Structure Optimization of Air Filter Based on Parametric Sensitivity

作     者：XIANG Feifei XIANG Zhongke CHENG Wenming 

作者机构：School of Automotive Engineering Jiangxi University of Technology The Center of Collaboration and Innovation Jiangxi University of Technology 

出 版 物：《Wuhan University Journal of Natural Sciences》 (武汉大学学报（自然科学英文版）)

年 卷 期：2019年第24卷第3期

页      面：271-276页

核心收录：

学科分类：07[理学] 08[工学] 

基　　金：Supported by the General Plan Projects of Science and Technology of Jiangxi Provincial Department of Education(GJJ151161,GJJ180976) the Plan Projects of Science and Technology of Jiangxi Provincial Department of Science and Technology(20161BBE50053) the Foundation of the Center of Collaboration and Innovation(18XTKFYB03) 

主　　题：air filter parametric sensitivity computational fluid dynamics (CFD) equidistant search method structure optimization design 

摘      要：As the supporting supplier of the main engine plant, the general air filter manufacturers have insufficient technical reserves. The structural optimization of air filter is often based on the bench experiment, which has high implementation cost and poor performance. In view of this, taking computational fluid dynamics(CFD) as the basic technical means, an optimization design method based on parametric sensitivity combined with equidistant search was proposed. Specifically, the sensitivity of local structure parameters to pressure loss was analyzed by taking local structure of air filter as the object. According to the sensitivity, the method of equidistant search was used to optimize the parameters in order, so as to achieve the goal of overall optimization. After optimization, the pressure loss decreased by 45.13% and the effect was remarkable.