基于改进Alopex算法的燃机中冷器优化设计  

Improved Alopex Algorithm on the Optimization Design of Gas Turbine Intercooler

作　　者：肖鑫[1] 屈卫东[1] 

机构地区：[1]上海交通大学自动化系,上海200240

出　　处：《计算机仿真》2013年第9期318-321,共4页Computer Simulation

摘　　要：舰船燃机中冷器可以改善其变工况性能,所以中冷器的质量对舰船有效载荷有影响。但目前中冷器优化多采用简单进化算法且约束条件多采用公式拟合致使误差较大,无法得到最优解。为了提出可行的设计优化中冷器算法,对板翅式换热模块采用效率-传热单元数法建立性能校核程序,随后研究全局及局部搜索能力俱佳的改进Alopex(Algorithms of pattern extraction)进化算法,并将优化算法与性能校核过程结合,开发新的中冷器芯体质量、效率和热侧压降的多目标混合优化设计程序。数值优化结果表明,改进混合算法能够得到比SGA(简单遗传算法)和简单Alopex算法更优的设计结果。结果证明,改进方法能够为中冷器进一步优化设计提供参考。In order to put forward a feasible method,we established a performance check procedure using the efficiency-heat transfer unit means on a plate-fin heat exchanger model.Then,we researched the improved Alopex evolution algorithm,which has stronger global and local search ability.The optimized algorithm was combined with the performance check process and a new method of multi-objective optimization process on intercooler quality,efficiency and heat side pressure drop was developed.The numerical results show that the improved hybrid algorithm can get better design results than SGA and simple Alopex algorithm,which shows that this method can be used to provide reliable guidance for the further design and optimization of this type of intercooler.

关 键 词：中冷器 中冷器效率 热侧压降 改进算法 优化设计 

分 类 号：TP202.7[自动化与计算机技术—检测技术与自动化装置]