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Artykuły w czasopismach na temat „Lightweight optimization methodology”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Cosco, Francesco, Rocco Adduci, Leonardo Muzzi, Ali Rezayat, and Domenico Mundo. "Multiobjective Design Optimization of Lightweight Gears." Machines 10, no. 9 (2022): 779. http://dx.doi.org/10.3390/machines10090779.

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Lightweight gears have the potential to substantially contribute to the green economy demands. However, gear lightweighting is a challenging problem where various factors, such as the definition of the optimization problem and the parameterization of the design space, must be handled to achieve design targets and meet performance criteria. Recent advances in FE-based contact analysis have demonstrated that using hybrid FE–analytical gear contact models can offer a good compromise between computational costs and predictive accuracy. This paper exploits these enabling methodologies in a fully au

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Cheng, Liang, Hai-Bin Lin, and Yu-Liang Zhang. "Optimization design and analysis of mobile pump truck frame using response surface methodology." PLOS ONE 18, no. 8 (2023): e0290348. http://dx.doi.org/10.1371/journal.pone.0290348.

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In order to realize the lightweight design of mobile pump truck, this paper takes the frame of a certain type of mobile pump truck as the research object. The response surface method is used to carry out lightweight design of the longitudinal beam structure of the frame, and the finite element method is used to establish the finite element model to compare and analyze the optimized and original designs. The results show that the height, width and thickness of the optimized longitudinal beam section are reduced by 10mm, 11mm, and 0.8mm respectively, and the weight of the whole frame is reduced

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Wang, Meng, Dan Hu, Jiayu Zhao, Borui Gong, Chengye Hao, and Wenqi Lin. "Lightweight design of cannon frame considering dimension and topology coupling." Journal of Physics: Conference Series 2891, no. 9 (2024): 092024. https://doi.org/10.1088/1742-6596/2891/9/092024.

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Abstract The cannon frame is a primary load-bearing component of the firepower system, and lightweight design plays an important role improving the artillery’s manoeuvrability. However, the present lightweight design methods don’t consider the interdependency between dimension and topology, hindering the cannon frame from achieving the ideal stiffness to mass ratio. To tackle this issue, a novel lightweight design methodology considering dimension and topology coupling is proposed. By means of orthogonal experiment and topology optimization, various topologies of cannon frame with distinct dim

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Xiao, Zefeng, Yongqiang Yang, Di Wang, Changhui Song, and Yuchao Bai. "Structural optimization design for antenna bracket manufactured by selective laser melting." Rapid Prototyping Journal 24, no. 3 (2018): 539–47. http://dx.doi.org/10.1108/rpj-05-2017-0084.

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Purpose This paper aims to summarize design rules based on the process characteristics of selective laser melting (SLM) and structural optimization and apply the design rules in the lightweight design of an aluminum alloy antenna bracket. The design goal is to reduce 30 per cent of the weight while maintaining the stress levels in the original part. Design/methodology/approach To reduce weight as much as possible, the titanium alloy with higher specific strength was selected during the process of optimization. The material distribution of the bracket was improved by the topology optimization d

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Yu, Xiujuan, Xiaoping Pang, Zhihong Zou, et al. "Lightweight and High-Strength Design of an Excavator Bucket under Uncertain Loading." Mathematical Problems in Engineering 2019 (October 7, 2019): 1–12. http://dx.doi.org/10.1155/2019/3190819.

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This paper presents a methodology for lightweight and high-strength design of an excavator bucket under uncertain loading. Uncertain loads are obtained by using the Monte Carlo simulation based on the existing soil-bucket interaction model in which the soil parameters are variable. And the well-known 3-sigma methodology is used for the quantification of the uncertain loads. Excavator bucket modelling is finished by using ANSYS Parameter Design Language (APDL). A multiobjective optimization model aiming to decrease the maximum von Mises stress and to reduce the weight of the bucket is establish

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Lkadi, Omar, Mohammed Nassraoui, and Otmane Bouksour. "Optimization of Lightweight Components through Hybrid Topology Optimization and Generative Design in Additive Manufacturing." Key Engineering Materials 1018 (June 23, 2025): 67–76. https://doi.org/10.4028/p-jwor8x.

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Generative design (GD) and topology optimization (TO) are two advanced methods that make it possible to design lightweight and high-performance structures for industrial and mechanical needs. This study offers an approach that combines generative design and topology optimization to reach the best possible balance of material efficiency and manufacturability in complex components. By utilizing GD's capacity to provide several design options within predetermined parameters and TO's material distribution methodology, the suggested approach minimizes weight while maximizing structural integrity. T

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Pusztai, Zoltán, Péter Kőrös, Ferenc Szauter, and Ferenc Friedler. "Vehicle Model-Based Driving Strategy Optimization for Lightweight Vehicle." Energies 15, no. 10 (2022): 3631. http://dx.doi.org/10.3390/en15103631.

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In this paper, driving strategy optimization for a track is proposed for an energy efficient battery electric vehicle dedicated to the Shell Eco-marathon. A measurement-based mathematical vehicle model was developed to simulate the behavior of the vehicle. The model contains complicated elements such as the vehicle’s cornering resistance and the efficiency field of the entire powertrain. The validation of the model was presented by using the collected telemetry data from the 2019 Shell Eco-marathon competition in London (UK). The evaluation of applicable powertrains was carried out before the

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Qiao, He Ting, Shi Jie Wang, and Xiao Ren Lv. "Concurrent Topology Optimization of Lightweight Cellular Materials and Structures." Applied Mechanics and Materials 868 (July 2017): 291–96. http://dx.doi.org/10.4028/www.scientific.net/amm.868.291.

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In this paper, a two-stage optimization algorithm is proposed to simultaneously achieve the optimum structure and microstructure of lightweight cellular materials. Microstructure is assumed being uniform in macro-scale to meet manufacturing requirements. Furthermore, to reduce the computation cost, the design process is divided into two stages, which are concurrent design and material design. In the first stage, macro density and modulus matrix of cellular material are used both as design variables. Then, the optimum topology of macro-structure and modulus matrix of cellular materials will be

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Adeluyi, Olufemi, Miguel A. Risco-Castillo, María Liz Crespo, Andres Cicuttin, and Jeong-A. Lee. "A Computerized Bioinspired Methodology for Lightweight and Reliable Neural Telemetry." Sensors 20, no. 22 (2020): 6461. http://dx.doi.org/10.3390/s20226461.

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Personalized health monitoring of neural signals usually results in a very large dataset, the processing and transmission of which require considerable energy, storage, and processing time. We present bioinspired electroceptive compressive sensing (BeCoS) as an approach for minimizing these penalties. It is a lightweight and reliable approach for the compression and transmission of neural signals inspired by active electroceptive sensing used by weakly electric fish. It uses a signature signal and a sensed pseudo-sparse differential signal to transmit and reconstruct the signals remotely. We h

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HepaȦ, Mohammed Mehimed Omar. "Design and Optimization of Lightweight and HSD Excavator Bucket with Uncertain Load." International Journal of Current Engineering and Technology 11, no. 02 (2021): 222–26. http://dx.doi.org/10.14741/ijcet/v.11.2.13.

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Excavators are used primarily to excavate below the natural surface of the ground on which the machine rests and load it into trucks or tractor. Due to severe working conditions, excavator parts are subjected to high loads. The excavator mechanism must work reliably under unpredictable working conditions. Thus, it is very much necessary for the designers to provide not only a equipment of maximum reliability but also of minimum weight and cost, keeping design. safe under all loading conditions weight and cost, keeping design safe under all loading conditions. It can be concluded that, force an

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11

Munir, Arslan, Ann Gordon-Ross, Susan Lysecky, and Roman Lysecky. "A lightweight dynamic optimization methodology and application metrics estimation model for wireless sensor networks." Sustainable Computing: Informatics and Systems 3, no. 2 (2013): 94–108. http://dx.doi.org/10.1016/j.suscom.2013.01.003.

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Ju, Su, R. A. Shenoi, Dazhi Jiang, and A. J. Sobey. "Multi-parameter optimization of lightweight composite triangular truss structure based on response surface methodology." Composite Structures 97 (March 2013): 107–16. http://dx.doi.org/10.1016/j.compstruct.2012.10.025.

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Quinteros, Leonel, Viviana Meruane, Eduardo Lenz Cardoso, and Rafael O. Ruiz. "Phononic Bandgap Optimization in Sandwich Panels Using Cellular Truss Cores." Materials 14, no. 18 (2021): 5236. http://dx.doi.org/10.3390/ma14185236.

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The development of custom cellular materials has been driven by recent advances in additive manufacturing and structural topological optimization. These contemporary materials with complex topologies have better structural efficiency than traditional materials. Particularly, truss-like cellular structures exhibit considerable potential for application in lightweight structures owing to their excellent strength-to-mass ratio. Along with being light, these materials can exhibit unprecedented vibration properties, such as the phononic bandgap, which prohibits the propagation of mechanical waves o

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14

dos Santos, Rogério R., and Saullo G. P. Castro. "Lightweight Design of Variable-Stiffness Cylinders with Reduced Imperfection Sensitivity Enabled by Continuous Tow Shearing and Machine Learning." Materials 15, no. 12 (2022): 4117. http://dx.doi.org/10.3390/ma15124117.

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The present study investigates how to apply continuous tow shearing (CTS) in a manufacturable design parameterization to obtain reduced imperfection sensitivity in lightweight, cylindrical shell designs. The asymptotic nonlinear method developed by Koiter is applied to predict the post-buckled stiffness, whose index is constrained to be positive in the optimal design, together with a minimum design load. The performance of three machine learning methods, namely, Support Vector Machine, Kriging, and Random Forest, are compared as drivers to the optimization towards lightweight designs. The new

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15

Barrera-Vargas, Christian A., Javier Naranjo-Pérez, Iván M. Díaz, and Jaime H. García-Palacios. "Design of a Semiactive TMD for Lightweight Pedestrian Structures Considering Human–Structure–Actuator Interaction." Actuators 11, no. 4 (2022): 101. http://dx.doi.org/10.3390/act11040101.

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Lightweight pedestrian structures constructed with high strength-to-weight ratio materials, such as fiber-reinforced polymers (FRP), may experience large accelerations due to their lightness, thus overcoming the serviceability limit state. Additionally, uncertainties associated with human–structure interaction phenomena become relevant. Under these circumstances, variations in pedestrian actions could modify the modal properties of the coupled human–structure system and classical approaches based on passive Tuned Mass Dampers (TMD) do not offer an effective solution. An alternative solution is

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16

A., K. Madan, and Saxena Srashti. "The Merger of Topology Optimisation in Additive Manufacturing." International Journal of Research in Aeronautical and Mechanical Engineering 9, no. 10 (2021): 11–22. https://doi.org/10.5281/zenodo.5602806.

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Topology optimization has become a subject of study unto itself in recent years, not only because it provokes the intellectual community's curiosity, but also because it provides significant responses to real-life industrial difficulties. Topology optimization is being used to create a lightweight product while still meeting its functional criteria for a new product or a redesign of an existing product. Additive Manufacturing is defined as the layer-by-layer production of geometrically demanding components, which significantly minimises the complexity restrictions imposed on topology optim

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Molavitabrizi, Danial, and Jeremy Laliberte. "Methodology for multiscale design and optimization of lattice core sandwich structures for lightweight hopper railcars." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, no. 21 (2020): 4224–38. http://dx.doi.org/10.1177/0954406220920694.

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This research is focused on developing new lightweight structures for railcars based on a pre-selected material, i.e. Al 2099. The goal is to design a new sandwich structure with an octet truss lattice core for a floor panel of a hopper freight railcar designed to meet North American standards. For that, mesoscale to macroscale design of the sandwich panel was performed. In mesoscale design, relative density, elastic properties, strength properties, and failure criterion of the lattice unit cell were investigated. In the next step, these properties were used as inputs for macroscale design, i.

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18

Edelev, Aleksei V., Natalya M. Beresneva, and Roman O. Kostromin. "A methodology for selecting algorithms for optimizing the resilience of energy infrastructures." Analysis and data processing systems, no. 4 (December 24, 2023): 97–129. http://dx.doi.org/10.17212/2782-2001-2023-4-97-129.

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The article considers one of the most difficult tasks of studying the resilience of energy infrastructures – finding effective combinations of measures to increase resilience. To solve this problem, the article describes an approach that considers it as a problem of structural-parametric optimization of energy infrastructures, which is built according to a two- or three-level scheme. The approach described in the article adds another layer to the middle of the above scheme, which checks the efficiency of the selected equipment under extreme conditions created by a given set of large disturbanc

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19

Kaal, William, Jörg Baumgartner, Maximilian Budnik, and Christoph Tamm. "Numerical Approach to Optimize the Dynamic Behaviour of Structures Considering Structural Durability." Vibration 6, no. 3 (2023): 477–93. http://dx.doi.org/10.3390/vibration6030030.

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In the design of lightweight structures, both the dynamics and durability must be taken into account. In this paper, a methodology for the combined optimization of structural dynamics, lightweight design, and lifetime with discrete vibration engineering measures is developed and discussed using a demonstration structure. A two-sided welded bending beam is excited at the centre and optimal parameters for tuned mass dampers (TMD) are searched, satisfying the requirements for the dynamic behaviour, the overall mass, and the lifetime of the weldings. It is shown that the combination of a reduced o

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20

Hassan, Ali Abdelhafeez, and Bikram Biswas. "Topology Optimization of an Automotive Seatbelt Bracket Considering Fatigue." Designs 8, no. 5 (2024): 99. http://dx.doi.org/10.3390/designs8050099.

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Technological progress is leading to the incorporation of digital twinning and artificial intelligence, causing engineering design and scientific procedures to transition into an AI-driven age. Digital twinning and modeling have been increasingly included into engineering design optimization, particularly via processes like topology optimization and generative design, to provide modern design solutions efficiently. The integration of topology optimization with additive manufacturing is revolutionizing the design optimization process in the automotive industry, where there is a pressing demand

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Qian, Zhijie, Dongcheng Zhou, Zhaohuan Xu, Rongcheng Hu, and Kaiyun Yu. "Optimization of auger drill design based on response surface methodology and screening techniques." Journal of Physics: Conference Series 2951, no. 1 (2025): 012020. https://doi.org/10.1088/1742-6596/2951/1/012020.

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Abstract This paper presents a novel optimization design approach for auger drill bits, integrating Response Surface Methodology (RSM) and Screening Techniques. This combined approach not only enhances the geometric parameters and material properties but also improves drilling efficiency and wear resistance significantly over traditional design approaches. The goal is to improve the drill bit’s geometric parameters and material properties to enhance drilling efficiency, wear resistance, and processing accuracy. The study begins by defining the boundary conditions for the auger drill bit and co

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Pusztai, Zoltán, Péter Kőrös, Ferenc Szauter, and Ferenc Friedler. "Implementation of Optimized Regenerative Braking in Energy Efficient Driving Strategies." Energies 16, no. 6 (2023): 2682. http://dx.doi.org/10.3390/en16062682.

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In this paper, determination of optimized regenerative braking-torque function and application in energy efficient driving strategies is presented. The study investigates a lightweight electric vehicle developed for the Shell Eco-Marathon. The measurement-based simulation model was implemented in the MATLAB/Simulink environment and used to establish the optimization. The optimization of braking-torque function was performed to maximize the recuperated energy. The determined braking-torque function was applied in a driving strategy optimization framework. The extended driving strategy optimizat

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Sharma, Manoj Kumar, M. Shamim Kaiser, and Kanad Ray. "Deep convolutional neural network framework with multi-modal fusion for Alzheimer’s detection." International Journal of Reconfigurable and Embedded Systems (IJRES) 13, no. 1 (2024): 179. http://dx.doi.org/10.11591/ijres.v13.i1.pp179-191.

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The biomedical profession has gained importance due to the rapid and accurate diagnosis of clinical patients using computer-aided diagnosis (CAD) tools. The diagnosis and treatment of Alzheimer’s disease (AD) using complementary multimodalities can improve the quality of life and mental state of patients. In this study, we integrated a lightweight custom convolutional neural network (CNN) model and nature-inspired optimization techniques to enhance the performance, robustness, and stability of progress detection in AD. A multi-modal fusion database approach was implemented, including positron

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Renedo, Carlos M. C., Iván M. Díaz, Jaime H. García-Palacios, and Christian Gallegos-Calderón. "Structural Optimization of Lightweight Composite Floors with Integrated Constrained Layer Damping for Vibration Control." Actuators 12, no. 7 (2023): 288. http://dx.doi.org/10.3390/act12070288.

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Due to current architectural trends, contemporary public buildings are becoming open-plan spaces with much less weight and damping. Consequently, Vibration Serviceability Limit State (VSLS) due to human-induced vibrations has become an increasing concern for structural engineers, especially when designing offices, hospitals, or gymnasiums. When dealing with resonant vibrations, a slight increase in the floor-damping enables decreasing considerably the vibration level. The damping strategy studied in this work is usually known in the literature as Constrained Layer Damping (CLD) and consists of

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Müller, Marc, Heidi Cramer, and Thomas Bschorr. "Optimization of the Electrode Processing Methodology for Resistance Spot Welding of Aluminium." Advanced Materials Research 814 (September 2013): 147–58. http://dx.doi.org/10.4028/www.scientific.net/amr.814.147.

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Lightweight construction materials such as aluminium are being increasingly utilised in new vehicle concepts, with the objective of reducing the CO2 emissions by saving weight. At the same time, the components should, however, be fabricated at favourable cost and with a high quality. In many applications the mechanical joining (clinching, riveting) is applied with great success. Mechanical welded joints show great potential and are especially preferred used for mixed or hybrid joints. In comparison to steel, the resistance spot welding of aluminium have a lower electrode life. Thats an importa

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García-Dominguez, Amabel, Juan Claver, and Miguel A. Sebastián. "Integration of Additive Manufacturing, Parametric Design, and Optimization of Parts Obtained by Fused Deposition Modeling (FDM). A Methodological Approach." Polymers 12, no. 9 (2020): 1993. http://dx.doi.org/10.3390/polym12091993.

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The use of current computer tools in both manufacturing and design stages breaks with the traditional conception of productive process, including successive stages of projection, representation, and manufacturing. Designs can be programmed as problems to be solved by using computational tools based on complex algorithms to optimize and produce more effective solutions. Additive manufacturing technologies enhance these possibilities by providing great geometric freedom to the materialization phase. This work presents a design methodology for the optimization of parts produced by additive manufa

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Hernandez, Leonel, and Carlos Eduardo Uc Rios. "Docker Optimization of an Automotive Sector Virtual Server Infrastructure." Knowledge Engineering and Data Science 7, no. 1 (2024): 71. http://dx.doi.org/10.17977/um018v7i12024p71-85.

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Server virtualization is a powerful strategy for optimizing network infrastructure. It allows multiple virtual servers to run on a single physical server, maximizing resource utilization and improving efficiency. Deploying server virtualization using Docker technology offers a lightweight and flexible approach to optimizing network infrastructure. Docker contains package applications and their dependencies, enabling consistent and efficient deployment across various environments. Specifically, optimizing virtual server infrastructure using Docker Technology in the automotive sector focuses on

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Ryan-Johnson, William Patrick, Larson Curtis Wolfe, Christopher Roder Byron, Jacquelyn Kay Nagel, and Hao Zhang. "A Systems Approach of Topology Optimization for Bioinspired Material Structures Design Using Additive Manufacturing." Sustainability 13, no. 14 (2021): 8013. http://dx.doi.org/10.3390/su13148013.

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Bioinspired design has been applied in sustainable design (e.g., lightweight structures) to learn from nature and support material structure functionalities. Natural structures usually require modification in practice because they were evolved in natural environmental conditions that can be different from industrial applications. Topology optimization is a method to find the optimal design solution by considering the material external physical environment. Therefore, integrating topology optimization into bioinspired design can benefit sustainable material structure designers in meeting the pu

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Hadi, Ahmed Adnan, and Seyed Vahab AL-Din Makki. "Improved MANET Routing Protocols Performance by Using Hybrid Cat and Particle Swarm Optimization (CPSO)." Webology 19, no. 1 (2022): 2182–95. http://dx.doi.org/10.14704/web/v19i1/web19148.

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The technology that used in communicating data and voice among certain mobile network nodes using wireless medium and radio spectrum transmission is called Mobile networking. Generally, Mobile refers to the intent, portable and lightweight devices that may be carried by their movie users. In this paper, we proposed a hybrid version of the swarm optimization model to improve the MANET routing protocols. The proposed optimization sets optimal parameters for the MANET networks. The proposed model combines between Particle Swarm Optimization (PSO) and Cat Swarm Optimization (CSO). The methodology

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Leontev, Aleksandr, Mikhail Aleshin, Oleg Klyavin, and Alexey Borovkov. "Optimal design of power frames for special purpose vehicles' cockpits with regard to their eigenfrequencies and shock resistance." MATEC Web of Conferences 148 (2018): 02003. http://dx.doi.org/10.1051/matecconf/201814802003.

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The paper is focused on development of a methodology for designing special purpose vehicles' cockpits minimizing vibration and impacts in the workspace. Finite elements method is utilized as the main tool in assessment of the structural design. The method also forms a foundation for further topology optimization, which allows for obtaining lightweight adaptable to production design fulfilling both vibration and impact requests, standards and regulations. The method has been used in designing experimental cockpit for a prospective tractor. Thus it is shown that the methodology being presented i

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TOPAÇ, Mehmet Murat, Merve KARACA, Birkan AKSOY, Uğur DERYAL, and Levent BİLAL. "Lightweight Design of a Rear Axle Connection Bracket for a Heavy Commercial Vehicle by Using Topology Optimisation: A Case Study." Mechanics 26, no. 1 (2020): 64–72. http://dx.doi.org/10.5755/j01.mech.26.1.23141.

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An important design challenge of modern vehicles is mass reduction. Hence in many cases, mechanical design of vehicle components covers different optimization processes. One important structural optimization technique which is highly utilised in weight reduction applications is the topology optimization. This paper contains a multi-stage optimization based on the topology and design optimizations. During this study, the mechanical design of a rear axle-chassis connection bracket is achieved. First of all, the design load of the bracket was determined through a multibody dynamics analysis. This

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Kaya, Mehmet, Zeynel Baran Yıldırım, Fuat Köksal, Ahmet Beycioğlu, and Izabela Kasprzyk. "Evaluation and Multi-Objective Optimization of Lightweight Mortars Parameters at Elevated Temperature via Box–Behnken Optimization Approach." Materials 14, no. 23 (2021): 7405. http://dx.doi.org/10.3390/ma14237405.

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In this research, the mechanical properties of lightweight mortars containing different percentages of additional powder materials has been investigated using response surface methodology (RSM). Box–Behnken design, one of the RSM techniques, was used to study the effects of silica fume content (5, 10, and 15%), vermiculite/cement (V/C) ratio (4, 6, and 8), and temperature (300, 600, and 900 °C) on the ultrasonic pulse velocity (UPV), bending strength, and compressive strength of lightweight mortars. Design expert statistical software was accustomed to determining and evaluating the mix-design

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Zhou, Jia, X. M. Wan, Y. Li, and Q. J. Zhao. "Optimal Design and Experimental Investigations of Aluminium Extrusion Profiles for Lightweight of Car Bumper." Key Engineering Materials 585 (December 2013): 157–64. http://dx.doi.org/10.4028/www.scientific.net/kem.585.157.

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The present study aimed at developing an aluminium car bumper unit to replace the steel ones by using optimization based on experimental and FEM simulation results. The topology optimization method and response surface methodology (RSM) were applied in order to achieve an optimized design for the cross section of the crossbeam and the crash box, respectively. The three-points bending test and crash test for bumper unit were simulated to evaluate the optimization processes. The 6061 and 6063 aluminium alloy bumper unit has a weight reduction of 67% compared to the steel ones. The new extrusion

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Qian, Rundong, Haiyu Qiao, Chenyi Ni, Yayun Liu, Chuanyang Wang, and Ning Jiang. "Innovative lightweight flexibility test platform for RV reducer with topology optimization and 3-D printing." Measurement Science and Technology 36, no. 2 (2025): 026006. https://doi.org/10.1088/1361-6501/ada3a0.

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Abstract The majority of existing mechanical devices are only capable of measuring a single parameter. They are constructed primarily from metal processing, resulting in a substantial weight, elevated manufacturing costs, and a fixed and inflexible accuracy and assembly methodology. Accordingly, this paper presents the design of a lightweight RV reducer test platform, which enhances the flexibility of high-precision measurement. The test platform employs topology optimization lightweight structure design and 3D printing technology. Static simulation is used to lightweight the structure and add

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Zou, Zhihong, Jin Chen, and Xiaoping Pang. "Lightweight and high-strength optimization design for a fully parametric working attachment of a hydraulic excavator based on limiting theoretical digging capability model." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 233, no. 14 (2019): 4819–35. http://dx.doi.org/10.1177/0954406219840671.

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This paper presents a methodology for the optimization design of a fully parametric working attachment of a hydraulic excavator with the weight reduction and maximum stress minimization as the design objectives. A novel 3D force output model named limiting theoretical digging capability model is proposed to completely and accurately calculate the maximum force and moment an excavator can apply in the preferred bucket force space. On the basis of this model, the joint forces acting on the working attachment are calculated. Further, the critical digging condition and design loads used for the st

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Jiang, Shuai, Yuanpeng Lin, Jianan Liu, Linjing Xiao, and Shuaishuai Zhang. "Dynamics Optimization Research and Dynamics Accuracy and Reliability Analysis of a Multi-Link Mechanism with Clearances." Machines 10, no. 8 (2022): 698. http://dx.doi.org/10.3390/machines10080698.

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With the development of high-speed and lightweight mechanisms, and the continuous improvement of manufacturing accuracy requirements in industrial production, clearance joints have increasingly become one of the key factors affecting dynamics performance. Poor clearance will seriously compromise stability, accuracy, and dynamics performance. Based on a genetic algorithm, an efficient modeling methodology for the dynamics optimization of a planar complex multi-link mechanism containing multiple clearance joints is put forward. The model comprises a 2-degree of freedom (DOF) nine-bar mechanism t

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Yuanyao, Miao, Li Dongbo, Liu Chunyan, Wang Yan, Liu Xiguang, and Wen Bo. "Multi-objective optimization of traditional residential timber frames based on response surface methodology." Journal of Computational Methods in Sciences and Engineering 24, no. 6 (2024): 3493–503. https://doi.org/10.1177/14727978241293251.

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Traditional residential timber frames, embodying centuries of Chinese craftsmanship, continue to thrive. In today’s era of increasingly scarce global resources, optimizing these timber frames not only preserves their legacy but also contributes to structural weight reduction, aligning with the goal of lightweight construction. To determine the optimal design dimensions for these frames, this study introduces a combined optimization approach using Response Surface Methodology (RSM) and Multi-Objective Genetic Algorithm (MOGA). Using the Optimal Space-Filling (OSF) method, sample points within t

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Yin, Jiu, Chuanbo Ming, Guangfu Zhang, Chang Chen, Qi Zeng, and Yuan Li. "Optimization of the Femtosecond Laser Machining Process for Single Crystal Diamond Using Response Surface Methodology." Machines 12, no. 9 (2024): 614. http://dx.doi.org/10.3390/machines12090614.

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Femtosecond laser machining offers high precision and minimal thermal impact, making it a promising technique for processing hard and brittle materials like single-crystal diamonds (SCDs). In this study, the femtosecond laser machining process for SCD material was systematically optimized to improve both machining efficiency and quality. Initial single-factor experiments were conducted to explore the effects of key process parameters—laser power, scanning speed, and number of scans—on machining performance. Subsequently, response surface methodology (RSM)-based experiments designed using the B

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39

Sathuluri, Akhil, Anand Vazhapilli Sureshbabu, Jintin Frank, Maximilian Amm, and Markus Zimmermann. "Computational Systems Design of Low-Cost Lightweight Robots." Robotics 12, no. 4 (2023): 91. http://dx.doi.org/10.3390/robotics12040091.

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With the increased demand for customisation, developing task-specific robots for industrial and personal applications has become essential. Collaborative robots are often preferred over conventional industrial robots in human-centred production environments. However, fixed architecture robots lack the ability to adapt to changing user demands, while modular, reconfigurable robots provide a quick and affordable alternative. Standardised robot modules often derive their characteristics from conventional industrial robots, making them expensive and bulky and potentially limiting their wider adopt

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Gutema, Endalkachew Mosisa, Mahesh Gopal, and Hirpa Gelgele Lemu. "Temperature Optimization by Using Response Surface Methodology and Desirability Analysis of Aluminium 6061." Materials 15, no. 17 (2022): 5892. http://dx.doi.org/10.3390/ma15175892.

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Because aluminium is a lightweight and low-density material, its alloys, such as Al 6061 alloy, are extensively used in numerous automobile, defense, and aviation components. This study aims to develop a predictive model to investigate the impact of tool nose radius on the CNC turning process of Al 6061 alloy and better recognize the implications of operating machining considering cutting speed, rate of feed, cutting depth, and tool nose radius. The trials were carried out by using the response surface methodology (RSM), with an Al2O3 coated carbide tool as the cutter and an Al 6061 workpiece

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Jia, Jiguang, Xuan Sun, Ting Liu, Jiazhi Tang, Jiabing Wang, and Xianxuan Hu. "Structural Optimization Design of Dual Robot Gripper Unloading Device Based on Intelligent Optimization Algorithms and Generative Design." Sensors 23, no. 19 (2023): 8298. http://dx.doi.org/10.3390/s23198298.

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The main aim of this paper is to explore new approaches to structural design and to solve the problem of lightweight design of structures involving multivariable and multi-objectives. An integrated optimization design methodology is proposed by combining intelligent optimization algorithms with generative design. Firstly, the meta-model is established to explore the relationship between design variables, quality, strain energy, and inherent energy. Then, employing the Non-dominated Sorting Genetic Algorithm III (NSGA-III), the optimal frameworks of the structure are sought within the entire de

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Abdellatif, A., M. El Asswad, Maya Sleiman, K. Khalil, and S. Alfayad. "Composite Hydraulic Integration: A New Step Toward Lightweight Hydraulic Robots." Malaysian Journal on Composites Science and Manufacturing 16, no. 1 (2025): 150–66. https://doi.org/10.37934/mjcsm.16.1.150166.

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Normally, the use of hydraulics in humanoid robots is limited due to their design complexity, heavy weight, and high cost. This paper presents a new methodology for developing hydraulic integrated robotics system with lightweight, high strength, shorter production time and lower cost. This is achieved by combining the additive manufacturing of thermoplastic polymers and the simple forming of strong random fiber composites. A new methodology for fabrication of complex hydraulic integrated parts is explained in detail. The robotic arm of the humanoid hydraulic robot HYDROïD is chosen for impleme

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Liu, Ying, Yi Ru, Feng Li, et al. "Structural Design and Optimization of Separated Air-Rib Tents Based on Response Surface Methodology." Applied Sciences 13, no. 1 (2022): 55. http://dx.doi.org/10.3390/app13010055.

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Air-rib tents are widely used because they are lightweight and site adaptable, but the large deformation of these tents reduces their effective space. It is important to reduce the displacement of the air-rib tent by parameter optimization. The influences of external factors on the tent are studied in this paper. Four parameters of the tent’s wind ropes are the angle of the wind ropes, the number of the wind ropes, and the initial prestress of the wind ropes on the side or end faces. The influence of the angle of the wind ropes and the number of the wind ropes on the displacement is larger tha

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Tleubekova, G. "TOPIC OF THE ARTICLE: DEVELOPMENT AND OPTIMIZATION OF LIGHTWEIGHT CNN MODELS FOR PLANT DISEASE DIAGNOSTICS." Sciences of Europe, no. 165 (May 28, 2025): 72–75. https://doi.org/10.5281/zenodo.15532769.

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This paper proposes a methodology for creating and optimizing lightweight convolutional neural networks (CNNs) for plant disease diagnostics given limited computational resources. Two models are considered as the base architecture: MobileNetV2Small with integrated Squeeze-and-Excitation (SE) blocks and EfficientNetB0, used without modifications. The MobileNetV2Small modification is aimed at improving the quality of feature extraction through adaptive channel scaling, which allows increasing the classification accuracy while maintaining the compactness of the model. Experiments were conducted o

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Liu, Qingyuan, Rongwei Xu, Yang Zhou, et al. "Metamaterials mapped lightweight structures by principal stress lines and topology optimization: Methodology, additive manufacturing, ductile failure and tests." Materials & Design 212 (December 2021): 110192. http://dx.doi.org/10.1016/j.matdes.2021.110192.

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Blanco, David, Eva María Rubio, Raquel María Lorente-Pedreille, and María Ana Sáenz-Nuño. "Lightweight Structural Materials in Open Access: Latest Trends." Materials 14, no. 21 (2021): 6577. http://dx.doi.org/10.3390/ma14216577.

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The aeronautical and automotive industries have, as an essential objective, the energy efficiency optimization of aircraft and cars, while maintaining stringent functional requirements. One working line focuses on the use of lightweight structural materials to replace conventional materials. For this reason, it is considered enlightening to carry out an analysis of the literature published over the last 20 years through Open Access literature. For this purpose, a systematic methodology is applied to minimize the possible risks of bias in literature selection and analysis. Web of Science is use

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Zhou, Xiang Yang, Rui Xia Yu, Da Peng Li, and Jian Ping Li. "Structural Optimization of an Inertially Stabilized Platform for Aerial Remote Sensing Systems." Advanced Materials Research 217-218 (March 2011): 1615–18. http://dx.doi.org/10.4028/www.scientific.net/amr.217-218.1615.

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The purpose of this paper is to study the methodology on structural optimization of inertially stabilized platform (ISP). It is difficult for the ISP structure design since lots of objects are required and many of them are conflicted each other, hence structural optimization should be carried out to seek a compromise between theses contradictions, such as high stiffness and light weight, high ratio of payload to mass and small size, etc. In this paper, first of all, an optimal configuration of 3-axis gimbals assembly is determined on the basis of analysis on the operating environment; and then

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Ostermann, Moritz, Julian Grenz, Marcel Triebus, et al. "Integrating Prospective Scenarios in Life Cycle Engineering: Case Study of Lightweight Structures." Energies 16, no. 8 (2023): 3371. http://dx.doi.org/10.3390/en16083371.

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Lightweight design is a common approach to reduce energy demand in the use stage of vehicles. The production of lightweight materials is usually associated with an increase in energy demand, so the environmental impacts of lightweight structures need to be assessed holistically using a life cycle assessment. To estimate the life cycle environmental impacts of a product in its developmental stage, for example, by life cycle engineering, future changes in relevant influencing factors must be considered. Prospective life cycle assessment provides methods for integrating future scenarios into life

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Reinisch, Joseph, Erich Wehrle, and Johannes Achleitner. "Multiresolution Topology Optimization of Large-Deformation Path-Generation Compliant Mechanisms with Stress Constraints." Applied Sciences 11, no. 6 (2021): 2479. http://dx.doi.org/10.3390/app11062479.

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Topology optimization is a powerful numerical tool in the synthesis of lightweight structures and compliant mechanisms. Compliant mechanisms present challenges for topology optimization, as they typically exhibit large displacements and rotations. Path-generation mechanisms are a class of mechanisms that are designed to follow an exact path. The characteristics of compliant mechanisms therefore exclude the validity of linear finite-element analysis to ensure the proper modeling of deformation and stresses. As stresses can exceed the limit when neglected, stress constraints are needed in the sy

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Harrison, Andrew, Jesper Christensen, Christophe Bastien, and Stratis Kanarachos. "Crashworthy structures for future vehicle architecture of autonomous pods and heavy quadricycles on public roads: A review." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 234, no. 1 (2019): 3–16. http://dx.doi.org/10.1177/0954407019841195.

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With the development and deployment of lightweight vehicles to the market, inclusive of autonomous pods, a review of advanced crashworthy structures and the design methodology has been conducted as it is thought that super-lightweight vehicles may pose significant risk to the occupants if they are involved in a crash. It is suggested that tests should include oblique and multiple velocity impacts to cater for the effects of assisted driving systems of future vehicles. A review of current crash structures and design methodologies revealed that the most recent research do not cater to multiple c

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