Effects of machining parameters on surface quality of composites reinforced with natural fibers

Natrayan Lakshmaiya; V. Sakthi Murugan

doi:10.1117/12.3011869

19 December 2023 Effects of machining parameters on surface quality of composites reinforced with natural fibers

Natrayan Lakshmaiya, V. Sakthi Murugan

Proceedings Volume 12936, International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023); 1293610 (2023) https://doi.org/10.1117/12.3011869
Event: International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023), 2023, Istanbul, Turkey

Abstract

To minimize imperfections and debonding issues in the machining operations of bio-composites, it is critical to understand the impacts of machinability and cutting force kinetics. To use a multiple, independent design, the impacts of machinability just on the workpiece level of access—surface and debonding component—all through the milling of coir, jute, and rice bran-augmented epoxy composites were investigated in this work. Different zones in the silica concentrations and hard values of the various natural fabrics were observed, which altered the interface quality of the final fiber-reinforced concrete. Coir/epoxy composites had the least debonding damage and the best surface polish, probably related to the coir's fiber characteristics and morphology. In contrast, RH/epoxy materials were the least difficult to machine. A quantitative examination of the findings shows that travel speed has a greater effect on finished surface integrity than feed rate when milling NFRCs, with such a contribution being at least nearly twice as great.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Natrayan Lakshmaiya and V. Sakthi Murugan "Effects of machining parameters on surface quality of composites reinforced with natural fibers", Proc. SPIE 12936, International Conference on Mathematical and Statistical Physics, Computational Science, Education and Communication (ICMSCE 2023), 1293610 (19 December 2023); https://doi.org/10.1117/12.3011869

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