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Title: Neuro hybrid model to predict weld bead width in submerged arcwelding process
Authors: Dhas, J Edwin Raja
Kumanan, Somasundaram
Keywords: Bead width
Hybrid neuro model
Multiple regression model
Submerged arc welding
Issue Date: May-2010
Publisher: CSIR
Abstract: This paper presents development of neuro hybrid model (NHM) to predict weld bead width in submerged arc welding.Experiments were designed using Taguchi’s principles and results were used to develop a multiple regression model. Data setgenerated from Multiple Regression Analysis (MRA) was utilized in ANN model, which was trained with backpropagation algorithm in MATLAB platform and used to develop NHM to predict quality of weld. NHM is flexible and accurate than existing models for a better online monitoring system.
Description: 350-355
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.69(05) [May 2010]

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