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multi-objective design optimization of insulated gate bipolar transistor structures considering ultrasonic welding packaging

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ENGINEERING optimization 2025年

作者： Zhao, Feng Hu, Weifei Wang, Lei Liu, Hongwen Cheng, Jin Song, Xueguan Tan, Jianrong Zhejiang Univ State Key Lab Fluid Power & Mechatron Syst Hangzhou Peoples R China Zhejiang Univ Sch Mech Engn Hangzhou Peoples R China Zhejiang Univ Innovat Ctr Yangtze River Delta Jiaxing Peoples R China CRRC Zhuzhou Inst Co Ltd Zhuzhou Peoples R China Cent South Univ Sch Traff & Transportat Engn Changsha Peoples R China Dalian Univ Technol Sch Mech Engn Dalian Peoples R China

This article proposes a multi-objective design optimization (MODO) framework to improve the performance (i.e. fatigue resistance, electrical conductivity and lightweight characteristics) of insulated gate bipolar transistor (IGBT) modules during high-frequency ultrasonic welding (USW) packaging. A high-fidelity USW coupling model is established to explore coupling mechanisms and accurately predict the welding temperature and penetration depth. To mitigate the computational burden, a novel surrogate modelling approach employing an improved sequential sampling strategy is proposed. A new non-dominated sorting genetic algorithm-II incorporating kernel density estimation is proposed to solve the MODO problem effectively. The high accuracy of the coupling model in predicting the welding temperature and penetration depth are validated by experimental results. Among all the MODO Pareto solutions, the maximum fatigue damage and conductivity loss of the IGBT structure are reduced by 87.57% and 9.65%, respectively, which demonstrates the advantages of the proposed MODO framework.

关键词： Insulated gate bipolar transistor ultrasonic welding multi-objective design optimization surrogate model sequential sampling

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multi-objective design optimization for mini-channel cooling battery thermal management system in an electric vehicle

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INTERNATIONAL JOURNAL OF ENERGY RESEARCH 2019年第8期43卷 3668-3680页

作者： Li, Wei Peng, Xiongbin Xiao, Mi Garg, Akhil Gao, Liang Huazhong Univ Sci & Technol State Key Lab Digital Mfg Equipment & Technol Wuhan Hubei Peoples R China Shantou Univ Minist Educ Intelligent Mfg Key Lab Shantou Peoples R China

Lithium-ion battery packs have been generally used as the power source for electric vehicles. Heat generated during discharge and limited space in the battery pack may bring safety issues and negative effect on the battery pack. Battery thermal management system is indispensable since it can effectively moderate the temperature rise by using a simple system, thereby improving the safety of battery packs. However, the comprehensive investigation on the optimal design of battery thermal management system with liquid cooling is still rare. This article develops a comprehensive methodology to design an efficient mini-channel cooling system, which comprises thermodynamics, fluid dynamics, and structural analysis. The developed methodology mainly contains four steps: the design of the mini-channel cooling system and computational fluid dynamics analysis, the design of experiments and selection of surrogate models, formulation of optimization model, and multi-objective optimization for selection of the optimum scheme for mini-channel cooling battery thermal management system. The findings in the study display that the temperature difference decreases from 8.0878 to 7.6267 K by 5.70%, the standard temperature deviation decreases from 2.1346 to 2.1172 K by 0.82%, and the pressure drop decreases from 302.14 to 167.60 Pa by 44.53%. The developed methodology could be extended for industrial battery pack design process to enhance cooling effect thermal performance and decrease power consumption.

关键词： battery thermal management system computational fluid dynamics electric vehicles multi-objective design optimization surrogate model

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multi-objective design optimization of a Tubular Permanent Magnet Linear Generator With 120° Phase Belt Toroidal Windings

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IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS 2022年第1期10卷 236-247页

作者： Yan, Zuoguang Si, Jikai Li, Zhongwen Gan, Chun Hu, Yihua Zhengzhou Univ Coll Elect Engn Zhengzhou 450001 Peoples R China Huazhong Univ Sci & Technol Sch Elect & Elect Engn Wuhan 430074 Peoples R China Univ York Dept Elect Engn York YO10 5DD N Yorkshire England

The utilization of 120 degrees phase belt toroidal windings (120 degrees-TWs) can bring power density improvement in a tubular permanent magnet linear generator (TPMLG). Unfortunately, the TPMLG with 120 degrees-TWs (120 degrees-TPMLG) usually involve multiple structural parameters, and the interaction or even conflict among those structural parameters would have strong impact on generator performances in the design optimization process. To alleviate this problem, a multi-objective design optimization method is proposed to conduct a multi-objectives optimization, which aims to obtain the high-power density and low-detent force. First, the comprehensive sensitivity analysis method, namely global sensitivity analysis, is adopted to evaluate the sensitivities of the structural parameters on the performances of the 120 degrees-TPMLG. According to the evaluation results, the structural parameters are divided into three levels: non-sensitive level, mild-sensitive level, and strong-sensitive level. Then, to improve the whole design optimization efficiency, the direct-screening method, the surface method, and the genetic algorithm is implemented in the three levels, respectively. And the optimal structural parameters of the 120 degrees-TPMLG are finally determined. To verify the feasibility of the 120 degrees-TPMLG and the effectiveness of the proposed design optimization method, the performances of the optimal 120 degrees-TPMLG are analyzed and compared with the initial one and the same dimensions TPMLG with traditional toroidal windings (T-TPMLG) in detail. It shows that the performances of the optimal 120 degrees-TPMLG meet the design requirements. Moreover, the detent force is largely decreased and the power density is notably improved. The results prove that the proposed multi-objective design optimization method is available for the 120 degrees-TPMLG.

关键词： 120 degrees phase belt toroidal windings (120 degrees-TWs) comprehensive sensitivity analysis detent force multi-objective design optimization power density tubular permanent magnet linear generator (TPMLG)

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multi-objective design optimization of a Turret's U-bracket mounted on moving platform

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE 2022年第24期236卷 11371-11388页

作者： Anguek, Oussama Bounab, Belkacem Ecole Mil Polytech LDSM EMP Dynam Mech Syst Lab BP 17 Algiers 16214 Algeria

This paper aims to model and design a lightweight U-bracket for two degrees of freedom (DOF) mechanism used to carry a machine gun. The mechanism is called a weapon station or a gun turret and can be mounted on any mobile platform. Due to the movement of the platform and the gun recoil force, the gun turret is subjected to high disturbances. So, to get better performances in terms of distributed efforts, stability and precision, the mechanism has to be optimally designed. The trunnion axis offset corresponding to higher dynamic and structural performance was determined based on probabilistic analysis and finite element simulations. Then, the co-simulation between MATLAB and ANSYS Parametric design Language (APDL) was performed to get the optimal shape of the U-bracket by minimizing its mass, and maximizing its first natural frequency subjected to maximum stress constraint. To solve this constrained optimization problem, the multi-objective Genetic Algorithm (MOGA) technique was used. Through numerical simulations, the proposed approach shows the ability to provide a generic methodology to design the U-bracket of a 2-DOF weapon station efficiently.

关键词： multi-objective design optimization gun turret dynamic analysis co-simulation

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multi-objective design optimization of the transverse gaseous jet in supersonic flows

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ACTA ASTRONAUTICA 2014年第Jan.期93卷 13-22页

作者： Huang, Wei Yang, Jun Yan, Li Natl Univ Def Technol Sci & Technol Scramjet Lab Changsha 410073 Hunan Peoples R China

The mixing process between the injectant and the supersonic crossflow is one of the important issues for the design of the scramjet engine, and the efficiency mixing has a great impact on the improvement of the combustion efficiency. A hovering vortex is formed between the separation region and the barrel shock wave, and this may be induced by the large negative density gradient. The separation region provides a good mixing area for the injectant and the subsonic boundary layer. In the current study, the transverse injection flow field with a freestream Mach number of 3.5 has been optimized by the non-dominated sorting genetic algorithm (NSGA II) coupled with the Kriging surrogate model;and the variance analysis method and the extreme difference analysis method have been employed to evaluate the values of the objective functions. The obtained results show that the jet-to-crossflow pressure ratio is the most important design variable for the transverse injection flow field, and the injectant molecular weight and the slot width should be considered for the mixing process between the injectant and the supersonic crossflow. There exists an optimal penetration height for the mixing efficiency, and its value is about 14.3 mm in the range considered in the current study. The larger penetration height provides a larger total pressure loss, and there must be a tradeoff between these two objection functions. In addition, this study demonstrates that the multi-objective design optimization method with the data mining technique can be used efficiently to explore the relationship between the design variables and the objective functions. (c) 2013 IAA. Published by Elsevier Ltd. All rights reserved.

关键词： Aerospace propulsion system Transverse slot injection multi-objective design optimization Variance analysis Extreme difference analysis Supersonic flow

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multi-objective design optimization of a plate-fin heat sink using a teaching-learning-based optimization algorithm

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APPLIED THERMAL ENGINEERING 2015年 76卷 521-529页

作者： Rao, R. V. Waghmare, G. G. SV Natl Inst Technol Dept Mech Engn Surat 395007 Gujarat India

This paper presents the multiobjective design optimization of a plate-fin heat sink equipped with flow-through and impingement-flow air cooling systems using teaching-learning-based optimization algorithm. Two objective functions known as entropy generation rate and material cost with five constraints have been taken to measure the performance of the heat sink. Number of fins, height of fins, spacing between two fins and oncoming air velocity are considered as the design variables. The dynamic heat dissipation performance of plate-fin heat sink is investigated using finite element software ANSYS 12.1. The results show the better or competitive performance of the TLBO algorithm over the other optimization algorithms considered by the previous researchers for the same problem. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： multi-objective design optimization Plate-fin heat sink Teaching-learning-based optimization algorithm

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multi-objective design optimization of the complete valve system in an adjustable linear hydraulic damper

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PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE 2011年第C3期225卷 679-699页

作者： Wang, W. L. Yang, X. J. Xu, G. X. Huang, Y. Nanchang Univ Sch Mech & Elect Engn Vehicle Engn Lab Nanchang 330031 Jiangxi Peoples R China

Adjustable linear hydraulic dampers are widely used in high-speed trains to improve their ride comfort and stability, the distinctive damping characteristics of the dampers are intrinsically predetermined by their inner complete valve systems. Therefore, design of the complete valve system parameters for each damper type is of crucial importance. A multi-objective design optimization model for the concept of optimizing both the technical and economic capabilities of a three-valve complete valve system in a hydraulic damper was formulated, based on full damper dynamics modelling. A linear weighted criterion method was used to transform the established multi-objective problem to a single-objective problem, and a computer package employing the genetic algorithm for the optimization search was developed. Implementation of the design optimization was performed, and an optimal result, with about 10.29 per cent improvement of the overall fitness value, was obtained. Simulation results show that the optimal result satisfies all the competing objectives well within the constraints, except for some minor and tolerable tradeoffs in the relief valve response performance. Prototype experiments validated that the prototype dampers have obtained excellent damping characteristics, as expected. Thus, the complete valve system of the hydraulic damper was comprehensively optimized, with respect to both the technical and economic concerns. The approach developed in this work has already been applied to the engineering design of several hydraulic damper products in industry.

关键词： multi-objective design optimization complete valve system adjustable linear hydraulic damper relief valve response prototype experiment

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multi-objective design optimization of heat exchangers using elitist-Jaya algorithm

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ENERGY SYSTEMS-optimization MODELING SIMULATION AND ECONOMIC ASPECTS 2018年第2期9卷 305-341页

作者： Rao, R. Venkata Saroj, Ankit Saradar Vallabhbhai Natl Inst Technol Mech Engn Dept Surat 395007 India

This paper proposes an elitist-Jaya algorithm for multi-objective design optimization of shell-and-tube and plate-fin heat exchangers. Jaya algorithm is a newly proposed algorithm and it is not having any algorithmic-specific parameters to be set except the common control parameters of number of iterations and population size. Elitist version of the Jaya algorithm is proposed in this paper to simultaneously optimize the total annual cost and effectiveness of the heat exchangers. Two heat exchanger design problems are considered for investigating the performance of the proposed algorithm. The same problems were earlier optimized by other researchers using genetic algorithm and modified teaching-learning-based optimization algorithm. The consequences of common controlling parameters e.g. number of iterations, population size and elite size, on the proposed algorithm's performance is tested with various combinations of the same. The results of computational experiments proved the superiority of the proposed algorithm over the latest reported approaches used for the design optimization problems of heat exchangers.

关键词： multi-objective design optimization Shell-and-tube heat exchanger Plate-fin heat exchanger Elitist-Jaya algorithm

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multi-objective design optimization of Cooling Turbine Blade Based on Kriging Model

Multi-Objective Design Optimization of Cooling Turbine Blade...

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International Conference on Frontiers of Mechanical Engineering and Materials Engineering (MEME 2012)

作者： Ao, Liangbo Li, Lei Li, Yuansheng Wen, Zhixun Yue, Zhufeng Northwestern Polytech Univ Dept Engn Mech Xian 710129 Peoples R China

ISBN: (纸本)9783037854419

The multi-objective design optimization of cooling turbine blade is studied using Kriging model. The optimization model is created, with the diameter of pin fin at the trailing edge of cooling turbine blade and the location, width, height of rib as design variable, the blade body temperature, flow resistance loss and aerodynamic efficiency as optimization object. The sample points are selected using Latin hypercube sampling technique, and the approximate model is created using Kriging method, the set of Pareto-optimal solutions of optimization objects is obtained by the multi-object optimization model using elitist non-dominated sorting genetic algorithm (NSGA-II) based on the approximate model. The result shows that the conflict among all optimization objects is solved effectively and the feasibility of the optimization method is improved.

关键词： Cooling turbine blade multi-objective design optimization NSGA-II Kriging model

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multi-objective design optimization of Electric Aircraft Propulsion Power Converters

Multi-Objective Design Optimization of Electric Aircraft Pro...

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IEEE/AIAA Transportation Electrification Conference / Electric Aircraft Technologies Symposium (ITEC+EATS)

作者： Luckett, Benjamin He, JiangBiao Univ Kentucky Dept Elect & Comp Engn Lexington KY 40506 USA

ISBN: (纸本)9781665405607

Aircraft electrification is an emerging technology to enable net-zero emissions for global aviation. When designing an electric aircraft propulsion system, multiple objectives are desirable for the power electronic converters such as concurrently high efficiency and high power density. This requires computationally efficient design optimization. The approach proposed in this work aims to optimize an electric aircraft propulsion converter on the basis of high power density, high efficiency, high reliability, and low cost. This design methodology has been examined and a candidate solution set has been generated for a back-to-back voltage source converter rated at 1 MW with a DC-link voltage of 2.4 kV. Using a selection of commercially available power components, accurate calculations, including cost, have been conducted for the 17,107,272 solutions in just 20 minutes approximately. Of the 7,930 designs in the Pareto front when using the objectives of power density, cost, efficiency, and reliability, the optimal performance on each goal for the propulsion power converter system is 11.151 kW/kg, $22.03/kW, 98.302%, and 1,642 FIT, respectively.

关键词： Electric aircraft propulsion multi-objective design optimization power converter high efficiency high power density high reliability cost

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