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JSIR Vol.66 [2007] >
JSIR Vol.66(04) [April 2007] >
| Title: | ANFIS for prediction of weld bead width in a submerged arc welding process |
| Authors: | Dhas, J Edwin Raja
Kumanan, S |
| Keywords: | ANFIS
Bead width
Multiple regression model
Submerged arc welding |
| Issue Date: | Apr-2007 |
| Publisher: | CSIR |
| IPC Code: | G06N7/02 |
| Abstract: | This paper proposes an intelligent technique, Adaptive Neuro-Fuzzy Inference System (ANFIS), to predict the weld
bead width in the submerged arc welding (SAW) process for a given set of welding parameters. Experiments are designed
according to Taguchi’s principles and its results are used to develop a multiple regression model. Multiple sets of data from
multiple regression analysis are utilized to train the intelligent network. The trained network is used to predict the quality of
weld. The proposed ANFIS, developed using MATLAB functions, is flexible, accurate than existing models and it scopes
for a better online monitoring system. |
| Page(s): | 335-338 |
| ISSN: | 0022-4456 |
| Source: | JSIR Vol.66(04) [April 2007]
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