Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2021Multiphysical modeling and optimal control of material properties for photopolymerization processes25citations

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Chart of shared publication
Weiland, Siep
1 / 1 shared
Hafkamp, Thomas M.
1 / 1 shared
Remmers, Joris J. C.
1 / 10 shared
Classens, Koen
1 / 1 shared
Chart of publication period
2021

Co-Authors (by relevance)

  • Weiland, Siep
  • Hafkamp, Thomas M.
  • Remmers, Joris J. C.
  • Classens, Koen
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article

Multiphysical modeling and optimal control of material properties for photopolymerization processes

  • Weiland, Siep
  • Westbeek, Steyn
  • Hafkamp, Thomas M.
  • Remmers, Joris J. C.
  • Classens, Koen
Abstract

Photopolymerization-based Additive Manufacturing (AM), a technique in which a product is built in a layerwise fashion by local curing of a liquid monomer, is increasingly being adopted by the high-tech sector. Nevertheless, industry still faces several challenges to improve the repeatability of product quality, as recognized by several authorities on AM standardization. It is commonly recognized that there is a need for an in-depth understanding, in-situ monitoring and real-time control of the curing process to work towards end-products of higher quality. This motivates the investigation on closed-loop control of the curing process and the build-up of material properties. This pioneering research contributes to the development of a control-oriented model in the form of a state-space description that describes the multiphysical photopolymerization process and connects curing kinetics, heat flow, strain and stress evolution. This work focuses on one spatial dimension and is extendable to higher dimensions. Moreover, an extension to existing control systems theory is proposed to anticipatively control the process through the quadratic tracking framework. The control strategy is based on sequential linearization of the nonlinear model obtained from multiphysical modelling. This theoretical-numerical approach demonstrates the potential of model-based control of the material property build-up during vat photopolymerization processes such as stereolithography and serves as a proof of principle.

Topics
  • impedance spectroscopy
  • theory
  • curing
  • vat photopolymerization