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2022 | OriginalPaper | Chapter

Optimization of Process Parameters in AWJ Cutting of Pineapple Fiber Reinforced Polymer Composites: Hybrid SCCSA Algorithm

Authors : A. Tamilarasan, T. Rajmohan, D. Rajamani, K. Palanikumar

Published in: Bio-Fiber Reinforced Composite Materials

Publisher: Springer Nature Singapore

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Abstract

The present study aims to prepare Pineapple Fiber Reinforced Polymer Composite. The kerf taper angle is then measured by cutting the composite with an abrasive water jet. The primary goal is to reduce the kerf taper angle in order to optimize machining performance. In this way, mathematical model was first developed by employing experimental approaches, beginning with the design plan called box-Behnken using response surface technique. The model's predicted values were found to be reasonably close to the actual experimental values. Then, a hybrid SCCSA algorithm has been utilized for optimizing the AWJ process parameters by single objective optimization is considered, and optimal value is determined. The results indicated that the SCCSA optimization strategy is a viable and effective method for optimizing the AWJ cutting process.

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Metadata
Title
Optimization of Process Parameters in AWJ Cutting of Pineapple Fiber Reinforced Polymer Composites: Hybrid SCCSA Algorithm
Authors
A. Tamilarasan
T. Rajmohan
D. Rajamani
K. Palanikumar
Copyright Year
2022
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-16-8899-7_7

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