An experimental study on optimizing for tandem gas metal arc welding process

• Autorzy: Lee J. P. , Park M. H. , Kim D. H. , Jin B. J. , Shim J. Y. , Kang B. Y. , Kim I. S.
• Języki publikacji: EN

Abstrakty

EN

Purpose: To enhance productivity and provide high quality production material in a GMA welding process, weld quality, productivity and cost reduction affects the number of process variables. In addition, a reliable welding process and conditions must be implemented to reduce weld structure failure. Design/methodology/approach: The research investigates the interaction between the welding parameters (welding speed, distance between electrodes, and flow rate of shielding gas) and bead geometry for predicting the weld bead geometry (bead width, bead height). Taguchi techniques are applied to bead shape to develop curve equation for predicting the optimized process parameters and quality characteristics by analysing the S/N ratio. Findings: The experimental results and measured error is within the range of 10% presenting satisfactory accuracy. The curve equation was developed in such a way that you can predict the bead geometry of constructed machinery that can be used for making tandem welding process. Research limitations/implications: In various industries the welding process mathematical model is not fully formulated for the process parameter and on the welding conditions, therefore only partial variables can be predicted. Originality/value: This paper focused on the anode-cathode distance that can prevent arc blow in tandem GMA welding process. We also analysed the welding quality characteristics according to the bead geometry and welding parameters through S/N ratio dependent on the welding speed and flow rate variation of shielding gas. Finally, a mathematical model being able to predict the welding quality based on the given welding parameters using statistical method has been developed.

Słowa kluczowe

EN

GMA welding; mathematical model; S/N ratio; Taguchi technique; Tandem welding

PL

spawanie GMA; model matematyczny; techniki Taguchi; spawanie Tandem

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2015
• Tom: Vol. 68, nr 2
• Strony: 72--79
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Lee J. P.

• Department of Mechanical Engineering, Mokpo National University, 1666 Youngsan-ro, Chungkye-myun, Muan-gun, Jeonnam, 534-729, South Korea

autor

Park M. H.

• Department of Mechanical Engineering, Mokpo National University, 1666 Youngsan-ro, Chungkye-myun, Muan-gun, Jeonnam, 534-729, South Korea

autor

Kim D. H.

• Department of Mechanical Engineering, Mokpo National University, 1666 Youngsan-ro, Chungkye-myun, Muan-gun, Jeonnam, 534-729, South Korea

autor

Jin B. J.

• Department of Mechanical Engineering, Mokpo National University, 1666 Youngsan-ro, Chungkye-myun, Muan-gun, Jeonnam, 534-729, South Korea

autor

Shim J. Y.

• Environmentally Materials & Components Center, KITECH, Palbok-dong 2-ga, Deokijin-du, Jeonju City, Jeollabuk-do 561-212, South Korea

autor

Kang B. Y.

• Environmentally Materials & Components Center, KITECH, Palbok-dong 2-ga, Deokijin-du, Jeonju City, Jeollabuk-do 561-212, South Korea

autor

Kim I. S.

• Department of Mechanical Engineering, Mokpo National University, 1666 Youngsan-ro, Chungkye-myun, Muan-gun, Jeonnam, 534-729, South Korea

Bibliografia

• [1] J. Crouch, Expert system to optimize the selection of shielding gas Welding Review 11/3 (1992) 123-124.
• [2] G.L. Lovegrove, G.J. Curtis, R.A. Farrar, Applications for Artificial Intelligence Expert Systems, ACM (1990) 653-659.
• [3] W. Lucas, A.D. Brightmore, Welding Quality, The Role of computers, IIW (1988) 141-157.
• [4] H.J. Yi, S.S. Kang, G.B. Yu, W.H. Bae, H.S. Moon, Comparison of Mechanical Properties and Microstructural Charateristies of Tandem GMAW Weld Metal in 490MPa Grade Steel, KWJS 27/2 (2009) 76-81.
• [5] H.W. Choi, J.S. Yang, S.M. Cho, A Study on the High Speed One Side Tandem Flux Cored Arc Welding, KWJS (1999) 156-160.
• [6] C.E. Park, I.S. Kim, Y.J. Chung, C.J. Song, Y.S. Lee, A. Basu, Analysis of Process Parameter On Weld Bead Geometry, International Conference on Mechanics of Structures, Material, and Systems, University of Wollongong, Australia 17, 19 (1999) 271-278.
• [7] S.J. Mulligan, G.B. Melton, An Assessment of the Tandem MIG-MAG Welding Process, TWI report, (2002) 745.
• [8] S.G. Hong, J.B. Lee, Effects of Welding Parameters on Penetration Depth in CO2 Laser-GMA Hybrid Welding, Journal of KWS 22/1 (2004) 38-42.
• [9] H.C. Wikle, S. Kottilingam, R.H. Zee, B.A. Chin, Infrared sensing techniques for penetration depth control of the submerged arc welding process, Journal of Materials Processing Technology 113 (2001) 228-233.
• [10] S.J. Park, S.K. Nam, C.G. Kweon, Prediction of Weld Penetration and Deposited Metal Area in Accordance with Weld Parameters in Tandem Submerged Arc Welding Process, Journal of KWJS 29/2 (2011) 691-696.
• [11] H.R. Son, D.N. Shim, A Study on effective factor of penetration depth in TIG welding, Proceedings of KWS (1997) 148-150.
• [12] G. Atkins, D. Thiessen, N. Nissley, Y. Adonyi, Welding process effects in weldability testing of steels, Welding Research, Welding Journal 4 (2002) 61-66.
• [13] Korean Register of Shipping Rules for Classification Steel Ships, Part 2, Materials and Welding, 1998.
• [14] N. Murugan, V. Gunaraj, Prediction and control of weld bead geometry and shape relationships in submerged arc welding of pipes, Journal of Materials Processing Technology 168 (2005) 478-487.
• [15] A. Ghosh, S Chattopadhyaya, R.K. Das, P.K. Sarkar, Prediction of Submerged Arc Welding Yield Parameters through Graphical Technique, Procedia Engineering 10 (2011) 2797-2802.
• [16] S. Karaoglu, A. Secgin, Sensitivity analysis of submerged arc welding process parameters, Journal of Materials Processing Technology 202 (2008) 500-507.
• [17] L.J. Yang, R.S. Chandel, M.J. Bibby, The effects of process variables on the bead width of submerged arc weld deposits, Journal of Materials Processing Technology 29 (1992) 133-144.
• [18] H. Nomura, J.E. Middle, Development and Application of Arc Sensor Control with a High Speed Rotating Arc Process, Sensors and Control Systems in Arc Welding, Chapman & Hall 28 (1994) 247-256.
• [19] H. Nomura, Sensors and Control Systems in Arc Welding, Springer-Verlag New York, 2008.
• [20] D.C. Kim, T.W. Chang, D.R. Yoon, T.W. Woo, C.G. Park, Tandem Electrogas Welding of Higherstrength Hull Structural Steel, KWJS (2006) 75-76.
• [21] Y.K. Lee, Welding and Bonding Engineering Compilation of JWS (1996) 383-391.
• [22] S.J. Marburger, Welding Automation and Computer Control, Welding Theory and Practices, Elsevier Science Publishers, 1990.
• [23] J. Hanright, Robotic Arc Welding under Adaptive Control-A survey of Current Technology, Welding Journal 65 (1986) 19-24.
• [24] T. Shinoda, J. Doherty, The Relationship Between Arc Welding Parameters and Weld Bead Geometry, A Literature Survey, The Welding Institute Report 74, 1978.
• [25] J.M. Han, Y.S. Han, Welding Technology and Strength of GT Membrane Type LNG Ships, Journal of KWS 4 (1993) 7-15.