Optimization Of Drilling Parameter For Carbon Fiber Reinforced Polymer CFRP Material Using RSM

Abdul Rahim, Mohd Isa (2019) Optimization Of Drilling Parameter For Carbon Fiber Reinforced Polymer CFRP Material Using RSM. Masters thesis, Universiti Teknikal Malaysia Melaka.

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Abstract

In today’s scenario, composite like Carbon Fiber Reinforced Polymer (CFRP) is a standout and the most alluring and profitable material among all the designing materials. The reason for using these composite laminates is their superior properties and their influential application in aerospace industries, aircraft structural components, and others. The present learning about drilling of CFRP composites is in a moving stage for its ideal usage in different fields of uses despite being composite overlays are viewed as difficult for machine materials. Drilling process is highly depended on the drilling parameters (i.e. Feed, Speed). This becomes more important when a new product design , shape and hole dimension is critical inwhich high surface finish, accuracy of dimensional tolerances and high material removal rate are required. Therefore, the application using Ultrasonic and Non Ultrasonic is proposed to get the optimization of machining parameters in improving the product quality, as well as its productivity. Effects of input variable of drilling process (Spindle speed, feedrate) using Ultrasonic and Non Ultrasonic on the machining output; entrance and exit hole accuracy also surface roughness were studied. The optimum values of machining parameters can be obtained is Spindle Speed = 2500 rpm , Feed rate = 0.09 mm/tooth and Ultrasonic Assisted Drilling.

Item Type: Thesis (Masters)
Uncontrolled Keywords: Drilling and boring machinery, Carbon composites, Drilling parameter, Carbon fiber reinforced polymer, CFRP, RSM
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Divisions: Library > Tesis > FKP
Depositing User: F Haslinda Harun
Date Deposited: 11 Feb 2021 00:08
Last Modified: 29 Sep 2021 12:01
URI: http://eprints.utem.edu.my/id/eprint/24936
Statistic Details: View Download Statistic

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