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
# Decomposition # Feedforward Control # Force Measurement # Metal Forming # Process Control # State Estimation
# Fem Simulation
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
Havinga, G. T. , & Van Den Boogaard, T. (2017). Estimating product-to-product variations in metal forming using force measurements. In Proceedings of the 20th International ESAFORM Conference on Material Forming, ESAFORM 2017 (Vol. 1896).  (AIP conference proceedings; Vol. 1896, No. 1). American Institute of Physics. https://doi.org/10.1063/1.5008077
Havinga, G. T. , van den Boogaard, A. H. , & Klaseboer, G. (2017). Sequential improvement for robust optimization using an uncertainty measure for radial basis functions. Structural and multidisciplinary optimization, 55(4), 1345-1363. https://doi.org/10.1007/s00158-016-1572-5
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.