Data set on prediction of friction stir welding parameters to achieve maximum strength of AA2014-T6 aluminium alloy joints. [PDF]
Data Brief, 2019 Rajendran C +4 more
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Prediction and Optimization of Load-Bearing Capacity in Resistance Spot Welded Titanium Joints Using Neural Networks and Genetic Algorithms. [PDF]
Materials (Basel)Lacki P +4 more
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Advances in Electrofusion Welding Technology for Polymeric Pipelines: From Process Optimization to Mechanism-Driven Control. [PDF]
Polymers (Basel)Hong B +7 more
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Friction Stir Welding of Dissimilar Materials: A Review on Joining Mechanism, Defects, and Process Optimization. [PDF]
Materials (Basel)Zhang Y, Wang S, Sun Y, Zhao C, Li W.
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Improve the Welding Parameters for AISI 304l by TIG Welding
International Journal of Mechanical and Production Engineering Research and Development, 2020 openaire +1 more source
Surface Microstructure Regulation via Femtosecond Laser for Enhancing Laser Welding Strength of PVC/PA66: Mechanisms and Optimal Parameters. [PDF]
Polymers (Basel)Zhai K +8 more
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Numerical Investigation on Thermal Fluid Flow-Induced Porosity During EBW of Aluminum Alloy. [PDF]
Materials (Basel)Zeng R, Song D, Cui H, Wang T.
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Enhancement of Weld Penetration via Arc Constriction in 316L Stainless Steel Using High-Frequency Flat-Top Longitudinal Magnetic Field-Assisted TIG Welding. [PDF]
Materials (Basel)Liu Y +5 more
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Taguchi Optimization of Microstructure and Mechanical Properties in Dissimilar TIG Welding of AISI 304 L-409 M Stainless Steel. [PDF]
Sci RepGhosh N, Roy A.
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Atomistic insight into Al-Mg friction stir welding process via molecular dynamics simulation. [PDF]
PLoS OneNguyen VT +5 more
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