Modelling, Analysis and Entropy Generation Minimization of Al<sub>2</sub>O<sub>3</sub>-Ethylene Glycol Nanofluid Convective Flow inside a Tube
Entropy generation is always a matter of concern in a heat transfer system. It denotes the amount of energy lost as a result of irreversibility. As a result, it must be reduced. The present work considers an investigation on the turbulent forced convective heat transfer and entropy generation of Al&...
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MDPI AG
2022-04-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/9/3073 |
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| author | Sayantan Mukherjee Nawaf F. Aljuwayhel Sasmita Bal Purna Chandra Mishra Naser Ali |
| author_facet | Sayantan Mukherjee Nawaf F. Aljuwayhel Sasmita Bal Purna Chandra Mishra Naser Ali |
| author_sort | Sayantan Mukherjee |
| collection | DOAJ |
| description | Entropy generation is always a matter of concern in a heat transfer system. It denotes the amount of energy lost as a result of irreversibility. As a result, it must be reduced. The present work considers an investigation on the turbulent forced convective heat transfer and entropy generation of Al<sub>2</sub>O<sub>3</sub>-Ethylene glycol (EG) nanofluid inside a circular tube subjected to constant wall temperature. The study is focused on the development of an analytical framework by using mathematical models to simulate the characteristics of nanofluids in the as-mentioned thermal system. The simulated result is validated using published data. Further, Genetic algorithm (GA) and DIRECT algorithm are implemented to determine the optimal condition which yields minimum entropy generation. According to the findings, heat transfer increases at a direct proportion to the mass flow, Reynolds number (<i>Re</i>), and volume concentration of nanoparticles. Furthermore, as <i>Re</i> increases, particle concentration should be decreased in order to reduce total entropy generation (TEG) and to improve heat transfer rate of any given particle size. A minimal concentration of nanoparticles is required to reduce TEG when <i>Re</i> is maintained constant. The highest increase in TEG with nanofluids was 2.93 times that of basefluid. The optimum condition for minimum entropy generation is <i>Re</i> = 4000, nanoparticle size = 65 nm, volume concentration = 0.2% and mass flow rate = 0.54 kg/s. |
| first_indexed | 2024-03-10T04:12:56Z |
| format | Article |
| id | doaj.art-3f50554d8fe841d6a038df395f6c9ed3 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T04:12:56Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-3f50554d8fe841d6a038df395f6c9ed32023-11-23T08:06:09ZengMDPI AGEnergies1996-10732022-04-01159307310.3390/en15093073Modelling, Analysis and Entropy Generation Minimization of Al<sub>2</sub>O<sub>3</sub>-Ethylene Glycol Nanofluid Convective Flow inside a TubeSayantan Mukherjee0Nawaf F. Aljuwayhel1Sasmita Bal2Purna Chandra Mishra3Naser Ali4Thermal Engineering Research Laboratory (TRL), School of Mechanical Engineering, Kalinga Institute of Industrial Technology, KIIT Deemed to Be University, Bhubaneswar 751024, OR, IndiaMechanical Engineering Department, College of Engineering and Petroleum, Kuwait University, P.O. Box 5969, Safat 13060, KuwaitDepartment of Mechanical Engineering, Alliance College of Engineering and Design, Alliance University, Bengaluru 562106, KA, IndiaThermal Engineering Research Laboratory (TRL), School of Mechanical Engineering, Kalinga Institute of Industrial Technology, KIIT Deemed to Be University, Bhubaneswar 751024, OR, IndiaNanotechnology and Advanced Materials Program, Energy and Building Research Center, Kuwait Institute for Scientific Research, P.O. Box 24885, Safat 13109, KuwaitEntropy generation is always a matter of concern in a heat transfer system. It denotes the amount of energy lost as a result of irreversibility. As a result, it must be reduced. The present work considers an investigation on the turbulent forced convective heat transfer and entropy generation of Al<sub>2</sub>O<sub>3</sub>-Ethylene glycol (EG) nanofluid inside a circular tube subjected to constant wall temperature. The study is focused on the development of an analytical framework by using mathematical models to simulate the characteristics of nanofluids in the as-mentioned thermal system. The simulated result is validated using published data. Further, Genetic algorithm (GA) and DIRECT algorithm are implemented to determine the optimal condition which yields minimum entropy generation. According to the findings, heat transfer increases at a direct proportion to the mass flow, Reynolds number (<i>Re</i>), and volume concentration of nanoparticles. Furthermore, as <i>Re</i> increases, particle concentration should be decreased in order to reduce total entropy generation (TEG) and to improve heat transfer rate of any given particle size. A minimal concentration of nanoparticles is required to reduce TEG when <i>Re</i> is maintained constant. The highest increase in TEG with nanofluids was 2.93 times that of basefluid. The optimum condition for minimum entropy generation is <i>Re</i> = 4000, nanoparticle size = 65 nm, volume concentration = 0.2% and mass flow rate = 0.54 kg/s.https://www.mdpi.com/1996-1073/15/9/3073nanofluidentropy generationoptimizationgenetic algorithmDIRECT algorithm |
| spellingShingle | Sayantan Mukherjee Nawaf F. Aljuwayhel Sasmita Bal Purna Chandra Mishra Naser Ali Modelling, Analysis and Entropy Generation Minimization of Al<sub>2</sub>O<sub>3</sub>-Ethylene Glycol Nanofluid Convective Flow inside a Tube Energies nanofluid entropy generation optimization genetic algorithm DIRECT algorithm |
| title | Modelling, Analysis and Entropy Generation Minimization of Al<sub>2</sub>O<sub>3</sub>-Ethylene Glycol Nanofluid Convective Flow inside a Tube |
| title_full | Modelling, Analysis and Entropy Generation Minimization of Al<sub>2</sub>O<sub>3</sub>-Ethylene Glycol Nanofluid Convective Flow inside a Tube |
| title_fullStr | Modelling, Analysis and Entropy Generation Minimization of Al<sub>2</sub>O<sub>3</sub>-Ethylene Glycol Nanofluid Convective Flow inside a Tube |
| title_full_unstemmed | Modelling, Analysis and Entropy Generation Minimization of Al<sub>2</sub>O<sub>3</sub>-Ethylene Glycol Nanofluid Convective Flow inside a Tube |
| title_short | Modelling, Analysis and Entropy Generation Minimization of Al<sub>2</sub>O<sub>3</sub>-Ethylene Glycol Nanofluid Convective Flow inside a Tube |
| title_sort | modelling analysis and entropy generation minimization of al sub 2 sub o sub 3 sub ethylene glycol nanofluid convective flow inside a tube |
| topic | nanofluid entropy generation optimization genetic algorithm DIRECT algorithm |
| url | https://www.mdpi.com/1996-1073/15/9/3073 |
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