scholarly journals Surfacing on Aluminum Alloy. Report 2. Gas Tungsten Arc Welding Process for Surfacing Aluminum Alloys with Al-Cu Cored Wire.

1993 ◽  
Vol 11 (2) ◽  
pp. 247-253 ◽  
Author(s):  
Yoshio Kanbe ◽  
Yasutoshi Nakada ◽  
Shigeru Kurihara ◽  
Hiroyuki Koike ◽  
Toshiyuki Miyake
Keyword(s):  
Aluminum Alloy ◽  
Aluminum Alloys ◽  
Arc Welding ◽  
Welding Process ◽  
Gas Tungsten Arc Welding ◽  
Cored Wire ◽  
Gas Tungsten Arc ◽  
Gas Tungsten ◽  
Arc Welding Process

Gas-Tungsten Arc Welding of Dissimilar Aluminum Alloys with Nano-Treated Filler

2021 ◽  
pp. 1-24
Author(s):  
Narayanan Murali ◽  
Maximilian Sokoluk ◽  
Gongcheng Yao ◽  
Shuaihang Pan ◽  
Igor De Rosa ◽  
...  
Keyword(s):  
Aluminum Alloys ◽  
Arc Welding ◽  
Welding Process ◽  
Gas Tungsten Arc Welding ◽  
Gas Tungsten Arc ◽  
Weld Metals ◽  
Dissimilar Aluminum Alloys ◽  
Gas Tungsten ◽  
Arc Welding Process ◽  
Tic Nanoparticles

Abstract Arc welding of dissimilar aluminum alloys is in high demand in industry but often challenging in practice. Dissonant material properties between the base metals often lead to solidification cracking in the weld metal upon cooling. Here, we report a nano-treatment approach that infuses TiC nanoparticles into filler material mimicking commercial ER5183 to successfully join dissimilar systems of AA2024 + AA5083 and AA2024 + AA7075 with the gas-tungsten arc welding process. Welded specimens were free of hot cracking, and microstructural studies revealed globular, refined grains smaller than 20 µm in the weld metals of both systems. Mechanical properties of both systems were examined with microhardness and tensile testing, and they showed sound behavior in their as-welded conditions. Nano-treatment therefore presents a new way to reliably weld dissimilar systems that are traditionally considered unweldable

A Neural Network Model for Predicting Two Observable Parameters of the Welded Cross Section in Case of Robotic Gas Tungsten Arc Welding Process

2012 ◽  
Vol 162 ◽  
pp. 531-536
Author(s):  
Gabriel Gorghiu ◽  
Paul Ciprian Patic ◽  
Dorin Cârstoiu
Keyword(s):  
Neural Network ◽  
Arc Welding ◽  
Welding Process ◽  
Gas Tungsten Arc Welding ◽  
Gas Tungsten Arc ◽  
Proposed Model ◽  
Input Layer ◽  
Gas Tungsten ◽  
Arc Welding Process ◽  
Observable Parameter

The paper presents a model of using the artificial neural networks when determining the relations of dependency between the observable parameters and the controllable ones in the case of RoboticGas Tungsten Arc Welding. The proposed model is based on the direct observation of welded joints, emphasizing on the process variables which have been arranged in the nodes of a neural network. The design of the network intended to achieve an architecture that contains four nodes in the input layer (all of them being controllable parameters) and two nodes in the output layer (one for each observable parameter).

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