Machinability of Carbon Fiber Reinforced Polymer (CFRP) Composites: Modeling and Optimization Using Taguchi Analysis and Multi-Objective Genetic Algorithm

Author

S M Abdur Rob, The University of Texas Rio Grande Valley

Date of Award

8-2021

Document Type

Thesis

Degree Name

Master of Science (MS)

Department

Manufacturing Engineering

First Advisor

Dr. Anil Srivastava

Second Advisor

Dr. Jianzhi Li

Third Advisor

Dr. Rajiv Nambiar

Abstract

Carbon Fiber Reinforced Polymer (CFRP) composites have been widely used in aerospace, automotive, nuclear, and biomedical industries due to their high strength to weight ratio, corrosion resistant durability and excellent thermo-mechanical properties in non-oxidative atmospheres. Machining of CFRP composites has always been a challenge for the manufacturers. In this study, turning operation has been performed on CFRP composites to investigate the effects of cutting parameters namely cutting speed, feed rate and depth of cut on the output characteristics including cutting force, surface roughness and tool wear using Taguchi Analysis. Regression Analysis has been used to develop mathematical model for cutting force, surface roughness and tool wear as a function of cutting speed, feed rate and depth of cut. A comparative study has been performed between coated and uncoated carbide inserts based on the optimal parameters in multi-objective optimization of cutting force, tool wear and surface roughness using Multi-Objective Genetic Algorithm (MOGA) during turning of CFRP composites in a CNC lathe machine. It was found that coated carbides provide lower tool wear and surface roughness, but higher cutting force compared to those of uncoated carbides during turning of CFRP composites. Feed rate has been found as the most significant parameters in turning of CFRP composites to minimize cutting force, tool wear and surface roughness. Cutting speed has been found very significant in tool wear when using uncoated carbide inserts.

Comments

Copyright 2021 S M Abdur Rob. All Rights Reserved.

https://go.openathens.net/redirector/utrgv.edu?url=https://www.proquest.com/dissertations-theses/machinability-carbon-fiber-reinforced-polymer/docview/2596076133/se-2?accountid=7119

Recommended Citation

Rob, S M Abdur, "Machinability of Carbon Fiber Reinforced Polymer (CFRP) Composites: Modeling and Optimization Using Taguchi Analysis and Multi-Objective Genetic Algorithm" (2021). Theses and Dissertations. 950.
https://scholarworks.utrgv.edu/etd/950