Multi-objective optimization of helically coiled tube heat exchanger based on entropy generation theory

Han, Yong; Wang, Xuesheng; Zhang, Haonan; Chen, Qin-zhu; Zhang, Zhao

doi:10.1016/j.ijthermalsci.2019.106150

Cited by 34 publications

(5 citation statements)

References 43 publications

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“…A large number of studies have shown that the optimization method coupled with RSM and MOGA has been widely used in the design and optimization of heat exchangers. − Thianpong et al used the grouped method of data handling (GMDH) models and the nondominated sorted genetic algorithm-II (NSGA-II) to optimize the hydrothermal performance of heat exchange tubes with rotors, and obtained the optimal boundary of experimental data according to the minimum friction coefficient and maximum Nusselt number. Wang et al adopted RSM combined with MOGA to optimize the structure of shell-and-tube heat exchangers.…”

Section: Introductionmentioning

confidence: 99%

Particulate Fouling Analysis and Optimization of Heat Transfer Tubes Inserted with a Self-Rotating Rotor Coupled with RSM and MOGA

Xie,

Wu,

Wang

et al. 2024

Ind. Eng. Chem. Res.

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Particulate fouling, a typical scaling formation in heat transfer tubes, is a crucial cause of pipe clogging and thermal efficiency reduction. We innovatively proposed a new type of self-rotating rotor inserted into tubes to improve the antifouling performance and employed the Eulerian−Eulerian model incorporating an empirical fouling model that accounted for both particle deposition and removal mechanisms. Additionally, we utilized the multiple reference frame (MRF) model to simulate the rotation of the self-rotating rotor at various flow rates. To investigate the influence of the configuration parameters and optimize the thermal and antifouling performance of the self-rotating rotor, we combined the response surface method (RSM) with a multiobjective genetic algorithm (MOGA). First, we observed that the temperature increment initially increased and then decreased with increasing in velocity. Moreover, the temperature increment initially decreases and then increases with an increase in the width of the rotor, and it decreases as the pitch of the rotor increases. The fouling resistance decreases with increasing velocity, while the relationship between fouling resistance and width/pitch varies with velocity. To determine the sensitivity of the temperature increment and fouling resistance to the configuration parameters, we conducted local sensitivity analyses, demonstrating that pitch had the most significant effect on the temperature increment, followed by velocity, while width exhibited the least influence. Furthermore, the fouling resistance was found to be highly sensitive to changes in velocity with a sensitivity value of −96.01%. Based on Pareto set analysis, we identified an optimal configuration that resulted in a 9.4% enhancement in the temperature increment and a 59.3% reduction in fouling resistance. These findings can serve as valuable references for the selection and design of self-rotating rotors.

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Section: Introductionmentioning

confidence: 99%

Particulate Fouling Analysis and Optimization of Heat Transfer Tubes Inserted with a Self-Rotating Rotor Coupled with RSM and MOGA

Xie,

Wu,

Wang

et al. 2024

Ind. Eng. Chem. Res.

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“…Noruozi et al 19 studied local entropy generation distribution in pillow plate heat exchangers through numerical simulation. Han et al 20 obtained the optimized helically coiled tube's structure by analyzing the heat exchanger entropy generation number. In addition, Geete et al 21 conducted numerical simulation and entropic analysis on the double‐pipe heat exchanger to optimize the heat transfer performance through the tube's surface roughness and material and the cold fluid selection.…”

Section: Introductionmentioning

confidence: 99%

Matrixed modeling method and entropy generation minimization analysis of heat supply system based on standard thermal resistance

Liang

Hao

et al. 2022

Energy Science & Engineering

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Complex implicit expressions and many intermediate parameters are not conducive to the application of entropy generation optimization to the performance of thermal and energy systems from component and system perspectives. In this paper, we derived matrix heat transport equations of three primary heat exchanger networks according to the heat current method. Based on the matrix equations, we established the matrixed model of a typical heat supply system and obtained the corresponding matrix equation reflecting the power topology structure of the system. Moreover, we derived and reconstructed a single heat exchanger's entropy generation rate expression based on the standard thermal resistance, which was only related to inlet temperatures, structural parameters, and operating parameters. The total system entropy generation rate was then derived and minimized by the Lagrange multiplier method. The optimization results provided the optimal distribution of the mass flow rate of each fluid. Besides, the influence of the heat transfer rate and outer loop inlet temperature on the optimization results revealed that local equipment parameters and conditions could affect the system's minimum entropy generation. The total entropy generation rate decreases by 17.5% when the outer loop inlet temperature was increased from 274 to 280 K. In conclusion, the matrixed modeling and entropy generation analysis are feasible for thermal system modeling and optimization.

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“…Recently, many researchers focused on entropy generation investigation in heat exchangers. Han et al [23] used a multi-objective optimization for a helically coiled tube heat exchanger for entropy production. They reported that the entropy generation number (EGN) did not always correspond to the flow resistance.…”

Section: Introductionmentioning

confidence: 99%

Effects of CuO nano powder on performance improvement and entropy production of double-pipe heat exchanger with innovative perforated turbulators

Nakhchi

Hatami

Rahmati

2021

Advanced Powder Technology

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Multi-objective optimization of helically coiled tube heat exchanger based on entropy generation theory

Cited by 34 publications

References 43 publications

Particulate Fouling Analysis and Optimization of Heat Transfer Tubes Inserted with a Self-Rotating Rotor Coupled with RSM and MOGA

Particulate Fouling Analysis and Optimization of Heat Transfer Tubes Inserted with a Self-Rotating Rotor Coupled with RSM and MOGA

Matrixed modeling method and entropy generation minimization analysis of heat supply system based on standard thermal resistance

Effects of CuO nano powder on performance improvement and entropy production of double-pipe heat exchanger with innovative perforated turbulators

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