Structure Optimization of Air Filter Based on Parametric Sensitivity

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Date: June 2019
Publisher: Springer
Document Type: Report
Length: 256 words

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Byline: Feifei Xiang (1), Zhongke Xiang (2), Wenming Cheng (1) Keywords: air filter; parametric sensitivity; computational fluid dynamics (CFD); equidistant search method; structure optimization design; TK 421+.5 Abstract: 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. Author Affiliation: (1) 0000 0004 1761 5722, grid.495244.a, School of Automotive Engineering, Jiangxi University of Technology, Nanchang, Jiangxi, 330098, China (2) 0000 0004 1761 5722, grid.495244.a, The Center of Collaboration and Innovation, Jiangxi University of Technology, Nanchang, Jiangxi, 330098, China Article History: Registration Date: 13/05/2019 Received Date: 11/08/2018 Online Date: 14/05/2019 Article note: Foundation item: 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), and the Foundation of the Center of Collaboration and Innovation (18XTKFYB03)

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Gale Document Number: GALE|A585460353