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Multiobjective optimization of a pressure maintaining ball valve structure based on RSM and NSGA-II

Pengyun WenSchool of Mechanics Science and Engineering, Northeast Petroleum University, Daqing, 163318, Heilongjiang, ChinaSuling WangSchool of Mechanics Science and Engineering, Northeast Petroleum University, Daqing, 163318, Heilongjiang, China. [email protected]Jinbo LiSchool of Mechanics Science and Engineering, Northeast Petroleum University, Daqing, 163318, Heilongjiang, ChinaKangxing DongSchool of Mechanics Science and Engineering, Northeast Petroleum University, Daqing, 163318, Heilongjiang, ChinaZhihui RenSchool of Mechanics Science and Engineering, Northeast Petroleum University, Daqing, 163318, Heilongjiang, ChinaYanchun LiSchool of Mechanics Science and Engineering, Northeast Petroleum University, Daqing, 163318, Heilongjiang, ChinaRong QuSchool of Mechanics Science and Engineering, Northeast Petroleum University, Daqing, 163318, Heilongjiang, ChinaTingting LiSchool of Mechanics Science and Engineering, Northeast Petroleum University, Daqing, 163318, Heilongjiang, China
2025en
ABI

Аннотация

The structural design of the ball valve significantly impacts the maximum pressure-holding capability of pressure-retaining coring tools. In this study, the pressure-bearing structure of the ball valve was optimized, and a theoretical model for its pressure resistance was established. Through numerical simulation, the maximum von Mises stress [Formula: see text] and effective seal width S were established as evaluation indicators for the valve's pressure retention performance. Based on a sensitivity analysis of the ball valve's structural dimensions, three key design parameters were identified: the valve body inner diameter [Formula: see text], the sealing surface adjustment amount [Formula: see text], and the pressure surface adjustment amount [Formula: see text]. Using response surface methodology (RSM) and central composite design (CCD), a regression model was developed to correlate [Formula: see text], [Formula: see text], and [Formula: see text] with [Formula: see text] and S. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) was then applied for multi-objective optimization, yielding optimal parameters: [Formula: see text] = 60 mm, [Formula: see text] = 37 mm, and [Formula: see text] = 35 mm, the corresponding values of [Formula: see text] and S are 806.67 MPa and 11.02 mm, respectively. The optimized results were compared with numerical simulations, showing errors of 3.53% for [Formula: see text] and 6.9% for S, thereby validating the accuracy of the predictive model. Compared to the initial design, the optimized configuration reduced [Formula: see text] by 8.1% and increased S by 118.2%, significantly enhancing the pressure-bearing strength and sealing performance of the ball valve. This research proposes a novel approach to enhance the pressure-holding capacity of ball valves, providing certain theoretical guidance for improving the performance of pressure-retaining coring equipment.

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