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.
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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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Xiang, F., Xiang, Z. & Cheng, W. Structure Optimization of Air Filter Based on Parametric Sensitivity. Wuhan Univ. J. Nat. Sci. 24, 271–276 (2019). https://doi.org/10.1007/s11859-019-1396-4
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DOI: https://doi.org/10.1007/s11859-019-1396-4
Key words
- air filter
- parametric sensitivity
- computational fluid dynamics (CFD)
- equidistant search method
- structure optimization design