Performance optimization of ball type check valve based on NLPQL

LI Sheng-yong
(Department of Traffic Engineering, Jiangsu Vocational & Technical Shipping College, Nantong 226101, China)

Abstract: Aiming at the optimization problem of pressure flow characteristics of ball type check valve, the optimal parameters combination was made by using the diameter of check valve diameter, valve seat diameter, spring preload and spring stiffness. The objective function was built based on the integral of the error square between the actual outlet flow and the target outlet flow, and an optimization method of pressure flow characteristic of ball type check valve was proposed. The optimization of ball type check valve was built based on AMESim. The optimization research of pressure flow characteristics of ball type check valve was carried out. Based on genetic algorithm and sequential quadratic programming, the optimization comparative analysis of the same optimization parameter interval was developed. The influence of optimization parameter interval on the optimization results of genetic algorithm was analyzed. The results indicate that the pressure flow characteristics of the ball type check valve optimized based on GA are improved by reducing the optimization parameter range and the result of NLPQL is more close to the target value.
Key words: ball type check valve; optimization method; genetic algorithm(GA); sequential quadratic programming(NLPQL); pressure flow characteristic