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Experimental Analysis on TIG welding process parameters of SS304 By Using Taguchi Method
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Experimental Analysis on TIG welding process parameters of SS304 By Using Taguchi Method
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3423 Experimental Analysis on TIG welding process parameters of SS304 By Using Taguchi Method Mr. Rathava Rakesh S.1, Mr. Dilipkumar S.Patel 2 1Student, Dept. of Mechanical Engineering, Sankalchand patel university, Gujarat, India 2Professor, Dept. of Mechanical Engineering, Sankalchand patel university, Gujarat, India ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - Tungsten Inert Gas welding is one of the most widely used techniques for joining ferrous and non ferrous metal. The arc is generated between a non-consumable tungsten electrode and work-piece, Argon gas protects the molten metal form any chemical reactionwithhesurrounding environment. The SS304 material used for experimental work.In this project SS304 sheet material having 3 mm thickness will weld using TIG welding. Keywords: Tig welding, Anova,Taguchimethod, Minitab, Stainless Steel. 1. INTRODUCTION Welding, as opposed to lower-temperature metal-joining procedures like brazing and soldering,whichdo notmeltthe base metal, is a manufacturing or artistic approach that induces fusion between materials, primarily metals or thermoplastics. A filler material is frequently added to the joint in addition to melting the base metal to create a pool of molten material (the weld pool) that cools to form a joint that can be stronger than the base metal depending on the weld design (butt, full penetration, fillet, etc). (metal parent) To make a weld, pressure can be employed alone or in conjunction with heat. Welding also needs the employment of a shield to protect the filler metals or molten metals from contamination or oxidation. A welding junction is a point or edge that joins two or more metal or plastic parts together. They're created by joining two or more work components (metal or plastic) in a certain shape. Joints are divided into five types by the American Welding Society: butt, corner, edge, lap, and tee. These systems can have a number of arrangements at the joint, where real weldingcantakeplace. 2. OBJECTIVE I have selected SS304 sheet material With Thickness 3mm for carried out the experiment. I Will Use Taguchi Method With L16 Orthogonal Array Prepare L16 Base Tig Welding Job Find Out Output Parameter(Front Width, Back Width) of Welding Job With this work, analyse the effect of welding process parameters on weld bead geometry and optimise the process parameter. 3. DESIGN OF EXPERIMENT DOE is a technique of defining and investigating all the possible combinations in an experiment involving multiple factors and to identify the best combination.Inthis,different factors and their levels are identified. Design of experiments is also useful to combine factors at appropriate levels, each within the respective acceptable range to produce the best results and yet exhibit minimum variation around the optimum results. The design of experiment is used to develop a layout of the different conditions to be studied. An experiment design must satisfy two objectives: first the number of trails must be determined and second the conditions for each trail must be specified. Before designing an experiment, the knowledge of the product/processunder investigation is prime importance for identifying the factors likely to influence the outcome. The Design of Experiments (DOE) is a method to identify the important factors in a process, identify and fix the problem in a process, and also identify the possibility of estimation interactions. 3.1Taguchi design This experiment design proposed by Taguchi involves using orthogonal array to organize the parameters affecting the process and the levels at which they should be varied; it allows for the collection of the necessary data to determine which factor most affect product quality with a minimum amount of experimentation, thus saving time and resources. Process Parameters Input Parameter: 1. Factor A: Welding Current 2. Factor B: Gas Flow Rate Constant parameter: Work Piece Thickness Output Parameter: 1.Front Width 2.Back Width
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3424 Table-1: Process Parameter Level Thickn ess Paramet ers Level1 Level2 Level3 Level 4 3mm Welding Current 40 60 70 80 Gas Flow Rate 2.4 3.2 4.0 4.8 Table-2: Taguchi Design Factor Ex. No. Welding Current Gas Flow Rate Plate Thick Ness 1. 40 2.4 3 2. 40 3.2 3 3. 40 4.0 3 4. 40 4.8 3 5. 60 2.4 3 6. 60 3.2 3 7. 60 4.0 3 8. 60 4.8 3 9. 70 2.4 3 10. 70 3.2 3 11. 70 4.0 3 12. 70 4.8 3 13. 80 2.4 3 14. 80 3.2 3 15. 80 4.0 3 16. 80 4.8 3 4. EXPERIMENTAL WORK 4.1 Working procedure Material selection Material testing Specimen preparation Experiment work Testing result Fig-1: TIG Welding Machine set-up 4.2 Work piece detail For study SS304 is selected, as it has a very large scale application in the process industry. The material selected thicknesses as 3mm.The specimensizeselectedis60mm X 40mm as per ASTM standards. Fig-2: Thicknesses of work piece material of SS304 Welding performance of tig welding machine Fig-3: Welded Job After welding the work pieces, penetration is checked by visual observations. Specimens with improper penetration are rejected. The effect of welding parameters on Bead Geometry is studied by measuring front width and back width by using Travelling microscope
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3425 Table-3: Experiment Ex. No. Welding Current Gas Flow Rate Plate Thick Ness Front Width Back Width 1 40 2.4 3 5.12 4.17 2 40 3.2 3 4.53 4.30 3 40 4.0 3 4.95 4.14 4 40 4.8 3 4.55 4.12 5 60 2.4 3 5.21 4.62 6 60 3.2 3 4.64 4.56 7 60 4.0 3 5.08 5.03 8 60 4.8 3 5.22 4.92 9 70 2.4 3 5.88 5.00 10 70 3.2 3 5.62 5.12 11 70 4.0 3 5.22 5.02 12 70 4.8 3 5.55 5.07 13 80 2.4 3 5.97 5.40 14 80 3.2 3 5.83 5.42 15 80 4.0 3 5.87 5.04 16 80 4.8 3 5.72 4.82 5. CONCLUSION In present study parametric analysishasbeencarriedout for front width and back width on SS304 material. Experiments are carried out using Taguchi Method by varying welding current and gas flow rate for 3mm thickness of SS304 material. Minitab 16 software was used for analyze the experimental data. We have concluded that at weldingcurrent(80A)and gas flow rate(2.4 LPM), at that point measure the maximum F.W.(5.97mm) and welding current(40A) and gas flow rate(3.2 LPM), at that point measure the minimum F.W.(4.53 mm).and at the welding current(80A),gasflow rate(3.2 LPM), at that point measure the maximum B.W.(5.42 mm) and welding current(40A), gas flow rate(4.8 LPM), at that point measure the minimum B.W.(4.12 mm) Welding current increase with increase front width and gas flow rate increase with increase front width up to certain limit then after decrease. Welding current increase with increase front width and gas flow rate increase with increase front width up to certain limit then after decrease From the ANNOVA Analysis and experimental resultdata we have conclude that effect of gas flow rate is minimum and effect of welding current is maximum on front width and back width for 3mm thickness plate REFERANCES [1] Asif Ahmad, Shahnawaj Alam “Integration of RSM with Grey based Taguchi Method for optimization of pulsed TIG welding process parameters”(2019) [2] Pramod Kumar , Rajesh Kumar, Abdul Arif,M.Veerababu “Investigation of numerical modelling of TIG welding of austenitic stainless steel (304L)” (2020) [3] Pramod Kumar , Abdul Arif , A. Chiranjeevi V.S. Prasad , Puli Danaiah , Akhilesh Kumar Singh , Mohan Patro , K. Sivarama Kishore , M. Murugan “Study of Welding process parameter in TIG joining of Aluminum Aolly (6061)”(2021) [4] Sanjay Kumar, Satyasreet Jena, Varun Lahot2, M.K.Paswan. B. Sharma, D.Patel,S.B.Prasad, Vinod Kumar Sharma. “Experimental investigationonthe effectofwelding parameters of TIG welded joints using ANOVA” (2020) [5] K.S.Pujari, D.V.Patil Gurunath.Mewundi, “Selection of GTAW process parameter and optimizing the weld pool geometry for AA 7075-T6 Aluminium alloy”, ( 2018 ) [6] M. Venkata Ramana , B.V.R. Ravi Kumar , M. Krishna , M. Venkateshwar Rao , V.S. Kumar, “Optimizationandinfluence of process parameters of dissimilar SS304L- SS430 joints produced by Robotic TIG welding”, (2019) [7] Zhandong Wan , Danyang Meng , Yue Zhao , Dengkui Zhang , Qiang Wang , Jiguo Shan , Jianling Song , Guoqing Wang , Aiping Wu, “ Improvement on the tensile properties of 2219-T8 aluminum alloy TIG welding joint with weld geometry optimization” , (2021) [8] Balram Yelamasetti , G. Rajyalakshmi, “Effect of TIG, pulsed TIG and Interpulse TIG welding techniques on weld strength of dissimilar joints between Monel 400 and AISI 316, (2019) [9] Arun Kumar Srirangan, Sathiya Paulraj, “Multi-response optimization of process parameters for TIG welding of Incoloy 800HT by Taguchi grey relational analysis”, (2015) [10] M. Ramarao , M. Francis Luther King , A. Sivakumar , V. Manikandan , M. Vijayakumar , Ram Subbiah, “Optimizing GMAW parameters to achieve high impact strength of the dissimilar weld joints using Taguchi approach ,(2021)
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International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 09 Issue: 05 | May 2022 www.irjet.net p-ISSN: 2395-0072 © 2022, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3426 [11] Amit Kumar,M K Khurana and Gaurav Singh, “Modeling and Optimization of Friction Stir Welding Process Parameters for Dissimilar Aluminium Alloys”, (2018) [12] Ajay Prakash Pasupulla , Habtamu Abebe Agisho , Suresh Seetharaman, S. Vijayakumar, “Characterization and analysis of TIG welded stainless steel 304 alloy plates using radiography and destructive testing techniques”, (2021) [13] Chao Chen, Chenglei Fan, Xiaoyu Cai, Sanbao Lin, Zeng Liu, Qingkai Fan, Chunli Yang, “Investigation of formation and microstructure of Ti-6Al-4V weld bead during pulse ultrasound assisted TIG welding”, (2019) [14] Daniel Bacioiu, GeoffMelton,MayorkinosPapaelias,Rob Shaw, “Automated defect classificationofSS304TIGwelding process using visible spectrum camera and machine learning”, (2019) [15] 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)
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