An artificial neural network and Taguchi prediction on wear characteristics of <scp>Kenaf–Kevlar</scp> fabric reinforced hybrid polyester composites-Reference-Cited by-同舟云学术

An artificial neural network and Taguchi prediction on wear characteristics of Kenaf–Kevlar fabric reinforced hybrid polyester composites

Published:2022-09-12 Issue:1 Volume:44 Page:261-273
ISSN:0272-8397
Container-title:Polymer Composites
language:en
Short-container-title:Polymer Composites

Author:

Thimmaiah Sreenivas Huligere¹,Narayanappa Krishnamurthy¹,Thyavihalli Girijappa Yashas²,Gulihonenahali Rajakumara Arpitha³,Hemath Mohit⁴^ORCID,Thiagamani Senthil Muthu Kumar⁵^ORCID,Verma Akarsh⁶⁷^ORCID

Affiliation:

1. Research and Development, Department of Mechanical Engineering Vijaya Vittala Institute of Technology Bengaluru India

2. Department of Mechanical Engineering Malnad College of Engineering Hassan India

3. Department of Mechanical Engineering Presidency University Bengaluru India

4. Department of Mechanical Engineering, Alliance College of Engineering and Design Alliance University Bengaluru India

5. Department of Automobile Engineering School of Mechanical and Automotive Engineering, Kalasalingam Academy of Research and Education Srivilliputhur India

6. Department of Mechanical Science and Bioengineering Osaka University Osaka Japan

7. Department of Mechanical Engineering University of Petroleum and Energy Studies Dehradun India

Publisher

Wiley

Subject

Materials Chemistry,Polymers and Plastics,General Chemistry,Ceramics and Composites

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pc.27043

Reference91 articles.

1. Three-body abrasive wear of short glass fibre polyester composite

2. A comparative analysis of the abrasion wear characteristics of industrial wastes filled glass/polyester composites based on the design of experiment and neural network

3. A comprehensive review on surface modification, structure interface and bonding mechanism of plant cellulose fiber reinforced polymer based composites