To read this content please select one of the options below:

RETRACTED: Turbulent flows in a spiral double-pipe heat exchanger: Optimal performance conditions using an enhanced genetic algorithm

Zhe Tian (School of Engineering, Ocean University of China, Qingdao, China)
Ali Abdollahi (Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Mahmoud Shariati (Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Atefeh Amindoust (Department of Industrial Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Hossein Arasteh (Department of Mechanical Engineering, Isfahan University of Technology, Isfahan, Iran)
Arash Karimipour (Department of Mechanical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran)
Marjan Goodarzi (Sustainable Management of Natural Resources and Environment Research Group, Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam)
Quang-Vu Bach (Sustainable Management of Natural Resources and Environment Research Group, Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam)

International Journal of Numerical Methods for Heat & Fluid Flow

ISSN: 0961-5539

Article publication date: 26 September 2019

Issue publication date: 15 January 2020

545
This article was retracted on 25 Jun 2024.

Retraction statement

The publishers of International Journal of Numerical Methods for Heat & Fluid Flow wish to retract the article Tian, Z., Abdollahi, A., Shariati, M., Amindoust, A., Arasteh, H., Karimipour, A., Goodarzi, M. and Bach, Q.-V. (2020), “Turbulent flows in a spiral double-pipe heat exchanger: Optimal performance conditions using an enhanced genetic algorithm”, International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 30 No. 1, pp. 39-53. https://doi.org/10.1108/HFF-04-2019-0287.

An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald's publishing ethics and the COPE guidelines on retractions.

The publishers of the journal sincerely apologize to the readers.

Abstract

Purpose

This paper aims to study the fluid flow and heat transfer through a spiral double-pipe heat exchanger. Nowadays using spiral double-pipe heat exchangers has become popular in different industrial segments due to its complex and spiral structure, which causes an enhancement in heat transfer.

Design/methodology/approach

In these heat exchangers, by converting the fluid motion to the secondary motion, the heat transfer coefficient is greater than that of the straight double-pipe heat exchangers and cause increased heat transfer between fluids.

Findings

The present study, by using the Fluent software and nanofluid heat transfer simulation in a spiral double-tube heat exchanger, investigates the effects of operating parameters including fluid inlet velocity, volume fraction of nanoparticles, type of nanoparticles and fluid inlet temperature on heat transfer efficiency.

Originality/value

After presenting the results derived from the fluid numerical simulation and finding the optimal performance conditions using a genetic algorithm, it was found that water–Al2O3 and water–SiO2 nanofluids are the best choices for the Reynolds numbers ranging from 10,551 to 17,220 and 17,220 to 31,910, respectively.

Keywords

Acknowledgements

The first author wants to acknowledge the following grants: NSFC (51709244), Taishan Scholar (tsqn201812025) and Fundamental Research Funds for the Central Universities (201941008).

Citation

Tian, Z., Abdollahi, A., Shariati, M., Amindoust, A., Arasteh, H., Karimipour, A., Goodarzi, M. and Bach, Q.-V. (2020), "RETRACTED: Turbulent flows in a spiral double-pipe heat exchanger: Optimal performance conditions using an enhanced genetic algorithm", International Journal of Numerical Methods for Heat & Fluid Flow, Vol. 30 No. 1, pp. 39-53. https://doi.org/10.1108/HFF-04-2019-0287

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

Related articles