Soft computing techniques in advancement of structural metals

S Datta, PP Chattopadhyay - International Materials …, 2013 - journals.sagepub.com
Current trends in the progress of technology demand availability of materials resources
ahead of the advancing fronts of the application areas. During the last couple of decades …

Machine learning with domain knowledge for predictive quality monitoring in resistance spot welding

B Zhou, T Pychynski, M Reischl, E Kharlamov… - Journal of Intelligent …, 2022 - Springer
Digitalisation trends of Industry 4.0 and Internet of Things led to an unprecedented growth of
manufacturing data. This opens new horizons for data-driven methods, such as Machine …

[HTML][HTML] Advances in the control and improvement of quality in the resistance spot welding process

Ó Martín, P De Tiedra - Metals, 2022 - mdpi.com
This work aims to respond to the need derived from the highly changing and competitive
nature of the industrial environment in which the resistance spot welding (RSW) process is …

Modelling and Pareto optimization of mechanical properties of friction stir welded AA7075/AA5083 butt joints using neural network and particle swarm algorithm

MH Shojaeefard, RA Behnagh, M Akbari, MKB Givi… - Materials & Design, 2013 - Elsevier
Friction Stir Welding (FSW) has been successfully used to weld similar and dissimilar cast
and wrought aluminium alloys, especially for aircraft aluminium alloys, that generally present …

Effect of welding parameters on tensile strength of ultrasonic spot welded joints of aluminum to steel–By experimentation and artificial neural network

D Zhao, D Ren, K Zhao, S Pan, X Guo - Journal of Manufacturing processes, 2017 - Elsevier
Aluminum and steel are widely used in automotive and aerospace industries. As a new type
of solid-phase welding, ultrasonic spot welding is an effective way to achieve joints of high …

Artificial neural networks and experimental analysis of the resistance spot welding parameters effect on the welded joint quality of AISI 304

MT Mezher, A Pereira, T Trzepieciński, J Acevedo - Materials, 2024 - mdpi.com
The automobile industry relies primarily on spot welding operations, particularly resistance
spot welding (RSW). The performance and durability of the resistance spot-welded joints are …

[HTML][HTML] A novel systematic numerical approach on determination of heat source parameters in welding process

N Moslemi, S Gohery, B Abdi, I Sudin… - journal of materials …, 2022 - Elsevier
The double-ellipsoidal heat source concept, established by Goldak, has been extensively
employed to represent the energy distribution in a broad range of arc welding simulation …

APPLICATION OF TAGUCHI METHOD FOR THE OPTIMIZATION OF RESISTANCE SPOT WELDING PROCESS.

U Eşme - Arabian Journal for Science & Engineering …, 2009 - search.ebscohost.com
This paper reports on an investigation of the effect and optimization of welding parameters
on the tensile shear strength in the resistance spot welding (RSW) process. The …

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

B Acherjee, S Mondal, B Tudu, D Misra - Applied soft computing, 2011 - Elsevier
The present work establishes a correlation between the laser transmission welding
parameters and output variables though a nonlinear model, developed by applying artificial …

The modeling and process analysis of resistance spot welding on galvanized steel sheets used in car body manufacturing

SM Hamidinejad, F Kolahan, AH Kokabi - Materials & Design, 2012 - Elsevier
In this study, the resistance spot welding (RSW) process of the galvanized interstitial free (IF)
steel sheets and galvanized bake hardenable (BH) steel sheets, used in the manufacturing …