Optimization of parameters of laser non-linear inclined cutting on stainless steel metal
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 Met...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
2014
|
Subjects: | |
Online Access: | http://eprints.uthm.edu.my/1416/1/24p%20ABBAS%20ALLAWI%20ABBAS.pdf http://eprints.uthm.edu.my/1416/2/ABBAS%20ALLAWI%20ABBAS%20WATERMARK.pdf http://eprints.uthm.edu.my/1416/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | 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. |
---|