My research interest lies in the development of metal forming control systems. The availability of real-time measurements and strong IT infrastructure in modern factories opens the way for the development of advanced control systems which interpret small changes in the production process using data-driven or physics-based models and correct the process accordingly. Other areas of interest are robust optimization, inverse analysis, Bayesian estimation, model order reduction and machine learning.
Engineering & Materials Science
# Feedforward Control # Finite Element Method # Force Measurement # Metal Forming # Process Control # State Estimation
# Fem Simulation
Soyarslan, C. , Havinga, J. , Abelmann, L. , & van den Boogaard, T. (2022). Estimation of the Effective Magnetic Properties of Two-Phase Steels. In G. Vincze, & F. Barlat (Eds.), Achievements and Trends in Material Forming- Peer-reviewed extended papers selected from the 25th International Conference on Material Forming, ESAFORM 2022 (pp. 2040-2049). (Key Engineering Materials; Vol. 926 KEM). Trans Tech Publications Ltd. https://doi.org/10.4028/p-3no5jw
de Gooijer, B. M. (2022). Surrogate modelling and robust optimization of multi-stage metal forming processes. [PhD Thesis - Research UT, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036554152
Havinga, J., Sikkelbein, D. , & van den Boogaard, T. (2021). Process Linearization for Closed-Loop Control of Incremental Sheet Forming. IOP Conference Series: Materials Science and Engineering, 1157, . https://doi.org/10.1088/1757-899X/1157/1/012090
Havinga, J. , Mandal, P. K. , & van den Boogaard, T. (2020). Exploiting data in smart factories: Real-time state estimation and model improvement in metal forming mass production. International journal of material forming, 13(5), 663–673. https://doi.org/10.1007/s12289-019-01495-2
Arthington, M. , Havinga, J., & Duncan, S. (2020). Control of ring rolling with variable thickness and curvature. International journal of material forming, 13, 161-175. https://doi.org/10.1007/s12289-019-01475-6
Havinga, J. , Mandal, P. K. , & van den Boogaard, A. H. (2019). Bayesian Model-based State Estimation for Mass Production Metal Forming. In 38th International Deep Drawing Research Group Conference (1 ed., pp. 1-8).  (IOP Conference Series: Materials Science and Engineering; Vol. 651, No. 012095). IOP Science. https://doi.org/10.1088/1757-899X/651/1/012095
Havinga, J. , van den Boogaard, T., Dallinger, F., & Hora, P. (2018). Feedforward control of sheet bending based on force measurements. Journal of Manufacturing Processes, 31, 260-272. https://doi.org/10.1016/j.jmapro.2017.10.011
UT Research Information System
Courses Academic Year 2022/2023
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.