基于遗传算法的自增压汽化器优化设计  

Optimized design of self-pressured vaporizer based on genetic algorithm

作　　者：昌锟[1] 陈叔平[1] 刘振全[1] 谢高峰[1] 李永存[1] 

机构地区：[1]兰州理工大学石油化工学院

出　　处：《石油机械》2006年第4期20-22,共3页China Petroleum Machinery

摘　　要：通过分析自增压汽化器的传热模型,应用遗传算法对自增压汽化器进行了优化设计;讨论了算法的优化步骤,并以自增压汽化器总长度最小为目标进行优化,得到1组翅片管的结构参数。实际算例结果表明,采用遗传算法进行自增压汽化器的优化设计切实可行,遗传算法寻优快捷、可靠,为同类汽化器的优化设计提供了参考。A genetic algorithm is used to make an optimized design of self-pressured vaporizer by analyzing a heat transfer model of the vaporizer. The optimized procedures of algorithm are discussed, it is optimized by using the minimum total length as the aim of study, by which a group of structural parameter are obtained for fin tubes. It is feasible for the optimized design of self-pressured vaporizer by using genetic algorithm. The result shows that the genetic algorithm is prompt and reliable for optimization, thus reference is provided for its optimized design.

关 键 词：遗传算法 自增压汽化器 优化设计 

分 类 号：TK124[动力工程及工程热物理—工程热物理] U464.136.2[动力工程及工程热物理—热能工程]