Multi-objective optimization and design for free piston Stirling engines based on the dimensionless power

26th International Cryogenic Engineering Conference & International Cryogenic Materials Conference 2016

材料科学;物理学

Mou, Jian^1,2 ; Hong, Guotong^1

Key Laboratory of Space Energy Conversion Technology, Technical Institute of Physics and Chemistry, CAS, Beijing

100190, China^1

University of Chinese Academy of Science, Beijing

100190, China^2

关键词: Adiabatic models;    Compression spaces;    Design and optimization;    Different pressures;    Empirical formulas;    Free piston Stirling engine;    Heat source temperatures;    Optimum frequency;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/171/1/012097/pdf
DOI  :  10.1088/1757-899X/171/1/012097

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In this paper, the dimensionless power is used to optimize the free piston Stirling engines (FPSE). The dimensionless power is defined as a ratio of the heat power loss and the output work. The heat power losses include the losses of expansion space, heater, regenerator, cooler and the compression space and every kind of the heat loss calculated by empirical formula. The output work is calculated by the adiabatic model. The results show that 82.66% of the losses come from the expansion space and 54.59% heat losses of expansion space come from the shuttle loss. At different pressure the optimum bore-stroke ratio, heat source temperature, phase angle and the frequency have different values, the optimum phase angles increase with the increase of pressure, but optimum frequencies drop with the increase of pressure. However, no matter what the heat source temperature, initial pressure and frequency are, the optimum ratios of piston stroke and displacer stroke all about 0.8. The three-dimensional diagram is used to analyse Stirling engine. From the three-dimensional diagram the optimum phase angle, frequency and heat source temperature can be acquired at the same time. This study offers some guides for the design and optimization of FPSEs.