首页 | 官方网站   微博 | 高级检索  
     

一种新的车辆排气系统的可靠性优化设计方法
引用本文:赵闵清,鲁宇明,李成林,涂传明,谢惠华. 一种新的车辆排气系统的可靠性优化设计方法[J]. 机械科学与技术, 2023, 42(3): 432-438. DOI: 10.13433/j.cnki.1003-8728.20200648
作者姓名:赵闵清  鲁宇明  李成林  涂传明  谢惠华
作者单位:1.南昌航空大学 航空制造工程学院,南昌 330063
基金项目:国家自然科学基金项目(61866025)、江西省教育厅科技项目(GJJ170572)及江西省重点研发项目(20192BBGL70048)
摘    要:针对以总布置为目标的传统设计方法不能够满足排气系统可靠性要求,提出一种基于改进蚁群算法的排气系统可靠性优化设计方法。通过对概率因子优化、挥发条件动态处理机制以及引入最大-最小蚂蚁系统3个方面对传统蚁群算法进行改进。结合CAE仿真模拟计算、应力谱采集以及二次响应面拟合法构建可靠性寿命预测模型,利用改进蚁群算法进行优化设计求解。结果表明,排气系统所受最大应力由原来的175.11 MPa减小为158.92 MPa,可靠性寿命计算值由5 623.69 h提升至6 165.95 h。该方法有效提升排气系统可靠性寿命。

关 键 词:排气系统  可靠性  应力谱  蚁群算法  CAE
收稿时间:2020-11-03

A New Reliability Optimization Design Method of Vehicle Exhaust System
Affiliation:1.College of Aeronautical Manufacturing Engineering, Nanchang Aeronautical University, Nanchang 330063, China2.ISUZU Product Development Technology Center, Nanchang 330063, China3.Hubei Institute of Automotive Technology, Shiyan 442002, Hubei, China
Abstract:Aiming at the problem that the traditional design method with the goal of the general layout cannot fully meet the reliability requirements of the exhaust system. In this paper, we propose a new design method ofoptimizing the reliability of exhaust systems based on an improved ant colony algorithm. The traditional ant colony algorithm is improved by optimizing the probability factor, the dynamic processing mechanism of volatile conditions and the introduction to a max-min ant system. A reliability life prediction model is constructed by combining CAE simulation, stress spectrum acquisition and quadratic response surface fitting method, and the improved ant colony algorithm is used to solve the optimal design. The results show that the maximum stress on the exhaust system reduced from 175.11 MPa to 158.92 MPa, and the calculated reliability life increased from 5623.69 h to 6165.95 h. This new method effectively improves the reliability life of the vehicle exhaust system.
Keywords:
点击此处可从《机械科学与技术》浏览原始摘要信息
点击此处可从《机械科学与技术》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号