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Abstrakty
Purpose: The present article analysed the effect of MAG welding parameters (arc voltage-AV, wire feeding speed-WFS, and welding speed-WS) on fillet weld leg length (FWLL) in low-carbon steel S235JR. Design/methodology/approach: In the research, the Taguchi L8 orthogonal array was used to design experiments. The eight experimental experiments were designed based on the Taguchi method, and the average FWLL was measured in each experiment. The analysis of means (ANOM) and analysis of variance (ANOVA) techniques were used to analyse FWLL. Findings: The highest F-value in ANOVA analysis (96.08) confirmed that the welding speed is the most effective parameter on the response (with a per cent contribution of 92.24%), followed by wire feeding speed and arc voltage, with an F-value of 2.82 and 1.25, respectively. Research limitations/implications: The research was focused on MAG welding as a common process used in different industries. Future studies could consider the effect of parameters on fillet weld leg length in other arc welding processes. Due to its many applications in various industries, the low-carbon steel S235JR plate was chosen as the base material, while other steels can be used for future studies. Practical implications: The findings of the present study have significant practical implications for the welding industry. The design of welding joints is a very important part of the design of metal structures. A weld bead with correct and optimal sizes is desirable and accepted in the design of metal structures. The findings of the present study can be used in the optimal design of fillet welds for low-carbon steel. Originality/value: As far as we know, there is relatively little information on the proper balance of fillet weld leg length in low-carbon steels. Therefore, the research results can be used in the appropriate design of welding joints for low-carbon steels.
Wydawca
Rocznik
Tom
Strony
58--64
Opis fizyczny
Bibliogr. 22 poz.
Twórcy
autor
- Department of Mechanical Engineering, Qom University of Technology, Qom, Iran
Bibliografia
- [1] M. Mousavi Anzehaee, M. Haeri, Welding current and arc voltage control in a GMAW process using ARMarkov-based MPC, Control Engineering Practice 19/12 (2011) 1408-1422. DOI: https://doi.org/10.1016/j.conengprac.2011.07.015
- [2] D. Zhao, K. Zhao, D. Ren, X. Guo, Ultrasonic welding of magnesium–titanium dissimilar metals: A study on influences of welding parameters on mechanical property by experimentation and artificial neural network, Journal of Manufacturing Science and Engineering 139/3 (2017) 031019. DOI: https://doi.org/10.1115/1.4035539
- [3] L. Huang, D. Wu, X. Hua, S. Liu, Z. Jiang, F. Li, H. Wang, S. Shi, Effect of the welding direction on the microstructural characterization in fiber laser-GMAW hybrid welding of 5083 aluminum alloy, Journal of Manufacturing Processes 31 (2018) 514-522. DOI: https://doi.org/10.1016/j.jmapro.2017.12.010
- [4] M. Habibi, R. Hashemi, M.F. Tafti, A. Assempour, Experimental investigation of mechanical properties, formability and forming limit diagrams for tailor-welded blanks produced by friction stir welding, Journal of Manufacturing Processes 31 (2018) 310-323. DOI: https://doi.org/10.1016/j.jmapro.2017.11.009
- [5] J. Yang, Z. Yu, Y. Li, H. Zhang, N. Zhou, Laser welding/ brazing of 5182 aluminum alloy to ZEK100 magnesium alloy using a nickel interlayer, Science and Technology of Welding and Joining 23/7 (2018) 543-550. DOI: https://doi.org/10.1080/13621718.2018.1425182
- [6] V. Kumar, M. Hussain, M.S. Raza, A.K. Das, N.K. Singh, Fiber laser welding of thin nickel sheets in air and water medium, Arabian Journal for Science and Engineering 42 (2017) 1765-1773. DOI: https://doi.org/10.1007/s13369-016-2305-1
- [7] K. Krasnowski, Experimental study of FSW T-joints of EN-AW 6082-T6 and their behavior under static loads, Arabian Journal for Science and Engineering 39 (2014) 9083-9092. DOI: https://doi.org/10.1007/s13369-014- 1465-0
- [8] S. Zielinska, F. Valensi, N. Pellerin, S. Pellerin, K. Musioł, Ch. de Izarra, F. Briand, Microstructural analysis of the anode in gas metal arc welding (GMAW), Journal of Materials Processing Technology 209/7 (2009) 3581-3591. DOI: https://doi.org/10.1016/j.jmatprotec.2008.08.023
- [9] R. O’Brien (ed), Welding Handbook: Welding Processes, 8th Edition, American Welding Society, Miami, 1991, 786-798.
- [10] S. Klarić, I. Samardžić, I. Kladarić, MAG welding process-analysis of welding parameter influence on joint geometry, Proceedings of the 12th International Research / Expert Conference, Istanbul, Turkey, 2008, 185.
- [11] A. Ampaiboon, O.-U. Lasunon, B. Bubphachot, Optimization and prediction of ultimate tensile strength in metal active gas welding, The Scientific World Journal 2015 (2015) 831912. DOI: https://doi.org/10.1155/2015/831912
- [12] M. Sailender, G. Chandra Mohan Reddy, S. Venkatesh, Influences of process parameters on heat affected zone in submerged arc welding of low carbon steel, American Journal of Materials Science 6/4A (2016) 102-108. DOI: https://doi.org/10.5923/c.materials.201601.20
- [13] H. Mohamed, M.H. Lee, M. Sarahintu, S. Salleh, B. Sanugi, The use of Taguchi method to determine factors affecting the performance of destination sequence distance vector routing protocol in mobile Ad Hoc networks, Journal of Mathematics and Statistics 4/4 (2008) 194-198. DOI: https://doi.org/10.3844/jmssp.2008.194.198
- [14] A. Rajendran, M. Thirugnanam, V. Thangavelu, Statistical evaluation of medium components by Plackett-Burman experimental design and kinetic modeling of lipase production by Pseudomonas fluorescens, Indian Journal of Biotechnology 6 (2007) 469-478.
- [15] Design-Expert Software, Version 6, User’s Guide, Technical Manual, Stat-Ease, Minneapolis, MN-2000.
- [16] H.R. Lindman, Analysis of variance in experimental design, 1st Edition, Springer-Verlag, New York, 1992, 13-45. DOI: https://doi.org/10.1007/978-1-4613-9722- 9
- [17] D.C. Montgomery, Design and analysis of experiments, 7th Edition, John Wiley & Sons, Inc., Asia, 2009, 1-22, 60-114, 207-263.
- [18] M.A. Hassan, M. Ali, O.I. Abdullah, Numerical analysis of the thermal behaviour and performance of a brake system with temperature-dependent material properties, Archives of Materials Science and Engineering 122/2 (2023) 58-69. DOI: https://doi.org/10.5604/01.3001.0053.9592
- [19] T. Linek, T. Tański, W. Borek, Numerical analysis of the cavitation effect occurring on the surface of steel constructional elements, Archives of Materials Science and Engineering 85/1 (2017) 24-34. DOI: https://doi.org/10.5604/01.3001.0010.1555
- [20] P. Baras, J. Sawicki, Numerical analysis of mechanical properties of 3D printed aluminium components with variable core infill values, Journal of Achievements in Materials and Manufacturing Engineering 103/1 (2020) 16-24. DOI: https://doi.org/10.5604/01.3001.0014.6912
- [21] P. Kuryło, K. Zaborowska, P. Czarnecki, P. Pruszyński, Numerical analysis of propagation of femur crack due to osteoporotic changes, Journal of Achievements in Materials and Manufacturing Engineering 121/2 (2023) 320-326. DOI: https://doi.org/10.5604/01.3001.0054.3213
- [22] P. Shenbaga Velu, N. Rajesh Jesudoss Hynes, Numerical analysis of friction welded titanium joints, Journal of Achievements in Materials and Manufacturing Engineering 76/1 (2016) 26-29. DOI: https://doi.org/10.5604/17348412.1228630
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-10da4d79-907b-4893-b878-1085afcef3c4