Neuro Fuzzy Modeling of Laser Beam Cutting Process

Abstract:

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Laser Beam Cutting (LBC) being a complex cutting process needs a reliable model for prediction of the process performance. This research work presents a modeling study of LBC process. A hybrid approach of Artificial Neural Network (ANN) and Fuzzy Logic (FL) has been used for developing the Kerf width model. The developed Neuro Fuzzy model of Kerf width has also been compared with Response Surface Methodology (RSM) based model and it has been found that the values of Kerf width predicted by the Neuro Fuzzy Model are more closer to the experimental values.

Info:

Periodical:

Edited by:

Wu Fan

Pages:

4109-4117

DOI:

10.4028/www.scientific.net/AMM.110-116.4109

Citation:

A. K. Pandey and A. K. Dubey, "Neuro Fuzzy Modeling of Laser Beam Cutting Process", Applied Mechanics and Materials, Vols. 110-116, pp. 4109-4117, 2012

Online since:

October 2011

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Price:

$35.00

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