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Experimental Investigation of Welding Parameters for A MIG Welding With SS304 By Using Taguchi Method
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Experimental Investigation of Welding Parameters for A MIG Welding With SS304 By Using Taguchi Method
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 10 Issue: 11 | Nov -2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 805 Experimental Investigation of Welding Parameters for A MIG Welding With SS304 By Using Taguchi Method Mr. Sampariya Meru V.1, Mr. Rakesh H.Patel2 1Student, Dept. of Mechanical Engineering, Sankalchand patel university,Gujarat, India 2Professor, Dept. of Mechanical Engineering, Sankalchand patel university,Gujarat, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Many differenttypesofindustrialprocessesmake use of the Metal Inert Gas (MIG) weldingtechnique. Allthreeof these metrics—weld quality, productivity, and cost—are heavily dependent on the GMA welding parameters. The characteristics of the welded metal were assessed using the MIG technique. Using SS304 as my material of choice, I will study how changing the current, voltage, and wire speed impacts the width and height of the beads. With three distinct values for each input parameter, the experiment follows the architecture of a Taguchi L9 orthogonal array. In order to evaluate the results, we will run an analysis of variance (ANOVA) and choose the best settings based on the signal-to- noise ratio. This will validate the experimental outcome. Determine the input parameter's most significant impact on the output parameter. Keywords:Migwelding,Anova,Taguchimethod, Minitab, Stainless Steel. 1. INTRODUCTION When standard fabrication methods like casting, forging, rolling, extrusion, etc., are unable to produce the necessary component, joining the metal is the next best option.Although bolting is the most prevalent method of fastening, welding can sometimes make an item lighter. The following design parameters are being considered by all partner designers. Joining materials, typically metals or thermoplastics, is the goal oftheindustrial processknownas welding. To achieve this, the work components are melted together with or without filler material to create a pool of molten material called the weld pool. As the pool cools, it solidifies into a strong joint. Pressure, either alone or in combination with heat, is occasionally employed to create the weld. Gas flames, electric arcs, lasers, electron beams, friction,and ultrasonic are some of the energysourcesthatcanbeutilised in welding. Despite welding's association with industry, it can take place in a variety of settings, including the open air, underwater, and even space. Burns, electric shock, eye damage, inhalation of toxic fumesandgases,and exposureto high UV radiation are all possible outcomes of welding without proper safety measures. 2. OBJECTIVE I chose to conduct the experiment on SS304 sheet material, which has a thickness of 3 mm. The Taguchi Method With theL9Orthogonal ArrayThat Was Selected In order to analyse the experimental data, Minitab software is utilised. Figure out the MIG welding job's bead widthand beadheight before you start. Determine the optimal welding process parameters by analysing their effects on the shape of the weld bead. 3. DESIGN OF EXPERIMENT The goal of a DOE experiment is to determine the optimal combination of variables by defining and exploring all of the possible combinations. In this, many elements are stated along with their respective levels. Combining elements at suitable levels, each within its own acceptable range, to generate the greatest results while exhibiting minimal fluctuation around the optimal results is another valuable application of design of experiments. The variousconditions to be researched are laid out using the design of experiment. First, the number of trails has to be defined; second, the circumstances for each trail need to be stated; these two objectives must be met by an experiment design. Having a good understanding of the product or process being studied is crucial before coming up with an experiment design. This will help you discover the aspects that could potentially impact the result. An approach to finding and fixing process problems, determining which processfactorsaresignificant, and discovering the likelihood of estimating interactions is the Design of Experiments (DOE). 3.1Taguchi design Using an orthogonal array to organise the process parameters and the levels at which they should be varied, Taguchi proposes an experimental design that saves time and resources by collecting the necessary data to determine
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 10 Issue: 11 | Nov -2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 806 which factor most affects product quality with a minimum amount of experimentation. Process Parameters Input Parameter: Factor A : Welding Current (Amp) Factor B : Voltage (V) Factor C : Gas flow rate (LPM) Constant parameter: Work Piece Thickness Output Parameter: Bead Width Bead Height Table-1: Process Parameter Level Thickn ess Paramet ers Level1 Level2 Level3 3mm Welding Current 150 170 190 Voltage 23 25 27 Gas Flow Rate 12 15 18 Table-2: Taguchi Design Factor EX.NO. WELDING CURRENT (A) VOLTAGE (V) GAS FLOW RATE (LPM) 1 150 23 12 2 150 25 15 3 150 27 18 4 170 23 15 5 170 25 18 6 170 27 12 7 190 23 18 8 190 25 12 9 190 27 15 4. EXPERIMENTAL WORK 4.1 Working procedure Material selection Material testing Specimen preparation Experiment work Testing result Fig-1: MIG Welding Machine set-up 4.2 Work piece detail Because of its widespread use in the process industry, SS304 is the material chosen for this investigation. The chosen thickness for the material is 3 mm.According to ASTM guidelines, the specimen size that was chosen is 60 mm x 40 mm. Fig-2: The SS304 material thicknesses used for the work piece Welding performance of tig welding machine
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 10 Issue: 11 | Nov -2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 807 Fig-3: welded work Visual examinations verify work part penetration after welding. Insufficient penetration specimens are rejected. To explore how welding settings affect bead geometry, a travelling microscope measures bead width and height. Table-3: Experiment Work Ex. No. Welding Current Voltage Gas Flow Rate Bead Width Bead Height 1 40 23 2.4 5.12 4.17 2 40 25 3.2 4.53 4.30 3 40 27 4.0 4.95 4.14 4 40 23 4.8 4.55 4.12 5 60 25 2.4 5.21 4.62 6 60 27 3.2 4.64 4.56 7 60 23 4.0 5.08 5.03 8 60 25 4.8 5.22 4.92 9 70 27 2.4 5.88 5.00 Table-4: A ratio of SN for the width and height of beads EX.NO. BEAD WIDTH (mm) S/N RATIO B.W. BEAD HEIGHT (mm) S/N RATIO B.H. 1 4.00 -12.0412 2.01 -6.06392 2 3.57 -11.0534 1.71 -4.65992 3 3.93 -11.8879 1.82 -5.20143 4 4.19 -12.4443 3.03 -9.62885 5 3.62 -11.1742 1.57 -3.91799 6 3.94 -11.9099 1.75 -4.86076 7 4.86 -13.7327 1.51 -3.57954 8 4.35 -12.7698 1.15 -1.21396 9 4.20 -12.4650 1.47 -3.34635 5. CONCLUSION For this investigation, we used minitab and anova to determine the bead width and bead height on SS304 material with a 3mm plate thickness. Welding current and gas flow rate are used in the experiments carried out utilising the L9 orthogonal array. The experimental data was analysed using Minitab 16. Following conclusion have been drawn after analysis. Process parameter do not have same effect for every response. Significant parameter and its percentage contribution changes as per the behaviour of the parameter with objective response. As per experimental data minimum bead width(3.57mm) obtained at welding current 150 AMP, voltage 25 V & gas flow rate 15 LPM and maximum bead width (4.86 mm) obtained at welding current 190 AMP, voltage 23 V & gas flow rate 18 LPM. And minimum bead height (1.15 mm) obtained at welding current 190 AMP, voltage 25 V & gas flow rate 12 LPM and maximum bead height (3.03 mm) obtained at welding current 170 AMP, voltage 23 V & gas flow rate 15 LPM. From Anova analysis and experimental data i have conclude that most significant parameter is welding current on output parameters. Voltage & Gas flow rate is minmum effect on output parameterscomparetowelding current but voltage is more effect compare to gas flow rate. REFERANCES [1] Saadat Ali Rizvi , Wajahat Ali “Application of grey-based fuzzy logic algorithm in MIG welding-A case study”(2023) [2] Nabendu Ghosh, Pradip Kumar Pal, Goutam Nandi “Parametric Optimizationof MIGWeldingon316LAustenitic Stainless Steel by Grey-Based Taguchi Method”(2016) [3] Cynthia Samuel Abima , Stephen Akinwale Akinlabi , Nkosinathi Madushele , Esther Titilayo Akinlabi “ Comparative study between TIG-MIG Hybrid, TIG and MIG welding of 1008 steel joints for enhanced structural integrity”(2022)
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 10 Issue: 11 | Nov -2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 808 [4] Chetan A. Somani, D. I. Lalwani “ Experimental Investigation of TIG-MIG Hybrid Welding Process on Austenitic Stainless Steel”(2019) [5] Nabendu Ghosh, Ramesh Rudrapati, Pradip Kumar Pal, Gotam Nandi “Parametric Optimization of Gas Metal Arc Welding Process by using Taguchi method on Ferritic Stainless Steel AISI409”(2017) [6] Vijaya Sankar B, Daniel Lawrence I, Jayabal S “ Experimental Study and Analysis of Weld Parameters by GRA on MIG Welding”(2018) [7] Arunkumar Sivaraman, SathiyaPaulraj “Multi-Response Optimization of Process Parameters for MIG Welding of AA2219-T87 by Taguchi Grey Relational Analysis”(2017) [8] Walisijiang Tayier , ShaminiJanasekaran,Vijaya Prakash Vijayasree “ Evaluation of heat input and bead geometry of zincalume steel (G550) welded jointbetweenmetal inertgas (MIG) and laser beam welding (LBW)”(2021) [9] K. N. Wakchaure, A. G. Thakur, Vijay Gadakh, A. Kumar “ Multi-Objective Optimization of Friction Stir Welding of Aluminium Alloy 6082-T6 Using hybrid Taguchi-Grey Relation Analysis- ANN Method”(2018) [10] Sumit Das Lala, Ajay Biswas, John Debbarma, A.B. Deoghare “ Study of hardness of the weld bead formed by partial hybrid welding by metal inert gas welding and submerged arc welding at threedifferentheatinputs”(2017) [11] Sudhir Kumar, Rajender Singh “ Optimization of process parameters of metal inert gas welding with preheating on AISI 1018 mild steel using grey basedTaguchi method”(2019) [12] Rishabh Narang , Vibhu Maheshwari, Pradeep Khanna “ Prediction of bead geometry parameters in MIG welded stainless steel 409L plates by mathematical modelling”(2020) [13] Moustafa Boukraa, Nadhir Lebaal, Amina Mataoui, Abdelhakim Settar, Mouloud Aissani, Nacer Tala-Ighil “ Friction stir welding process improvementthroughcoupling an optimization procedure and three-dimensional transient heat transfer numerical analysis”(2018) [14] Nabendu Ghosh, Pradip Kumar Pal, Goutam Nandi and Ramesh Rudrapati “ Parametric Optimization of Gas metal arc welding process by PCA based Taguchi method on Austenitic Stainless Steel AISI 316L”(2018) [15] Sanjib Jaypuria , Trupti Ranjan Mahapatra , Sanjukta Sahoo , Omkar Jaypuria “ Effect of arc length trim and adaptive pulsed-MIG process parameters on bead profile of stainless steel with synergic power source”(2020)
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