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Application and CFD-Based Optimization of a Novel Porous Object for Confined Slot Jet Impingement Cooling Systems under a Magnetic Field

Author

Listed:
  • Walid Aich

    (Department of Mechanical Engineering, College of Engineering, University of Ha’il, Ha’il City 81451, Saudi Arabia)

  • Fatih Selimefendigil

    (Department of Mechanical Engineering, Celal Bayar University, 45140 Manisa, Turkey)

  • Badreddine Ayadi

    (Department of Mechanical Engineering, College of Engineering, University of Ha’il, Ha’il City 81451, Saudi Arabia
    Laboratory of Applied Fluid Mechanics, Environment and Process Engineering “LR11ES57”, National School of Engineers of Sfax (ENIS), University of Sfax, Route Soukra Km 3.5, Sfax 3038, Tunisia)

  • Lotfi Ben Said

    (Department of Mechanical Engineering, College of Engineering, University of Ha’il, Ha’il City 81451, Saudi Arabia)

  • Badr M. Alshammari

    (Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il City 81451, Saudi Arabia)

  • Lioua Kolsi

    (Department of Mechanical Engineering, College of Engineering, University of Ha’il, Ha’il City 81451, Saudi Arabia
    Laboratory of Metrology and Energy Systems, Energy Engineering Department, National Engineering School, University of Monastir, Monastir 5000, Tunisia)

  • Sid Ali Betrouni

    (Department of Mechanical Engineering, College of Engineering, University of Ha’il, Ha’il City 81451, Saudi Arabia)

  • Hatem Gasmi

    (Department of Civil Engineering, College of Engineering, University of Ha’il, Ha’il City 81451, Saudi Arabia)

Abstract

A novel porous object for the control of the convective heat transfer of confined slot nanojet impingement is offered under magnetic field effects, while optimization-assisted computational fluid dynamics is used to find the best working conditions to achieve the best performance of the system. The flow, thermal patterns, and heat transfer characteristics were influenced by the variation in rotational Reynolds number (Rew), Hartmann number (Ha), permeability of the porous object (Da) and its location (Mx). There was a 14.5% difference in the average Nusselt number (Nu) at the highest Rew when motionless object configuration at Ha = 5 was compared, while it was less than 2% at Ha = 25. At Rew = −600, the average Nu variation was 22% when cases with the lowest and highest magnetic field strength were compared. The porous object provides an excellent tool for convective heat transfer control, while the best performance was achieved by using optimization-assisted computational fluid dynamics. The optimal sets of (Rew, Da, Mx, AR) for porous object were (−315.97, 0.0188, −1.456, 0.235), (−181.167, 0.0167, −1.441, 0.2), and (−483.13, 0.0210, −0.348, 0.2) at Ha = 5, 10, and 25, respectively. At the optimal operating point, the local Nu enhancements were 19.46%, 44.86%, and −0.54% at Ha = 5, 10, and 15, respectively, when the no-object case was compared, while the average values were 7.87%, 8.09% and 5.04%.

Suggested Citation

  • Walid Aich & Fatih Selimefendigil & Badreddine Ayadi & Lotfi Ben Said & Badr M. Alshammari & Lioua Kolsi & Sid Ali Betrouni & Hatem Gasmi, 2022. "Application and CFD-Based Optimization of a Novel Porous Object for Confined Slot Jet Impingement Cooling Systems under a Magnetic Field," Mathematics, MDPI, vol. 10(15), pages 1-21, July.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:15:p:2578-:d:871040
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    References listed on IDEAS

    as
    1. Nidhal Ben Khedher & Fatih Selimefendigil & Lioua Kolsi & Walid Aich & Lotfi Ben Said & Ismail Boukholda, 2022. "Performance Optimization of a Thermoelectric Device by Using a Shear Thinning Nanofluid and Rotating Cylinder in a Cavity with Ventilation Ports," Mathematics, MDPI, vol. 10(7), pages 1-20, March.
    2. Nor Azizah Yacob & Nor Fadhilah Dzulkifli & Siti Nur Alwani Salleh & Anuar Ishak & Ioan Pop, 2021. "Rotating Flow in a Nanofluid with CNT Nanoparticles over a Stretching/Shrinking Surface," Mathematics, MDPI, vol. 10(1), pages 1-20, December.
    3. José Luis Díaz & Saeed Rahman & Juan Miguel García-Haro, 2021. "Heterogeneous Diffusion, Stability Analysis, and Solution Profiles for a MHD Darcy–Forchheimer Model," Mathematics, MDPI, vol. 10(1), pages 1-14, December.
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