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

• Main Author: Norfadzlan, Bin Yusup
• Format: Final Year Project Report
• Language: English; English
• Published: Faculty of Computer Science and Information Systems. 2012
• Subjects: T Technology (General); TJ Mechanical engineering and machinery
• Online Access: http://ir.unimas.my/id/eprint/5602/1/ARTIFICIAL%20BEE%20COLONY%20IN%20OPTIMIZING%20PROCESS%20PARAMETERS%20OF%20SURFACE%20ROUGHNESS%20%2824pgs%29.pdf; http://ir.unimas.my/id/eprint/5602/7/ARTIFICIAL%20BEE%20COLONY%20IN%20OPTIMIZING%20PROCESS%20PARAMETERS%20OF%20SURFACE%20ROUGHNESS-Msc%28OCR%29dlm%20IR.pdf; http://ir.unimas.my/id/eprint/5602/

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.