Results 11 to 20 of about 39,856 (229)

Selection of Welding Process for Repairing Shredder Hammer by Integrated Data Envelopment Analysis (DEA) and P-robust Technique [PDF]

open access: yesMATEC Web of Conferences, 2019
The Selection of the welding process is one of the most significant decision-making problems, and it involves a wide range of information following the type of product.
Wisnu Wardana Rahmad   +2 more
doaj   +1 more source

Relationship Between Metal Vapor in Arc and Droplet Transfer Mode in GMAW

open access: yesTaiyuan Ligong Daxue xuebao, 2022
The relationship between metal vapor in arc and droplet transfer mode in GMAW was reviewed. The results show that when welding with high current and corresponding welding parameters and different shielding gases, the conductivity of the vapor in arc ...
Xian SUN
doaj   +1 more source

Impact of driving forces on molten pool in gas metal arc welding

open access: yesWelding in the World, 2021
A numerical scrutiny was performed to analyze the effect of driving forces on molten pool in gas metal arc welding. In addition to the basic governing equations required for a general heat and mass transfer analysis by computational fluid dynamics, a ...
W. Cho, S. Na
semanticscholar   +1 more source

Characterizations of TIG welded joints of Unalloyed Commercially Pure Titanium Gr-2 for Weld Process Parameters

open access: yesFracture and Structural Integrity, 2019
Titanium and Titanium Alloys can be welded by gas tungsten arc, gas metal arc, plasma arc and electron beam welding processes. Titanium material is a reactive metal and is sensitive to embrittlement by oxygen, nitrogen, and hydrogen gas, at elevated ...
Hiralal S. Patil, D. C PATEL, C. S PATIL
doaj   +3 more sources

Effects of Active Gases on Droplet Transfer and Weld Morphology in Pulsed-Current NG-GMAW of Mild Steel

open access: yesChinese Journal of Mechanical Engineering, 2021
The current research of narrow-gap gas metal arc welding (NG-GMAW) primarily focuses on improving the sidewall fusion and avoiding the lack-of-fusion defect. However, the high cost and operation difficulty of the methods limit the industrial application.
Guoqiang Liu   +4 more
doaj   +1 more source

Environmental Impact of Silicic Magmatism in Large Igneous Province Events

open access: yesGeophysical Monograph Series, Page 133-151., 2021

Exploring the links between Large Igneous Provinces and dramatic environmental impact

An emerging consensus suggests that Large Igneous Provinces (LIPs) and Silicic LIPs (SLIPs) are a significant driver of dramatic global environmental and biological changes, including mass extinctions.
Scott E. Bryan
wiley  

+1 more source

Numerical simulation of coupled arc-droplet-weld pool behaviors during compound magnetic field assisted gas metal arc welding

open access: yes, 2021
A compound external magnetic field (EMF) can be used to prevent weld bead defects by controlling the metal transfer and arc behaviors during high-speed gas metal arc welding.
Lin Wang   +3 more
semanticscholar   +1 more source

Mechanical and Microstructural Evaluation of DMAG Welding of Structural Steel

open access: yesAdvances in Mechanical Engineering, 2015
Double channel torch, which allows concentric flow of two different shielding gases, was designed and manufactured in order to pursue double channel torch gas metal arc welding of unalloyed structural steel S235JR (EN 10025-2) with fourteen passes ...
Tolga Mert   +2 more
doaj   +1 more source

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

Burn-through prediction and weld depth estimation by deep learning model monitoring the molten pool in gas metal arc welding with gap fluctuation

open access: yes, 2020
In a single bevel GMAW (gas metal arc welding) with gap fluctuation, a deep learning model was constructed using the monitoring image during the welding to predict the welding quality.
Kazufumi Nomura   +3 more
semanticscholar   +1 more source

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