Modeling and Analysis of the Weld Bead Geometry in Submerged Arc Welding by Using Adaptive Neurofuzzy Inference System

A practical approach for simulating submerged arc welding process using FE method

(2013) Ergun Nart et al.   JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH

Analysis of submerged arc welding process by three-dimensional computational fluid dynamics simulations

(2013) Dae-Won Cho et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

An effective quality assessment method for small scale resistance spot welding based on process parameters

(2013) Dawei Zhao et al.   NDT & E INTERNATIONAL

Evaluation of fillet weld properties and fatigue behaviour in dependence of welding parameters

(2012) M. LEITNER et al.   Archives of Civil and Mechanical Engineering

Optimal design for laser beam butt welding process parameter using artificial neural networks and genetic algorithm for super austenitic stainless steel

(2012) P. Sathiya et al.   OPTICS AND LASER TECHNOLOGY

Modelling and Prediction of Stainless Steel Clad Bead Geometry Deposited by GMAW Using Regression and Artificial Neural Network Models

(2012) P. Sreeraj et al.   Advances in Mechanical Engineering

Optimization of parameters of submerged arc weld using non conventional techniques

(2011) J. Edwin Raja Dhas et al.   APPLIED SOFT COMPUTING

Effect of heat input on weld bead geometry of submerged arc welded ASTM A709 Grade 50 steel joints

(2011) S. Shen et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Application of artificial neural network for predicting weld quality in laser transmission welding of thermoplastics

(2010) Bappa Acherjee et al.   APPLIED SOFT COMPUTING

Genetic algorithm for optimization of welding variables for height to width ratio and application of ANN for prediction of bead geometry for TIG welding process

(2009) D.S. Nagesh et al.   APPLIED SOFT COMPUTING