Issue |
Int. J. Metrol. Qual. Eng.
Volume 15, 2024
|
|
---|---|---|
Article Number | 11 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/ijmqe/2024009 | |
Published online | 17 June 2024 |
Research article
Structure optimization design of gasket test rig based on response surface model
1
Quality and Safety Engineering College, China Jiliang University, Xueyuan Street, No. 258, 310018, Hangzhou, China
2
Hefei General Machinery Research Institute Co., Ltd., Changjiang Road(W), No. 888, 230031, Hefei, China
* Corresponding author: cjy@cjlu.edu.cn
Received:
20
July
2023
Accepted:
12
May
2024
In order to enhance the temperature regulation response speed of the gasket test rig and reduce the hysteresis of the temperature control system, structural optimization is implemented in the hardware part of the test rig. Firstly, a multi-physical field coupling method is employed for comprehensive performance testing of high-temperature and high-pressure gaskets, establishing a heat-fluid-solid coupling simulation and analysis model based on ANSYS. Then, internal temperature distribution of the gasket test device is calculated considering initial and boundary conditions. Next, data is collected using Latin hypercube sampling method, and optimal structural parameter combinations are determined through a multi-objective optimization approach utilizing response surface method and improved genetic algorithm. Finally, collected data is further utilized with response surface method and improved genetic algorithm multi-objective optimization technique to obtain optimal structural parameter combinations for the gasket test device which are verified by heat-fluid-solid coupling simulation. The temperatures tested before and after optimization are analyzed for comparison purposes. The results demonstrate that optimized gasket test rig significantly enhances its temperature control performance.
Key words: Structure optimization / gasket test rig / finite element analysis / response surface / advanced genetic algorithm / temperature control
© Q. Wang et al., Published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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