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Application of a multi-objective genetic optimization algorithm for the thermodynamic optimization of reed valves

机译:多目标遗传优化算法在簧片阀热力学优化中的应用

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摘要

Reed valves are commonly used in low-capacity refrigeration compressors due to their simple structure and low cost. The design of these valves requires a multidisciplinary approach to ensure both the thermodynamic performance and structural reliability. This paper proposes an optimization procedure for reed valves based on thermodynamic and bending fatigue criteria. The thermodynamic state of the gas in the compression chamber is evaluated with a lumped simulation model, whereas the bending stresses are predicted using a beam model discretized by the finite element method. The procedure is applied to design the suction valve of a high-efficiency reciprocating compressor used in household refrigeration systems. The influence of the reed thickness and clearance volume is assessed by comparing the compressor efficiency, valve displacement and instantaneous flow rate through the valve for each condition. The results reveal that this computationally inexpensive procedure can be used to find the optimal valve design in terms of thermodynamic efficiency and reliability.
机译:簧片阀因其结构简单、成本低廉而常用于低容量制冷压缩机。这些阀门的设计需要采用多学科方法,以确保热力学性能和结构可靠性。本文提出了一种基于热力学和弯曲疲劳准则的簧片阀优化程序。使用集总仿真模型评估压缩室中气体的热力学状态,而使用有限元方法离散化的梁模型预测弯曲应力。该程序用于设计家用制冷系统中使用的高效往复式压缩机的吸入阀。通过比较压缩机效率、阀门排量和每种条件下通过阀门的瞬时流量来评估簧片厚度和间隙容积的影响。结果表明,这种计算成本低廉的程序可用于在热力学效率和可靠性方面找到最佳的阀门设计。

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