Analysis of Helical Coil Heat Exchanger Using CFD

Q4 Mathematics
Vikaskumar K. Mehtre, Aditya R. Wankhade, Mahesh P. Kumbhare, Ganesh. E. Kondhalkar
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引用次数: 0

Abstract

Helical coil has better heat transfer rate as compared to shell and tube heat exchanger, Because of development of secondary flow. There are so many applications where the helical coil is used such as heating ventilation and air conditioning applications, steam generators used in steam power plants, in condenser’s, the reason behind using helical tube is it provides large surface area per unit volume. In the presented work the heat transfer coefficient (hi) for inside and heat transfer coefficient (ho) for outside from the different research paper were studied and compared. For the calculation of heat transfer coefficient MATLAB code is developed for the same. The values of heat transfer coefficient for inner side has agreement between each other, however outside heat transfer coefficient has no agreement is found. Computational fluid dynamics is used for the simulation and results were compared with experimental and they found in close agreement.
螺旋盘管换热器CFD分析
由于二次流的发展,螺旋盘管换热器具有比管壳式换热器更好的换热速率。螺旋盘管在很多应用中都有使用,比如加热通风和空调应用,蒸汽发电厂使用的蒸汽发生器,在冷凝器中,使用螺旋管的原因是它提供了单位体积的大表面积。本文对不同研究论文的内部换热系数hi和外部换热系数ho进行了研究和比较。对于换热系数的计算,编写了MATLAB程序。内部换热系数的取值一致,而外部换热系数的取值不一致。采用计算流体力学方法进行了数值模拟,并与实验结果进行了比较,结果吻合较好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Philippine Statistician
Philippine Statistician Mathematics-Statistics and Probability
CiteScore
0.50
自引率
0.00%
发文量
92
期刊介绍: The Journal aims to provide a media for the dissemination of research by statisticians and researchers using statistical method in resolving their research problems. While a broad spectrum of topics will be entertained, those with original contribution to the statistical science or those that illustrates novel applications of statistics in solving real-life problems will be prioritized. The scope includes, but is not limited to the following topics:  Official Statistics  Computational Statistics  Simulation Studies  Mathematical Statistics  Survey Sampling  Statistics Education  Time Series Analysis  Biostatistics  Nonparametric Methods  Experimental Designs and Analysis  Econometric Theory and Applications  Other Applications
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