Optimisation of welding parameters for weld penetration in FCAWN

• Autorzy: Mostafa N. B. , Khajavi M. N.
• Języki publikacji: EN

Abstrakty

EN

Purpose: This paper describes prediction of weld penetration as influenced by FCAW process parameters of welding current, arc voltage, nozzle-to-plate distance, electrode-to-work angle and welding speed. Optimization of these parameters to maximize weld penetration is also investigated. Design/methodology/approach: It deals with the statistical technique of central composite rotatable design to develop a mathematical model for predicting weld penetration as a function of welding process parameters. The constrained optimization method is then applied to this model to optimize process parameters for maximizing weld penetration. Findings: The result obtained from the developed model indicates that the model predicts the weld penetration adequately. The optimization result also shows that weld penetration attains its maximum value when welding current, arc voltage, nozzle-to-plate distance and electrode-to-work angle are maximum and welding speed is minimum. Research limitations/implications: The statistical technique of developing a model for prediction of weld penetration is valid only within the specified limits of welding process parameters and hence maximization of penetration is also valid within these limits. This technique can be modified to include other parameters such as plate thickness affecting penetration. Practical implications: The statistical method for modeling and the optimization method used have found increasing applications in a variety of fields for investigation because through these methods research becomes economical, fast and versatile. Originality/value: The methods described in this paper for weld penetration prediction and optimization can eliminate the need for performing experiments on the basis of the conventional trial and error method which is time consuming and economically not justifiable.

Słowa kluczowe

EN

manufacturing; processing; welding; weld penetration modelling; optimisation; sequential quadratic programming

PL

produkcja; przetwarzanie; modelowanie penetracji spoiny; optymalizacja; programowanie kwadratowe sekwencyjne

• Wydawca: International OCSCO World Press
• Czasopismo: Journal of Achievements in Materials and Manufacturing Engineering
• Rocznik: 2006
• Tom: Vol. 16, nr 1-2
• Strony: 132--138
• Opis fizyczny: Bibliogr. 35 poz., rys., tab., wykr.

Twórcy

autor

Mostafa N. B.

• Mechanical Engineering Department, Shahid Rajaee University, Tehran, Iran

autor

Khajavi M. N.

• Mechanical Engineering Department, Shahid Rajaee University, Tehran, Iran

Bibliografia

• [1] Z. Smati, "Automatic pulsed MIG welding", Metal Construction, Jan. 1986, pp. 38R-44R.
• [2] P.J. Konkol. and G.F. Koons, "Optimization of parameters for two-wire AC-AC SAW", Welding Journal, Dec. 1978, Vol. 27, No.12, pp. 367s-374s.
• [3] N.B. Mostafa and R.S. Parmar. "Mathematical models to predict weld bead dimensions in FCAW", Int. Conf. on CAD/CAM, Robotics and Autonomous Factories, Dec. 16-19, 1993, Vol. II, pp. 415-431.
• [4] K.Y. Benyounis, et al. "Effect of welding parameters on heat input and weld bead profile", Journal of Materials Processing Technology, 15 May 2005, Vol. 164-165, pp. 978-985, (AMPT/AMME05 part 2).
• [5] K.Y. Benyounis, et al. "Optimizing the laser-welded butt joints of medium carbon steel using RSM", Journal of Materials Processing Technology, 15 May 2005, Vol.164-165, pp. 986-989, (AMPT/AMME05 part 2).
• [6] Xue Yu, et al. "Fuzzy regression method for prediction and control the bead width in the robotic arc-welding process", Journal of Materials Processing Technology, 15 May 2005, Vol. 164-165, pp. 1134-1139, (AMPT/AMME05 part 2).
• [7] Davi Sampaio, et al. "Comparison between generic algorithms and RSM in GMAW optimization", Journal of Materials Processing Technology, 1 March 2005,Vol. 160, Issue 1, pp. 70-76.
• [8] I.S. Kim, et al. "An investigation into an intelligent system for predicting bead geometry in GMA welding process", Journal of Materials Processing Technology, 10 Jan.2005, Vol. 159, Issue 1, pp. 113-118.
• [9] I.S. Kim, et al. "A study on relationship between process variables and bead penetration for robotic CO2 arc welding", Journal of Materials Processing Technology, 10 May 2003, Vol. 136, Issues 1-3, pp. 139-145.
• [10] I.S Kim, et al. "A study on prediction of bead height in robotic arc welding using a neural network", Journal of Materials Processing Technology, 20 Dec. 2002, Vol. 130-131, pp. 229-234.
• [11] S.C. Juang, et al. "Process parameter selection for optimizing the weld pool geometry in the tungsten inert gas welding of stainless steel", Journal of Materials Processing Technology, 5 March 2002, Vol. 122, Issue 1, pp. 33-37.
• [12] G Lothongkum, et al. "Study on the effects of pulsed TIG welding parameters on delta-ferrite content, shape factor and bead quality in orbital welding of AISI 316L stainless steel plate", Journal of Materials Processing Technology, 19 March 2001, Vol. 110, Issue 2, pp.233-238.
• [13] G. Gunaraj and N. Murugan "Application of response surface methodology for predicting weld bead quality in SAW of pipes", Journal of Materials Processing Technology, 15 April 1999, Vol. 88, Issues 1-3, pp. 266-275.
• [14] L.J Yang, et al. "Linear regression equations for modeling the SAW process", Journal of Materials Processing Technology, Oct. 1993, Vol. 39, Issues 1-2, pp. 33-42.
• [15] S.C.A Alfaro, et al. "The use of statistical modeling in welding", Journal of Materials Processing Technology, Feb. 1993, Vol. 38, Issues 1-2, pp. 399-405.
• [16] L.J Yang, et al. "An analysis of curvilinear regression equations for modeling the SAW process", Journal of Materials Processing Technology, Feb. 1993, Vol. 37, Issues 1-4, pp. 601-611.
• [17] N Murugan, et al. "Effect of submerged arc process variables on dilution and bead geometry in single wire. surfacing", Journal of Materials Processing Technology, Feb. 1993, Vol. 37, Issues 1-4, pp. 767-780.
• [18] H.E. Hill, and J.W. Prane, "Applied Techniques in Statistics for selected Industries", John Wiley & Sons, New York, 1984.
• [19] G.E.R. Box, W.G. Hunter, J.S and Hunter, "Statistics for experiments", John Wiley & Sons, New York, 1978.
• [20] W.G. Cochran, and G.M. Cox, "Experimental design", Asia Publishing House, 1963.
• [21] S. Akhanazaroa, and V. Kafarov, "Experiment optimization in chemistry and chemical engineering", Mir publishers, Moscow, 1982.
• [22] Optimization Toolbox User’s Guide, 2004, The Mathworks, Inc.
• [23] K. Schittkowski, "NLQPL: A FORTRAN-Subroutine Solving Constrained Nonlinear Programming Problems", Annals of Operations Research, Vol. 5, pp 485-500, 1985.
• [24] M.C. Biggs, "Constrained Minimization Using Recursive Quadratic Programming", Towards Global Optimization(L.C.W. Dixon and G.P. Szergo, eds.), North-Holland, pp 341-349, 1975.
• [25] S.P. Han, "A Globally Convergent Method for Nonlinear Programming", J. Optimization Theory and Applications, Vol. 22, p. 297, 1977.
• [26] M.J.D. Powell,., "The Convergence of Variable Metric Methods for Nonlinearly Constrained Optimization Calculations", Nonlinear Programming 3, (O.L. Mangasarian, R.R. Meyer and S.M. Robinson, eds.), Academic Press, 1978.
• [27] M.J.D. Powell,, "A Fast Algorithm for Nonlinearly Constrained Optimization Calculations", Numerical Analysis, G.A.Watson ed., Lecture Notes in Mathematics, Springer Verlag, Vol. 630, 1978.
• [28] R. Fletcher, "Practical Methods of Optimization", John Wiley and Sons, 1987.
• [29] P.E. Gill, W. Murray, and M.H. Wright, Practical Optimization, London, Academic Press, 1981.
• [30] M.J.D. Powell, "Variable Metric Methods for Constrained Optimization", Mathematical Programming: The State of the Art, (A. Bachem, M. Grotschel and B. Korte, eds.) Springer Verlag, pp 288-311, 1983.
• [31] W. Hock,. and K. Schittkowski, "A Comparative Performance Evaluation of 27 Nonlinear Programming Codes", Computing, Vol. 30, p. 335, 1983.
• [32] P.E. Gill, W. Murray, and M.H. Wright, Numerical Linear Algebra and Optimization, Vol. 1, Addison Wesley, 1991.
• [33] P.E. Gill, W. Murray, M.A. Saunders, and M.H. Wright, "Procedures for Optimization Problems with a Mixture of Bounds and General Linear Constraints", ACM Trans. Math. Software, Vol. 10, pp 282-298, 1984.
• [34] J.C. McGlone, and, D.B. Chadwick, "The Submerged Arc Butt Welding of Bead Geometry from Procedure Parameters", IIW Report 80/1978/PE, 1978.
• [35] P. Houldcroft, and R. John, "Welding and Cutting, a Guide to Fusion Welding and Associated Cutting Processes", Industrial Press Inc., New York, 1989.