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<p>This study addresses the dynamic performance optimization of reciprocating compressor valves by proposing a systematic solution based on intelligent drive innovation and multi-physics coupling. A multi-objective optimization approach integrating numerical simulation, response surface analysis, and experimental verification was employed to systematically investigate the coupling mechanisms of key structural parameters on valve dynamic characteristics. For the proposed full-process control plate valve, parametric models were established to correlate structural parameters with flow field characteristics and valve plate dynamics, revealing the synergistic interaction mechanism of multiple parameters while validating the effectiveness of the fitted models. Experimental results from dynamic performance and industrial tests demonstrated significant improvements under optimized parameters: a 33.14% increase in effective flow area, 21.84% reduction in relative pressure loss, 6.90% enhancement in discharge capacity accompanied by 2.1% power consumption reduction, and 10.87% improvement in flow coefficient, effectively overcoming the energy efficiency trade-off bottleneck inherent in conventional mechanical constraint designs. The established quantitative relationship model of “structural parameters–flow field characteristics–performance metrics” provides a transferable optimization framework for intelligent manufacturing of fluid machinery design.</p>

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From parameter trade-off to intelligent synergy: multidimensional energy efficiency leap mechanisms in full-process controlled valves of reciprocating compressors

  • 期刊论文

  • 发表日期：

    2025年11月26日

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  • Weilin Cui,
  • Xinrui Fu,
  • Dexi Wang,
  • Xiao Hong,
  • Xiwen Cao

摘要

This study addresses the dynamic performance optimization of reciprocating compressor valves by proposing a systematic solution based on intelligent drive innovation and multi-physics coupling. A multi-objective optimization approach integrating numerical simulation, response surface analysis, and experimental verification was employed to systematically investigate the coupling mechanisms of key structural parameters on valve dynamic characteristics. For the proposed full-process control plate valve, parametric models were established to correlate structural parameters with flow field characteristics and valve plate dynamics, revealing the synergistic interaction mechanism of multiple parameters while validating the effectiveness of the fitted models. Experimental results from dynamic performance and industrial tests demonstrated significant improvements under optimized parameters: a 33.14% increase in effective flow area, 21.84% reduction in relative pressure loss, 6.90% enhancement in discharge capacity accompanied by 2.1% power consumption reduction, and 10.87% improvement in flow coefficient, effectively overcoming the energy efficiency trade-off bottleneck inherent in conventional mechanical constraint designs. The established quantitative relationship model of “structural parameters–flow field characteristics–performance metrics” provides a transferable optimization framework for intelligent manufacturing of fluid machinery design.