Abstract
The fact that the weld geometry is vital in the cooling rate and determining the weld metal quality is obvious to all. So, the Taguchi technique was used to determine the process parameters of gas metal arc welding to access optimal weld bead geometry. In addition, this study investigated the effect of siliconized Zn-graphene oxide complex nanoparticles as one of the input parameters on the weld bead geometry, including the penetration depth, bead height, and bead width of the weld. Hence, the S/N and ANOVA statistical analyses were done to establish the relationship between the gas metal arc welding process's input parameters and output variables to achieve the weld bead with the highest penetration depth and the lowest bead height and width. The results showed that in the L00 sample compared to the L0 sample (sample without nanoparticles), in addition to having a very high penetration depth, the ultimate tensile strength, and yield strength have increased by 58.84% and 28.24%, respectively.
Similar content being viewed by others
References
Messler RW Jr (2008) Principles of welding: processes, physics, chemistry, and metallurgy. Wiley (ISBN:3527617493, 9783527617494)
Houldcroft PT, John R (2001) Welding and cutting: A guide to fusion welding and associated cutting processes. Woodhead Publishing
DebRoy T, David SA (1995) Physical processes in fusion welding. Rev Mod Phys 67(1):85. https://doi.org/10.1103/RevModPhys.67.85
Jiang Z et al (2019) High efficiency and quality of multi-pass tandem gas metal arc welding for thick Al 5083 alloy plates. J Shanghai Jiaotong Univ (Sci) 24(2):148–157
Jia Y et al (2023) Current research status and prospect of metal transfer process control methods in gas metal arc welding. Int J Adv Manuf Technol 128(7–8):2797–2811
Rahmati F, Ghandehariun A (2023) Sustainability Development and Life Cycle Assessment of Welding Processes: Focus on SMAW and GMAW, In The 8th International and 19th National Conference on Manufacturing Engineering ICME2023
Katsas S, Nikolaou J, Papadimitriou G (2006) Microstructural changes accompanying repair welding in 5xxx aluminum alloys and their effect on the mechanical properties. Materials & Design 27(10):968–975. https://doi.org/10.1016/j.matdes.2005.02.012
Liang Y et al (2018) Effect of TIG current on microstructural and mechanical properties of 6061–T6 aluminum alloy joints by TIG–CMT hybrid welding. J Mater Process Technol 255:161–174. https://doi.org/10.1016/j.matdes.2005.02.012
Huang L et al (2018) Effect of the welding direction on the microstructural characterization in fiber laser-GMAW hybrid welding of 5083 aluminum alloy. J Manuf Process 31:514–522
Torzewski J et al (2020) Microstructure and low cycle fatigue properties of AA5083 H111 friction stir welded joint. Materials 13(10):2381
Mancha AEUA et al (2021) Experimental Study of Friction Stir Welding on Dissimilar Thickness of Aluminum Plate Butt Joints. Adv Eng Process Technol II:257–262
Bodaghi F, Atapour M, Shamanian M (2021) Assessment of microstructure and stress corrosion cracking susceptibility of multipass gas metal arc welded Al 5083–H321 aluminum alloy. Metallography Microstruct Anal 10(2):246–256
Ma M et al (2021) Effect of weld reinforcement on tensile and fatigue properties of 5083 aluminum metal inert gas (MIG) welded joint: Experiments and numerical simulations. Int J Fatigue 144:106046
Borrego L et al (2014) Fatigue life improvement by friction stir processing of 5083 aluminum alloy MIG butt welds. Theoret Appl Fract Mech 70:68–74
Liu Y et al (2012) Microstructure and mechanical properties of aluminum 5083 weldments by gas tungsten arc and gas metal arc welding. Mater Sci Eng, A 549:7–13
Verma RP, Pandey K (2021) Multi-response optimization of process parameters of GMA welding of dissimilar AA 6061–T6 and AA 5083-O aluminum alloy for optimal mechanical properties. Mater Today: Proc 46:10204–10210
Zhu C et al (2018) Molten pool behaviors and their influences on welding defects in narrow gap GMAW of 5083 Al-alloy. Int J Heat Mass Transf 126:1206–1221
Makhtar MF et al (2021) An Experimental Study on Friction Stir Welding of AA5083 Tee Lap Joints. Adv Eng Process Technol II:279–286
Rahmati F, Aghakhani M, Kolahan F (2023) Influence of Siliconized Zn-Graphene Oxide Complex Nanoparticles on the Microstructure and Mechanical Properties of AA5083: Focus on Gas Metal Arc Welding. Adv Mater Sci Eng
Fattahi M et al (2014) Improved microstructure and mechanical properties in gas tungsten arc welded aluminum joints using graphene nanosheets/aluminum composite filler wires. Micron 64:20–27. https://doi.org/10.1016/j.micron.2014.03.013
Khosravi M, Mansouri M, Gholami A, Yaghoubinezhad Y (2020) Effect of graphene oxide and reduced graphene oxide nanosheets on the microstructure and mechanical properties of mild steel jointing by flux-cored arc welding. Int J Miner Metall Mater 27(4):505–514. https://doi.org/10.1007/s12613-020-1966-7
Maurya R et al (2016) Effect of carbonaceous reinforcements on the mechanical and tribological properties of friction stir processed Al6061 alloy. Mater Des 98:155–166
Aghakhani M, Naderian P (2015) Modeling and optimization of dilution in SAW in the presence of Cr2O3 nano-particles. Int J Adv Manuf Technol 78(9):1665–1676
Aghakhani M et al (2014) Combined effect of TiO2 nanoparticles and input welding parameters on the weld bead penetration in submerged arc welding process using fuzzy logic. Int J Adv Manuf Technol 70(1):63–72
Razak MAAA et al (2021) Experimental Study on Self-Supported Friction Stir Welding on AA5083 Plate Butt Joints. Adv Eng Process Technol 2:293–298
Asadi P et al (2016) Optimization of AZ91 friction stir welding parameters using Taguchi method. Proc Inst Mech Eng Part L: J Mater: Des Appl 230(1):291–302
Odinikuku WE, Udumebraye JE, Atadious D (2020) Prediction of Weld Bead Geometry of Mild Steel Using Taguchi Technique and Multiple Regression Analysis. J Eng Res Rep 13(4):31–46
Datta S, Bandyopadhyay A, Pal PK (2008) Grey-based Taguchi method for optimization of bead geometry in submerged arc bead-on-plate welding. Int J Adv Manuf Technol 39:1136–1143
Ghosh N, Pal PK, Nandi G (2016) Parametric optimization of MIG welding on 316L austenitic stainless steel by grey-based Taguchi method. Procedia Technol 25:1038–1048
Lakshminarayanan AK, Balasubramanian V (2008) Process parameters optimization for friction stir welding of RDE-40 aluminium alloy using Taguchi technique. Trans Nonferrous Metals Soc China 18(3):548–554
Kechagias JD et al (2020) A comparative investigation of Taguchi and full factorial design for machinability prediction in turning of a titanium alloy. Measurement 151:107213
Meena A et al. (2018) Investigation of wear characteristics of dental composites filled with nanohydroxyapatite and mineral trioxide aggregate. Fundamental Biomaterials: Polymers. Woodhead Publishing, 287–305
Thakur AG et al (2010) Application of Taguchi method for resistance spot welding of galvanized steel. ARPN J Eng Appl Sci 5(11):22–26
Mohamed MA, Manurung YH, Berhan MN (2015) Model development for mechanical properties and weld quality class of friction stir welding using multi-objective Taguchi method and response surface methodology. J Mech Sci Technol 29:2323–2331.https://doi.org/10.1007/s12206-015-0527-x
Nandagopal K, Kailasanathan C (2016) Analysis of mechanical properties and optimization of gas tungsten Arc welding (GTAW) parameters on dissimilar metal titanium (6Al4V) and aluminium 7075 by Taguchi and ANOVA techniques. J Alloy Compd 682:503–516
Anawa EM, Olabi AG (2008) Using Taguchi method to optimize welding pool of dissimilar laser-welded components. Opt Laser Technol 40(2):379–388
Fujii H et al (2008) Effect of Oxygen Content in He-O2 Shielding Gas on Weld Shape in Ultra Deep Penetration TIG. Trans JWRI 37(1):19–26
Yuri T et al (2001) Effect of welding structure on high-cycle and low-cycle fatigue properties for MIG welded A5083 aluminum alloys at cryogenic temperatures. Cryogenics 41(7):475–483
Wu L et al (2022) The microstructure and mechanical properties of 5083, 6005A and 7N01 aluminum alloy gas metal arc-welded joints for the high-speed train: A Comparative Study. Metals 12(2):213
Funding
The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.
Author information
Authors and Affiliations
Contributions
All authors contributed to the study's conception and design. Material preparation, data collection, and analysis were performed by Farhad Rahmati. Masood Aghakhani designed and supervised the whole project and revised and analyzed data, and Farhad Kolahan analyzed and revised the manuscript. All authors read and approved the final manuscript. The authors would like to thank Dr. Eshagh Karimi, Dr. Shahab Zangeneh, Mr. Farzad Pahnaneh, and the Razi University of Kermanshah for their assistance throughout the research.
Corresponding author
Ethics declarations
Conflicts of Interest
All authors declare that they have no conflicts of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Rahmati, F., Kolahan, F. & Aghakhani, M. Prediction of weld bead geometry of AA5083 using taguchi technique: in the presence of siliconized zn-graphene oxide complex nanoparticles. Int J Adv Manuf Technol (2024). https://doi.org/10.1007/s00170-024-13074-0
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00170-024-13074-0