Use of genetic algorithms for the optimal design of shell-and-tube heat exchangers

被引：116

作者：

Ponce-Ortega, Jose M. ^{[1
,2
]}

Serna-Gonzalez, Medardo ^{[2
]}

Jimenez-Gutierrez, Arturo ^{[1
]}

机构：

[1] Inst Tecnol Celaya, Dept Ingn Quim, Celaya 38010, Gto, Mexico

[2] Univ Michoacana, Fac Ingn Quim, Morelia 58060, Michoacan, Mexico

来源：

APPLIED THERMAL ENGINEERING | 2009年 / 29卷 / 2-3期

关键词：

Shell-and-tube heat exchangers; Bell-Delaware; Genetic algorithm; Optimization; NETWORK SYNTHESIS; OPTIMIZATION;

D O I：

10.1016/j.applthermaleng.2007.06.040

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

This paper presents an approach based on genetic algorithms for the optimal design of shell-and-tube heat exchangers. The approach uses the Bell-Delaware method for the description of the shell-side flow with no simplifications. The optimization procedure involves the selection of the major geometric parameters such as the number of tube-passes, standard internal and external tube diameters, tube layout and pitch, type of head, fluids allocation, number of sealing strips, inlet and outlet baffle spacing, and shell-side and tube-side pressure drops. The methodology takes into account the geometric and operational constraints typically recommended by design codes. The examples analyzed show that genetic algorithms provide a valuable tool for the optimal design of heat exchangers. (C) 2008 Elsevier Ltd. All rights reserved.

引用

页码：203 / 209

页数：7

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