Artificial neural network approach to simulate the impact of concentration in optimizing heat transfer rate on water-based hybrid nanofluid under slip conditions: A regression analysis-Reference-Cited by-同舟云学术

Artificial neural network approach to simulate the impact of concentration in optimizing heat transfer rate on water-based hybrid nanofluid under slip conditions: A regression analysis

Published:2024-04 Issue: Volume: Page:1-23
ISSN:1040-7790
Container-title:Numerical Heat Transfer, Part B: Fundamentals
language:en
Short-container-title:Numerical Heat Transfer, Part B: Fundamentals

Author:

Panda Subhajit¹^ORCID,Baag Arun Prakash²,Pattnaik P.K³^ORCID,Baithalu Rupa⁴^ORCID,Mishra S.R⁴^ORCID

Affiliation:

1. Centre for Data Science, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India

2. Product Engineering, Jaguar Landrover Limited, Whitley, Coventry, UK

3. Department of Mathematics, Odisha University of Technology and Research, Bhubaneswar, Odisha, India

4. Department of Mathematics, Siksha ‘O’ Anusandhan Deemed to be University, Bhubaneswar, Odisha, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10407790.2024.2333944

Reference34 articles.

1. Enhanced photothermal conversion performance of MWCNT/SiC hybrid aqueous nanofluids in direct absorption solar collectors

2. Heat and mass transfer analysis of nonlinear mixed convective hybrid nanofluid flow with multiple slip boundary conditions

3. Entropy generation in electromagnetohydrodynamic water based three Nano fluids via porous asymmetric microchannel

4. Design and performance evaluation of pulsating heat pipe using metallic nanoparticles based hybrid nanofluids

5. Thermal radiation of viscoelastic-based micropolar nanofluid with MHD effects on boundary layer

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