UTHM Institutional Repository

Optimization of parameters of laser non-linear inclined cutting on stainless steel metal

Abbas, Abbas Allawi (2014) Optimization of parameters of laser non-linear inclined cutting on stainless steel metal. Masters thesis, Universiti Tun Hussein Onn Malaysia.

[img]
Preview
PDF
ABBAS_ALLAWI_ABBAS.pdf

Download (1MB)

Abstract

The aim of this research is to develop a laser cutting process model that can predict the relationship between the process input parameters and resultant surface roughness; kerf width characteristics. The research conduct is based on the Design of Experiment (DOE) analysis. Response Surface Methodology (RSM) is used in this research, it is one of the most practical and most effective techniques to develop a process model. Even though RSM has been used for the optimisation of the laser process, published RSM modelling work on the application of laser cutting process on cutting material is lacking. This research investigates laser cutting stainless steel to be best the circumstances laser cutting using RSM process. The input parameters evaluated are gas pressure, power supply and cutting speed, the output responses being kerf width, surface roughness. The laser cutting process is one of the widely used techniques to cut thickness material for various applications such as fiber, steel wood fabrication. In the area of laser cutting material,it can be improved drastically with the application of hard cutting. The application of cut on stainless steel for various machining techniques, such as bevel linear and bevel non-linear cutting, requires different cut characteristics, these being highly dependent on the process parameters under which they were formed. To efficiently optimize and customize the kerf width and surface roughness characteristics, a machine laser cutting process model using RSM methodology was proposed.

Item Type: Thesis (Masters)
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ1125-1345 Machine shops and machine shop practice
Depositing User: Normajihan Abd. Rahman
Date Deposited: 24 Mar 2015 08:05
Last Modified: 24 Mar 2015 08:05
URI: http://eprints.uthm.edu.my/id/eprint/6620
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year