Results 21 to 30 of about 101,475 (206)
Numerical Investigation of Arc-Pool-Metal Vapor Behavior in GTAW with an External Magnetic Field
Gas tungsten arc welding with an external magnetic field is proven to suppress weld defects while improving welding speed. A three-dimensional numerical model that considers interactions among the arc plasma, weld pool, metal vapor, and external magnetic
Yu Han+4 more
doaj +1 more source
Multiphysics modelling of Gas Tungsten Arc Welding on ultra-thin-walled titanium tubing [PDF]
This thesis presents a novel multiphysics solver, named gtawFoam, for Gas Tungsten Arc Welding (GTAW) that is applied to simulate orbital GTAW on ultra-thin-walled titanium tubing. In this thesis, ultra-thin-walled tubing refers to tubing where the wall thicknesses are less than 500 $\mu m$.
arxiv
The objective of this research work is to enhance the microstructure and intergranular corrosion resistance of AISI 304 stainless steel by diffusing the stabilizing element, that is, Niobium (Nb), using a comparatively new methodology termed as flux ...
Chitkarnvir Singh+2 more
doaj +1 more source
In this paper, the combination of shielded metal arc welding (SMAW) and gas tungsten arc welding (GTAW) welding methods are used in a double V groove SS304 10 mm thick plate. Welding current variation of 110A SMAW/120A GTAW, 100A SMAW/130A GTAW, and 90A
lia amalia+3 more
doaj +1 more source
Deep Learning Based Steel Pipe Weld Defect Detection [PDF]
Steel pipes are widely used in high-risk and high-pressure scenarios such as oil, chemical, natural gas, shale gas, etc. If there is some defect in steel pipes, it will lead to serious adverse consequences. Applying object detection in the field of deep learning to pipe weld defect detection and identification can effectively improve inspection ...
arxiv +1 more source
In this investigation, AISI 304LN austenitic stainless steel pipes having 25 mm thickness and 300 mm inner diameter with conventional and narrow groove were welded by continuous current gas metal arc welding (GMAW) and pulse current gas metal arc welding
Sudhir Kumar+3 more
doaj +1 more source
Machine learning models for determination of weldbead shape parameters for gas metal arc welded T-joints -- A comparative study [PDF]
The shape of a weld bead is critical in assessing the quality of the welded joint. In particular, this has a major impact in the accuracy of the results obtained from a numerical analysis. This study focuses on the statistical design techniques and the artificial neural networks, to predict the weld bead shape parameters of shielded Gas Metal Arc ...
arxiv
The magnetically constricted arc technique was implemented to mitigate the heat input related metallurgical problems in Gas Tungsten Arc Welding (GTAW) of Inconel 718 alloy particularly Nb segregation and subsequent laves phase evolution in fusion zone ...
Tushar Sonar+4 more
doaj
A Comparative Study of Residual Stress and Mechanical Properties for FSW and TIG Weld on Structural Steel [PDF]
Mechanical properties and residual stresses of friction stir welded and autogenous tungsten inert gas welded structural steel butt welds have been studied.
P.K. Chaurasia+2 more
doaj +1 more source
Towards a Deep Learning-based Online Quality Prediction System for Welding Processes [PDF]
The digitization of manufacturing processes enables promising applications for machine learning-assisted quality assurance. A widely used manufacturing process that can strongly benefit from data-driven solutions is gas metal arc welding (GMAW). The welding process is characterized by complex cause-effect relationships between material properties ...
arxiv