摘要
本文针对热工综合实验装置中的一重要设备蒸发冷凝式电量热器,以成本最低为目标函数,采用遗传算法对其进行了优化设计,要求在满足换热能力等性能约束和结构约束条件下体积最小,所用材料最省,从而降低其制造费用。为此类换热器的优化设计提供了技术途径。
The evaporating-condensing electric calorimeter is a vital component in the synthesis experimental bench for thermodynamics, in order to lower it's manufacture price, request the minimum cubic content and material cost meet the structural constraint and performance constraint, the genetic algorithm is employed to solve the problem. This paper provided a technical way for the optimum design of such type of heat-exchangers.
出处
《工程热物理学报》
EI
CAS
CSCD
北大核心
2005年第z1期225-228,共4页
Journal of Engineering Thermophysics
基金
国家自然科学基金资助项目(No.50476080)上海市教委发展基金资助项目(No.03GK08)
关键词
蒸发冷凝式电量热器
优化设计
遗传算法
evaporating-condensing electric calorimeter
optimum design
genetic algorithm
