IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v580y2021ics0378437119317121.html
   My bibliography  Save this article

Using finite volume method for simulating the natural convective heat transfer of nano-fluid flow inside an inclined enclosure with conductive walls in the presence of a constant temperature heat source

Author

Listed:
  • Ma, Yulin
  • Shahsavar, Amin
  • Moradi, Iman
  • Rostami, Sara
  • Moradikazerouni, Alireza
  • Yarmand, Hooman
  • Zulkifli, Nurin Wahidah Binti Mohd

Abstract

In the present work, natural convective heat transfer of water/Al2O3 nano-fluid in an inclined square enclosure is investigated. The side walls of the cavity are cold and the upper and lower ones are insulated. A wall with a thermal-conductivity of 100 and a thickness of 0.5 is located on the cold walls. Moreover, there is a constant temperature heat source in the center of the enclosure. The enclosure is located under the influence of an inclined magnetic field (MF). The governing equations were solved using the finite volume method (FVM) and solved using the SIMPLE algorithm. The results show that the heat transfer rate intensifies up to 3.11 times with intensifying the Rayleigh number (Ra). The maximum heat transfer occurred at weak magnetic fields. By augmenting the angle of the enclosure, the heat transfer rate on the right and left walls intensifies by 33% and declines by 55%, respectively. The heat transfer rate on the right wall intensifies by 14% by augmenting the angle of the MF. The addition of nano-additives also results in intensification in the heat transfer rate.

Suggested Citation

  • Ma, Yulin & Shahsavar, Amin & Moradi, Iman & Rostami, Sara & Moradikazerouni, Alireza & Yarmand, Hooman & Zulkifli, Nurin Wahidah Binti Mohd, 2021. "Using finite volume method for simulating the natural convective heat transfer of nano-fluid flow inside an inclined enclosure with conductive walls in the presence of a constant temperature heat sour," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    • Handle: RePEc:eee:phsmap:v:580:y:2021:i:c:s0378437119317121
    DOI: 10.1016/j.physa.2019.123035
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437119317121
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2019.123035?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alsarraf, Jalal & Moradikazerouni, Alireza & Shahsavar, Amin & Afrand, Masoud & Salehipour, Hamzeh & Tran, Minh Duc, 2019. "Hydrothermal analysis of turbulent boehmite alumina nanofluid flow with different nanoparticle shapes in a minichannel heat exchanger using two-phase mixture model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 275-288.
    2. Shahsavar, Amin & Al-Rashed, Abdullah A.A.A. & Entezari, Sajad & Sardari, Pouyan Talebizadeh, 2019. "Melting and solidification characteristics of a double-pipe latent heat storage system with sinusoidal wavy channels embedded in a porous medium," Energy, Elsevier, vol. 171(C), pages 751-769.
    3. Safaei, Mohammad Reza & Karimipour, Arash & Abdollahi, Ali & Nguyen, Truong Khang, 2018. "The investigation of thermal radiation and free convection heat transfer mechanisms of nanofluid inside a shallow cavity by lattice Boltzmann method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 515-535.
    4. Al-Rashed, Abdullah A.A.A. & Ranjbarzadeh, Ramin & Aghakhani, Saeed & Soltanimehr, Mehdi & Afrand, Masoud & Nguyen, Truong Khang, 2019. "Entropy generation of boehmite alumina nanofluid flow through a minichannel heat exchanger considering nanoparticle shape effect," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 724-736.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Moghadam, Iman Panahi & Afrand, Masoud & Hamad, Samir M. & Barzinjy, Azeez A. & Talebizadehsardari, Pouyan, 2020. "Curve-fitting on experimental data for predicting the thermal-conductivity of a new generated hybrid nanofluid of graphene oxide-titanium oxide/water," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 548(C).
    2. Chen, Zhixiong & Ashkezari, Abbas Zarenezhad & Tlili, Iskander, 2020. "Applying artificial neural network and curve fitting method to predict the viscosity of SAE50/MWCNTs-TiO2 hybrid nanolubricant," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 549(C).
    3. Ruiqing Du & Dandan Jiang & Yong Wang, 2020. "Numerical Investigation of the Effect of Nanoparticle Diameter and Sphericity on the Thermal Performance of Geothermal Heat Exchanger Using Nanofluid as Heat Transfer Fluid," Energies, MDPI, vol. 13(7), pages 1-18, April.
    4. Hajmohammadi, M.R. & Haji Molla Ali Tork, M.H., 2019. "Effects of the magnetic field on the cylindrical Couette flow and heat transfer of a nanofluid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 234-245.
    5. Xinguo Sun & Jasim M. Mahdi & Hayder I. Mohammed & Hasan Sh. Majdi & Wang Zixiong & Pouyan Talebizadehsardari, 2021. "Solidification Enhancement in a Triple-Tube Latent Heat Energy Storage System Using Twisted Fins," Energies, MDPI, vol. 14(21), pages 1-23, November.
    6. Bahrami, Mehrdad & Akbari, Mohammad & Bagherzadeh, Seyed Amin & Karimipour, Arash & Afrand, Masoud & Goodarzi, Marjan, 2019. "Develop 24 dissimilar ANNs by suitable architectures & training algorithms via sensitivity analysis to better statistical presentation: Measure MSEs between targets & ANN for Fe–CuO/Eg–Water nanofluid," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 519(C), pages 159-168.
    7. Zeeshan & Attaullah & N. Ameer Ahammad & Nehad Ali Shah & Jae Dong Chung, 2023. "A Numerical Framework for Entropy Generation Using Second-Order Nanofluid Thin Film Flow over an Expanding Sheet: Error Estimation and Stability Analysis," Mathematics, MDPI, vol. 11(5), pages 1-26, February.
    8. Alsarraf, Jalal & Moradikazerouni, Alireza & Shahsavar, Amin & Afrand, Masoud & Salehipour, Hamzeh & Tran, Minh Duc, 2019. "Hydrothermal analysis of turbulent boehmite alumina nanofluid flow with different nanoparticle shapes in a minichannel heat exchanger using two-phase mixture model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 275-288.
    9. Zhu, Yanlong & Lu, Jie & Yuan, Yuan & Wang, Fuqiang & Tan, Heping, 2020. "Effect of radiation on the effective thermal conductivity of encapsulated capsules containing high-temperature phase change materials," Renewable Energy, Elsevier, vol. 160(C), pages 676-685.
    10. Sardari, Pouyan Talebizadeh & Mohammed, Hayder I. & Giddings, Donald & walker, Gavin S. & Gillott, Mark & Grant, David, 2019. "Numerical study of a multiple-segment metal foam-PCM latent heat storage unit: Effect of porosity, pore density and location of heat source," Energy, Elsevier, vol. 189(C).
    11. Ma, Yuan & Mohebbi, Rasul & Rashidi, M.M. & Yang, Zhigang & Sheremet, Mikhail, 2020. "Nanoliquid thermal convection in I-shaped multiple-pipe heat exchanger under magnetic field influence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
    12. Mahyari, Amirhossein Ansari & Karimipour, Arash & Afrand, Masoud, 2019. "Effects of dispersed added Graphene Oxide-Silicon Carbide nanoparticles to present a statistical formulation for the mixture thermal properties," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 98-112.
    13. Gilani, Hooman Azad & Hoseinzadeh, Siamak & Esmaeilion, Farbod & Memon, Saim & Garcia, Davide Astiaso & Assad, Mamdouh El Haj, 2022. "A solar thermal driven ORC-VFR system employed in subtropical Mediterranean climatic building," Energy, Elsevier, vol. 250(C).
    14. Sathishkumar, A. & Cheralathan, M., 2023. "Charging and discharging processes of low capacity nano-PCM based cool thermal energy storage system: An experimental study," Energy, Elsevier, vol. 263(PB).
    15. Li, Zhixiong & Sheikholeslami, M. & Ayani, M. & Shamlooei, M. & Shafee, Ahmad & Waly, Mohamed Ibrahim & Tlili, I., 2019. "Acceleration of solidification process by means of nanoparticles in an energy storage enclosure using numerical approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 540-552.
    16. Shahsavar, Amin & Majidzadeh, Amir Hossein & Mahani, Roohollah Babaei & Talebizadehsardari, Pouyan, 2021. "Entropy and thermal performance analysis of PCM melting and solidification mechanisms in a wavy channel triplex-tube heat exchanger," Renewable Energy, Elsevier, vol. 165(P2), pages 52-72.
    17. Alnaqi, Abdulwahab A. & Sayyad Tavoos Hal, Sina & Aghaei, Alireza & Soltanimehr, Mehdi & Afrand, Masoud & Nguyen, Truong Khang, 2019. "Predicting the effect of functionalized multi-walled carbon nanotubes on thermal performance factor of water under various Reynolds number using artificial neural network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 493-500.
    18. Shahsavar, Amin & Bagherzadeh, Seyed Amin & Mahmoudi, Boshra & Hajizadeh, Ahmad & Afrand, Masoud & Nguyen, Truong Khang, 2019. "Robust Weighted Least Squares Support Vector Regression algorithm to estimate the nanofluid thermal properties of water/graphene Oxide–Silicon carbide mixture," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1418-1428.
    19. Chen, Xue & Li, Xiaolei & Xia, Xinlin & Sun, Chuang & Liu, Rongqiang, 2021. "Thermal storage analysis of a foam-filled PCM heat exchanger subjected to fluctuating flow conditions," Energy, Elsevier, vol. 216(C).
    20. Huang, Sheng & Lu, Jun & Li, Yongcai, 2022. "Numerical study on the influence of inclination angle on the melting behaviour of metal foam-PCM latent heat storage units," Energy, Elsevier, vol. 239(PE).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:580:y:2021:i:c:s0378437119317121. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.