Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

2.10

CiteScore

Shuxun Li1,2, Wenyu Kang This email address is being protected from spambots. You need JavaScript enabled to view it.1,2, Taiyu Liu1,2, Lingxia Yang1,2, and YixueWang1,2

1School of Petrochemical Engineering, Lanzhou University of Technology, Lanzhou 730050, China
2Mechanical industry pump and special valve Engineering Research Center, Lanzhou 730050, China


 

Received: June 27, 2022
Accepted: September 4, 2022
Publication Date: October 14, 2022

 Copyright The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are cited.


Download Citation: ||https://doi.org/10.6180/jase.202307_26(7).0012  


ABSTRACT


To research the influence of high-speed collision between the valve core and valve seat on sealing performance in the closing process of check valve, the collision between the valve core and valve seat during the check valve closing process was calculated based on the Nonlinear Transient Finite Element Method (FEM). It is found that there is a larger optimization space in the structure sealing performance. The objective function was established based on the Multi-Objective genetic algorithm of the Pareto Optimal Concept, and the sensitivity analysis of sealing structure design parameters was carried out by the Optimal Latin Hypercube (OLH) method to select the final optimization design variables which were used to design the optimum size of the check valve core and valve seat. The results show that the sealing performance and structural strength of the check valve were significantly improved after optimization. This research provides a reference for the design and optimization of the control valve sealing structure.


Keywords: LNG ultra-low temperature; axial flow check valve; sealing structure; transient impact; Multi-Objective optimization


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2.1
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69th percentile
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