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重卡驱动桥壳疲劳稳健性与轻量化设计
引用本文:范例,谢里阳,张娜.重卡驱动桥壳疲劳稳健性与轻量化设计[J].东北大学学报(自然科学版),2019,40(3):365-369.
作者姓名:范例  谢里阳  张娜
作者单位:东北大学 航空动力装备振动及控制教育部重点实验室, 辽宁 沈阳 110819;安徽理工大学 车辆工程系, 安徽 淮南 232001;东北大学 航空动力装备振动及控制教育部重点实验室,辽宁 沈阳,110819;中国第一汽车股份有限公司 汽车振动噪声与安全控制综合技术国家重点实验室,吉林 长春,130011
基金项目:辽宁重大装备制造协同创新中心资助项目.
摘    要:驱动桥壳轻量化设计对于提高承载能力、降低生产成本具有重要的意义.本文在驱动桥壳有限元分析和疲劳分析计算的基础上建立驱动桥壳多目标优化模型,对重型卡车驱动桥壳进行参数化设计,建立正交试验表,利用田口方法和综合评价方法对驱动桥壳的疲劳性能稳健性和质量进行优化设计.优化结果表明,此方法可以应用于驱动桥壳的多目标优化,优化后驱动桥壳的疲劳稳健性能得到提高,减轻了质量,因此节约了桥壳材料,降低了生产和运营成本,提高了设计水平.

关 键 词:多目标优化  田口方法  综合评价方法  疲劳稳健性优化  轻量化设计
收稿时间:2018-01-13
修稿时间:2018-01-13

Fatigue Robustness and Lightweight Design of Driving Axle Housing for Heavy Truck
FAN Li,XIE Li-yang,ZHANG Na.Fatigue Robustness and Lightweight Design of Driving Axle Housing for Heavy Truck[J].Journal of Northeastern University(Natural Science),2019,40(3):365-369.
Authors:FAN Li  XIE Li-yang  ZHANG Na
Institution:1. Key Laboratory of Vibration and Control of Aero-Propulsion System, Ministry of Education, Northeastern University, Shenyang 110819, China; 2. Department of Vehicle Engineering, Anhui University of Science & Technology, Huainan 232001, China; 3. State Key Laboratory of Comprehensive Technology on Automobile Vibration and Noise & Safety Control, China FAW Group Corporation, Changchun 130011, China.
Abstract:Lightweight of driving axle housing is of great importance to enhance load capacity and reduce production cost. In this paper, multi-objective optimal model was built on the basis of finite element and fatigue analysis of driving axle housing. The orthogonal test table was established as parametric design of driving axle housing. The fatigue robustness and lightweight of the driving axle housing were optimized by Taguchi method and comprehensive evaluation method. The optimization result shows that this method can be applied to the multi-objective optimization of driving axle housing. The optimized driving axle housing has a better performance in fatigue robustness with light weight. The material of driving axle housing is saved, the production and operating cost is reduced, and the design level is thus improved.
Keywords:multi-objective optimization  Taguchi method  comprehensive evaluation method  fatigue robustness optimization  lightweight design  
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