Machinability of Polymeric Composites and Future Reinforcements — A Review
Article
Article Title | Machinability of Polymeric Composites and Future Reinforcements — A Review |
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Article Category | Article |
Authors | Shalwan, Abdullah (Author), Alsaeed, Talal (Author) and Yousif, Belal (Author) |
Journal Title | Journal of Materials Science and Chemical Engineering |
Journal Citation | 10 (5), pp. 40-72 |
Number of Pages | 33 |
Year | 2022 |
Publisher | Scientific Research Publishing, Inc, |
Place of Publication | United States |
ISSN | 2327-6045 |
2327-6053 | |
Digital Object Identifier (DOI) | https://doi.org/10.4236/msce.2022.105004 |
Web Address (URL) | https://www.scirp.org/journal/paperinformation.aspx?paperid=117567 |
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. |
Keywords | Machinability, Natural Fiber, Composites, Chemical Treatment, Operating Parameters |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 461199. Machine learning not elsewhere classified |
401405. Machine tools | |
Byline Affiliations | Public Authority for Applied Education and Training, Kuwait |
Centre of Excellence in Engineered Fibre Composites | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q75x3/machinability-of-polymeric-composites-and-future-reinforcements-a-review
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