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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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 (7/7 displayed)

  • 2020Hybrid process chain for the integration of direct ink writing and polymer injection molding13citations
  • 2019Comparison of Selective Laser Melting Post-Processes based on Amplitude and Functional Surface Roughness parameterscitations
  • 2019Modelling the filling behavior of micro structured plastic optical componentscitations
  • 2018Manufacturing Signatures of Injection Molding and Injection Compression Molding for Micro-Structured Polymer Fresnel Lens Production30citations
  • 2018Pitch measurements validation of a structural coloured steel insert using Scanning Confocal Microscopy (SCM) and Atomic Force Microscopy (AFM)citations
  • 2018Evaluation of injection pressure as a process fingerprint for Injection and Injection Compression Molding of micro structured optical componentscitations
  • 2018Zero Defects manufacturing in Injection Compression Molding of Polymer Fresnel Lensescitations

Places of action

Chart of shared publication
Tosello, Guido
7 / 101 shared
Piccolo, Leonardo
1 / 1 shared
Shemelya, Corey
1 / 1 shared
Masato, Davide
1 / 6 shared
Brown, Eric
1 / 7 shared
Haahrlillevang, Lasse
1 / 1 shared
Vedel-Smith, Nikolaj Kjelgaard
1 / 9 shared
Kain, Martin
1 / 7 shared
Calaon, Matteo
5 / 41 shared
Quagliotti, Danilo
3 / 10 shared
Parenti, Paolo
2 / 11 shared
Annoni, Massimiliano
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Garnæs, Jørgen
1 / 6 shared
Yang, Yang
1 / 26 shared
Guochin, Ping
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Zhang, Yang
1 / 38 shared
Parenti, P.
1 / 5 shared
Annoni, M.
1 / 4 shared
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Co-Authors (by relevance)

  • Tosello, Guido
  • Piccolo, Leonardo
  • Shemelya, Corey
  • Masato, Davide
  • Brown, Eric
  • Haahrlillevang, Lasse
  • Vedel-Smith, Nikolaj Kjelgaard
  • Kain, Martin
  • Calaon, Matteo
  • Quagliotti, Danilo
  • Parenti, Paolo
  • Annoni, Massimiliano
  • Garnæs, Jørgen
  • Yang, Yang
  • Guochin, Ping
  • Zhang, Yang
  • Parenti, P.
  • Annoni, M.
OrganizationsLocationPeople

document

Modelling the filling behavior of micro structured plastic optical components

  • Calaon, Matteo
  • Tosello, Guido
  • Loaldi, Dario
  • Quagliotti, Danilo
Abstract

In the case of micro structured and freeform optics, such as Fresnel lenses, the challenges related to the filling of the samples address to formation of weld lines, cavity balance and mostly full replication of the part and its surface features. Even though simulation and modelling can help predict such errors, when dealing with micro structured components the multi-scale requirements of the problem become a challenge. Not only the model definition, but also more practical aspects, as model validation and the definition of the boundary conditions as meshing are time consuming, complex but necessary steps. In this research, modelling of the filling behavior of a micro structured optical component is performed and validated comparing Injection Molding simulation with measured Injection Molded parts. The adoption of different polymer dosages addresses the investigation on “short shots”, in this way the filling of the part could be investigated at different injection instances. The comparison encompasses both micro- and meso- scale quantities, such as the injection pressure measured at the screw, the part mass, and the height of the micro features. The results show that the adopted modelling solution is in accordance with the experimental results at both the geometrical scales.

Topics
  • impedance spectroscopy
  • surface
  • polymer
  • simulation
  • injection molding