COMSOL WITH MODIFIED NONLINEAR FUNCTION SPECIFICATION AND TEMPERATURE MOVING SENSOR TO ESTIMATE HEAT RATE IN A TIG WELDING PROCESS

2021 ◽  
Author(s):  
Rodrigo Gustavo Dourado da Silva ◽  
Elisan dos Santos Magalhães ◽  
Sandro Metrevelle Marcondes de Lima e Silva
Keyword(s):  
Nonlinear Function ◽  
Welding Process ◽  
Heat Rate ◽  
Tig Welding ◽  
A Tig Welding

Experimental and numerical simulation of thermomechanical phenomena during a TIG welding process

2004 ◽  
Vol 120 ◽  
pp. 697-704
Author(s):  
L. Depradeux ◽  
J.-F. Jullien
Keyword(s):  
Numerical Simulation ◽  
Numerical Models ◽  
Welding Process ◽  
Central Zone ◽  
Mechanical Analysis ◽  
Tig Welding ◽  
General Ability ◽  
Reduced Dimensions ◽  
Simple Geometry ◽  
A Tig Welding

In this study, a parallel experimental and numerical simulation of phenomena that take place in the Heat Affected Zone during TIG welding on 316L stainless steel is presented. The aim of this study is to predict by numerical simulation residual stresses and distortions generated by the welding process. For the experiment, a very simple geometry with reduced dimensions is considered: the specimens are disks, made of 316L. The discs are heated in the central zone in order to reproduce thermo-mechanical cycles that take place in the HAZ during a TIG welding process. During and after thermal cycle, a large quantity of measurement is provided, and allows to compare the results of different numerical models used in the simulations. The comparative thermal and mechanical analysis allows to assess the general ability of the numerical models to describe the structural behavior. The importance of the heat input rate and material characteristics is also investigated.

Study of Weldability for Aluminide Coated Steels through A-TIG Welding Process

2021 ◽  
Vol 11 (2) ◽  
pp. 20200168
Author(s):  
Arunsinh B. Zala ◽  
N. I. Jamnapara ◽  
Vishvesh J. Badheka ◽  
C. S. Sasmal ◽  
Shiju Sam ◽  
...  
Keyword(s):  
Welding Process ◽  
Tig Welding ◽  
A Tig Welding

Design and Development of Knowledge Bases for Forward and Reverse Mappings of TIG Welding Process

2009 ◽  
pp. 185-200
Author(s):  
J. P. Ganjigatti ◽  
Dilip Kumar Pratihar
Keyword(s):  
Regression Analysis ◽  
Welding Process ◽  
Knowledge Bases ◽  
Tig Welding ◽  
Inert Gas ◽  
Statistical Regression ◽  
A Tig Welding ◽  
Input Variables ◽  
Forward Mapping ◽  
Reverse Mapping

In this chapter, an attempt has been made to design suitable knowledge bases (KBs) for carrying out forward and reverse mappings of a Tungsten inert gas (TIG) welding process. In forward mapping, the outputs (also known as the responses) are expressed as the functions of the input variables (also called the factors), whereas in reverse mapping, the factors are represented as the functions of the responses. Both the forward as well as reverse mappings are required to conduct, for an effective online control of a process. Conventional statistical regression analysis is able to carry out the forward mapping efficiently but it may not be always able to solve the problem of reverse mapping. It is a novel attempt to conduct the forward and reverse mappings of a TIG welding process using fuzzy logic (FL)-based approaches and these are found to solve the said problem efficiently.

Performance of weld bead profile during A-TIG welding on nitrogen alloyed stainless steel

2021 ◽  
Author(s):  
Akash Deep ◽  
Vivek Singh ◽  
Som Ashutosh ◽  
M. Chandrasekaran ◽  
Dixit Patel
Keyword(s):  
Stainless Steel ◽  
Welding Process ◽  
Weld Bead ◽  
Tig Welding ◽  
Inert Gas ◽  
Bead Geometry ◽  
Depth Of Penetration ◽  
Weld Bead Geometry ◽  
A Tig Welding ◽  
Arc Welding Process

Abstract Austenitic stainless steel (ASS) is widely fabricated by tungsten inert gas (TIG) welding for aesthetic look and superior mechanical properties while compared to other arc welding process. Hitherto, the limitation of this process is low depth of penetration and less productivity. To overcome this problem activated tungsten inert gas (A-TIG) welding process is employed as an alternative. In this investigation the welding performance of conventional TIG welding is compared with A-TIG process using TiO2 and SiO2 flux with respect to weld bead geometry. The experimental investigation on A-TIG welding of ASS-201 grade shows TiO2 flux helps in achieve higher penetration as compared to SiO2 flux. While welding with SiO2 the hardness in HAZ and weld region higher than that of TIG welding process.

Optimization of A-TIG welding process parameters for RAFM steel using response surface methodology

2015 ◽  
Vol 232 (2) ◽  
pp. 121-136 ◽  
Author(s):  
P Vasantharaja ◽  
M Vasudevan
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Welding Process ◽  
Tig Welding ◽  
Depth Of Penetration ◽  
Bead Width ◽  
A Tig Welding ◽  
Input Variables ◽  
Haz Width

In the present work, the optimization of Activated TIG (A-TIG) welding process parameters to achieve the desired weld bead shape parameters such as depth of penetration, bead width, and heat-affected zone (HAZ) width have been carried out using response surface methodology (RSM). The main problem faced in fabrication of weld joints is the selection of optimum combination of input variables for achieving required quality of welds. This problem can be solved by development of mathematical model and execution of experiments by RSM. Central composite design of RSM has been used to generate the design matrix for generating data on the influence of A-TIG welding process parameters. The input variables considered were welding current, torch speed, electrode tip angle, and arc gap. The response variables considered were depth of penetration, bead width and HAZ width. A second-order response surface model is developed for predicting the response for the set of given input process parameters. Then, numerical and graphical optimization is performed using RSM to obtain the desired depth of penetration, bead width, and target HAZ width using desirability approach.

scholarly journals A Study on the Effect of Different Activating Flux on A-TIG Welding Process of Incoloy 800H

2016 ◽  
Vol 16 (3) ◽  
pp. 26-37 ◽  
Author(s):  
S.P. Sridhar ◽  
S. Arun Kumar ◽  
P. Sathiya
Keyword(s):  
Process Parameters ◽  
Welding Process ◽  
Tig Welding ◽  
Depth Of Penetration ◽  
Activating Flux ◽  
Incoloy 800H ◽  
A Tig Welding

Abstract This study investigates the effect of different activating flux such as V2O5, TiO2, MoO3, Cr2O3, and Al2O3 on A-TIG welding process of Incoloy 800H. The influence of the flux on the depth of penetration and on mechanical and metallurgical characteristics of the weld were studied and compared with autogeneous TIG welds which were welded with the same process parameters and conditions. The use of TiO2 flux gave full depth of penetration and the use of V2O5, Cr2O3 flux gave increased penetration as compared to autogeneous TIG welds while the use of Al2O3 and MoO3 led to the detoriation of the effect.

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