基于BP软件的考虑预压缩的汽车车门内饰板s&p;R分析与优化

Yajun Mou, Peiran Li, Tianyi Li, Bin Qiu, Dayong Jiang
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引用次数: 0

摘要

汽车门板发出的吱吱声和嘎嘎声严重影响消费者对汽车质量的感知。为了准确分析S&R问题,利用BP软件建立车门内饰内部装配的S&R分析有限元模型,考虑车门内饰板与钣金件在安装过程中的预压缩。测试了车体通过铰链传递给车门的激励,并利用BP软件对模型进行了模态瞬态分析。结合S&R噪声风险评价标准,对分析结果进行评价,确定S&R点。通过台架试验,验证了试验风险点与分析结果一致,表明了S&R仿真分析的准确性。基于模态贡献,对风险点进行了优化分析。通过优化分析,降低了异常噪声风险。结果表明,在数字模型设计阶段,基于BP软件的门板S&R风险分析可以进行异常噪声风险预测和优化分析,大大节省了开发时间,降低了开发成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
S&R analysis and optimization of automotive door interior panels considering pre-compression based on BP software
Squeak and Rattle (S&R) of automotive door panels seriously affect consumers' perception of vehicle quality. In order to accurately analyze the S&R problem, BP software was used to build an S&R analysis finite element model of the interior assembly of the door interior, taking into account the pre-compression between the interior door panel and the sheet metal during installation. The excitation transmitted from the body to the door through the hinge is tested, and the modal transient analysis of the model is carried out by BP software. Combined with the S&R noise risk assessment standard, the analysis results were evaluated, and the S&R points were determined. Through the bench test, it is verified that the test risk points are consistent with the analysis results, indicating the accuracy of the S&R simulation analysis. Based on the modal contribution, the S&R risk points are optimized and analyzed. Through optimization analysis, the abnormal noise risk is reduced. The results show that in the digital model design stage, the door panel S&R risk analysis based on BP software can be carried out for abnormal noise risk prediction and optimization analysis, that greatly saves development time and reduces development costs.
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