湿工况下翅片管换热器多目标优化设计  

Multi-objective Optimization Principle for Finned Tube Heat Exchangers in Wet Conditions

作　　者：叶增增 黄跃武[1] 

机构地区：[1]东华大学环境科学与工程学院

出　　处：《建筑热能通风空调》2016年第4期73-76,共4页Building Energy & Environment

基　　金：国家自然科学基金项目(No.51078068);中央高校基本科研业务专项基金(11D11314)

摘　　要：以传热、流动阻力和质交换引起的最小总火积耗散数和翅片板面积为目标函数,以换热器芯体外形尺寸为优化变量,在给定热负荷的情况下,采用遗传算法对管内外工作流体分别为水和空气的套片式翅片管换热器进行多目标优化。得到总火积耗散数与翅片板面积的最优Pareto解集,分析总火积耗散数与翅片板面积的关系。分别将以上三种火积耗散数两两作为目标函数做多目标优化,对比分析三种情况下的最优解区间。结果表明:总火积耗散数与翅片板总面积以及总火积耗散数中三种耗散因素之间是相互对立的,其变化趋势是相反的。本文引入的湿工况下的质交换火积耗散在总火积耗散中占据约28.5%,比粘性耗散引起的火积耗散大。It is taken the fin plate area and total entransy dissipation number caused by heat transfer, fluid friction and mass transfer as the objective functions and the heat exchangers core dimensions as the optimization variables to optimize the finned tube heat exchangers by using genetic algorithms, which takes water and air as working fluids inside and outside of the tube. The relationship between the total entransy dissipation number and fin plate area is analysis and the optimal Pareto solution set is obtained. Any two of the three kinds of entransy dissipation number are as the objective functions for multi-objective optimization and the three kinds of optimal solution set are analyzed. It is demonstrated that between the total entransy dissipation number with the total fin plate area and three kinds of dissipation are conflicting, and their change trend is opposite. Mass transfer entransy dissipation in this paper is accounted for 28.5% of the total entransy dissipation, which are larger than fluid friction entransy dissipation.

关 键 词：火积耗散 质交换 湿度火积 遗传算法 翅片管换热器 多目标优化 

分 类 号：TK172[动力工程及工程热物理—热能工程]