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Soft computing techniques in advancement of structural metals
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 …
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
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 …
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
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 …
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
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 …
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 …
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
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 …
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
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 …
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 …
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
The present work establishes a correlation between the laser transmission welding
parameters and output variables though a nonlinear model, developed by applying artificial …
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
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 …
steel sheets and galvanized bake hardenable (BH) steel sheets, used in the manufacturing …