Machinability of Polymeric Composites and Future Reinforcements — A Review

Shalwan, Abdullah and Alsaeed, Talal and Yousif, Belal ORCID: https://orcid.org/0000-0003-3847-5469 (2022) Machinability of Polymeric Composites and Future Reinforcements — A Review. Journal of Materials Science and Chemical Engineering, 10 (5). pp. 40-72. ISSN 2327-6045

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Abstract

This paper reviews the machinability and mechanical properties of natural fiber-reinforced composites. Coupling agents, operating parameters, as well as chemical treatment effects on natural fiber-reinforced composites’ machinability are also reviewed. Moreover, the impacts of fibers’ physical properties on the machinability of the composite are mentioned. Fiber volume fraction (Vf), fiber orientation as well as chemical treatment effects on mechanical properties are also defined. Conclusively, the effect of fibers’ physical properties as well as mechanical properties is described. It was discovered that chemical treatment of natural fibers improved their compatibility with the matrix by removing their surface tissues, increasing the roughness average (Ra), and reducing moisture absorption. Also, the Orientation of the fiber plays an important role in controlling the mechanical properties of the composite. Moreover, some physical properties of the fibers, including quality of fiber distributed in the matrix; fiber size, length, and diameter; moisture absorption; porosity and the way fibers break during compounding with the matrix, were found to affect the mechanical properties of the composites formed.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -)
Faculty/School / Institute/Centre: Current – Faculty of Health, Engineering and Sciences - School of Engineering (1 Jan 2022 -)
Date Deposited: 31 May 2022 23:54
Last Modified: 31 May 2022 23:54
Uncontrolled Keywords: Machinability, Natural Fiber, Composites, Chemical Treatment, Operating Parameters
Fields of Research (2020): 46 INFORMATION AND COMPUTING SCIENCES > 4611 Machine learning > 461199 Machine learning not elsewhere classified
40 ENGINEERING > 4014 Manufacturing engineering > 401405 Machine tools
Identification Number or DOI: https://doi.org/10.4236/msce.2022.105004
URI: http://eprints.usq.edu.au/id/eprint/48678

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