Temperature is a key parameter in the industrial forging process. Induction heating is a fast, efficient and easily controllable system to have a uniform and controlled thermal profile before forging. The possibility to have a finer control over the temperature management leads to the improvement in process, a better product quality level, and lower maintenance cost. In this paper, the pyrometer noise and unstable signal is filtered and corrected using a Kalman filter based on a numerical electro-thermal model to obtain a reliable signal for the process management.
SnapeR.G.CliftS.E. and BramleyA.N., Sensitivity of finite element analysis of forging to input parameters, Journal of Materials Processing Technology82(1-3) (1998) 10.21–26, doi:10.1016/S0924-0136(98)00005-3.
2.
RudnevV. and TottenG.E., ASM Handbook Volume 4C: Induction Heating and Heat Treatment, ASM International, Ohio, 2014.
3.
LaversJ., Numerical solution methods for electroheat problems, IEEE Transactions on Magnetics19(6) (1983) 11.2566–2572, doi:10.1109/TMAG.1983.1062899.
4.
LaversJ.D., State of the art of numerical modeling for induction processes, COMPEL - The international journal for computation and mathematics in electrical and electronic engineering27(2) (2008) 37.335–349, doi:10.1108/03321640810847625.
5.
LupiS.ForzanM. and AliferovA., Induction and Direct Resistance Heating: Theory and Numerical Modeling, Springer International Publishing, 2015: 370 pp.978-3-319-03478-2.
6.
KalmanR.E., A new approach to linear filtering and prediction problems, J. Basic Eng.82(1) (1960), 35–45.
7.
GrewalM.S. and AndrewsA.P., Kalman Filtering: Theory and Practice with MATLAB, 4th edn, Wiley-IEEE Press, Hoboken, New Jersey, 2014.
JulierS.J. and UhlmannJ.K., Unscented Filtering and Nonlinear Estimation, Proceedings of the IEEE92(3) (2004) 3.401–422, doi:10.1109/JPROC.2003.823141.
10.
SastryV., Decomposition of the extended Kalman filter, IEEE Transactions on Automatic Control16(3) (1971) 6.260–261, doi:10.1109/TAC.1971.1099709.
11.
MirzaM.J., A modified Kalman filter for non-Gaussian measurement noise, in: Communication Systems and Information Technology, Springer, Berlin, Heidelberg, 2011, pp. 401–409.978-3-642-21761-6.
12.
NaveauPhilippeGentonMarc G. and ShenXilin, A skewed Kalman filter, Journal of Multivariate Analysis94(2) (2005) 6.382–400, doi:10.1016/j.jmva.2004.06.002.
