Multiobjective optimization of a pressure maintaining ball valve structure based on RSM and NSGA-II
Abstract 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. Throu...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-02158-w |
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| Summary: | Abstract 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 $${\upsigma }_{{\max}}$$ 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 $${D}_{5}$$ , the sealing surface adjustment amount $${L}_{2}$$ , and the pressure surface adjustment amount $${L}_{6}$$ . Using response surface methodology (RSM) and central composite design (CCD), a regression model was developed to correlate $${D}_{5}$$ , $${L}_{2}$$ , and $${L}_{6}$$ with $${\upsigma }_{{\max}}$$ and S. The Non-dominated Sorting Genetic Algorithm II (NSGA-II) was then applied for multi-objective optimization, yielding optimal parameters: $${D}_{5}$$ = 60 mm, $${L}_{2}$$ = 37 mm, and $${L}_{6}$$ = 35 mm, the corresponding values of $${\upsigma }_{{\max}}$$ 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 $${\upsigma }_{{\max}}$$ and 6.9% for S, thereby validating the accuracy of the predictive model. Compared to the initial design, the optimized configuration reduced $${\upsigma }_{{\max}}$$ 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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| ISSN: | 2045-2322 |