aims to identify the key design components for lowering gearbox mass and raising gearbox efficiency by multi-target optimizing a two-stage helical gearbox (THG) with second-stage double gear sets (SSDGS). In the study, the Taguchi technique and grey relation analysis (GRA) were applied to handle optimization work in two phases. The single-target problem was addressed first to narrow the separation between variable levels, and then multi-target work was addressed to establish the best primary design variables. The first and second-stage CWFW coefficients, as well as the allowed contact stresses (ACS) and the gear ratio of the first stage, were computed. The outcomes of the study can be applied to determine the best values for the main essential design factors of a THG with SSDGS.

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Qu, Heng Xu. "Structure Optimal Design Method and Engineering Application." Advanced Materials Research 311-313 (August 2011): 2440–43. http://dx.doi.org/10.4028/www.scientific.net/amr.311-313.2440.

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he paper introduces the analysis of finite element for gearbox’s intensity, then optimal design for gearbox has achieved good optimal result leading to the weight reduced 3746kg, 23.18%less than original weight with the thickness of the main board as deign variables and the stress and displacement as constraint conditions. The optimization results have practical significance on the structural optimization and the weight of the gearbox, offering reference data for weight reduction of gear box design.

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Bao, Le Duc, Vu Duc Binh, Dinh Van Thanh, Khac Minh Nguyen, and Le Xuan Hung. "Multi-Objective Optimization of a Two-stage Helical Gearbox with Double Gears in the First Stage using MARCOS." Engineering, Technology & Applied Science Research 14, no. 6 (2024): 18245–51. https://doi.org/10.48084/etasr.8865.

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This study demonstrates the solution of the Multi-Objective Optimization Problem (MOOP) of a two-stage helical gearbox with double gears at the first stage, following the MARCOS methodology. The goal of this work is to identify the most effective essential design factors to reduce the bottom area of the gearbox while maximizing its efficiency, which constituted a significant novel finding. For this purpose, three crucial design parameters were selected, the first stage gear ratio and the wheel face width (Xba) coefficients for the first and second stage. Furthermore, the Multi-Criteria Decision Making (MCDM) issue was chosen to be handled by the MARCOS method, and the weight criterion for solving the MOOP was determined by the MEREC method. The drawn conclusions are useful in developing a two-stage helical gearbox with double gears at the first stage by helping to identify the ideal values for the three important design parameters.

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Vu, Duc-Binh, Huu-Danh Tran, Van-Thanh Dinh, Duong Vu, Ngoc-Pi Vu, and Van-Trang Nguyen. "Solving a Multi-Objective Optimization Problem of a Two-Stage Helical Gearbox with Second-Stage Double Gear Sets Using the MAIRCA Method." Applied Sciences 14, no. 12 (2024): 5274. http://dx.doi.org/10.3390/app14125274.

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This paper provides a novel application of the multi-criteria decision-making (MCDM) method to the multi-objective optimization problem (MOOP) of creating a two-stage helical gearbox (TSHG) with second-stage double gear sets (SDGSs). The aim of the study is to determine the optimum major design components for enhancing the gearbox efficiency while reducing the gearbox volume. In this work, three primary design parameters are chosen to accomplish this: the gear ratio of the first stage and the coefficients of the wheel face width (CWFW) of the first and second stages. Additionally, the study is conducted with two distinct objectives in mind: the lowest gearbox volume and the maximum gearbox efficiency. Moreover, phase 1 and phase 2, respectively, are the two stages of the MOOP. Phase 2 handles the MOOP to identify the ideal primary design factors as well as the single-objective optimization problem to minimize the difference between the variable levels. Additionally, the Multi-Attributive Ideal–Real Comparative Analysis (MAIRCA) approach is selected to deal with the MOOP. The results of the study are utilized to determine the ideal values for three crucial design parameters in order to create a TSHG with SDGSs.

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Ling, Ling, and Yong Huang. "Topology Optimization Design of Gearbox Housing in Electric Bus." Applied Mechanics and Materials 574 (July 2014): 173–78. http://dx.doi.org/10.4028/www.scientific.net/amm.574.173.

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The virtual prototyping technology in corporation with a finite element analysis was first used to analyze the strength and stiffness of gearbox casing in an electric bus. On the basis of this analysis, the topology optimization technology (TOT) based on the variable density method was introduced into the design of gearbox casing which takes the minimized total flexibility of gearbox as the objective function, the density of each cell as the design variable and the volume as the design constraint. Then, according to the results of topology optimization and the requirements of manufacturing process, the structure of gearbox casing was designed in detail. Finally, the stress analysis of the housing model of the final design was carried out. The results show that the optimized housing not only meets the design requirements of stiffness and strength, but also reduces its quality, which can make the performance of gearbox achieve optimal.

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Yang, Shao Bo, Jun Fu Zhang, Jin Ge Wang, and Xing Qiao Deng. "Optimal Design of Drive System in Wind Power Generation Acceleration Gearbox Based on Matlab." Applied Mechanics and Materials 34-35 (October 2010): 50–56. http://dx.doi.org/10.4028/www.scientific.net/amm.34-35.50.

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Performance of gearbox drive system has a great impact on the working life of the whole drive mechanism, especially in wind power generation systems. Using the power split differencial drive system, the objective function of speed up Gearbox optimal design is built adopting the nonlinear constrant minimum function Fmincon from Matlab, the constraints are settled and the relevant parameters of the gearbox with the minimum volume while satisfying the transmission ratio are finally obtained. Then the optimised results is verified with single factor method. The results show that the overall volume of the gearbox is reduced by 9.13% after optimization.

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Wang, Zhong, Ming Rui Chen, and Xing Fu. "Application of Behavioral Modeling Technology in Gearbox Cabinet Optimal Design." Applied Mechanics and Materials 58-60 (June 2011): 141–46. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.141.

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The behavior modeling technology is introduced. A gearbox cabinet model is analyzed and optimized in this paper with Pro/Engineer behavioral modeling tool, the geometry of gearbox cabinet model is generated and controlled through the intelligent approach of knowledge capture and iterative solution, the optimum design results are obtained, and multi-objective design of the cabinet model is also analyzed in this paper.

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Salgado, D. R., and F. J. Alonso. "Optimal machine tool spindle drive gearbox design." International Journal of Advanced Manufacturing Technology 37, no. 9-10 (2007): 851–60. http://dx.doi.org/10.1007/s00170-007-1028-6.

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Buiga, Ovidiu. "A 2K-h Single-Row Planetary Gearbox Optimal Design with Genetic Algorithms." Advanced Engineering Forum 8-9 (June 2013): 389–96. http://dx.doi.org/10.4028/www.scientific.net/aef.8-9.389.

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In conventional methods, designing a gear drive such as a 2K-h single-row planetary gearbox requires a very large number of calculations based on recommended gear standards, trial and error methods, etc. This time consuming process may often finish up with inadequate design outcomes. Therefore, in this paper a Genetic Algorithm (GA) methaeuristics is considered in order to resolve this complex design problem. The GA was used to find the optimal values of 14 genes (i.e. design variables) that define the planetary gearbox. The optimal design of the power transmission was evaluated considering the mass minimization criterion. The results of the optimised planetary gearbox suggest a reduction of the mass with 15.16% as compared with the situation when the traditional design was used.

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Vishwas, Jorrigala Sai. "Fabrication of Five Speed Gear Box." International Journal for Research in Applied Science and Engineering Technology 13, no. 2 (2025): 268–76. https://doi.org/10.22214/ijraset.2025.66823.

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This research delves into the refinement of a 5-speed gearbox mechanism through a comprehensive fabrication approach involving hole drilling. The study encompasses the entire fabrication process, from initial design considerations to performance evaluation, with a focus on enhancing efficiency and functionality. Through meticulous design optimization, material selection, and precision machining, the gearbox components are fabricated with strategically placed holes aimed at mitigating friction, improving lubrication distribution, and optimizing power transmission. Results demonstrate significant improvements in efficiency and performance metrics compared to conventional gearbox designs. Furthermore, the study highlights the broader implications of the fabricated gearbox, including its potential applications in automotive, industrial, and aerospace sectors, where efficient power transmission is critical for optimal performance and reliability. Overall, this research contributes to the advancement of gearbox technology by offering a novel fabrication technique and insights into improving mechanical system efficiency and functionality

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Tian, Ji Ming, and Xin Tan. "The Optimization Design of Wind Turbine Gearbox Based on Improved Genetic Algorithm and Feasibility Analysis." Advanced Materials Research 889-890 (February 2014): 107–12. http://dx.doi.org/10.4028/www.scientific.net/amr.889-890.107.

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The design of the gearbox must ensure the simplest structure and the lightest weight under the premise of meeting the reliability and life expectancy. According to the requirement of wind turbine, an improved method combined dynamic penalty function with pseudo-parallel genetic algorithm is used to optimize gearbox. It takes the minimum volumes as object functions. It is showed that the ability to search the global optimal solution of improved genetic algorithm and less number of iterations. The global optimal solution is worked out quickly. The size parameters are optimized, as much as the driving stability and efficiency. To verify the feasibility of improved genetic algorithm, ring gear of the gearbox is analyzed. Static strength analysis shows that the optimization method is reasonable and effective.

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He, Hui Bo, Hua Ying Li, Jun Yang, Guo Cheng Lu, and Tao Gu. "Research on the Optimal Design and Gear Modification of Gearbox of a Wind Turbine Based on the Virtual Prototype." Advanced Materials Research 989-994 (July 2014): 2917–21. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2917.

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This article describes a new mixed transmission system about the wind power gearbox. It is composed of one NGW planetary gear stage and two parallel gear stages. The modeling and optimization analysis of gearbox have been performed using Romax designer software. The load case of gear, gear modification, transmission error and Fast Fourier Transform Harmonics of wind gearbox have been carried out to investigate various performances of gearbox system. Results of the investigation show the maximum load per unit length of gear reduces about 7.2%, Transmission Error of gear reduces 74.3% and Fast Fourier Transform Harmonics decreases 77.4% after gear modification. This kind of design method has a remarkable effect on smooth running. And it provides a new research method for gear box of wind turbine.

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Wang, Ni, Wen, et al. "Dynamic Performance Optimization of Circular Sawing Machine Gearbox." Applied Sciences 9, no. 20 (2019): 4458. http://dx.doi.org/10.3390/app9204458.

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To optimize the rigidity and dynamic mechanical properties of a sawing machine and improve its processing quality and stability, a design method for the sawing machine’s gearbox was proposed. First, a lightweight design of the gearbox was realized by topology optimization. Second, the sensitivity of different design variables of the new gearbox was determined via sensitivity analysis of the objective function. Finally, multi-objective optimization was used to obtain the optimal solution for the gearbox. Considering the complexity of the internal structure of the gearbox assembly and the accuracy of the numerical calculation process, a modeling method with mass points was proposed. A comparison between the numerical calculation results and the operation mode analysis revealed that the former was accurate and can be applied to the verification of the optimized gearbox. By optimizing the vibration signals before and after, and the analysis of the end face quality of the workpiece, the results revealed that the optimized gearbox has a significantly reduced amplitude under various operating conditions. In addition, the vibration stability was improved, and the end face quality of the workpiece was significantly enhanced compared to that before optimization. This study serves as a theoretical reference for multi-body dynamics modeling and optimization of machine tools, and also outlines technical solutions for high-speed stable cutting with sawing machines.

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Bondarenko, Oleksiy, Oleksandr Ustynenko, Roman Protasov, and Sergij Andrienko. "CRITERIA AND OBJECTIVE FUNCTIONS IN THE RATIONAL DESIGN OF TWO-SHAFT GEARBOXES." Bulletin of the National Technical University «KhPI» Series: Engineering and CAD, no. 2 (December 28, 2024): 14–21. https://doi.org/10.20998/2079-0775.2024.2.02.

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The relevance of the scientific and practical task of forming criteria and objective functions in the rational design of two-shaft gearboxes is described. This has made it possible to understand the need to highlight the topic and conduct relevant research and scientific discussions on the issue. The most significant mass and dimensional characteristics of two-shaft gearboxes from the perspective of vehicle design have been identified and used as criteria for optimal and rational design. Specifically: the center distance, which determines the placement of the gearbox shafts and its height; the length of the gearbox, which determines one of the main overall dimensions of the gearbox; the weight of the gearbox, the reduction of which may be dictated by the requirements for the technical object and also leads to a reduction in the material used and energy consumption; and the probability of reliable operation. Objective functions corresponding to the criteria of optimal and rational design are formulated, which are expressed by functional dependencies between geometric-constructive parameters and mass-dimensional characteristics, and also take into account the strength aspects of the main elements of two-shaft gearboxes. The objective function of the minimum center distance allows reducing the sum of the center distances of all gear meshes of the gearbox, and considering the condition of equality of the center distances of the gearbox gear meshes among themselves, to preserve the structural features and arrangement of the gear meshes. The objective function of minimum length accurately characterizes the linear dimension (length) of the gearbox. It considers not only the widths of the gear teeth but also other indicators (clearances, bearings, synchronizers, etc.), which are significant additions and increase the accuracy of calculations. The objective function of minimum weight of the gearbox consists of the weights of its main elements, namely: gears, shafts, bearings, synchronizers, and housing with the shifting mechanism. These elements make the main contribution to the mass characteristic, and the weights of other parts will be neglected due to their small sizes and inclusion in the error, which may be permissible for estimation calculations. The objective function of maximum reliability probability is presented as a certain «integral» value, which contains all calculated coefficients of stress levels for bending and contact stresses. Also design variables are defined

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Timofeev, Andrei, Aleksandr Tarasov, and Yurii Novoselov. "Development of the manipulator hinge based on the original planetary differential gearbox." Robotics and Technical Cybernetics 12, no. 2 (2024): 139–45. http://dx.doi.org/10.31776/rtcj.12208.

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For manipulation in small spaces, a compact hinge based on an original planetary differential gearbox is pro-posed. The kinematic diagram of the gearbox is described, the methodology for choosing its optimal parameters is outlined, and compared with wave and traditional planetary gearboxes from leading companies. A joint design is presented, including a planetary differential gearbox, motor, an angle sensor and slip rings. A manipulator built on the basis of the proposed hinges is described.

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Hu, Guo Yu, and Wen Lei Sun. "Virtual Prototype Modeling and Dynamics Analysis of a Large-Scale Wind Turbine’s Gearbox." Advanced Materials Research 314-316 (August 2011): 1043–47. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.1043.

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With the gearbox of a large-scale wind turbine as a study object, the virtual prototype model of gearbox is created based on UG and ADAMS softwares according to its design parameters such as structure and size. By rigid and flexible dynamics analysis for gearbox, the angular velocity and acceleration curves of the in-out shaft are obtained. Gear meshing forces and flexible body stress cloud using ADAMS are also obtained. It is verified that these results are coincided with the theoretical value through analysis and the simulation results of ADAMS are valid. The simulation results show that the design level of wind turbine gearboxes can be improved using the virtual prototype technology and lay a good foundation for further optimal design.

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Gurko, Alexander, and Mykola Mykhalevych. "OPTIMAL CONTROL OF AN ACTUATOR OF A ROBOTIC GEARBOX." Bulletin of Kharkov National Automobile and Highway University 1, no. 92 (2021): 72. http://dx.doi.org/10.30977/bul.2219-5548.2021.92.1.72.

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Problem. Despite the vigorous development of electric vehicles, the task of facilitating the driver to handle with elements of mechanical transmission remains relevant. For this purpose, the automation of mechanical transmission units is performed. For instance, so-called robotic gearboxes are widespread. The principle of operation of such gearboxes is similar to mechanical ones, but special separate actuators carry out the selection and shifting into the desired gear. The design of a robotic gearbox was proposed at the Automobile Department of Kharkiv National Automobile and Highway University. At this gearbox, two DC motors are used as actuators. The efficiency of this gearbox largely depends on the efficiency of the DC motors control system, which should provide smooth but at the same time fast and accurate positioning of their shafts. In previous works, PID controllers were used to controlling the actuator of the gearbox. However, although the PID controller provides satisfactory quality of the control system, it is not an optimal controller. Goal. The goal of this paper is to develop an optimal controller for the actuators of the robotic gearbox mentioned above. Methodology. To meet this goal, it was proposed to use a linear-quadratic controller (LQR). The analysis of the impact on transient processes in the control system of the values of the weighting factors in the quadratic performance criterion is performed. Results. The LQR synthesized provides high speed of response (within of 0.5 s) at the desired gear selecting and more than two times less overshoot compared to the PID regulator. Originality. The regularities in the gearbox drive performance when changing the values of the weighting factors in the performance criterion have been established. An optimal control system for the robotic gearbox actuator has been developed. Practical value. The implementation of the designed controller will increase the efficiency of the gearbox under consideration.

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Touimi, Khalil, Mohamed Benbouzid, and Zhe Chen. "Optimal Design of a Multibrid Permanent Magnet Generator for a Tidal Stream Turbine." Energies 13, no. 2 (2020): 487. http://dx.doi.org/10.3390/en13020487.

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Tidal stream energy is acquiring more attention as a future potential renewable energy source. Considering the harsh submarine environment, the main challenges that face the tidal stream turbine (TST) industry are cost and reliability. Hence, simple and reliable technologies, especially considering the drivetrain, are preferred. The multibrid drivetrain configuration with only a single stage gearbox is one of the promising concepts for TST systems. In this context, this paper proposes the design optimization of a multibrid permanent magnet generator (PMG), the design of a planetary gearbox, and afterwards analyzes the multibrid concept cost-effectiveness for TST applications. Firstly, the system analytical model, which consists of a single-stage gearbox and a medium speed PMG, is presented. The optimization methodology is afterwards highlighted. Lastly, the multibrid system optimization results for different gear ratios including the direct-drive topology are discussed and compared where the suitable gear ratio (topology) is investigated. The achieved results show that the multibrid concept in TST applications seems more attractive than the direct-drive one especially for high power ratings.

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Park, Young-Jun, Geun-Ho Lee, Jin-Seop Song, Yong-Yun Nam, and Ju-Seok Nam. "Optimal Design of Wind Turbine Gearbox using Helix Modification." Engineering in Agriculture, Environment and Food 6, no. 4 (2013): 147–51. http://dx.doi.org/10.1016/s1881-8366(13)80001-8.

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Santana, H., D. Parco, C. Galdos, A. Calcina, R. De la Cruz, and N. Moggiano. "Design of 10:1 Speed Reducer for an Elevator." Journal of Physics: Conference Series 2512, no. 1 (2023): 012011. http://dx.doi.org/10.1088/1742-6596/2512/1/012011.

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Abstract This work aims to design a mechanical transfer system that allows us to integrate the need for power and speed ratio existing in the industry to obtain a safe mechanism ensuring the transmission system, which is optimal for maintenance. The methodology consists of two-stage gearbox design features a gear mechanism with a gear ratio of 10 to 1 to decrease the output speed and increase the motor torque. The gearbox design parameters were calculated using the Excel program; for the simulations the SolidWorks program was used. To check the gear analysis, the calculation of the safety factor of the pinion, the gears and the material validation are evidenced.

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Vu, Ngoc-Pi, Dinh-Ngoc Nguyen, Anh-Tung Luu, et al. "The Influence of Main Design Parameters on the Overall Cost of a Gearbox." Applied Sciences 10, no. 7 (2020): 2365. http://dx.doi.org/10.3390/app10072365.

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This study is aimed at determining optimum partial gear ratios to minimize the cost of a three-stage helical gearbox. In this work, eleven input parameters were investigated to find their influence on the optimum gear ratios of the second and the third stages ( u 2 and u 3 ). To reach the goal, a simulation experiment was designed and implemented by a cost optimization program. The results revealed that in addition to the input parameters, their interactions also have important effects in which the total ratio gearbox ratio ( u t ) and the cost of shaft ( C s ) have the most impact on u 2 and u 3 responses, respectively. Moreover, the proposed models of the two responses are highly consistent to the experimental results. The proposed regression equations can be applied to solve optimization cost problems.

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Deb, Kalyanmoy, and Sachin Jain. "Multi-Speed Gearbox Design Using Multi-Objective Evolutionary Algorithms." Journal of Mechanical Design 125, no. 3 (2003): 609–19. http://dx.doi.org/10.1115/1.1596242.

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Optimal design of a multi-speed gearbox involves different types of decision variables and objectives. Due to lack of efficient classical optimization techniques, such problems are usually decomposed into tractable subproblems and solved. Moreover, in most cases the explicit mathematical expressions of the problem formulation is exploited to arrive at the optimal solutions. In this paper, we demonstrate the use of a multi-objective evolutionary algorithm, which is capable of solving the original problem involving mixed discrete and real-valued parameters and more than one objectives, and is capable of finding multiple nondominated solutions in a single simulation run. On a number of instantiations of the gearbox design problem having different complexities, the efficacy of NSGA-II in handling different types of decision variables, constraints, and multiple objectives are demonstrated. A highlight of the suggested procedure is that a post-optimal investigation of the obtained solutions allows a designer to discover important design principles which are otherwise difficult to obtain using other means.

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Lin, Teng Jiao, Fei Yu Geng, Ze Yin He, and Guang Ming Lan. "Multi-Objective Dynamic Optimum Design of Crane Gearbox." Applied Mechanics and Materials 483 (December 2013): 550–54. http://dx.doi.org/10.4028/www.scientific.net/amm.483.550.

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The lower vibration and lightweight design is of great significance to large mechanical equipment. In order to achieve the best dynamic performance of cranes, this paper presents a multi-objective optimization approach based on finite element method. Firstly, the finite element model of coupling system consist of gear-rotor-bearing-housing is established. Subsequently, the transient response of the gearbox is studied using modal superposition method. Then with the purpose of reducing the vibration and preventing sympathetic resonance, a multi-objective optimizer is developed by employing a parametrical design language and obtained the optimal combination of design parameters after several iterations. The method and conclusions can be used as a reference of dynamic modification of large machineries.

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Maláková, Silvia, and Samuel Sivák. "Practical Example of Modification of a Gearbox Lubrication System." Lubricants 10, no. 6 (2022): 110. http://dx.doi.org/10.3390/lubricants10060110.

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This paper presents the optimization of the lubrication method of a helical bevel gearbox, which is part of a pickling line. The first gear stage of this gearbox showed frequent failures. The bevel gearing and bearings were damaged. Damage analysis was performed, based on which a change in bevel gearing and bearing lubrication was proposed. In this case, the original transmission was lubricated by dip lubrication. The bevel gear wheel was insufficiently submerged below the lubricating oil level. Due to insufficient lubrication of the bevel gearing, both gear wheels, the bevel pinion, and the bevel wheel were damaged. Central circulating lubrication has been proposed for the bevel gear pair and first gearbox shaft bearings. This paper deals with the design of circulating lubrication components. Changes and modifications to an existing lubrication system are proposed. The layout of the gearbox in question was not originally designed and adapted for the circulating lubrication required. To improve the original lubrication system, it was decided that it should be redesigned with central circulating lubrication, which meant implementing the necessary gearbox casing modifications. Our novel contribution is the proposition of an innovative transmission lubrication system aimed at increasing the service life parameters of the transmission. After the implementation of the proposed modifications to the lubrication method, a period of monitoring the operating characteristics of the gearbox followed. With the modification of the lubrication system of the bevel gear pair, the temperature on the gearing surface was lowered by 39%. The service life of the gearbox increased from the original 1.9 years to at least 5 years. On the basis of the long-term monitoring of changes caused by the adjustment of the lubrication method, we can state that the requirement was met, and the frequent failures of this gearbox were eliminated.

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Sun, Wei, Hui Ma, Xiao Peng Li, and Bang Chun Wen. "Research and Implement of Visual Simulation System for Automobile Gearbox Assembling Line." Applied Mechanics and Materials 16-19 (October 2009): 649–53. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.649.

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Automobile gearbox assembling line is a typical dynamic discrete system. It is very difficult to guarantee the layout reasonability and running reliability of the system with traditional experience design. In the paper, with the given automobile gearbox assembling line, visual simulation was adopted to realize the design and management of the system. The methods of queue-service net and event scheduling were applied on the modeling of assembling line and simulation of running process, respectively. And through the experiments on the system, the optimal number of AGV and reasonable scheduling rule were obtained.

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Chen, Z. S., Yong Min Yang, Z. X. Ge, and C. Li. "Embedded Sensing Design of Gearboxes for Vibration Monitoring." Applied Mechanics and Materials 29-32 (August 2010): 264–68. http://dx.doi.org/10.4028/www.scientific.net/amm.29-32.264.

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Vibration signal analysis is one of the most effective ways for condition monitoring of gearboxes. Traditional way is often to mount additional accelerometer sensors on their cases, which has two unavoidable defects: signal-to-noise ratio is often low due to long signal travel paths and it may be not allowable due to space limitations. While embedded diagnostics (ED) can solve these two problems well by embedding sensors close to fault sources. However, embedded sensing design is a great challenge of ED because embedded sensors must have effects on the structure integrity of a gearbox. So it is necessary to determine how to embed sensors in order to ensure normal functions of a gearbox. In this paper, a finite element-based structure analysis method was proposed to perform embedded sensing design of bearings and gears to determine the optimal modified structure size.

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He, Hui-Bo, Hua-Ying Li, Sung-Ki Lyu, Sung-Hoon Tak, Sung-Min Moon, and Qi Zhang. "Optimal design of a tilling machine reduction gearbox using Matlab." International Journal of Precision Engineering and Manufacturing 10, no. 2 (2009): 63–66. http://dx.doi.org/10.1007/s12541-009-0028-x.

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Salgado, D. R., and F. J. Alonso. "Optimal mechanical spindle speeder gearbox design for high-speed machining." International Journal of Advanced Manufacturing Technology 40, no. 7-8 (2008): 637–47. http://dx.doi.org/10.1007/s00170-008-1378-8.

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Aher, Aditya. "Addendum Modified Gear for an All-Terrain Vehicle Gearbox." International Journal for Research in Applied Science and Engineering Technology 10, no. 8 (2022): 574–77. http://dx.doi.org/10.22214/ijraset.2022.46256.

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Abstract: Transmission system is designed for the all-terrain vehicle consisting of continuously variable transmission, gearbox and drive shaft. A type of V-belt drive which shifts ratios in accordance with input speed and output torque has been successfully employed in the transmission for all-terrain vehicle. CVT is coupled with addendum modified dual stage helical torque reducer which amplifies the torque from the CVT and transmits it to the wheels through drive shaft. The design has evaluated using simulation software like Kissoft.

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Chagoyén-Méndez, César Alberto, Jorge Laureano Moya-Rodríguez, Constantina Álvarez-Peña, and Yaidel Muñiz-Acosta. "Calculation of the helical parallel transmission of a wind turbine gearbox." Revista Facultad de Ingeniería Universidad de Antioquia, no. 73 (November 13, 2014): 157–65. http://dx.doi.org/10.17533/udea.redin.16530.

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The gearbox of a wind turbine is the component of greatest mechanical complexity and is responsible for most wind turbines operational downtime and for increased costs. It doesn’t reach a 20 years projected life. All the studies, until now, indicate that these failures arise from the design process. This work demonstrates some of the inadequacies of the current design standards of wind turbines gearboxes, through the realization of a comparison of the results of the calculation of the helical parallel transmission of an 2,5 ME wind turbine, carried out by three ways: ISO 6336:2006 Method B and AGMA 2101-D04 (Metric Edition) standards and by using numeric simulation. The results of this analysis are that there are no problems of strength or rigidity in both transmissions, however the differences between these three calculation methods are considerable.

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Güven, Onur, and Mehmet Altunbaşak. "Computer aided design of chain elavator." Uluslararası Mühendislik Tasarım ve Teknoloji Dergisi 6, no. 2 (2024): 45–52. https://doi.org/10.70669/ijedt.1507525.

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In this study, a computer program has been developed for the computer-aided design of single-strand chain elevators, which carry powder, bulk, and piece materials and have a wide range of applications. In industry or other usage areas, the most common single-strand chain, gravity tensioned, pre-bedded, bucket elevator is dimensioned using accepted coefficients, tables, catalogs, and formulas. The drive system includes an electric motor, gearbox, bearing, shaft, sprocket, sprocket hub, chain, bucket, and drive upper and lower body enclosure. Brands such as Nord, Yılmaz, Remas, and Flender are used as gearboxes, while brands such as SKF and FAG are used for bearings. In our calculations, a computer program has been developed based on the technical specifications of Remas for the gearbox and SKF for the bearings. Through the use of computer-aided design for the chain elevator, time loss and the burden of the design process were significantly reduced. This study has led to the identification of optimal design values, which in turn has lowered design costs. Operating costs were also minimized by avoiding design errors.

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Zheng, Li Ming, Hui Xin Li, and Yan Chen. "Analysis and Optimization of Flexible Supported Drive Train in a Wind Turbine." Applied Mechanics and Materials 130-134 (October 2011): 2861–65. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.2861.

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Based on conventional drive train model of wind turbines, a planetary gearbox with flexible supporting between gearbox case and nacelle base is considered, and the coupled dynamic model of the drive train system is derived. The gearbox inner vibration performances are evaluated under different flexible parameters by means of dynamic simulation. It is shown that natural frequencies of each shaft are drifting while damping and elastic coefficients changing. Analysis also reveals that the flexible supporting mitigates torsion vibrations of each shaft. To minimizing torsion vibrations, a new searching approach is used to find out optimal parameters of the flexible supporting. Simulation results show that dynamic torque loads of the drive train are reduced, which is useful to wind turbine structure design.

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