Title: Developing rules bases on the influence of welding parameters in FCAW process from ANN model

Authors: G. Majumdar, B. Oraon, A. Laha, S.K. Ghosh, I. Mohanty, S. Datta

Addresses: Department of Mechanical Engineering, Jadavpur University, Kolkata 700032, India. ' Department of Mechanical Engineering, Jadavpur University, Kolkata 700032, India. ' Department of Mechanical Engineering, Jadavpur University, Kolkata 700032, India. ' Department of Mechanical Engineering, Jadavpur University, Kolkata 700032, India. ' School of Materials Science and Engineering, Bengal Engineering and Science University, Shibpur, Howrah 711103, India. ' School of Materials Science and Engineering, Bengal Engineering and Science University, Shibpur, Howrah 711103, India

Abstract: The influence of welding parameters in Flux-Cored Arc Welding (FCAW) process on the bead geometry and Heat Affected Zone (HAZ) were determined using Artificial Neural Network (ANN). The significance of all the variables on the properties of the weld zone have been assessed by ANN and found to be in accordance to the existing knowledge. The roles of the variables on the weld quality, as revealed from the simulation results have been used to develop fuzzy if-then rules. The simple linguistic rule development from raw data is found to be effective in gathering basic understanding of the process.

Keywords: flux-cored arc welding; FCAW variables; weld zone properties; modelling; ANNs; artificial neural networks; fuzzy rules; welding parameters; bead geometry; heat affected zone; HAZ; simulation.

DOI: 10.1504/IJMMS.2010.029887

International Journal of Mechatronics and Manufacturing Systems, 2010 Vol.3 No.1/2, pp.155 - 164

Available online: 02 Dec 2009 *

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