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Six sigma methodology used to improve the mechanical properties for friction stir weldingof aluminum pipes

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Języki publikacji
EN
Abstrakty
EN
This paper presents a new welding quality evaluation approach depending on the analysis by the fuzzy logic and controlling the process capability of the friction stir welding of pipes (FSWoP). This technique has been applied in an experimental work developed by alternating the FSW of pipes process major parameters: rotation speed, pipe wall thickness and travel speed. variable samples were friction stir welded of pipes using from 485 to 1800 rpm, 4–10 mm/min and 2–4 mm for the rotation speed, the travel speed, and the pipe wall thickness respectively. DMAIC methodology (Defining, Measuring, Analyzing, Improving, Control) has been used as an approach to analyze the FSW of pipes, it depends on the attachment potency and technical commonplace demand of the FSW of pipes process. The analysis controlled the Al 6061 friction stir welded joints’ tensile strength. To obtain the best tensile strength, the study determined the optimum values for the parameters from the corresponding range.
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Twórcy
  • Department of Manufacturing Engineering Modern Academy for Engineering and Technology El-Hadaba El-Waste-Elmokattam, Cairo, Egypt
Bibliografia
  • [1] Soni S., Mohan R., Bajpai L., Katare S.K., Reduction of welding defects using Six Sigma techniques, International Journal of Mechanical Engineering and Robotics Research, 2(3), 404–412, 2013.
  • [2] Aravinth P., Subramanian S.P., Vishnu S.G., Vignesh P., Process failure mode and effect analysis on TIG welding process – a criticality study, International Journal of Advances in Engineering and Technology, 3(2), 746–755, 2012.
  • [3] Singh T., Kumar D., Ram P., An implementation of Six Sigma in steel tube welding: a case study, International Journal of Innovative Science, Engineering and Technology, 2(9), 60–64, 2015.
  • [4] Shinde M.M.S., Inamdar K.H., Reduction in TIG welding defects for productivity improvement using Six Sigma, International Journal of Technical Research and Applications, 2(1), 100–105, 2014.
  • [5] Raman S., Raman V.K., A Six Sigma approach for oxidation defect reduction in GTAW of a nuclear plant, Proceedings of 25th IRF International Conference, May 2015, India.
  • [6] Mu G.Y., Wang F., Mi Z.X., Application of Six Sigma DMAIC methodology in welding assembly quality improvement, Applied Mechanics and Materials, Trans Tech Publications, 395, 1099–1103, 2013.
  • [7] Soni S., Mohan R., Bajpai L., Katare S.K., Optimization of submerged Arc welding process using Six Sigma tools, International Journal of Modern Engineering Research, 3(3), 1690–1696, 2013.
  • [8] Krunal S., Pathak A., Reduction of non confirmative rate of bearing rings using Six Sigma methodology, International Journal for Research in Applied Science and Engineering Technology, 2(5), 532–539, 2014.
  • [9] Khourshid A.M., Sabry I., Friction stir welding study on aluminum pipe, International Journal of Mechanical Engineering and Robotics Research, 2(3), 31–339, 2013.
  • [10] Hattingh D.G., Blignault C., Van Niekerk T.I., James M.N., Characterization of the influences of FSW tool geometry on welding forces and weld tensile strength using an instrumented tool, Journal of Materials Processing Technology, 203(1–3), 46–57, 2008.
  • [11] Lin T.R., Experimental design and performance analysis of TiN-coated carbide tool in face milling stainless steel, Journal of Materials Processing Technology, 127(1), 1–7, 2002.
  • [12] Yang W.P., Tarng Y.S., Design optimization of cutting parameters for turning operations based on the Taguchi method, Journal of Materials Processing Technology, 84(1–3), 122–129, 1998.
  • [13] Bezerra M.A., Santelli R.E., Oliveira E.P., Villar L.S., Escaleira L.A., Response surface methodology (RSM) as a tool for optimization in analytical chemistry, Talanta, 76(5), 965–977, 2008.
  • [14] Bersimis S., Psarakis S., Panaretos J., Multivariate statistical process control charts: an overview, Quality and Reliability engineering international, 23(5), 517–543, 2017.
  • [15] El-Kassas A.M., Sabry I., ElWakil M., An implementation of Six Sigma in aluminum pipe welding, International Journal of Advance Research and Innovation, 5(2), 192–195, 2017.
  • [16] El-Kassas A.M., Sabry I., Optimization of the underwater friction stir welding of pipes using hybrid RSM-fuzzy approach, International Journal of Applied Engineering Research, 14(24), 2019.
  • [17] Sabry I., Moura A.-H.I., Thekkuden D.T., Optimization of metal inert gaswelded aluminium 6061 pipe parameters using analysis of variance and grey relational analysis, SN Applied Sciences, 2(175), 2020.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
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bwmeta1.element.baztech-6892e89f-f672-49af-a61a-7f21a1161b09
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