基于正交模拟试验和灰度分析的自由活塞斯特林发动机性能优化

Free Piston Stirling Engine Performance Optimization Based on Orthogonal Simulation and Gray-scale Analysis

  • 摘要: 自由活塞斯特林发动机是一种高效动力装置,与高效发电机结合可以构成新型空间电源系统。论文围绕影响自由活塞斯特林发动机性能的多个动力参数开展性能优化研究,考虑到其性能受多种参数共同作用的影响,综合运用正交模拟试验和灰色关联度分析方法,以提升自由活塞斯特林发动机的性能。首先,选取配气活塞质量、动力活塞质量、配气活塞板弹簧刚度以及动力活塞板弹簧刚度作为试验因素,并根据工程实际确定各因素的水平值范围,设计了四因素、四水平的正交试验方案;其次,通过熵权法对自由活塞斯特林发动机的评价指标进行客观赋权,量化并评估其对自由活塞斯特林发动机性能的影响程度;同时采用灰色关联度分析法综合评估16组试验方案的性能表现,并选取灰色关联度最大的组合作为最佳组合;在此基础上,进一步计算各因素在四种水平下的灰度均值,确定理论上的最优解;最后,根据动力活塞质量大小选定对照组,以便更全面评估不同参数组合的优劣。通过对比分析,获得配气活塞板弹簧刚度为2.02×104 N/m,动力活塞板弹簧刚度为8.0×103 N/m,配气活塞质量为0.075 kg,动力活塞质量为0.27 kg时,配气活塞振幅和动力活塞振幅分别为2.980 mm和6.261 mm,热功转换效率为35.39%,输出功率为90.97 W,在三组对比方案中展现出更优性能,能够显著提升自由活塞斯特林发动机的整体性能。

     

    Abstract: The free-piston Stirling engine serves as an efficient space power device that can form a novel power system when integrated with high-performance generators. This study investigated multiple dynamic parameters affecting the performance of a free-piston Stirling engine (FPSE). Considering that FPSE performance is influenced by a combination of factors, an integrated approach combining orthogonal simulation design and grey relational analysis was employed to identify key parameters and improve engine performance. First, four main experimental factors were selected: displacer mass, power piston mass, displacer spring stiffness, and power piston spring stiffness. Four corresponding levels for each factor were determined based on engineering constraints, and a four-factor, four-level orthogonal experimental scheme was designed. Subsequently, the entropy weight method was applied to objectively assign weights to performance evaluation metrics, quantifying and assessing their respective influence on FPSE performance. At the same time, grey relational analysis was then conducted to comprehensively assess the performance of all 16 experimental combinations. The combination exhibiting the highest grey relational grade was identified as the optimal configuration. Further analysis involved calculating the average grey relational values for each factor across different levels to determine the theoretically optimal parameter configuration. Finally, a control group was selected based on the power piston mass to enable a more comprehensive evaluation of different parameter combinations. Through comparative analysis of performance indicators, it was found that when the displacer spring stiffness is 2.02×104 N/m, the power piston spring stiffness is 8.0×103 N/m, the displacer mass is 0.075 kg, and the power piston mass is 0.27 kg, the displacer and power piston amplitudes reach 2.98 mm and 6.261 mm, respectively, with a thermal efficiency of 35.39% and an output power of 90.97 W. This combination demonstrates superior performance among the three comparison schemes. These findings provide important guidance for engineering design and significantly enhance the overall performance of free-piston Stirling engines.

     

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