Application of machine learning and neural network models based on experimental evaluation of dissimilar resistance spot-welded joints between grade 2 titanium alloy and AISI 304 stainless steel. [PDF]
HeliyonMezher MT +3 more
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A Dataset of Fatigue Properties for Welded Joints. [PDF]
Sci DataDeng C +6 more
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Quantitative Study of Predicting the Effect of the Initial Gap on Mechanical Behavior in Resistance Spot Welding Based on L-BFGS-B. [PDF]
Materials (Basel)Su Y, Song K, Du Z, Yu K, Hu Z, Jin H.
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Resistance spot welding insights: A dataset integrating process parameters, infrared, and surface imaging. [PDF]
Data BriefDomínguez L +5 more
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Analysis of the Microstructure and Mechanical Performance of Resistance Spot-Welding of Ti6Al4V to DP600 Steel Using Copper/Gold Cold-Sprayed Interlayers. [PDF]
Materials (Basel)Szwajka K +4 more
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Ultrasonic Non-Destructive Testing and Evaluation of Stainless-Steel Resistance Spot Welding Based on Spiral C-Scan Technique. [PDF]
Sensors (Basel)Yang L +6 more
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Artificial Neural Networks and Experimental Analysis of the Resistance Spot Welding Parameters Effect on the Welded Joint Quality of AISI 304. [PDF]
Materials (Basel)Mezher MT +3 more
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Microstructure and properties of joint of Al/Cu welded by resistance element welding with an auxiliary gasket of Ni. [PDF]
Sci RepCui D, Wang J, Qiu R, Shi H, Yan L.
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Corrosion Behavior and Mechanical Property of 5182 Aluminum/DP780 Steel Resistance Spot Welding Joints. [PDF]
Materials (Basel)Shi X +7 more
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