Metal inert gas (MIG) welding process: A study of effect of welding parameters

2021 ◽  
Author(s):  
K.R. Madavi ◽  
B.F. Jogi ◽  
G.S. Lohar
Keyword(s):  
Welding Process ◽  
Inert Gas ◽  
Welding Parameters ◽  
Mig Welding

CO2 Laser - MIG Hybrid Welding of Titanium Alloy

2011 ◽  
Vol 264-265 ◽  
pp. 1270-1280
Author(s):  
Marco Brandizzi ◽  
Annunziata Anna Satriano ◽  
Luigi Tricarico
Keyword(s):  
Titanium Alloy ◽  
Cross Section ◽  
Working Conditions ◽  
Welding Process ◽  
Inert Gas ◽  
Welding Parameters ◽  
Hybrid Welding ◽  
Mig Welding ◽  
Butt Welding ◽  
Gap Bridging

CO2 laser - Metal Inert Gas (MIG) hybrid welding process was investigated in the butt welding of Ti-6Al-4V titanium alloy sheets of 3.0mm in thickness. Using a Design of Experiment (DoE) approach, bead on plate tests were planned with the aim to analyze the effect of laser and laser-MIG welding parameters on the bead shape, hardness profiles in the weld cross section and welding efficiency. Butt welds performed in correspondence of the bead on plate working conditions which assure the complete penetration of the samples, the absence of undercuts and the maximum welding efficiency, confirm the results of the bead on plate tests and highlights the gap bridging ability of the hybrid welding process.

scholarly journals Peningkatan Kedalaman Penetrasi Las Stainless Steel 304 dengan Medan Magnet Eksternal pada Pengelasan Autogenous Tungsten Inert Gas Welding

2021 ◽  
Vol 12 (1) ◽  
pp. 87
Author(s):  
Haikal Haikal ◽  
Moch. Chamim ◽  
Deni Andriyansyah ◽  
Apri Wiyono ◽  
Ario Sunar Baskoro ◽  
...  
Keyword(s):  
Magnetic Field ◽  
External Magnetic Field ◽  
Welding Speed ◽  
Weld Line ◽  
Welding Process ◽  
Welding Current ◽  
Field Method ◽  
Inert Gas ◽  
Welding Parameters ◽  
Bead Width

<p class="Abstract">In this study, research on the use of the External Magnetic Field method – Tungsten Inert Gas was done to determine the effect of welding arc compression on the quality of <em>AISI 304 </em>thin plate weld. The welding process was performed using autogenous welds. In this study, an external magnetic field was generated by placing a magnetic solenoid around the <em>TIG</em> welding torch. Enabling this electromagnetic field is done dynamically using a microcontroller. Welding parameters used are welding current <em>100; 105; 110 A</em> and welding speed <em>1.6; 1.8; 2.05 mm/s</em>. The results of this study showed that <em>EMF-TIG</em> welding can produce a more uniform bead width along the weld line with a standard deviation of 0.08 compared with conventional <em>TIG </em>welding of <em>0.12</em>. Increased welding speed of  <em>2.05 mm/s</em> causes no effect on the addition of an external magnetic field to the width of the weld bead. The current parameters are <em>105 A </em>with a speed of <em>1.6; 1.8; 2.05 mm/s</em> resulted in compression of the top bead width by <em>0.87; 0.61; 0.1 mm</em>. The welding parameters with a current of 105 A and welding speed of <em>1.6 mm/s</em> have a larger upper bead compression effect of <em>0.84 mm</em> compared to <em>110 A</em> currents of <em>0.38 mm</em>. Moreover, the <em>D/W</em> ratio obtained under an external magnetic field was higher than without magnetic.</p>

A Cost Model for the Metal Inert Gas (MIG) Welding Process

2007 ◽  
Author(s):  
Pradeep Kumar Tipaji ◽  
Venkat Allada ◽  
Rajiv Mishra
Keyword(s):  
Cost Estimation ◽  
Material Selection ◽  
Cost Model ◽  
Welding Process ◽  
Inert Gas ◽  
Mig Welding ◽  
Estimation Model ◽  
Cost Component ◽  
Cost Estimation Model ◽  
The Cost

A cost model is an important tool for product design and material selection. An efficient and effective cost estimation tool is necessary for early design evaluations. In this paper, a cost estimation model is presented that estimates the production cost for metal inert gas (MIG) welded joints. This model determines the cost incurred in fabricating each joint with a detailed explanation of each cost component / driver. Each cost component has been closely analyzed and the major cost components have been included in the cost model. We used this cost model to predict the cost of the forty two different joints joined using MIG welding technique. The results predicted by the MIG welding cost model have been compared to that quoted by an expert welder. Initial results show that the cost model and the expert cost estimates follow a similar general trend. Further study is needed to refine the MIG cost model.

A New Direction for Optimizing the Weld Pool Geometry in Welding of HSLA Steel

2015 ◽  
Vol 4 (2) ◽  
Author(s):  
Rajesh Singh ◽  
Gaurav Yadav
Keyword(s):  
Taguchi Method ◽  
Weld Pool ◽  
Hsla Steel ◽  
Experimental Studies ◽  
Welding Process ◽  
Inert Gas ◽  
Welding Parameters ◽  
Feed Speed ◽  
Weld Pool Geometry ◽  
Metal Inert Gas Welding

This paper reports on process parameter selection for optimizing the weld pool geometry in the metal inert gas welding of High strength low alloy (HSLA) steel. The experimental studies were conducted under varying Voltage, flow rate, stick out and wire feed speed. The settings of welding parameters were determined by using the Taguchi experimental design method. The level of importance of the welding parameters on the weld pool geometry is determined by using analysis of variance (ANOVA). The optimum welding parameter combination was obtained by using the analysis of signal-to-noise (S/N) ratio. The confirmation tests indicated that it is possible to optimize the weld pool geometry significantly by using the Taguchi method. The experimental results confirmed the validity of the used Taguchi method for enhancing the welding performance and optimizing the welding parameters in the metal inert gas welding process.

MIG-Welding of Dissimilar Advanced High Strength Steel Sheets

2017 ◽  
Vol 885 ◽  
pp. 80-85 ◽  
Author(s):  
Eszter Kalácska ◽  
Kornél Májlinger ◽  
Enikő Réka Fábián ◽  
Pasquale Russo Spena
Keyword(s):  
Automobile Industry ◽  
Welding Process ◽  
High Strength Steels ◽  
High Strength ◽  
Tensile Specimen ◽  
Dissimilar Welding ◽  
Welding Parameters ◽  
Mig Welding ◽  
Advanced High Strength Steels ◽  
Steel Sheets

The need for steel materials with increasing strength is constantly growing. The main application of such advanced high strength steels (AHSS) is the automobile industry, therefore the welding process of different types of AHSSs in dissimilar welding joint was investigated. To simulate the mass production of thin steel sheet constructions (such as car bodies) automated metal inert gas (MIG) welding process was used to weld the TWIP (twinning induced plasticity) and TRIP (transformation induced plasticity) steel sheets together. The welding parameters were successfully optimized for butt welded joints. The joints were investigated by visual examination, tensile testing, quantitative metallography and hardness measurements. The TRIP steel side of the joints showed increased microhardness up to (450-500 HV0.1) through increased fraction of bainite and martensite. Macroscopically the tensile specimen showed ductile behaviour, they broke in the austenitic weld material.

scholarly journals Optimization of TIG Process Parameter in Improving Mechanical Properties of S304 Stainless Steel Using a Grey Based Taguchi Method

2021 ◽  
pp. 77-85
Author(s):  
Naveen Pandey ◽  
Dinesh Dubey
Keyword(s):  
Stainless Steel ◽  
Cold Work ◽  
Welding Process ◽  
Process Parameter ◽  
Inert Gas ◽  
Welding Parameter ◽  
Welding Parameters ◽  
Optimum Level ◽  
Taguchi’S Design Of Experiments ◽  
Selection Of

Tungsten inert gas welding is popular known welding technique for ferrous & nonferrous. Stainless steel grade 3HQ (S30430) is a specialized wire grade with very wide usage for manufacturer of stainless steel fastener. It has now totally replaced Grade 384 and 305 for heading application. The stable austenitic structure makes 302HQ nonmagnetic, even after substantial cold work, and also results in excellent toughness, even down to cryogenic temperatures. This paper attempts in optimizing the Tungsten Inert Gas (TIG) welding process parameter. The effect of various parameters and their influence is important to determine the strength of welded joint. To obtain a good quality weld, it is therefore, essential to control the input welding parameters. Therefore appropriate selection of input welding parameter is necessary in order to obtain a good quality weld and subsequently increase the productivity of manufacturing industry. This paper present multi objective optimization using grey relation analysis (GRA) for S30430 with TIG process to determine the suitable selection of parameters Experiment were conducted according to Taguchi's design of experiments (DOE) with orthogonal array L9 is used, mathematical model was developed using parameters such as speed (mm/min), current (Amp), voltage (V), depth of penetration (mm). After conducting experiment and collecting data, signal to noise ratio were determined by using Minitab18 and it is used to obtain optimum level for every input parameter.

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