Analytical Predictions and Correlation With Physical Tests for Potential Buzz, Squeak, and Rattle Regions in a Cockpit Assembly
Analytical Predictions and Correlation With Physical Tests for Potential Buzz, Squeak, and Rattle Regions in a Cockpit Assembly
复制标题
驾驶舱组件中潜在嗡嗡声、吱吱声和嘎嘎声区域的分析预测及其与物理测试的关联
DOI：
10.4271/2004-01-0393
复制
发表时间：
2004
期刊：
影响因子：
--
通讯作者：
S. Shankar
中科院分区：
文献类型：
--
作者：
M. El;John Z. Lin;Gary M. Sobek;B. P. Naganarayana;S. Shankar
感知的内部噪音一直是汽车内部组件设计的主要驱动因素之一。嗡嗡声、吱吱声和嘎嘎声 (BSR) 问题是影响车辆感知质量的主要因素之一。传统上，BSR 问题是通过广泛的硬件测试来识别和纠正的。然而，为了缩短产品开发周期并最大限度地减少昂贵的硬件构建数量，必须在设计周期中预先依赖工程分析和仿真。本文提出了一项分析和实验研究，以确定驾驶舱组件中潜在的 BSR 位置。分析调查采用了一种新颖且实用的方法，在软件工具 Nhance.BSR 中实施，用于识别和排序潜在的 BSR 问题。这里的重点是评估软件的 BSR 预测和建模问题的识别，而不是评估驾驶舱设计本身的 BSR 问题。该方法基于利用结构组件的有限元模型的模态和受迫频率响应分析。本文将分析结果与两种载荷谱的实验结果进行比较，发现相关性非常好。
The perceived interior noise has been one of the major driving factors in the design of automotive interior assemblies. Buzz, Squeak and Rattle (BSR) issues are one of the major contributors toward the perceived quality in a vehicle. Traditionally BSR issues have been identified and rectified through extensive hardware testing. In order to reduce the product development cycle and minimize the number of costly hardware builds, however, one must rely on engineering analysis and simulation upfront in the design cycle. In this paper, an analytical and experimental study to identify potential BSR locations in a cockpit assembly is presented. The analytical investigation utilizes a novel and practical methodology, implemented in the software tool Nhance.BSR, for identification and ranking of potential BSR issues. The emphasis here is to evaluate the software for the BSR predictions and the identification of modeling issues, rather than to evaluate the cockpit design itself for BSR issues. The methodology is based on modal and forced frequency response analysis utilizing the finite element model of the structural assembly. The analytical results are compared herein with the experimental findings for two types of load spectra and the correlation is found to be very good.