Optimization of FX-70 refrigerant evaporative heat transfer and fluid flow characteristics inside the corrugated tubes using multi-objective genetic algorithm

Mirollah Hosseini; Hamid Hassanzadeh Afrouzi; Sina Yarmohammadi; Hossein Arasteh; Davood Toghraie; A. Jafarian Amiri; Arash Karimipour

doi:10.1016/j.cjche.2020.05.036

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Optimization of FX-70 refrigerant evaporative heat transfer and fluid flow characteristics inside the corrugated tubes using multi-objective genetic algorithm

Chemical Engineering Thermodynamics | Updated：2026-01-06

- Optimization of FX-70 refrigerant evaporative heat transfer and fluid flow characteristics inside the corrugated tubes using multi-objective genetic algorithm
- Chinese Journal of Chemical Engineering Vol. 28, Issue 8, Pages: 2142-2151(2020)
- Affiliations：
  
  1. Department of Mechanical Engineering, Islamic Azad University, Qaemshahr Branch, Qaemshahr, Mazandaran,Iran
  2. Faculty of Mechanical Engineering, Babol Noshirvani University of Technology, Babol,Iran
  3. Department of Mechanical Engineering, Isfahan University of Technology, Isfahan,Iran
  4. Department of Mechanical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr,Iran
  5. Sustainable Management of Natural Resources and Environment Research Group, Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City,Vietnam
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2020.05.036
  CLC：
- Published：2020
- Accepted：
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Mirollah Hosseini, Hamid Hassanzadeh Afrouzi, Sina Yarmohammadi, Hossein Arasteh, Davood Toghraie, A. Jafarian Amiri, Arash Karimipour. Optimization of FX-70 refrigerant evaporative heat transfer and fluid flow characteristics inside the corrugated tubes using multi-objective genetic algorithm[J]. Chinese Journal of Chemical Engineering, 2020, 28(8): 2142-2151.
DOI：

Mirollah Hosseini, Hamid Hassanzadeh Afrouzi, Sina Yarmohammadi, Hossein Arasteh, Davood Toghraie, A. Jafarian Amiri, Arash Karimipour. Optimization of FX-70 refrigerant evaporative heat transfer and fluid flow characteristics inside the corrugated tubes using multi-objective genetic algorithm[J]. Chinese Journal of Chemical Engineering, 2020, 28(8): 2142-2151. DOI： 10.1016/j.cjche.2020.05.036.

摘要

Abstract

In this study

the heat transfer optimization (evaporation) and the specification of the FX-70 zeotropic refrigerant flow inside a corrugated pipe have been investigated. Despite the low HTC (HTC)

this type of refrigerant is highly applicable in low or medium temperature engineering systems during the evaporation process. To eliminate this defect

high turbulence and proper mixing are required. Therefore

using heat transfer (HT) augmentation methods will be necessary and effective. In order to find the most favorable operating conditions that lead to the optimum combination of pressure drop (PD) and HTC

empirical data

neural networks

and genetic algorithms (GA) for multi-objective (MO) (NSGA II) are used. To investigate the mentioned cases

the geometric parameters of corrugated pipes

vapor quality

and mass velocity of refrigerant were studied. The results showed that with vapor quality higher than 0.8 and corrugation depth and pitch of 1.5 and 7 mm

respectively

we would achieve the desired optimum design.

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