Characterization of Cr-TiB <sub>2</sub> composite coating on AISI 1045 steel using hybrid deep neural network-based sandpiper optimization algorithm-Reference-Cited by-同舟云学术

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Characterization of Cr-TiB ₂ composite coating on AISI 1045 steel using hybrid deep neural network-based sandpiper optimization algorithm

Published:2024-06-26 Issue: Volume: Page:1-27
ISSN:0924-3046
Container-title:Advanced Composite Materials
language:en
Short-container-title:Advanced Composite Materials

Author:

G.D Wenish¹,K Arumuganainar²,N Sivakumar³

Affiliation:

1. Department of Mechanical Engineering, Ponjesly College of Engineering, Nagercoil, India

2. Department of Mechanical Engineering, JP College of Engineering, Tenkasi, India

3. Department of Mechanical Engineering, A.M.C Engineering College, Bengaluru, India

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/09243046.2024.2355414

Reference46 articles.

1. Effects of induction hardened surface depth on the dynamic behavior of rotating shaft systems

2. Co3O4 Based All-Oxide PV: A Numerical Simulation Analyzed Combinatorial Material Science Study

3. Sustainable material selection for construction industry – A hybrid multi criteria decision making approach

4. Evolution of conventional hard coatings for its use on cutting tools

5. Study of knowledge-based system (KBS) and decision making methodologies in materials selection for lightweight aircraft metallic structures;Adhikari PR;J Appl Sci Eng Technol,2017

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