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Numerical modelling of drilling of fiber reinforced polymer matrix composite: a review


Citation

Shinde, Avinash Sudam and Siva, Irulappasamy and Munde, Yashwant and Hameed Sultan, Mohamed Thariq and Lee, Seng Hua and Shahar, Farah Syazwani (2022) Numerical modelling of drilling of fiber reinforced polymer matrix composite: a review. Journal of Materials Research and Technology, 20. pp. 3561-3578. ISSN 2238-7854; ESSN: 2214-0697

Abstract

Due to their superior advantage of strength-to-weight ratio, composite materials are mostly preferred over conventional materials. However, machining composite materials is a big challenge to industries due to their extreme heterogeneity. Several machining operations are required when the composites are brought to service; among all, drilling is one of the primary processes often required during assembling. Several researchers have done process parameter optimizations to attain improved quality drilling on composite materials. The experimental investigation involves a lot of effort, in terms of time and money, in the manufacturing and testing of the composites. With the invent of high-performance computing and its easy availability, in the recent past, researchers have started to work on the numerical simulation of the drilling process. The present review gives a comprehensive review of numerical modeling using finite element analysis of the drilling process for polymer composites. Numerical study on conventional and non-conventional drilling as well as orthogonal cutting with the effect of material, tool geometry, speed/feed, and temperature are reviewed. This will help the researchers to get a one-stop solution to learn different techniques used in numerical modeling of composite machining.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
Institute of Tropical Forestry and Forest Products
DOI Number: https://doi.org/10.1016/j.jmrt.2022.08.063
Publisher: Elsevier Editora Ltda
Keywords: Polymer composites; Drilling; Numerical modelling; Finite element analysis; Review
Depositing User: Ms. Che Wa Zakaria
Date Deposited: 06 Jul 2023 06:22
Last Modified: 06 Jul 2023 06:22
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.jmrt.2022.08.063
URI: http://psasir.upm.edu.my/id/eprint/102340
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