Numerical Simulation of Electron Beam Welding Process of Inconel 706 Sheets

Abstract:

Welding operation of aircraft engine sheet part will be analyzed in this paper. The sheet part is made of narrow Inconel 706 sheet pieces. During manufacturing process first sheets undergo the process of bending. Subsequently they are welded to produce the final shape. Finite element analysis will be used to model welding operation. The thermal field and its impact on the stress field will be analyzed. The produced results will be used to design the actual welding process. Sheets will be welded using electron beam welding, EBW, method. This method is characterized by high concentration of power which instantly melts metal. As a result small HAZ is produced and comparatively small distortions are introduced. EBW process is characterized mainly by three input parameters: beam voltage, beam current and welding speed. The goal of numerical simulation is to identify the values of input parameters that produce full-depth fusion zone. As a guideline for simulation the actual dependency between input parameters and weld pool geometry will be taken from calibration data for EB welding unit. Calibration was performed using 18-8 steel. Partial least square method will be used to project those data on Inconel 706 alloy.

• Periodical: Key Engineering Materials (Volume 473)
• Pages: 540-547
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.473.540
• Online since: March 2011
• Authors: Piotr Lacki, Konrad Adamus, Kwiryn Wojsyk, Marcin Zawadzki
• Keywords: Electron Beam Weld (EBW), Numerical Simulation, Sheet Welding, Weld Pool Geometry Prediction

References

[1] Technical bulletin: Inconel alloy 706 (Publication number SMC-091), Special Metals Corporation (http: /www. specialmetals. com), September (2004).

[2] Huang C.A., Wang T. H, Lee C.H., Han W.C., A study of heat-affected zone (HAZ) of an Inconel 718 sheet welded with electron-beam welding (EBW), Materials Science and Engineering A, 398 (2005) 275-281.

DOI: 10.1016/j.msea.2005.03.029

[3] Egbewande A.T., Buckson R.A., Ojo O.A., Analysis of laser beam weldability of Inconel 738 superalloy, Materials characterization, 61 (2010) 569-574.

DOI: 10.1016/j.matchar.2010.02.016

[4] Ferro P., Zambon A., Bonollo F., Investigation of electron beam welding in wrought Inconel 706 - experimental and numerical analysis, Materials Science and Engineering A, 392 (2005) 94-105.

DOI: 10.1016/j.msea.2004.10.039

[5] Nikolaev G., Olshansky N., Advanced welding processes, Mir, Moscow, (1977).

[6] Schultz H., Electron beam welding, Woodhead Publishing, Abington, (1994).

[7] Chattopadhyay R., Advanced thermally assisted surface engineering processes, Springer, (2004).

[8] Bollig A., Rake H., Kratzsch Ch., Kaierle S., Application of neuro-predictive control to laser beam welding, IFAC 15th Triennial World Congress, Spain, (2002).

DOI: 10.3182/20020721-6-es-1901.00701

[9] Yang H., Cai Y., Bao. Y, Zhou Y., Analysis and application of partial least square regression in arc welding process, Journal of Central South University of Technology, 12 (2005) 453-458.

DOI: 10.1007/s11771-005-0181-z

[10] Cai Y., Wang G., Yang H., Hua X., Wu Y., Spatter rate estimation of GMAW-S based on partial least square regression, Journal of Central South University of Technology, 13 (2008) 695-701.

DOI: 10.1007/s12204-008-0695-2

[11] Esposito Vinzi V., Chin W.W., Hensler J., Wang H., Handbook of partial least squares. Concepts, methods and applications, Springer, (2010).

DOI: 10.1007/978-3-540-32827-8

[12] Kourti T., Process analysis and abnormal situation detection: from theory to practice, IEEE: Control Systems Magazine, 22 (2005) 10-25.

[13] SAS Online Doc, Version 8, The PLS Procedure.

[14] Bathe K.J., Finite Element Procedures, Prentice-Hall Inc. Upper Saddle River, New Jersey, (1996).