通过结构拓扑优化实现几何稳健性和动态响应管理,以降低吱吱声和嘎嘎声的风险

IF 1.8 Q3 ENGINEERING, MANUFACTURING
Design Science Pub Date : 2022-05-31 DOI:10.1017/dsj.2021.26
M. Bayani, Karl Lindkvist, Minh Tang, L. Lindkvist, C. Wickman, R. Söderberg
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引用次数: 1

摘要

摘要从历史上看,吱吱嘎嘎(S&R)的声音一直是最严重的质量问题之一,也是乘用车保修成本的主要原因。几何变化是造成S&R的主要原因之一。然而,在汽车开发的预设计冻结阶段,几何变异分析和稳健设计技术一直被动地参与开环设计活动。尽管成功地应用了地形测量优化来增强乘用车的重量、耐用性、噪音和振动以及耐撞性等属性,但在稳健设计背景下实施闭环结构优化以降低S&R风险的工作受到了限制。在这方面,主要障碍是计算资源的需求和缺乏量化的科技风险评估方法。在这项工作中,提出了一种拓扑优化方法,将属性平衡问题中的几何变化分析与系统的动态响应结合起来。所提出的方法用于识别需要结构加固的门构件的潜在区域。主要目标是通过改善系统对静态几何不确定性和动态激励的响应,增强设计稳健性,以最大限度地降低S&R风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Geometric robustness and dynamic response management by structural topometry optimisation to reduce the risk for squeak and rattle
Abstract Historically, squeak and rattle (S&R) sounds have been among the top quality problems and a major contributor to the warranty costs in passenger cars. Geometric variation is among the main causes of S&R. Though, geometric variation analysis and robust design techniques have been passively involved in the open-loop design activities in the predesign-freeze phases of car development. Despite the successful application of topometry optimisation to enhance attributes such as weight, durability, noise and vibration and crashworthiness in passenger cars, the implementation of closed-loop structural optimisation in the robust design context to reduce the risk for S&R has been limited. In this respect, the main obstacles have been the demanding computational resources and the absence of quantified S&R risk evaluation methods. In this work, a topometry optimisation approach is proposed to involve the geometric variation analysis in an attribute balancing problem together with the dynamic response of the system. The proposed method was used to identify the potential areas of a door component that needed structural reinforcement. The main objective was to enhance the design robustness to minimise the risk for S&R by improving the system response to static geometrical uncertainties and dynamic excitation.
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来源期刊
Design Science
Design Science ENGINEERING, MANUFACTURING-
CiteScore
4.80
自引率
12.50%
发文量
19
审稿时长
22 weeks
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