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Journals / Journal of Thermal Engineering / 2015 / Cilt: 1 - Sayı: 2

Multi-objective optimization of a three-dimensional internally finned tube based on Response Surface Methodology (RSM)

Ahmed Kadhim HUSSEİN
Pages
131–142
Publication Date
2015-02-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It was found that numerical and RSM can be applied for optimization of heat transfer analysis of internally finned tube.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In the present work, computational fluid dynamics (CFD) together with multi-objective optimization study of an internally finned tube has been performed using the response surface methodology (RSM).
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Key Findings & Data:For the optimization, the Box-Behnken of response surface methodology (RSM) is exploited from the Design Expert 7.0.0 software.
💡
Conclusion & Impact:It was found that numerical and RSM can be applied for optimization of heat transfer analysis of internally finned tube.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Response Su face Methodology (RSM) · Heat exchanger · Optimization

Abstract

In the present work, computational fluid dynamics (CFD) together with multi-objective optimization study of an internally finned tube has been performed using the response surface methodology (RSM). For the optimization, the Box-Behnken of response surface methodology (RSM) is exploited from the Design Expert 7.0.0 software. The effects of the fin height, fin width and the fin number on the heat transfer enhancement in the form of Nusselt number (Nu) and friction factor multiplied by Reynolds number (fRe) have been investigated. The results of the numerical model are compared with the analytical results for validation of the model. Finally a non-dominated sorting genetic algorithm (NSGA) has been proposed for the multi objective optimization of the responses. It was found that numerical and RSM can be applied for optimization of heat transfer analysis of internally finned tube. The results show that at the lower level of fin height, the Nusselt number has an increasing trend with the increase in fin number but decreases beyond fin number of 7. Similar trend is also observed at higher level of fin height. Moreover, it is found that the contribution of fin thickness, for variations of Nusselt number (Nu) and (fRe) , is not significant as compared to fin height and fin number

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Cite This Article

HUSSEİN, A. K. (2015). Multi-objective optimization of a three-dimensional internally finned tube based on Response Surface Methodology (RSM). Journal of Thermal Engineering, Cilt: 1 - Sayı: 2, 131–142. https://ajindex.com/articles/682191

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