dr.ir. B. Nijhuis (Björn)

Researcher
FIP
Fraunhofer Innovation Platform 105
b.nijhuis@utwente.nl
Business card

Expertise

  • Engineering

    • Additive Manufacturing
    • Elements
    • Energy Engineering
    • Thermal Simulation

  • Material Science

    • Three Dimensional Printing
    • Metal
    • Directed Energy Deposition

  • Physics

    • Model

Organisations

Additive manufacturing (AM) offers unprecedented design freedom. However, for production of large metal parts, undesired residual stresses and distortions limit the implementation of this technique. The localised heating of the part by the moving heat source and resulting steep thermal gradients are the cause of these drawbacks. In order to predict and circumvent unwanted effects, a fast yet accurate numerical model for part scale simulations is required. Current progress in this field has not matured to such an extent that a simulation model with tractable computational times is available. The aim of this project is to develop an efficient simulation framework for the large-scale metal AM process. To this end, alternatives to conventional modelling approaches are investigated. Where possible, the complexity of the models is reduced by using well-motivated simplifications to the physical model and model order reduction techniques. This research is conducted within the NWO Perspectief programme AiM2XL.

Publications

2023

Local model order reduction to accelerate additive manufacturing simulations (2023)[Contribution to conference › Abstract] 6th International Workshop on Model Reduction Techniques, MORTech 2023 (Submitted). Nijhuis, B., Havinga, J., Geijselaers, B. & van den Boogaard, T.Capturing Local Temperature Evolution During Additive Manufacturing Through Fourier Neural Operator (2023)In 43rd Computers and Information in Engineering Conference (CIE). Article DETC2023-117055 (Proceedings of the ASME Design Engineering Technical Conference; Vol. 2). American Society of Mechanical Engineers. Chen, J., Xu, W., Baldwin, M., Nijhuis, B., van den Boogaard, T., Gutiérrez, N. G., Narra, S. P. & McComb, C.https://doi.org/10.1115/DETC2023-117055Efficient Thermomechanical Modelling of Large-Scale Metal Additive Manufacturing (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. Nijhuis, B.https://doi.org/10.3990/1.9789036556477

2022

Discontinuous Galerkin FEM with Hot Element Addition for the Thermal Simulation of Additive Manufacturing (2022)Key engineering materials, 926, 297-304. Nijhuis, B., Geijselaers, B., Havinga, J. & Boogaard, T. v. d.https://doi.org/10.4028/p-66s30hLocally-reduced FETI for the Efficient Solution of Transient Problems with Local Nonlinearities (2022)[Contribution to conference › Abstract]. Nijhuis, B., Havinga, J., Geijselaers, B. & van den Boogaard, T.

2021

Efficient thermal simulation of large-scale metal additive manufacturing using hot element addition (2021)Computers & Structures, 245. Article 106463. Nijhuis, B., Geijselaers, B. & van den Boogaard, A. H.https://doi.org/10.1016/j.compstruc.2020.106463

Research profiles

Address

University of Twente

Fraunhofer Innovation Platform (building no. 74), room 105
Hengelosestraat 701
7521 PA Enschede
Netherlands

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