Thermal Performance Prediction of Metal-Foam Heat Sink Using Genetic Algorithm Driven Neural Network-Reference-Cited by-同舟云学术

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Thermal Performance Prediction of Metal-Foam Heat Sink Using Genetic Algorithm Driven Neural Network

Published:2023-12-01 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE 2nd International Conference on Data, Decision and Systems (ICDDS)
language:
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Author:

K Chandan¹,Singh Rimjhim Padam²,Nagaraja K V¹,Kumar Priyanka³

Affiliation:

1. Amrita School of Engineering, Bengaluru,Dept. of Mathematics,India

2. Amrita School of Computing, Bengaluru,Department of Computer Science and Engineering,India

3. University of Texas at San Antonio,Department of Computer Science,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10433944/10434309/10434506.pdf?arnumber=10434506

Reference15 articles.

1. Enhancing thermal-hydraulic performance of counter flow mini-channel heat sinks utilizing secondary flow: Numerical study with experimental validation

2. An experimental investigation of the effect of multiple inlet restrictors on the heat transfer and pressure drop in a flow boiling microchannel heat sink

3. Review of applications and developments of ultra-thin micro heat pipes for electronic cooling

4. Experimental investigation of the impact of geometrical surface modification on spray cooling heat transfer performance in the non-boiling regime

5. Heat transfer characteristics of synthetic jet impingement cooling

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