Results 31 to 40 of about 8,642 (211)

Parametric finite-element studies on the effect of tool shape in friction stir welding [PDF]

open access: yes, 2010
The success of the Friction Stir Welding (FSW) process, and the weld quality produced, depends significantly on the design of the welding tool. In this paper the effect of variation in various tool geometry parameters on FSW process outcomes, during the ...
Hamilton, R., Li, H., Mackenzie, D.
core   +1 more source

Resistance ceramic-filled annular welding of DP980 high-strength steel

open access: yesMaterials & Design, 2019
The extensive application of automobile high-strength steel requires high welding strength. A composite ceramic-filled annular electrode is designed based on the concept of controlling heat distribution and changing the nugget-growth mode.
Daxin Ren   +4 more
doaj   +1 more source

Friction stir welding of AZ31 magnesium alloy rolled sheets: Influence of processing parameters [PDF]

open access: yes, 2009
The temperature evolution during friction stir welding (FSW) and the resulting residual stresses of AZ31 Mg alloy were studied to get a better understanding of the mechanisms involved in this process.
BARRALLIER, Laurent   +3 more
core   +6 more sources

Resistance Spot-Welding of Dissimilar Metals, Medium Manganese TRIP Steel and DP590

open access: yesMetals, 2022
Resistance spot-welding of dissimilar metals, medium manganese TRIP steel 7Mn and DP590, is carried out. The effects of single-pulse welding parameters and a double-pulse-tempering current on the quality characteristic parameters and mechanical ...
Fufa Wei   +5 more
doaj   +1 more source

Metallographic evaluation of the weldability of high strength aluminium alloys using friction spot welding [PDF]

open access: yes, 2017
Friction spot welding is a recent solid-state welding technique well suited for spot-joining lightweight materials in overlap condition. Aerospace and transport industries show great interest in this technique to join high-strength aluminium alloys, but ...
De Waele, Wim   +2 more
core   +1 more source

Influence of the Joining Force on the Nugget Diameter During Resistance Spot Welding of Aluminum Materials

open access: yes, 2023
AbstractEver new requirements for the environmental compatibility and safety of products do not stop at the automotive industry. This results in ever shorter time windows for the pre-series processes. For this reason, time-consuming preliminary tests must be minimized to ensure an accelerated start-up and production that is as trouble-free as possible.
Jonas Pestka, Stefan Weihe
openaire   +1 more source

Investigation on shearing strength of resistance spot-welded joints of dissimilar steel plates with varying welding current and time

open access: yesJournal of Materials Research and Technology, 2022
The present research investigated the effects of welding current and welding time on the shearing strength of resistance spot-welded joints of low carbon steel and stainless steel plates.
Lei Chen   +7 more
doaj   +1 more source

Influencing mechanism of an external magnetic field on fluid flow, heat transfer and microstructure in aluminum resistance spot welding

open access: yesEngineering Applications of Computational Fluid Mechanics, 2021
The magnetically assisted resistance spot welding (MA-RSW) method provides a promising approach for improving weld performance. However, the MA-RSW process involves complex multiphysics fields that make numerical modeling very challenging.
Lin Qi   +4 more
doaj   +1 more source

Constraint Effect on Tensile and Fatigue Fracture of Coach Peel Specimens of Novel Aluminum–Steel Resistance Spot Welds

open access: yesCrystals
In response to the growing demand for fuel economy and the imperative to reduce greenhouse gas emissions, the automotive industry has embraced structural lightweighting through multi-material solutions.
Liting Shi, Xiangcheng Guo
doaj   +1 more source

Prediction of the Weld Qualities Using Surface Appearance Image in Resistance Spot Welding

open access: yesMetals, 2019
The quality of the resistance spot weld is predicted qualitatively using information from the weld’s external apparent image. The predicting tool used for weld qualities was a convolution neural network (CNN) algorithm with excellent performance in
Sang-Gyu Choi   +4 more
doaj   +1 more source

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