Al<sub>2</sub>O<sub>3</sub>-CO<sub>2</sub> Nanofluid Transport Properties: A Molecular Dynamics Study and Machine Learning Predictive Modelling-Reference-Cited by-同舟云学术

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Al₂O₃-CO₂ Nanofluid Transport Properties: A Molecular Dynamics Study and Machine Learning Predictive Modelling

Published:2022-12-23 Issue: Volume: Page:1-15
ISSN:0145-7632
Container-title:Heat Transfer Engineering
language:en
Short-container-title:Heat Transfer Engineering

Author:

Ahmed Zeeshan¹,Parida Satyajeet²,Ranjit Pasupuleti Subrahmanya¹,Singh Vivek Kumar³

Affiliation:

1. Department of Mechanical Engineering, Aditya Engineering College, Surampalem, Andhra Pradesh, India

2. Department of Mining Engineering, Aditya Engineering College, Surampalem, Andhra Pradesh, India

3. Thermal Engineering Division, Space Applications Centre, Ahmedabad, Gujarat, India

Publisher

Informa UK Limited

Subject

Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics

Link

https://www.tandfonline.com/doi/pdf/10.1080/01457632.2022.2148345

Reference44 articles.

1. An applicable study on the thermal conductivity of SWCNT-MgO hybrid nanofluid and price-performance analysis for energy management

2. Experimental study of thermal conductivity, heat transfer and friction factor of Al 2 O 3 based nanofluid

3. A Review on the Mechanisms of Heat Transport in Nanofluids

4. A review on the approaches applied for cooling fuel cells

5. Energy and exergy comparison of a flat-plate solar collector using water, Al2O3 nanofluid, and CuO nanofluid

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Innovative simulation of Al2O3 nanofluid heat transfer using advanced machine learning methods;Thermal Science;2024

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