Prediction of heat exchanger efficiency using laminar heat transfer in swirling flow of radiated graphene oxide with nano fluid additives using machine learning technique-Reference-Cited by-同舟云学术

Prediction of heat exchanger efficiency using laminar heat transfer in swirling flow of radiated graphene oxide with nano fluid additives using machine learning technique

Published:2024-07-17 Issue: Volume: Page:1-19
ISSN:1040-7790
Container-title:Numerical Heat Transfer, Part B: Fundamentals
language:en
Short-container-title:Numerical Heat Transfer, Part B: Fundamentals

Author:

Patil Shalini M.¹,Radhakrishnan Abilash²^ORCID,Pawar Sanjay R.³,Railis Dani Jermisha⁴,Barmavatu Praveen⁵

Affiliation:

1. Department of Mathematics, JSS Academy of Technical Education, Bengaluru, Karnataka, India

2. Maria College of Engineering and Technology, Trivandrum, Kerala, India

3. Mechanical Engineering Department, Bharati Vidyapeeth College of Engineering, Navi Mumbai, Maharashtra, India

4. Maria College of Engineering and Technology, Nagercoil, Tamil Nadu, India

5. Department of Mechanical Engineering, Faculty of Engineering, Universidad Tecnológica Metropolitana, Santiago, Chile

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10407790.2024.2377792

Reference29 articles.

1. A universal correlation for flow condensation heat transfer in horizontal tubes based on machine learning

2. Machine learning based prediction of heat transfer deterioration of supercritical fluid in upward vertical tubes

3. Effect of hydrocarbon condensation on fouling and heat exchange efficiency in EGR cooler

4. Heat transfer and exergy efficiency analysis of 60% water and 40% ethylene glycol mixture diamond nanofluids flow through a shell and helical coil heat exchanger

5. Applicability of mono-nanofluid and hybrid-nanofluid as a technique to improve the performance of solar still: A critical review

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