Artificial bee colony in optimizing process parameters of surface roughness in end milling and abrasive waterjet machining

Norfadzlan, Bin Yusup (2012) Artificial bee colony in optimizing process parameters of surface roughness in end milling and abrasive waterjet machining. [Final Year Project Report] (Unpublished)

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Abstract

The machining operation can be generally classified into two types which are traditional machine and non-traditional (modern) machine. There are two types of machining employed in the research, end miling (traditional machining) and abrasive waterjet machining (non-traditional machining). Optimizing the process parameters is essential in order to provide a better quality and economics machining. This research develops an optimization algorithm using artificial bee colony (ABC) algorithm to optimize the process parameters that will lead to minimum surface roughness (Ra) value for both end miling and abrasive waterjet machining. In end miling, three process parameters that need to be optimized are the cutting speed, feed rate and radial rake angle.

Item Type: Final Year Project Report
Additional Information: Thesis (M.Sc.) -- Universiti Teknologi Malaysia, 2012.
Uncontrolled Keywords: Machine-tools--Design,Metal-cutting, Machine-tools, Mechanical Engineering, Universiti Malaysia Sarawak, UNIMAS, research, IPTA, education, sarawak, kuching, malaysia, samarahan, universiti, university
Subjects: T Technology > T Technology (General)
T Technology > TJ Mechanical engineering and machinery
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology
Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 01 Dec 2014 06:27
Last Modified: 14 Nov 2023 08:17
URI: http://ir.unimas.my/id/eprint/5602

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