Optimizing flow properties of the different nanofluids inside a circular tube by using entropy generation minimization approach
The use of nanofluids as working fluid is one of the represented methods in efficiency enhancement of various systems. One of the most important subjects in nanofluid utilization is finding the optimal conditions. In this study, the efforts have been made to find optimal condition of forced convecti...
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| Published in | Journal of thermal analysis and calorimetry Vol. 135; no. 1; pp. 801 - 811 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Cham
Springer International Publishing
01.01.2019
Springer Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1388-6150 1588-2926 |
| DOI | 10.1007/s10973-018-7276-x |
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| Abstract | The use of nanofluids as working fluid is one of the represented methods in efficiency enhancement of various systems. One of the most important subjects in nanofluid utilization is finding the optimal conditions. In this study, the efforts have been made to find optimal condition of forced convection nanofluid flow inside a circular tube. The flow is assumed turbulent, and optimization process is carried out for two metallic oxide nanoparticles (Al
2
O
3
, CuO) and one nonmetallic oxide nanoparticle (SiO
2
), dispersed in a 60:40% ethylene glycol/water base fluid. The optimization process has been performed based on the second law of thermodynamic and entropy generation minimization approach. The process has been focused on finding the optimal values for volume fraction, Reynolds number, diameter of particles and average flow temperature. Results show that two metallic oxide nanofluids generate less entropy compared with nonmetallic oxide nanofluid. In addition, comparing these two metallic oxide nanofluids, the maximum amount of total entropy generation is 20% lower when CuO nanoparticles added to the base fluid instead of Al
2
O
3
. |
|---|---|
| AbstractList | The use of nanofluids as working fluid is one of the represented methods in efficiency enhancement of various systems. One of the most important subjects in nanofluid utilization is finding the optimal conditions. In this study, the efforts have been made to find optimal condition of forced convection nanofluid flow inside a circular tube. The flow is assumed turbulent, and optimization process is carried out for two metallic oxide nanoparticles (Al2O3, CuO) and one nonmetallic oxide nanoparticle (SiO2), dispersed in a 60:40% ethylene glycol/water base fluid. The optimization process has been performed based on the second law of thermodynamic and entropy generation minimization approach. The process has been focused on finding the optimal values for volume fraction, Reynolds number, diameter of particles and average flow temperature. Results show that two metallic oxide nanofluids generate less entropy compared with nonmetallic oxide nanofluid. In addition, comparing these two metallic oxide nanofluids, the maximum amount of total entropy generation is 20% lower when CuO nanoparticles added to the base fluid instead of Al2O3. The use of nanofluids as working fluid is one of the represented methods in efficiency enhancement of various systems. One of the most important subjects in nanofluid utilization is finding the optimal conditions. In this study, the efforts have been made to find optimal condition of forced convection nanofluid flow inside a circular tube. The flow is assumed turbulent, and optimization process is carried out for two metallic oxide nanoparticles (Al.sub.2O.sub.3, CuO) and one nonmetallic oxide nanoparticle (SiO.sub.2), dispersed in a 60:40% ethylene glycol/water base fluid. The optimization process has been performed based on the second law of thermodynamic and entropy generation minimization approach. The process has been focused on finding the optimal values for volume fraction, Reynolds number, diameter of particles and average flow temperature. Results show that two metallic oxide nanofluids generate less entropy compared with nonmetallic oxide nanofluid. In addition, comparing these two metallic oxide nanofluids, the maximum amount of total entropy generation is 20% lower when CuO nanoparticles added to the base fluid instead of Al.sub.2O.sub.3. The use of nanofluids as working fluid is one of the represented methods in efficiency enhancement of various systems. One of the most important subjects in nanofluid utilization is finding the optimal conditions. In this study, the efforts have been made to find optimal condition of forced convection nanofluid flow inside a circular tube. The flow is assumed turbulent, and optimization process is carried out for two metallic oxide nanoparticles (Al 2 O 3 , CuO) and one nonmetallic oxide nanoparticle (SiO 2 ), dispersed in a 60:40% ethylene glycol/water base fluid. The optimization process has been performed based on the second law of thermodynamic and entropy generation minimization approach. The process has been focused on finding the optimal values for volume fraction, Reynolds number, diameter of particles and average flow temperature. Results show that two metallic oxide nanofluids generate less entropy compared with nonmetallic oxide nanofluid. In addition, comparing these two metallic oxide nanofluids, the maximum amount of total entropy generation is 20% lower when CuO nanoparticles added to the base fluid instead of Al 2 O 3 . |
| Audience | Academic |
| Author | Okati, V. Farzaneh-Gord, Mahmood Ebrahimi-Moghadam, Amir Lorenzini, Giulio Mohseni-Gharyehsafa, Behnam Ahmadi, Mohammad Hossein |
| Author_xml | – sequence: 1 givenname: Behnam surname: Mohseni-Gharyehsafa fullname: Mohseni-Gharyehsafa, Behnam organization: Faculty of Mechanical Engineering, Shahrood University of Technology – sequence: 2 givenname: Amir surname: Ebrahimi-Moghadam fullname: Ebrahimi-Moghadam, Amir email: amir_ebrahimi_051@mshdiau.ac.ir organization: Young Researchers and Elite Club, Mashhad Branch, Islamic Azad University – sequence: 3 givenname: V. surname: Okati fullname: Okati, V. organization: Faculty of Mechanical Engineering, Shahrood University of Technology, Faculty of Marine Engineering, Chabahar Maritime University – sequence: 4 givenname: Mahmood surname: Farzaneh-Gord fullname: Farzaneh-Gord, Mahmood organization: Faculty of Mechanical Engineering, Shahrood University of Technology – sequence: 5 givenname: Mohammad Hossein surname: Ahmadi fullname: Ahmadi, Mohammad Hossein email: mohammadhosein.ahmadi@gmail.com, mhosein.ahmadi@shahroodut.ac.ir organization: Faculty of Mechanical Engineering, Shahrood University of Technology – sequence: 6 givenname: Giulio surname: Lorenzini fullname: Lorenzini, Giulio organization: Dipartimento di Ingegneria e Architettura, Università degli Studi di Parma |
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| Copyright | Akadémiai Kiadó, Budapest, Hungary 2018 COPYRIGHT 2019 Springer Copyright Springer Nature B.V. 2019 |
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| Title | Optimizing flow properties of the different nanofluids inside a circular tube by using entropy generation minimization approach |
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