Stochastic Modeling and Optimization of Laser Machining by Response Surface Methodology
Design of experiment uses a series of structured analytic method to investigate the relation between parameters and the responses. The particular technique used in this study is response surface methodology. Using the DOE approach, a mathematical based model was developed through regression analysis...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | en |
| Published: |
IJENS Publishers
2010
|
| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/9152/1/101804-5252_IJET-IJENS.pdf http://eprints.utem.edu.my/id/eprint/9152/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Design of experiment uses a series of structured analytic method to investigate the relation between parameters and the responses. The particular technique used in this study is response surface methodology. Using the DOE approach, a mathematical based model was developed through regression analysis to study the response prediction. It is found that for kerf width the cutting speed plays an important role. Only a high cutting speed can produce good kerf width. When considering the interaction between the parameters, duty cycle directly depends on frequency where a high duty cycle is needed for high frequency cutting and vice versa to obtain a good kerf width. |
|---|
