Minimization of bead geometry by optimization of regression equations for laser-beam bead-on-plate welded Hastelloy C-276 sheet
The present study is aimed at selection of laser beam welding parameters that would produce through-penetrated weld zone with minimum cross-sectional area in 2.7-mm-thick Hastelloy C-276 sheet. Weld zone area was found to be comprised of geometrical features such as total throat, crown width, root width, neck width. A new, fast and relatively simple method of optimization has been proposed in the present study. Regression equation for each geometrical feature was generated from the full factorial experimental design data. Optimization of welding parameters to minimize weld zone area was carried out by solving regression equations using experimentally obtained values of geometrical features as the boundary condition. Once the optimized value of parametric combination was obtained, experiment was conducted to confirm the minimization of weld bead cross-sectional geometry.
KeywordsHastelloy Fiber laser Full factorial experimental design Regression equation Laser beam welding Weld bead optimization
The authors are grateful to all the faculty members, technical staffs and research scholars of Department of Mechanical Engineering, Department of Metallurgical and Materials Engineering and Central Research Facility, IIT Kharagpur, for extending their support to carry out various experiments. The authors want to thank Mr. Tanmoy Baram, Department of Mechanical Engineering, IIT Kharagpur, for his invaluable support.
- 11.Las-Casas MS, Diniz de Àvila TL, Bracarense AQ, Lima EJ II (2018) Weld parameter prediction using artificial neural network: FN and geometric parameter prediction of austenitic stainless steel welds. J Braz Soc Mech Sci Eng 26:1–9Google Scholar
- 24.Prasad KS, Rao C, Rao DN (2012) Application of design of experiments to plasma arc welding process: a review. J Braz Soc Mech Sci Eng 34:75–81Google Scholar
- 31.Koganti R, Karas C, Joaquin A, Henderson D, Zaluzec M, Caliskan A (2003) Metal inert gas (MIG) welding process optimization for joining aluminum 5754 sheet material using OTC/Daihen equipment. In: ASME international mechanical engineering congress and exposition, pp 409–425Google Scholar
- 32.Prasad KS, Rao CS, Rao DN (2011) Prediction of weld pool geometry in pulsed current micro plasma arc welding of SS304L stainless steel sheets. ITJEMAST 2:325–336Google Scholar
- 39.Patel T, Sheth S, Modi BS, Patel P (2015) Experimental investigation and comparison of regression model and artificial neural network to predict weld height in MIG welding for dual plate check valve. In: International conference on AMPDGoogle Scholar
- 41.Davis JR (2000) ASM specialty handbook: nickel, cobalt, and their alloys. ASM International, Materials ParkGoogle Scholar
- 42.Montgomery DC (2014) Design and analysis of experiments. Wiley, New DelhiGoogle Scholar
- 43.What is the difference between coded units and uncoded units (2018) Minitab® 18 support. https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/doe/supporting-topics/basics/coded-units-and-uncoded-units/. Accessed 12 Jan 2018
- 44.AWS B3.0 (1977) Standard qualification procedure. American Welding Society, MiamiGoogle Scholar