Artificial Neural Network-Based Investigation of Zirconium Diboride Nanoparticles Reinforced in an Aluminium Alloy Matrix-Reference-Cited by-同舟云学术

Artificial Neural Network-Based Investigation of Zirconium Diboride Nanoparticles Reinforced in an Aluminium Alloy Matrix

Published:2024-01-29 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)
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Author:

Raj P. Marshal¹,Vennila Dr C²,Kannan N K Dr Anush³,Sasikala R.⁴,Anandaram Dr Harishchander⁵,Alagarsamy Manjunathan⁶

Affiliation:

1. Jai Shriram Engineering College Avinashipalayam,Department of Mechanical Engineering,Tiruppur,Tamil Nadu,India,638660

2. Alagappa Chettiar Government College of Engineering and Technology,Department of Electrical and Electronics Engineering,Karaikudi,Tamilnadu,India,630003

3. Kathir College of Engineering,Department of ECE,Coimbatore,Tamilnadu,India,641062

4. Karpagam College of Engineering,Department of Cyber Security,Coimbatore,Tamilnadu,India,641032

5. Amrita School of Artificial Intelligence, Coimbatore, Amrita Vishwa Vidyapeetham,India

6. K.Ramakrishnan College of Technology,Department of Electronics and Communication Engineering,Trichy,Tamilnadu,India,621112

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10470457/10470444/10470783.pdf?arnumber=10470783

Reference20 articles.

1. Mechanical, wear, and drop load impact behavior of glass/ Caryota urens hybridized fiber‐reinforced nanoclay/ SiC toughened epoxy multihybrid composite

2. High stress abrasive wear characteristics of Al 7075 alloy and 7075/Al2O3 composite

3. Tool wear, surface roughness, cutting temperature and chips morphology evaluation of Al/TiN coated carbide cutting tools in milling of Cu–B–CrC based ceramic matrix composites

4. Recent developments in hybrid aluminium metal matrix composites: A review

5. Mechanical, wear, and dielectric properties of opuntia cladode fiber and pearl millet biochar-reinforced epoxy composite