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Journal articles on the topic 'Taguchi optimization'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Raji, Akinwale Olusegun, and Sunday Ayoola Oke. "Enhancement of Maintenance Downtime Using Poisson Motivated-Taguchi Optimization Method." Al-Nahrain Journal for Engineering Sciences 22, no. 4 (2019): 294–306. http://dx.doi.org/10.29194/njes.22040294.

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In an original article, an addition was made to the well-known Taguchi’s methodical design literature by proposing how Poisson distribution may be incorporated into the Taguchi method for enhanced performance analysis in optimization. While the article is recent, it was found compelling enough to apply this novel concept of Poisson distribution to a growing area of maintenance research known as maintenance downtime analysis. Consequently, this paper contributes to the expanding research neighborhood through a Taguchi optimization method based on Poisson distribution related to the maintenance

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Mohanty, Saumya Darsan, Ramesh Chandra Mohanty, and Siba Sankar Mahapatra. "Study on Performance of EDM Electrodes Produced Through Rapid Tooling Route." Journal of Advanced Manufacturing Systems 16, no. 04 (2017): 357–74. http://dx.doi.org/10.1142/s0219686717500214.

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The present study highlights a multi-objective optimization problem by applying utility concept coupled with Taguchi method through a case study in electric discharge machining of D2 steel by using electrode produced by direct metal laser sintering (LS). The study aimed at evaluating the best process environment which could simultaneously satisfy multiple requirements such as tool wear rate, material removal rate, and surface roughness. As traditional Taguchi method cannot solve a multi-objective optimization problem, to overcome this limitation, utility theory has been coupled with Taguchi me

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Struzikiewicz, Grzegorz, Wojciech Zębala, and Ksenia Rumian. "Application of Taguchi Method to Optimization of Cutting Force and Temperature during Turning of Difficult to Cut Materials." Key Engineering Materials 686 (February 2016): 114–18. http://dx.doi.org/10.4028/www.scientific.net/kem.686.114.

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The paper presents an analysis of the selection of the regression function in the optimization of steel turning using Taguchi method. The study attempts to investigate cutting force and temperature during turning of steel. Taguchi L16 (4) 2 orthogonal array has been applied for experimental design. S/N ratio and ANOVA analyses were performed to identify significant parameters influencing cutting force and temperature. Mathematical models for both response parameters i.e. cutting force and temperature roughness were obtained through regression analysis. The confirmation experiments carried out

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Sriprateep, Keartisak, Puttipong Patumchat, and Wasan Theansuwan. "Application of Taguchi Method in the Optimization of Cutting Parameters for Turning Metal Matrix Composite." Advanced Materials Research 189-193 (February 2011): 3056–60. http://dx.doi.org/10.4028/www.scientific.net/amr.189-193.3056.

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The objective of this study was to utilize Taguchi methods to optimize surface roughness, tool wear and power required to perform the machining operation in turning metal matrix composites (MMC). The cutting parameters are analyzed under varying cutting speed, feed rates and cutting time. The settings of turning parameters were determined by using Taguchi’s experimental design method. Orthogonal arrays of Taguchi, the signal-to-noise (S/N) ratio, the analysis of variance (ANOVA) are employed to find the optimal levels and to analyze the effect of the turning parameters. Confirmation tests with

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Ting, T. O., H. C. Ting, and T. S. Lee. "Taguchi-Particle Swarm Optimization for Numerical Optimization." International Journal of Swarm Intelligence Research 1, no. 2 (2010): 18–33. http://dx.doi.org/10.4018/jsir.2010040102.

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In this work, a hybrid Taguchi-Particle Swarm Optimization (TPSO) is proposed to solve global numerical optimization problems with continuous and discrete variables. This hybrid algorithm combines the well-known Particle Swarm Optimization Algorithm with the established Taguchi method, which has been an important tool for robust design. This paper presents the improvements obtained despite the simplicity of the hybridization process. The Taguchi method is run only once in every PSO iteration and therefore does not give significant impact in terms of computational cost. The method creates a mor

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Joseph, Samuel, Muhammad U. Kaisan, and Yinka S. Sanusi. "Taguchi-Grey Optimization of Tribological Characteristics of Blended SAE 40 Lubricant." KIU Journal of Science, Engineering and Technology 2, no. 1 (2023): 84–96. http://dx.doi.org/10.59568/kjset-2023-2-1-11.

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A high proportion of lubricants used in automobile engines are mineral-based oil. The depletion of oil reserves and the concerns (non-biodegradable, toxic and environmental issues) of mineral based lubricants prompted the research for a viable alternative. Vegetable oil has been proposed as a potential substitute for the mineral-base lubricants due to its natural and eco-friendly characteristics. In this study, optimization of tribological characteristics of blended SAE 40 produced from SN 500 mineral oil, Shea butter bio-base oil, and viscosity improver was carried out on pin-on-disc tribomet

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Madić, Miloš, Miroslav Radovanović, Margareta Coteata, Predrag Janković, and Dušan Petković. "Multi-Objective Optimization of Laser Cutting Using ROV-Based Taguchi Methodology." Applied Mechanics and Materials 809-810 (November 2015): 405–10. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.405.

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Multi-objective optimization of laser cutting for simultaneous improvement of performance characteristics is of great practical importance. In this study a range of value (ROV)-based Taguchi methodology is proposed for multi-objective optimization of laser cutting, i.e. surface roughness, kerf width and burr height in CO2laser cutting of AISI 304 stainless steel. Laser cutting experiment was conducted based on Taguchi’s L27experimental design by varying the laser power, cutting speed, assist gas pressure and focus position at three levels. In the proposed methodology based on the experimental

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Sengottuvel, P., V. Palanisamy, J. Arun, N. R. R. Anbusagar, and J. Hameed Hussain. "EDM Process Parameters Optimization Using Taguchi Method." Applied Mechanics and Materials 766-767 (June 2015): 867–72. http://dx.doi.org/10.4028/www.scientific.net/amm.766-767.867.

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In this paper , the parameters of Electrical Discharge Machine (EDM) are investigated during the machining of Inconel 718 by using different sizes of circular Aluminum electrode. Demand for better surface finishes are increasing recently for all materials, the low rigidity and high material removal rate of Inconel alloys offers a challenging task in obtaining better Surface Finish. The analysis of surface characteristics like Surface Roughness (SR) of Inconel 718 material is carried out an excellent surface finish can be obtained by setting the machining parameters at optimum level. Experiment

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Abdo, Basem M. A., S. M. Darwish, A. M. Al-Ahmari, and A. M. El-Tamimi. "Optimization of Process Parameters of Rotary Ultrasonic Machining Based on Taguchis Method." Advanced Materials Research 748 (August 2013): 273–80. http://dx.doi.org/10.4028/www.scientific.net/amr.748.273.

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In this Research, Taguchi optimization methodology is used to optimize Rotary Ultrasonic Machining (RUM) parameters for face milling of zirconia ceramic. The influence of the RUM parameters such as vibration frequency, vibration amplitude, spindle speed, feed rate, and depth of cut on cutting force and material removal rate (MRR) is studied. A three-level orthogonal array table is used to determine the signal-to-noise (S/N) ratios based on Taguchis design of experiments. Furthermore, analysis of variance (ANOVA) has been performed to study the relative significance of the different factors on

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Biswas, A., S. Bhaumik, Gautam Majumdar, Saurav Datta, and S. S. Mahapatra. "Bead Geometry Optimization of Submerged Arc Weld: Exploration of Weighted Principal Component Analysis (WPCA)." Applied Mechanics and Materials 110-116 (October 2011): 790–98. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.790.

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The present work attempts to overcome underlying assumptions in traditional Taguchi based optimization techniques highlighted in literature. Taguchi method alone fails to solve multi-response optimization problems. In order to overcome this limitation, exploration of grey relation theory, desirability function approach, utility theory etc. have been found amply applied in literature in combination with Taguchi method. But aforesaid approaches relies on the assumption that individual response features are uncorrelated i.e. independent of each other which are really impossible to happen in pract

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Periyanan, P. R., and U. Natarajan. "Optimization of multiple-quality characteristics in micro-WEDG process using Taguchi technique." International Journal of Quality & Reliability Management 31, no. 2 (2014): 205–19. http://dx.doi.org/10.1108/ijqrm-12-2011-0158.

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Purpose – Micro-EDM is an important process in the field of micro-machining. Especially, the μEDM is one of the technologies widely used for manufacture of micro-parts, micro-tools and micro-components, etc. The accuracy and repeatability of the μEDM process is still highly dependent on the μWEDG process. The electrode generation and regeneration is considered a key enabling technology for improving the performance of the μEDM process. Many engineers considered the Taguchi technique as engineering judgment during multiple response optimizations. This paper aims to focus on the use of micro-WED

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Wolniak, Radosław. "The usage of Taguchi methods in Industry 4.0 conditions." Scientific Papers of Silesian University of Technology. Organization and Management Series 2024, no. 198 (2024): 637–54. http://dx.doi.org/10.29119/1641-3466.2024.198.36.

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Purpose: The purpose of this publication is to present the usage of Taguchi methods approach in Industry 4.0 conditions. Design/methodology/approach: Critical literature analysis. Analysis of international literature from main databases and polish literature and legal acts connecting with researched topic. Findings: The integration of Taguchi methods with Industry 4.0 signifies a profound advancement in manufacturing and quality management. Industry 4.0, with its advanced digital technologies such as the Internet of Things (IoT), big data analytics, artificial intelligence (AI), and cyber-phys

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Aliemeke, Blessing Ngozi Goodluck, Henry Adimabuah Okwudibe, Asunumeh Sunday Ososomi, and Braimah Dirisu. "Taguchi Optimization of Screw Flight Bending Operation." ABUAD Journal of Engineering Research and Development (AJERD) 7, no. 1 (2024): 2014–220. http://dx.doi.org/10.53982/ajerd.2024.0701.22-j.

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The optimizations of screw flight bending operating parameters have been successfully carried out. The optimization of the screw flight bending operation, aims at determining optimal values for key parameters using Taguchi Design and Genetic Algorithm (GA) optimization tools. The parameters investigated include bending radius, diameter of screw, flight thickness, and bending force. Through the systematic application of Taguchi methodology and GA optimization, optimal values of 79.99 mm for bending radius, 69.997 mm for diameter of screw, 5.005 mm for flight thickness, and 232.62 N for bending

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Varun Kumar, A., M. Balasrinivasan, and Mohamed Dulkiflee. "Grey Relational Analysis and Taguchi Method for the Parametric Optimization of Single Pass Friction Stir Welded Aluminum Alloy 7075-T6 Joints." Applied Mechanics and Materials 852 (September 2016): 331–36. http://dx.doi.org/10.4028/www.scientific.net/amm.852.331.

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Friction Stir Welding (FSW) is a solid state joining technique for both similar and dissimilar combination of materials. However, there is a scope in optimizing the process parameters involved in the FSW process. Taguchi based Grey Relational Analysis (GRA) has an impact in better optimization results when compared with other optimization techniques. In this present work totally 9 samples of single pass friction stir welded aluminium alloy were taken for the optimization process. The samples were subjected to various tool speeds and traverse speeds by keeping the axial force as constant. The e

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Abdo, Basem M. A., S. M. Darwish, and A. M. El-Tamimi. "Parameters Optimization of Rotary Ultrasonic Machining of Zirconia Ceramic for Surface Roughness Using Statistical Taguchi’s Experimental Design." Applied Mechanics and Materials 184-185 (June 2012): 11–17. http://dx.doi.org/10.4028/www.scientific.net/amm.184-185.11.

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Taguchi optimization methodology is used to optimize Rotary Ultrasonic Machining (RUM) parameters for the milling of zirconia ceramic. The influence of the RUM parameters such as vibration frequency, vibration amplitude, spindle speed, feed rate, and depth of cut on the surface roughness is studied. A three-level orthogonal array table is used to determine the signal-to-noise (S/N) ratios based on Taguchi’s design of experiments. Furthermore, analysis of variance (ANOVA) has been performed to study the relative significance of the different factors on the surface roughness of zirconia ceramic.

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Ohdar, Rajkumar, Md Israr Equbal, and Vinod Kumar. "Die Stress Optimization Using Finite Element and Taguchi Method." Materials Science Forum 762 (July 2013): 319–24. http://dx.doi.org/10.4028/www.scientific.net/msf.762.319.

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In this study, finite element simulation and the Taguchi method are employed to optimize the die stress in hot closed die forging process. Investigations are carried out for forging of automotive spring saddle by including all realistic process parameters. The research involved analyzing the effects of flash thickness, billet temperature, die temperature and friction coefficient on effective die stress by means of computer simulation. To obtain the result the forging process was modeled in CATIA V5, 3D Solid Modeling Software, simulated in DEFORMTM 3D Software, and statistically setup and exam

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Hashemi, Seyed Hamid, and Abed Soleymani. "Optimization of HSC Compressive Strength by Taguchi Method." Applied Mechanics and Materials 253-255 (December 2012): 572–75. http://dx.doi.org/10.4028/www.scientific.net/amm.253-255.572.

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High strength concrete (HSC) has large application because of good performance and high durability. Optimizing mix proportions has main effect on the compressive strength of HSC. In this paper, optimizing mix proportions are investigated by Taguchi method, factors of water to cementitious material ratio (W/C), fine aggregate to total aggregate ratio (FI/AG), silica fume as supplementary cementitious material and cementitious material content were selected at three levels. After testing L9 orthogonal array and analyzing results by Taguchi method, the best optimized mix levels were predicted by

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Fei, Ng Chin, Nik Mizamzul Mehat, and Shahrul Kamaruddin. "Practical Applications of Taguchi Method for Optimization of Processing Parameters for Plastic Injection Moulding: A Retrospective Review." ISRN Industrial Engineering 2013 (June 24, 2013): 1–11. http://dx.doi.org/10.1155/2013/462174.

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Determining the optimal processing parameter is routinely performed in the plastic injection moulding industry as it has a direct and dramatic influence on product quality and costs. In this volatile and fiercely competitive market, traditional trial-and-error is no longer sufficient to meet the challenges of globalization. This paper aims to review the research of the practical use of Taguchi method in the optimization of processing parameters for injection moulding. Taguchi method has been employed with great success in experimental designs for problems with multiple parameters due to its pr

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Jin, Jie, H. Y. Yu, and S. Lv. "Optimization of Plastic Injection Molding Process Parameters for Thin-Wall Plastics Injection Molding." Advanced Materials Research 69-70 (May 2009): 525–29. http://dx.doi.org/10.4028/www.scientific.net/amr.69-70.525.

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The effects of the process parameters on the warpge and shrinkage of parts in different thickness are analyzed by Taguchi optimization method. Taguchi optimization method was used for exploiting mold analysis based on three level factorial designs. Orthogonal arrays of Taguchi, the signal-to-noise (S/N) ratio, the analysis of variance (ANOVA) are utilized to find the optimal levels and the effect of process parameters on warpage. It can be concluded that Taguchi method is suitable to solve the quality problem of the injection-molded thermoplastic parts.

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Mu, Xiaokai, Bo Yuan, Yunlong Wang, et al. "A New Application of Taguchi Method: Matching and Optimization of Assembly Deviation of Mechanical System." Journal of Physics: Conference Series 2029, no. 1 (2021): 012141. http://dx.doi.org/10.1088/1742-6596/2029/1/012141.

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Abstract In order to achieve high assembly accuracy on the basis of low manufacturing accuracy and low cost, a method of deviation factor matching and optimization based on Taguchi theory is proposed. Firstly, the specific process of multi factor matching and optimization is given based on Taguchi theory. Secondly, the orthogonal experiments were set from the aspects of performance index, influencing factors determination, orthogonal table selection and so on, and the best level combination of each deviation was selected to form the factor matching and optimization experiment scheme based on T

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Okponyia, Kenechukwu Obinna, and Sunday Ayoola Oke. "Novel EDAS-Taguchi and EDAS-Taguchi-Pareto Methods for Wire EDM Process Parametric Selection of Ni55.8Ti (Nitinol) Shape Memory Alloy." International Journal of Industrial Engineering and Engineering Management 3, no. 2 (2021): 105–22. http://dx.doi.org/10.24002/ijieem.v3i2.4998.

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The EDAS (evaluation based on distance from average solution) method is a broadly utilized tool for multi-criteria analysis with the ability to handle several conflicting criteria. The Taguchi method is an optimization tool with economic capability in experimentation. This article presents EDAS Taguchi (EDAS-T) method based on EDAS and the Taguchi method. It also presents EDAS Taguchi-Pareto (EDAS-TP) method framed from EDAS and Taguchi-Pareto methods. Furthermore, data from the literature to test the proposed methods are presented, which the results are compared. This research shows that the

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Jiang, Yang, Shuming Chen, Dengfeng Wang, and Jing Chen. "Multi-Objective Optimization of Acoustical Properties of PU-Bamboo-Chips Foam Composites." Archives of Acoustics 42, no. 4 (2017): 707–14. http://dx.doi.org/10.1515/aoa-2017-0073.

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Abstract In this study, an effective optimization approach was proposed to improve acoustical behaviors of PU foams. The important parameters of PU foams: content of water, silicone oil and catalyst A1 were chosen and their effects on sound absorption coefficient and transmission loss of PU foams were studied by using Taguchi methods. In addition, bamboo chips were incorporated into PU foams as fillers to improve the acoustical properties of PU foams. Four controlled factors: the content of water, silicone oil, catalyst A1 and bamboo chips with three levels for each factor were chosen and Tagu

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Arquam, Haris, Vibek Kumar Sharma, Ajit Bahadur Verma, and Jaidev Kumbhakar. "An overview on Taguchi's method employed for product quality improvement and its control." Radius: Journal of Science and Technology 1, no. 1 (2024): 241001. https://doi.org/10.5281/zenodo.14900600.

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Genich Taguchi, a Japanese engineer and statistician, developed a methodology for improving and controlling the quality of produced goods. His robust optimization technique is widely used in the field of quality improvement and experimental design. Taguchi's approach aims to improve the quality of products and processes by minimizing variation and reducing the sensitivity of a system to various factors. The statistical approach for quality is valid for the various areas of engineering such as product design and development, life-sciences, and management fields (basically advertising and market

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Marakini, Vikas, Srinivasa P. Pai, Uday K. Bhat, Dinesh Thakur Singh, and Bhaskar P. Achar. "High Speed Machining for Enhancing the AZ91 Magnesium Alloy Surface Characteristics Influence and Optimisation of Machining Parameters." Defence Science Journal 72, no. 1 (2022): 105–13. http://dx.doi.org/10.14429/dsj.72.17049.

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In this study, optimum machining parameters are evaluated for enhancing the surface roughness and hardness of AZ91 alloy using Taguchi design of experiments with Grey Relational Analysis. Dry face milling is performed using cutting conditions determined using Taguchi L9 design and Grey Relational Analysis has been used for the optimization of multiple objectives. Taguchi’s signal-to-noise ratio analysis is also performed individually for both characteristics and grey relational grade to identify the most influential machining parameter affecting them. Further, Analysis of Variance is carried t

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Vohra, Nilesh M. "Optimization of Cutting Parameter in Edm Using Taguchi Method." International Journal of Scientific Research 2, no. 1 (2012): 90–95. http://dx.doi.org/10.15373/22778179/jan2013/32.

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Nguyen, Vi, Faisal Altarazi, and Thanh Tran. "Optimization of Process Parameters for Laser Cutting Process of Stainless Steel 304: A Comparative Analysis and Estimation with Taguchi Method and Response Surface Methodology." Mathematical Problems in Engineering 2022 (May 21, 2022): 1–14. http://dx.doi.org/10.1155/2022/6677586.

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The research presents an analysis and comparison of the Taguchi Design and Response Surface Methodology (RSM) in optimizing the laser cutting machine parameters on dimension accuracy for stainless steel products. The paper studies effects of input factors such as cutting speed, nitrogen pressure, power, and frequency on the quality cutting of stainless steel (304) specimens. In this paper, two objectives are examined: targeting laser-cut edge to perpendicular 90 degrees and maximizing the cutting accuracy. The paper proposes a simple formula to optimize both targets by minimizing one new funct

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Otto, K. N., and E. K. Antonsson. "Extensions to the Taguchi Method of Product Design." Journal of Mechanical Design 115, no. 1 (1993): 5–13. http://dx.doi.org/10.1115/1.2919325.

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The Taguchi method of product design is an experimental approximation to minimizing the expected value of target variance for certain classes of problems. Taguchi’s method is extended to designs which involve variables each of which has a range of values all of which must be satisfied (necessity), and designs which involve variables each of which has a range of values any of which might be used (possibility). Tuning parameters, as a part of the design process, are also demonstrated within Taguchi’s method. The method is also extended to solve design problems with constraints, invoking the meth

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Van, Duc-Nguyen, Bong-Pham Van, and Phan-Nguyen Huu. "Application of Deng’s similarity-based analytic hierarchy process approach in parametric optimization of the electrical discharge machining process of SDK11 die steel." Transactions of the Canadian Society for Mechanical Engineering 44, no. 2 (2020): 294–310. http://dx.doi.org/10.1139/tcsme-2019-0132.

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This study presents a hybrid Taguchi – analytic hierarchy process (AHP) – Deng’s similarity-based method for the multi-objective optimization of the electrical discharge machining process of SKD11. Among many parameters, the four most important parameters including current, voltage, pulse-on time, and pulse-off time are considered as control factors. The four quality characteristics including material removal rate, tool wear rate, surface roughness, hardness of machined surface, and white layer thickness were considered for simultaneous optimization. The hybrid Taguchi – AHP – Deng’s similarit

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Zhu, Cong Rong, Ju Long Yuan, Bing Hai Lv, and Zhao Zhong Zhou. "Application of Taguchi Method for Optimization of Finishing Conditions in SUS440 Stainless Steel Substrate." Advanced Materials Research 24-25 (September 2007): 77–82. http://dx.doi.org/10.4028/www.scientific.net/amr.24-25.77.

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This paper focuses on the application of Taguchi method for optimization of SUS440 stainless steel polishing process parameters to obtain the best finish. An optimization experiment for polishing stainless steel with SiO2 was designed by Taguchi method. Surface roughness Ra is considered as criteria for optimization. Influence of parameters involving load, speed, and slurry concentration for a given workmaterial with given abrasive (material and size) are discussed, and the optimum polishing conditions are figured out. Compared with single parameter experimental results, it illustrates that th

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K., Shunmugesh, and Panneerselvam Kavan. "Investigation and optimization of machining parameters in drilling of carbon fiber reinforced polymer (CFRP) composites." Pigment & Resin Technology 46, no. 1 (2017): 21–30. http://dx.doi.org/10.1108/prt-03-2016-0029.

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Purpose This paper aims to attempt to use grey relational analysis (GRA) coupled with Taguchi technique for the optimization of machining parameters (cutting speed, feed rate and drill bit type) with multiple performance characteristics of delamination factor, surface roughness and circularity in drilling of carbon fiber-reinforced polymer (CFRP) along the fiber direction. Design/methodology/approach Machining trials involved drilling of 6-mm diameter holes on 8-mm-thick CFRP plates was performed according to L27 (313) Taguchi’s orthogonal array technique using the drill material of high speed

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Lin, Chih-Hong. "Altered Grey Wolf Optimization and Taguchi Method with FEA for Six-Phase Copper Squirrel Cage Rotor Induction Motor Design." Energies 13, no. 9 (2020): 2282. http://dx.doi.org/10.3390/en13092282.

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This paper presents an altered grey wolf optimization, the Taguchi method, and finite element analysis (FEA) with two-phase multi-objective optimization for the design of a six-phase copper squirrel cage rotor induction motor (SCSCRIM). The multi-objective optimization design with high-performance property aims to achieve lower starting current, lower losses, lower input power, higher efficiency, higher output torque, and higher power factor. The multi-objective optimization design with high-performance property using the altered grey wolf optimization, the Taguchi method, and FEA in the first

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Gothwal, Pushpa, Ajay Kumar, and Rishi Dewanagan. "Taguchi Analysis of Walking Pathway for Power Optimization." E3S Web of Conferences 399 (2023): 04004. http://dx.doi.org/10.1051/e3sconf/202339904004.

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The optimization of power for sustainable resources become very crucial factor now a days due to increase the demand of energy. This paper presents the PZT tile power optimization with respect to subject weight and sensor quantity and mechanical and electrical characteristic of sensor. The most efficient combination of components and levels is thus predicted, and the results are analysed using ANOVA and Taguchi’s statistical optimization technique. The analysis predicts that the PZT Tile produced more output for the rigidity 44.97%, subject weight 30.09%, frequency contribution 12.39%, and sen

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Jerbi, Abdessalem, Achraf Ammar, Mohamed Krid, and Bashir Salah. "Performance optimization of a flexible manufacturing system using simulation: the Taguchi method versus OptQuest." SIMULATION 95, no. 11 (2019): 1085–96. http://dx.doi.org/10.1177/0037549718819804.

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The Taguchi method is widely used in the field of manufacturing systems performance simulation and improvement. On the other hand, Arena/OptQuest is one of the most efficient contemporary simulation/optimization software tools. The objective of this paper is to evaluate and compare these two tools applied to a flexible manufacturing system performance optimization context, based on simulation. The principal purpose of this comparison is to determine their performances based on the quality of the obtained results and the gain in the simulation effort. The results of the comparison, applied to a

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Padhi, P. C., S. S. Mahapatra, S. N. Yadav, and D. K. Tripathy. "Optimization of Correlated Quality Characteristics in WEDM Process using Taguchi Approach Coupled with Principal Component Analysis." Journal for Manufacturing Science & Production 13, no. 3 (2013): 199–208. http://dx.doi.org/10.1515/jmsp-2013-0011.

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AbstractIn the present work, an attempt has been made to solve the correlated multi-response optimization problem of wire electrical discharge machining (WEDM) of EN-31 steel. The experimental investigation have been carried out to evaluate the best process environment which could simultaneously satisfy multiple quality characteristics such as material removal rate (MRR), surface roughness (Ra) and dimensional deviation (DD). In view of the fact that traditional Taguchi method cannot solve a multi response optimization problem, weighted principal component analysis (WPCA) has been coupled with

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Fagbolagun, I. O., and S. A. Oke. "The Optimization of Packaging System Process Parameters Using Taguchi Method." International Journal of Industrial Engineering and Engineering Management 2, no. 1 (2020): 1–14. http://dx.doi.org/10.24002/ijieem.v2i1.3694.

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Packaging systems constitute substantially to product cost, its safety, and optimization. Unfortunately, no previous optimization studies have examined the packaging system in a bottling process plant for the unique, developing country environment. Consequently, the Taguchi method is applied to optimize a process plant's packaging system in a Nigerian plant's real-life situation. Optimal combinations of packaging system parameters that minimize product waste are created. An L4 (23) Taguchi orthogonal array was selected to analyze the data, and signal-to-noise ratios were computed for each expe

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Ng, Chuan Huat, and Mohd Khairulamzari Hamjah. "Welding Parameter Optimization of Surface Quality by Taguchi Method." Applied Mechanics and Materials 660 (October 2014): 109–13. http://dx.doi.org/10.4028/www.scientific.net/amm.660.109.

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An experimental study of GTAW was conducted to determine the optimization of weld parameters on the droplet formation in the surface quality of weld pools. These optimization investigations consisted of welding current, welding speed and feed rate. The strength and surface quality of weld pool were measured for each specimen after the welding parameter optimizations and the effect of these parameters on droplet formation were researched. To consider these quality characteristics together in the selection of welding parameters, the Orthogonal Array of Taguchi method is adopted to analyze the ef

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Lv, Bing Hai, Zhe Wu, Ju Long Yuan, Qian Fa Deng, and Ping Zhao. "Parameters Optimization on the Lapping Process with Porous Self-Generation Superabrasive Tool by Applying Taguchi Method." Advanced Materials Research 565 (September 2012): 267–72. http://dx.doi.org/10.4028/www.scientific.net/amr.565.267.

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Porous self-generation superabrasive tool (PSST) is a newly developed metal bonded superabrasive tool. It is found that processing parameters have great influence on the machining quality when using PSST. This paper focuses on the application of Taguchi method for optimization of lapping process parameters when using PSST to obtain the best surface quality. An optimization experiment for lapping optical glass with PSST was designed by Taguchi method. Surface roughness Ra is considered as criteria for optimization. Influence of parameters involving filler concentration in binder, lapping load,

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Andriushchenko, Ekaterina, Ants Kallaste, Anouar Belahcen, et al. "Optimization of a 3D-Printed Permanent Magnet Coupling Using Genetic Algorithm and Taguchi Method." Electronics 10, no. 4 (2021): 494. http://dx.doi.org/10.3390/electronics10040494.

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In recent decades, the genetic algorithm (GA) has been extensively used in the design optimization of electromagnetic devices. Despite the great merits possessed by the GA, its processing procedure is highly time-consuming. On the contrary, the widely applied Taguchi optimization method is faster with comparable effectiveness in certain optimization problems. This study explores the abilities of both methods within the optimization of a permanent magnet coupling, where the optimization objectives are the minimization of coupling volume and maximization of transmitted torque. The optimal geomet

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Sun, Chuanhui, and Yufa Xu. "Multiobjective Optimization Design of a Brushless Excitation Synchronous Motor Based on the Taguchi Method." Journal of Physics: Conference Series 2644, no. 1 (2023): 012001. http://dx.doi.org/10.1088/1742-6596/2644/1/012001.

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Abstract Considering the issue of significant total harmonic distortion in the no-load back electromotive force (EMF) and torque ripple of a brushless excitation synchronous motor (BESM) used in a compressor, a multiobjective optimization design method of a BESM based on the Taguchi method was proposed. By selecting the polar arc coefficient, stator slot width, damping winding pitch, and air gap length as the optimization parameters, the maximum no-load back EMF, minimum back EMF total harmonic distortion rate, and minimum torque ripple are selected as the optimization objectives. Then, the Ta

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Madki, Santosh Jaykumar, and Vishaldatt V. Kohir. "Optimization of Machining Characteristics in Turning Operation of LM2 -Al2O3 Metal Matrix Composite." Material Science Research India 20, no. 1 (2023): 75–84. http://dx.doi.org/10.13005/msri/200108.

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The optimization of machining parameters in the turning operation of metal matrix composite (MMC) is a crucial aspect in the manufacturing process. In this research work, Taguchi Method of optimization is used to optimize the cutting parameters, which include cutting speed, feed rate, and depth of cut. The experiments are carried out according to Taguchi L9 algorithm. The optimization is based on minimizing the surface roughness. The results show that the cutting speed has the most significant effect on the responses, followed by feed rate and depth of cut. It is observed a good agreement betw

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Kolhapure, Rakesh, Vasudev Shinde, and Vijay Kamble. "Optimization of Strain Gauge Transducer for Weighing Application Using GRA Method." Asian Journal of Engineering and Applied Technology 4, no. 2 (2015): 1–7. http://dx.doi.org/10.51983/ajeat-2015.4.2.2873.

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The main objective of current research is optimization of strain gauge transducer used in weighing application by maximizing sensitivity and minimizing volume. A simple model of strain gauge based ‘Double Ended Shear Beam’ transducer is considered for Finite Element Analysis (FEA). Taguchi method has been applied to construct an orthogonal array based on selected parameters. Next, multiobjective optimization is performed. As Taguchi method is unable to perform multi-objective optimization combined approach of Taguchi and Grey Relational Analysis (GRA) is carried out. This combined approach giv

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Panjabrao Raut, Mr Pritesh. "Optimization of Tool steel." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47693.

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Abstract Electro Discharge Machining (EDM) is a widely adopted non-traditional machining process used for shaping hard and electrically conductive materials, particularly tool steels. The present study focuses on optimizing the EDM process parameters for tool steel (D3) using a Grey-based Taguchi method to achieve improved machining performance. The primary objectives are to maximize the Material Removal Rate (MRR) while minimizing the surface roughness (Ra). Experiments were conducted on an ELECTRAPULS PS 35 EDM machine, utilizing copper electrodes with varying process parameters: voltage, cu

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Fayaz Ahmad Mir, Sheikh Shahid Ul Islam, Mohammad Irfan Hajam, and Lubaid Nisar. "Enhancing surface quality of en31 steel using Taguchi robust design." International Journal of Engineering & Technology 12, no. 2 (2023): 102–8. http://dx.doi.org/10.14419/ijet.v12i2.32423.

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This study employs Taguchi's robust design and regression to investigate how milling process parameters affect EN31 steel machin-ability. Three parameters—cutting speed, feed per tooth, and depth of cut—underwent nine experiments using Taguchi's L9 or-thogonal plan on a CNC milling center. Optimal settings were determined through mean analysis (ANOM), while analysis of vari-ance (ANOVA) with 95% confidence assessed parameter impact on surface roughness. Notably, feed per tooth displayed substantial influence (75.351%) on surface roughness. Regression analysis effectively aligned predictions wi

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Kheder, Ramzi, Ridha Ghayoula, Amor Smida, et al. "Enhancing Beamforming Efficiency Utilizing Taguchi Optimization and Neural Network Acceleration." Telecom 5, no. 2 (2024): 451–75. http://dx.doi.org/10.3390/telecom5020023.

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This article presents an innovative method for efficiently synthesizing radiation patterns by combining the Taguchi method and neural networks, validating the results on a ten-element antenna array. The Taguchi method aims to minimize product and process variability, while neural networks are used to model the relationship between antenna design parameters and radiation pattern characteristics. This approach utilizes Taguchi parameters as inputs for the neural network, which is then trained on a dataset generated by the Taguchi method. After training, the network is validated using a real ten-

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Verma, Manish, and Ritu Shrivastava. "Multi Objective Optimization of Near-Dry EDM using MOORA-PCA based Taguchi Optimization Method." International Journal of Trend in Scientific Research and Development Volume-2, Issue-4 (2018): 2534–39. http://dx.doi.org/10.31142/ijtsrd15647.

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Furugi, Ahad, and Fatih Yapici. "Optimization of Production Parameters in Oriented Strand Board (OSB) Manufacturing by Using Taguchi Method." Drvna industrija 72, no. 4 (2021): 347–52. http://dx.doi.org/10.5552/drvind.2021.2033.

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Optimization of process conditions in oriented strand board (OSB) manufacturing is a very important issue for both reducing cost and improving the quality of panels. Taguchi experimental design technique was applied to determination and optimization of the most influential controlling parameters of OSB panels such as press condition (pressure-time-temperature) and the ratio of adhesive parameters on modulus of elasticity (MOE). The value of the MOE is one of the very important mechanical properties of OSB panels. For this purpose, several experiments were conducted according to Taguchi L27 ort

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Taiwo, Emmanuel Oluwatobi, and Sunday Ayoola Oke. "Optimizing to Minimize Thrust Force in Drilling Carbon Fiber Reinforced Plastic Composites with HSS Drill Bit Using Taguchi-Pareto Particle Swarm Optimization Method." International Journal of Industrial Engineering and Engineering Management 4, no. 1 (2022): 37–48. http://dx.doi.org/10.24002/ijieem.v4i1.5081.

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In this study, a robust method of Taguchi-Pareto (TP) coupled with particle swarm optimization (PSO) is proposed to minimize the thrust force in the drilling of carbon fiber reinforced plastic composites. Taguchi-Pareto is used against Taguchi (T) to emphasize the prioritization scheme essential for deploying the resources to parameters. Besides, and differently from earlier studies, particle swarm optimization is integrated with the Taguchi-Pareto to optimize the structure further. A further result is placed in the fitness function of the PSO to cultivate the velocity and position vectors. In

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Hussain, Md Ashfaq, K. K. Prasad, Anil S. Jadhav, and Gangadhar Biradar. "Parametric Optimization of CNC End Milling Process on Aluminium 6063 Alloy Using Grey Based Taguchi Method." Applied Mechanics and Materials 867 (July 2017): 148–56. http://dx.doi.org/10.4028/www.scientific.net/amm.867.148.

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This investigation focused on the multi-response optimization of CNC end milling of Aluminium 6063 Alloy material using Grey relational analysis and Taguchi method. Experiments were designed based on L9 Taguchi Orthogonal array, to arrive at an optimum parameter combination within the experimental domain. The spindle speed (S), feed rate (f) and depth of cut (d) which are known to have considerable effect on the selected responses i.e. surface roughness (Ra) and Material removal rate (MRR) and are considered as control parameters. The single objective optimization using Taguchi method more oft

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Radovanović, Miroslav, Laurentiu Slatineanu, Predrag Janković, Dušan Petković, and Miloš Madić. "Taguchi Approach for the Optimization of Cutting Parameters in Finish Turning of Medical Stainless Steel." Applied Mechanics and Materials 809-810 (November 2015): 153–58. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.153.

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Optimization of cutting parameters in finish turning of medical stainless steel 316LVM with coated carbide tools using Taguchi method is proposed in this paper. Four cutting parameters namely, insert radius, depth of cut, feed and cutting speed are optimized with considerations of surface roughness as performance characteristic. The effects of cutting parameters on the surface roughness were experimentally investigated. Experimentation was conducted as per Taguchi's orthogonal array. Four cutting parameters with three levels are arranged in L27 orthogonal array. The orthogonal array, measured

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Kou, Yalin, Ying Gao, Yuelin You, and Yurang Wang. "Numerical investigation for optimization of spark-ignition internal combustion engine knock by Taguchi-Grey method." Science Progress 105, no. 4 (2022): 003685042211292. http://dx.doi.org/10.1177/00368504221129280.

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This article carried out a numerical investigation of knock, using the Taguchi method and the grey relational analysis method to determine the importance and the contribution rate of multiple parameters on the peak pressure in the cylinder and the knock tendency under heavy load conditions. Four parameters, namely, compression ratio, spark timing, EGR rate, and inlet temperature, were set at four levels. The simulation was designed using a design of experiment method based on Taguchi's L16 orthogonal array. The simulation results of knock tendency and peak in-cylinder pressure were analyzed by

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