会议论文详细信息
10th International Conference on Combustion, Incineration/Pyrolysis, Emission and Climate Change
Optimization and Investigation of a Free-Piston Stirling Engine based on Power and Frequency using Genetic Algorithm
生态环境科学
Savangvong, Pongnarin^1 ; Silpsakoolsook, Banterng^2 ; Kwankaomeng, Sutapat^1
Department of Mechanical Engineering, Faculty of Engineering, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand^1
Department of Chemistry, Faculty of Science, Siam University, Bangkok, Thailand^2
关键词: Engine operations;    Equation of motion;    Free piston Stirling engine;    Imaginary parts;    Objective functions;    Operation frequency;    Optimum designs;    Output performance;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/265/1/012014/pdf
DOI  :  10.1088/1755-1315/265/1/012014
学科分类:环境科学(综合)
来源: IOP
PDF
【 摘 要 】

This paper presents optimum design and performance investigation of a Free-Piston Stirling Engine (FPSE) by using genetic algorithm (GA). Mechanical and thermal analyses were considered in the optimization. Power and frequency were chosen primarily as the output performance. The mathematical model of the FPSE was provided from equation of motion in state space. The required engine operation frequency was set. The root of equation of motion is function of five unknowns including piston mass, displacer mass, stiffness of piston, stiffness of displacer and damping due to load. The engine operation with desired frequency occurs when two roots of equation of motion are imaginary part, which indicates operation frequency of the engine and other two roots are negative real part. The difference of operation frequency from equation of motion and desired frequency was set as the first objective function. The damping due to load which represents the work output of the engine was set as second objective function. Both objective functions were solved by GA.

【 预 览 】
附件列表
Files Size Format View
Optimization and Investigation of a Free-Piston Stirling Engine based on Power and Frequency using Genetic Algorithm 1035KB PDF download
  文献评价指标  
  下载次数:19次 浏览次数:36次