Multi-objective Optimization of a Plate-finned Tube Heat Exchanger for Fast Axial Flow CO2 Lasers Using a Genetic Algorithm

被引：0
作者：
Ghoochani, D. Esmaeilpour [1 ]
Dehghan, G. H. [1 ]
Hasanvand, M. [1 ]
Jelvani, S. [1 ]
Montazerolghaem, M. [1 ]
机构：
[1] Laser & Opt Res Sch NSTRI, Tehran 1439951113, Iran
来源：
LASERS IN ENGINEERING | 2014年 / 29卷 / 5-6期
关键词：
CO2; laser; fast axial flow (FAF); plate finned tube heat exchanger; pressure drop; multi-objective optimization; Genetic algorithm; NSGA-II;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper thermal modeling and optimal design of a heat exchanger for the fast axial flow (FAF) CO, laser cooling system are presented. The log mean temperature difference (LMTD) method is applied to estimate the heat exchange performance. The tube diameter, tube pitch, tube length, number of tubes in face and depth, tube passes and fin numbers are considered as seven design parameters. Fast and elitist Non-dominated Sorting Genetic-Algorithm (NSGA-II) is applied to obtain the minimum heat exchange surface area and pressure drop as two objective functions. The results of optimal designs are a set of multiple optimum solutions, called "Pareto optimal solutions".
引用
收藏
页码：271 / 290
页数：20
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