Laser cutting quality control of melamine using artificial neural networks
Experimental analysis has been carried out to seek the optimum combination (cutting speed, laser power, assist pressure of air and standoff distance) of input controllable variables in the process of laser cutting in order to improve the laser cutting quality on non-metallic such as Urea formaldehyd...
Saved in:
Main Authors: | Mustafa, Z., Amin, I., Nukman, Y., Haider, N., Haq, I. |
---|---|
Format: | Article |
Language: | English |
Published: |
2010
|
Subjects: | |
Online Access: | http://eprints.um.edu.my/8372/1/Laser_cutting_of_melamine_2010.pdf http://eprints.um.edu.my/8372/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimization of Prediction Error in CO2 Laser Cutting process by Taguchi Artificial Neural Network Hybrid with Genetic algorithm
by: Nukman, Y., et al.
Published: (2013) -
A study on laser cutting of textiles
by: Nukman, Y., et al.
Published: (2010) -
Multiple-objective optimization in precision laser cutting of different thermoplastics
by: Tamrin, K.F., et al.
Published: (2015) -
Multiple-objective optimization in precision laser cutting of different thermoplastics
by: Tamrin, K. F., et al.
Published: (2015) -
Modeling, Testing and Experimental Validation of Laser Machining Micro Quality Response by Artificial Neural Network
by: Sivarao, Subramonian
Published: (2009)