Paper Title

Performance Improvement Research Of Coil Heat Exchanger using CFD

Authors

Nithin V K

Keywords

coil turn, helical heat exchanger, heat transfer coefficient, multi-fin shape, nanofluid, fin head

Abstract

The heat transfer coefficient of heat exchangers is improved by using nanofluids. Therefore, in recent years, researchers have paid more and more attention to the use of nanofluids in heat exchangers. Very few studies have been performed on multi-fin geometries using spiral heat exchangers loaded with nanofluids. In this review, we consider a study of numerical investigation of the heat transfer performance of coil heat exchangers using various water-based nanofluids with different numbers of coil turns. In order to identify the most efficient heat exchanger design under various heating conditions, a total of nine cases are first prepared and the numerical results are validated against experimental correlations. A two-head waveform and thirty spool rotations using various water-based nanofluids with a nanofluid concentration of four percentage was found to be the most effective of all cases[1]. The heat transfer coefficient increases with increasing coil turns and decreasing number of fin heads.

How To Cite

"Performance Improvement Research Of Coil Heat Exchanger using CFD", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 9, page no.1060 - 1082, September-2022, Available :https://ijsdr.org/papers/IJSDR2209172.pdf

Issue

Volume 7 Issue 9, September-2022

Pages : 1060 - 1082

Other Publication Details

Paper Reg. ID: IJSDR_201951

Published Paper Id: IJSDR2209172

Downloads: 000347208

Research Area: Mechanical Engineering 

Country: Thrissur, Kerala, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2209172

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2209172

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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