Results 21 to 30 of about 101,475 (206)

Numerical Investigation of Arc-Pool-Metal Vapor Behavior in GTAW with an External Magnetic Field

open access: yesMetals, 2020
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]

open access: yesarXiv, 2022
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  

Measurement and analysis on the sensitization behavior of SS-304 welds using Nb-based stabilization through flux-coated gas tungsten arc welding

open access: yesMeasurement + Control, 2019
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

Analysis of Welding Current Variation of SMAW and GTAW Combination Welding with Double V Groove on The Mechanical Properties and Microstructure of SS304 Stainless Steel

open access: yesSpecta, 2023
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]

open access: yes, 2021
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

A study on shrinkage residual stresses, microstructure and mechanical properties of ASS thick pipe welded by GMAW process

open access: yesMaterials Research Express, 2021
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]

open access: yesarXiv, 2022
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  

Influence of magnetically constricted arc traverse speed (MCATS) on tensile properties and microstructural characteristics of welded Inconel 718 alloy sheets

open access: yesDefence Technology, 2021
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]

open access: yesArchives of Metallurgy and Materials, 2018
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]

open access: yesarXiv, 2023
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  

Home - About - Disclaimer - Privacy