Determination of Melting Efficiency of Mild Steel in GTA Welding Process

2014 ◽  
Vol 592-594 ◽  
pp. 139-143 ◽  
Author(s):  
G. Sathish Kumar ◽  
R. Sellamuthu ◽  
Sanjivi Arul
Keyword(s):  
Mild Steel ◽  
Arc Welding ◽  
Welding Process ◽  
Gta Welding ◽  
Gas Tungsten Arc Welding ◽  
Current Speed ◽  
Arc Length ◽  
Electrode Diameter ◽  
Gas Tungsten Arc

In this study, a model for the melting efficiency of Gas tungsten arc welding (GTAW) was developed and validated using experiments. It was found that the melting efficiency increases with current, speed, arc length and electrode tip angle. The melting efficiency is found to be stable with increase in electrode diameter. The results were compared with existing studies.

Numerical Analysis of Gas Tungsten Arc Welding with a Constricted Nozzle for Butt Joint of Thin-Sheet Metals

2014 ◽  
Vol 922 ◽  
pp. 383-387
Author(s):  
Kyohei Konishi ◽  
Manabu Tanaka ◽  
Akihisa Murata ◽  
Tadasuke Murata
Keyword(s):  
Arc Welding ◽  
Thin Sheet ◽  
Welding Process ◽  
Gta Welding ◽  
Butt Joint ◽  
Gas Tungsten Arc Welding ◽  
Sheet Metals ◽  
Gas Tungsten Arc ◽  
New Process ◽  
Gas Nozzle

GTA (Gas Tungsten Arc) welding process has been studied as a higher level welding process. The “GTA welding process with constricted nozzle” is one of new welding processes [1]. In this new process, arc stiffness is greatly improved by attaching an additional gas nozzle which is called “constricted nozzle” inside the shielding gas nozzle. The design of a constricted nozzle is shown in Figure 1. With this new process, a butt joint of thin-sheet metals can be achieved although that is difficult with a conventional GTA welding process. In this study, numerical simulation is conducted to understand phenomena of arc plasma in a GTA welding process with a constricted nozzle scientifically.

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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