Student Final Year Project

Authors
Chai Shing Yih
Title
Prediction of surface roughness and optimisation of the cutting parameters when milling AISI P20 steel
Location
The Library
School
Department of Mechanical Engineering
Year
2007
Call Number
Q621.3620 CHA
Abstract

It is known that surface roughness is directly influanced by cutting parameters, but in cutting there is no specific law that could justify a particular correlation of cutting parameters that is common to all cutting tools and workpiece for the same output, surface roughness. The only way to obtain their correlation is by prediction. Therefore response surface methodology (RSM) was used in this study to perform statistical analysis.