Optimizing a Rolling Piston Compressor Using a Genetic Algorithm

摘要：

The paper presents a geometrical optimization of a rolling piston compressor using a genetic algorithm.The compressor was designed for household air-conditioning running on HCFC-22.The search domain is made up of a highly constrained 12 design variables.The case under examined has two objectives;maximising cycle refrigerating capacity while minimising the compressor indicated power input.The initial test suggests that a population number of 10 is sufficient for the optimisation of this particular problem.When compared with the conventional single objective optimisation technique,the genetic algorithm (GA) is generally required a larger number of model executions and hence a larger amount of computational time.However,the benefits of the GA are two folds;not only it is capable of handling multiple conflicting objective functions in its original format,the final results from GA provide the whole spectrum of optimised designs,the final selection of which dependent on the specified required compromised of each of the mutually conflicting objective functions.

关键词： Genetic algorithm Rolling piston Rotary compressor,Optimization

作者: K.T.OOI

作者单位: School of Mechanical and Aerospace Engineering Nanyang Technological University,P.R.China 50,Nanyang Avenue,Singapore 639798

会议类型: 国际会议

会议名称: 第六届压缩机与制冷国际会议(The 6th International Conference on Compressor and Refrigeration(ICCR))

会议地点: 西安

会议语种:英文

页码: 218-226

在线出版日期: 2008-09-25（万方平台首次上网日期，不代表论文的发表时间）