Title: Predicting weld bead geometry and HAZ width in modified 9Cr-1Mo steel welds using ANFIS-based models
Authors: M. Vasudevan; K.N. Gowtham; T. Jayakumar
Addresses: Metallurgy and Materials Group, Indira Gandhi Centre for Atomic Research, Kalpakkam, 603102, Tamil Nadu, India. ' Department of Metallurgical Engineering, PSG College of Technology, Coimbatore, 641004, Tamil Nadu, India. ' Metallurgy and Materials Group, Indira Gandhi Centre for Atomic Research, Kalpakkam, 603102, Tamil Nadu, India
Abstract: Modified 9Cr-1Mo steels are used as structural materials for steam generator components in power plants. Generally, tungsten inert gas (TIG) welding is used in the fabrication of these steels. In TIG welding of modified 9Cr-1Mo steels, the depth of penetration achievable in single pass is limited. Thus, a novel technique called as activated flux tungsten inert gas (A-TIG) welding has been developed in which application of flux over the joint area increases depth of penetration. In these weld joints, weld bead shape parameters like depth of penetration, bead width and heat affected zone (HAZ) width influences the mechanical properties and also the performance of the weld joints during high temperature service. Since, the fuzzy system lacks learning ability, a hybrid neuro-fuzzy system called as adaptive neuro-fuzzy inference system (ANFIS) has been used to develop models correlating process parameters with weld bead shape parameters and the models are also validated experimentally.
Keywords: modified 9Cr-1Mo steels; A-TIG welding; weld bead geometry; HAZ width; adaptive neuro-fuzzy inference system; ANFIS; neural networks; fuzzy logic; steam generators; power plants; activated flux TIG welding; tungsten inert gas welding; weld joints; weld bead shape; depth of penetration; heat affected zone.
International Journal of Computational Materials Science and Surface Engineering, 2011 Vol.4 No.3, pp.205 - 218
Received: 17 Nov 2010
Accepted: 21 Mar 2011
Published online: 11 Jan 2015 *