Optimization of TIG Welding Process Parameters for X70-304L Dissimilar Joint Using Taguchi Method

2019 ◽  
Vol 297 ◽  
pp. 51-61 ◽  
Author(s):  
Mohamed Farid Benlamnouar ◽  
Mohamed Hadji ◽  
Riad Badji ◽  
Nabil Bensaid ◽  
Taher Saadi ◽  
...  
Keyword(s):  
Taguchi Method ◽  
Gas Flow ◽  
Welding Process ◽  
Tig Welding ◽  
Experimental Designs ◽  
Dissimilar Joint ◽  
Dissimilar Welding ◽  
Welding Parameter ◽  
Welding Parameters ◽  
Dissimilar Weld

The optimization of mechanical properties of the welded joints requires a statistical approach such as Taguchi experimental designs associated with experimental techniques and laboratory characterizations. The aim of this work is to propose a method of optimization of the mechanical performances of a TIG dissimilar welding of two grades of steels: a high strength low alloy steel X70 and an austenitic stainless steel 304L. The experimental designs were chosen according to the Taguchi method L9. The metallurgical characterization includes optical microscopy, SEM microscopy, EDX analyses and mechanical tests to establish a relationship between welding parameters, microstructures and mechanical behavior in different zones of a dissimilar weld joint. The results showed that the hardness is more strongly related to microstructural evolution than tensile strength of dissimilar joint. It was found that gas flow is the main significant TIG welding parameter affecting dissimilar weld characteristics.

scholarly journals Influence of Welding Parameters On Grain Size, Haz and Degree of Dilution in 6063-t5 Alloy. Optimisation Through the Taguchi Method of the Gmaw Welding Process.

2022 ◽  
Author(s):  
Jose Luis Meseguer Valdenebro ◽  
Eusebio José Martínez Conesa ◽  
Antonio Portoles
Keyword(s):  
Grain Size ◽  
Taguchi Method ◽  
Heat Affected Zone ◽  
Welding Process ◽  
Welding Parameter ◽  
Welding Parameters ◽  
Taguchi’S Method ◽  
Gmaw Welding ◽  
Made In

Abstract The aim of this work is to carry out the design of experiments that determine the influence of the welding parameters using Taguchi’s method on the grain size, HAZ, and the degree of dilution in 6063-T5 alloy. The welding process used is GMAW and the welding parameters are power, welding speed and bevel spacing. The study of the influence of the welding parameters on the measurements made in the welding (which are the size of heat affected zone, the degree of dilution, and the grain size) allows one to determine the quality of the joint . In addition, the welding parameter most influential in minimising the three measurements will be determined.

INVESTIGATION OF TENSILE BEHAVIOUR OF TIG WELDED 316 STAINLESS STEEL USING TAGUCHI TECHNIQUES

2019 ◽  
Vol 14 (4) ◽  
Author(s):  
Karthimani T ◽  
Babu N
Keyword(s):  
Stainless Steel ◽  
Welding Speed ◽  
Gas Flow ◽  
Welding Process ◽  
Welding Current ◽  
Tig Welding ◽  
Filler Material ◽  
Tensile Behaviour ◽  
Welding Parameters ◽  
Taguchi Technique

This works aims at the analysis and optimization of joining similar grades of stainless steel by TIG welding. TIG welding may use a filler material. There is a variant in the process which does not require filler material. Such process is known as Autogenous TIG welding process. The parameters like current, welding speed and gas flow rate are the variables in the study. The objective of this research is to determine the influence of various welding parameters on the weld bead of 316 SS by using Taguchi technique. A plan of experiments based on Taguchi technique method has been carried out. Orthogonal array, signal to noise (S/N) Ratio, Analysis of variance (ANOVA) are employed for studying the welding characteristics of material & to optimize the weld parameters. The result obtained are the output from each parameter, through which optimal parameters are found out for maximum tensile strength. It is found that -welding current followed by welding speed are major parameters influencing mechanical properties of welded joint

scholarly journals Comparison between PCA analysis and Grey based Taguchi analysis of TIG welding process parameters on Duplex stainless steel

2021 ◽  
pp. 67-74
Author(s):  
Sandip Mondal ◽  
Goutam Nandi ◽  
Pradip Kumar Pal
Keyword(s):  
Stainless Steel ◽  
Duplex Stainless Steel ◽  
Process Parameters ◽  
Gas Flow ◽  
Welding Process ◽  
Principal Component ◽  
Welding Current ◽  
Tig Welding ◽  
Welding Parameters ◽  
Welding Quality

Tungsten inert gas (TIG) welding on Duplex stainless steel (DSS) is more easy, comfortable and useful, if the process is precisely understood and controlled through development of the science & technology. TIG welding on DSS has been performed with the help of specific controlled welding process parameters. Welding quality has been strongly depended on these process parameters. In this study, some valuable welding parameters are chosen. These are welding current, shielding gas flow rate and speed of welding. These process parameters of TIG welding for ASTM/UNS 2205 DSS welds are optimized by using Principal Component Analysis (PCA) method and Grey based Taguchi’s L9 Orthogonal array (OA) experimental plan with the conception of signal to noise ratio (N/S). After that, compression results of above mentioned two analyses of TIG welding process parameters have been calculated. The quality of the TIG welding on DSS has been evaluated in term of ultimate tensile strength, yield strength and percentage of elongation. Compression results of both analyses indicate application feasibility for continuous improvement of welding quality on DSS in different components of chemical, oil and gas industries.

Effect of Activating Flux and Welding Parameters on Performance of Aluminum Alloy Weldment in GTA Welding Process

2011 ◽  
Vol 117-119 ◽  
pp. 1900-1904
Author(s):  
Hsuan Liang Lin ◽  
Hung Wei Juang ◽  
Jia Ching Yan
Keyword(s):  
Aluminum Alloy ◽  
Taguchi Method ◽  
Welding Process ◽  
Gta Welding ◽  
Weld Bead ◽  
Welding Parameter ◽  
Welding Parameters ◽  
Alloy Plate ◽  
6061 Aluminum Alloy ◽  
Activating Flux

The purpose of this work was to investigate the effect of activating fluxes and welding parameter to the penetration and depth-to-width ratio (DWR) of 6061 aluminum alloy welds. Bead-on-plate argon gas tungsten arc (GTA) welding process was made on 6061 aluminum alloy of plate without filling metals. The activating fluxes used in the experiment were CaO, ZnO, SiO2, TiO2, Al2O3, Cr2O3, CaF2 and Na2CO3. Based on the higher penetration of weld bead and welding arc voltage, four fluxes were selected to create three new mixtures using 50% of each original fluxes. The mixed fluxes were used to investigate the effect to the welding penetration. Finally, The Taguchi method was employed to achieve optimal DWR of weld bead and investigate the welding parameters that significantly affect welding quality. The experimental procedure of GTA welding with activating flux via the Taguchi method produced full penetration of weld bead on a 6.35 mm thickness of 6061 aluminum alloy plate with single pass weld.

Parametric Studies on TIG Welding of 316L Stainless Steel by RSM and TLBO

2019 ◽  
Vol 969 ◽  
pp. 744-749 ◽  
Author(s):  
Shubhash Chandra Moi ◽  
Ramesh Rudrapati ◽  
Asish Bandyopadhyay ◽  
Pradip Kumar Pal
Keyword(s):  
Gas Flow ◽  
Welding Process ◽  
Austenitic Stainless Steels ◽  
Welding Current ◽  
Tensile Tests ◽  
Tig Welding ◽  
Welding Parameters ◽  
Welding Operation ◽  
Input Parameters ◽  
Contour Plots

Present study is planned to analyze the effects of welding process parameters on quality characteristics of TIG welded 316L austenitic stainless steels (ASS). The input parameters considered in the study are: welding current, speed and gas flow rate. Butt-joints of ASS sheets have been made as per Box-Behnken design of response surface methodology (RSM). After welding operation, tensile tests have been conducted on welded samples and observations of ultimate tensile strength (UTS) has been noted. Mathematical modeling has been made to relate the input parameters and output response by RSM. Teaching leaning-based optimization (TLBO) approach has been used to optimize the UTS. The influences of input welding parameters on UTS has been studied and analyzed through contour plots. Confirmatory tests have been conducted to validate the predicted parametric condition obtained by integrated RSM and TLBO. From the study, it is found that RSM and TLBO is efficient to maximize UTS in TIG welding operation.

An Investigation of Dissimilar Welding Aluminum Alloys to Stainless Steel by the Tungsten Inert Gas (TIG) Welding Process

2017 ◽  
Vol 904 ◽  
pp. 19-23
Author(s):  
Van Nhat Nguyen ◽  
Quoc Manh Nguyen ◽  
Dang Thi Huong Thao ◽  
Shyh Chour Huang
Keyword(s):  
Stainless Steel ◽  
Aluminum Alloy ◽  
Welding Process ◽  
Dissimilar Materials ◽  
Welding Current ◽  
Tig Welding ◽  
Inert Gas ◽  
Dissimilar Welding ◽  
Adjacent Area ◽  
Welding Seam

Welding dissimilar materials has been widely applied in industries. Some of them are considered this as a strategy to develop their future technology products. Aluminum alloy and stainless steel have differences in physical, thermal, mechanical and metallurgic properties. However, selecting a suitable welding process and welding rods can solve this problem. This research aimed to investigate the T-joint welding between A6061 aluminum alloy and SUS304 stainless steel using new welding rods, Aluma-Steel by the Tungsten Inert Gas (TIG) welding process. The mechanical properties, the characteristics of microstructure, and component analysis of the welds have been investigated by the mechanical testing, scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS). As a result, the fracture occurred at the adjacent area between welding seam and A6061 alloys plate. The thermal cracking appeared at central welding-seam along the base metals if high welding current. A large amount of copper elements found in the welds due to using the new welding rod, Aluma-Steel rod.

scholarly journals Comprehensive Analysis of TIG Welded Inconel–718 Alloy for Different Heat Input Conditions

2018 ◽  
Vol 7 (3.6) ◽  
pp. 206
Author(s):  
P Jerold Jose ◽  
M Dev Anand
Keyword(s):  
Tensile Properties ◽  
Heat Input ◽  
Inconel 718 ◽  
Welding Process ◽  
Welding Current ◽  
Tig Welding ◽  
Welding Parameters ◽  
Inconel 718 Alloy ◽  
Weld Joints ◽  
Welding Heat Input

In this research, the effects of heat input on tensile properties and microstructure were investigated for super alloy Inconel-718 sheets weld by Tungsten Inert Gas (TIG) welding process. The tensile properties and microstructure of weld joints were evaluated. The experiment was conducted with six different combinations of welding parameters like welding current, voltage and welding speed, which were give in six different welding heat input combinations of welding parameters. The experimental results shows that the welding joints weld with low welding heat input was yield higher tensile properties. From the experimentation it was understand that the tensile properties increases when the welding heat input decrease. Drastic grain coarsening was evidenced when the heat input was increases. For the weld joints experimented in this research it was also observed that amount of laves phase was increased with increase in the welding heat input which is the major fact for noticeable variation in the ultimate tensile strength of the weld joints welded by TIG welding process with different welding heat input. 

Effects of Welding Parameters in Micro Friction Stir Lap Welding of Aluminum A1100

2013 ◽  
Vol 789 ◽  
pp. 356-359 ◽  
Author(s):  
Ario Sunar Baskoro ◽  
A.A.D. Nugroho ◽  
D. Rahayu ◽  
Suwarsono ◽  
Gandjar Kiswanto ◽  
...  
Keyword(s):  
Tilt Angle ◽  
Welding Process ◽  
Tool Material ◽  
Tensile Load ◽  
Welding Parameter ◽  
Welding Parameters ◽  
Friction Stir Lap Welding ◽  
Friction Stir ◽  
Lap Welding ◽  
Welding Processes

Technology of Friction Stir Welding (FSW) as a technique for joining metal is relatively new. In some cases on Aluminum joining, FSW gives better results compared with the Arc Welding processes, including the quality of welds and less distortion. FSW can even use milling machine or drilling machine, by replacing the tools and the appropriate accessories. The purpose of this study is to analyze the effect of process parameters onmicro Friction Stir Lap Weldingto the tensile load of welds. In this case, Aluminum material A1100, with thickness of 0.4 mm was used. Tool material of HSS material was shaped with micro grinding process. Tool shoulder diameter was 3 mm, while the diameter pin was 2 mm and a length of pin was 0.7 mm. The parameter variations used in this study were the variable of spindle speed (2300, 2600, and 2900 rpm), variable oftooltilt angle(0, 1, 2 degree) and a variable ofFeed rate(50, 60, 70 mm/min). Where the variation of these parameters will affect to the mechanical properties of welds (as response) was the tensile load. Analysis and optimization parameters between the micro FSLW parameters with the tensile load of welds, is used aResponse Surface Methods(RSM). From the result of experiment and analysis, it is shown that the important welding parameter in Micro Friction Stir Lap welding process is tilt angle.

scholarly journals Optimization of TIG Welding Parameters for the 202 Stainless Steel Using NSGA-II

2020 ◽  
Vol 8 (4) ◽  
Author(s):  
Neeraj Sharma ◽  
◽  
Wathiq Sleam Abduallah ◽  
Manish Garg ◽  
Rahul Dev Gupta ◽  
...  
Keyword(s):  
Tensile Strength ◽  
Flow Rate ◽  
Gas Flow ◽  
Welding Process ◽  
Welding Current ◽  
Welding Parameters ◽  
Shielding Gas ◽  
Gas Flow Rate ◽  
Electrode Diameter ◽  
Weld Region

Tungsten Inert Gas welding is a fusion welding process having very wide industrial applicability. In the present study, an attempt has been made to optimize the input process variables (electrode diameter, shielding gas, gas flow rate, welding current, and groove angle) that affect the output responses, i.e., hardness and tensile strength at weld center of the weld metal SS202. The hardness is measured using Vicker hardness method; however, tensile strength is evaluated by performing tensile test on welded specimens. Taguchi based design of experiments was used for experimental planning, and the results were studied using analysis of variance. The results show that, for tensile strength of the welded specimens, welding current and electrode diameter are the two most significant factors with P values of 0.002 and 0.030 for mean analysis, whereas higher tensile strength was observed when the electrode diameter used was 1.5 mm, shielding gas used was helium, gas flow rate was 15 L/min, welding current was 240A, and a groove angle of 60o was used. Welding current was found to be the most significant factor with a P value of 0.009 leading to a change in hardness at weld region. The hardness at weld region tends to decrease significantly with the increase in welding current from 160-240A. The different shielding gases and groove angle do not show any significant effect on tensile strength and hardness at weld center. These response variables were evaluated at 95% confidence interval, and the confirmation test was performed on suggested optimal process variable. The obtained results were compared with estimated mean value, which were lying within ±5%.

Study on the Predictive Model for Shear Strength in Laser Welding Stainless Steel

2006 ◽  
Vol 505-507 ◽  
pp. 205-210
Author(s):  
Wen T. Chien ◽  
S.W. Chang
Keyword(s):  
Stainless Steel ◽  
Shear Strength ◽  
Taguchi Method ◽  
Laser Welding ◽  
Predictive Model ◽  
Welding Speed ◽  
Welding Parameter ◽  
Average Error ◽  
Welding Parameters ◽  
Neuron Network

A predictive model is presented for the prediction of shear strength in laser welding AISI304 stainless steel. Welding experiments conducted using a pulsed Nd:YAG laser machine while the laser welding parameters and their levels have been arranged according to design of experiments of Taguchi method. The tensile tests are performed after welding and the measurements of tensile strength are further calculated for shear strength. The data can be analyzed using the principles of Taguchi method for determining the optimal laser welding parameters and for investigating the most significant laser welding parameter on shear strength. Furthermore, the results are treated as the training and recalling patterns for constructing a predictive model using back-propagation neuron network to predict shear strength for the range of laser welding operation tested. It is indicated that welding speed is the most significant affecting parameters on shear strength. In addition, an increase in welding speed causes a decrease in shear strength is found. An average error 5.75％for shear strength can be found by comparing the experimental results obtained from conducting verification tests with the predicting values obtained from the established predictive model. It shows that the predictive model is capable of good predicting behavior of laser welding AISI304 stainless steel.

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