Multidisciplinary Design Optimization of Vehicle Instrument Panel Based on Multi-objective Genetic Algorithm

• Published in: Chinese Journal of Mechanical Engineering Vol. 26; no. 2; pp. 304 - 312
• Main Authors: Wang, Ping, Wu, Guangqiang
• Format: Journal Article
• Language: English
• Published: Beijing Chinese Journal of Mechanical Engineering 01.03.2013; Chinese Mechanical Engineering Society; Springer Nature B.V; Institute of Industrial Science, the University of Tokyo, Tokyo 153-8505, Japan; Automotive School, Tongji University, Shanghai 201804, China%Automotive School, Tongji University, Shanghai 201804, China
• Edition: English ed.
• Subjects: Collaboration; Computer simulation; Constitutive relationships; Crashworthiness; Design engineering; Design of experiments; Design optimization; Electrical Machines and Networks; Electronics and Microelectronics; Engineering; Engineering Thermodynamics; Fuel consumption; Genetic algorithms; Heat and Mass Transfer; Impact strength; Instrument panels; Instrumentation; Knee; Lightweight; Machines; Manufacturing; Mechanical Engineering; Multidisciplinary design optimization; Multiple objective analysis; Optimization; Pareto optimization; Pareto解集; Polypropylene; Power Electronics; Processes; Reliability; Resonant frequencies; Response surface methodology; Smoothness; Tensile tests; Theoretical and Applied Mechanics; Weight reduction; 塑性本构关系; 多学科设计优化; 多目标优化问题; 多目标遗传算法; 应变速率; 汽车仪表板; 聚丙烯材料; NVH; instrument panel(IP); multi-objective optimization; multidisciplinary design optimization; safety
• ISSN: 1000-9345; 2192-8258
• DOI: 10.3901/cjme.2013.02.304

Typical multidisciplinary design optimization（MDO） has gradually been proposed to balance performances of lightweight, noise, vibration and harshness（NVH） and safety for instrument panel（IP） structure in the automotive development. Nevertheless, plastic constitutive relation of Polypropylene（PP） under different strain rates, has not been taken into consideration in current reliability-based and collaborative IP MDO design. In this paper, based on tensile test under different strain rates, the constitutive relation of Polypropylene material is studied. Impact simulation tests for head and knee bolster are carried out to meet the regulation of FMVSS 201 and FMVSS 208, respectively. NVH analysis is performed to obtain mainly the natural frequencies and corresponding mode shapes, while the crashworthiness analysis is employed to examine the crash behavior of IP structure. With the consideration of lightweight, NVH, head and knee bolster impact performance, design of experiment（DOE）, response surface model（RSM）, and collaborative optimization（CO） are applied to realize the determined and reliability-based optimizations, respectively. Furthermore, based on multi-objective genetic algorithm（MOGA）, the optimal Pareto sets are completed to solve the multi-objective optimization（MOO） problem. The proposed research ensures the smoothness of Pareto set, enhances the ability of engineers to make a comprehensive decision about multi-objectives and choose the optimal design, and improves the quality and efficiency of MDO.