Paper Title:
Neuro Fuzzy Modeling of Laser Beam Cutting Process
  Abstract

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
Chapter
Chapter 21: Laser Based Manufacturing
Edited by
Wu Fan
Pages
4109-4117
DOI
10.4028/www.scientific.net/AMM.110-116.4109
Citation
A. K. Pandey, 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
$32.00
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