Experimental study and genetic algorithm-based multi-objective optimization of thermal and flow characteristics in helically coiled tubes

被引：28

作者：

Beigzadeh, Reza ^{[1
]}

Rahimi, Masoud ^{[1
]}

Parvizi, Mehdi ^{[1
]}

机构：

[1] Razi Univ, Dept Chem Engn, CFD Res Ctr, Taghe Bostan, Kermanshah, Iran

来源：

HEAT AND MASS TRANSFER | 2013年 / 49卷 / 09期

关键词：

HEAT-TRANSFER CHARACTERISTICS; ENTROPY GENERATION; TURBULENT-FLOW; FLUID; PREDICTION; EXCHANGER; PIPE;

D O I：

10.1007/s00231-013-1176-1

中图分类号：

O414.1 [热力学];

学科分类号：

摘要：

In this paper the effects of curvature ratio and torsion on friction factor (f) and Nusselt number (Nu) from coiled tubes were investigated. Hot water was passed through coiled tubes placed in a cold bath. At various Reynolds numbers, Nu, f and thermal-hydraulic performance were obtained. Empirical correlations were proposed to estimate Nu and f using the genetic algorithm. The genetic algorithm-based multi-objective optimization was used for the optimization.

引用

页码：1307 / 1318

页数：12

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