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 (10/10 displayed)

  • 2024Surface roughness of the parts produced by Tomographic Volumetric Printing (TVP) processcitations
  • 2019Modelling the filling behavior of micro structured plastic optical componentscitations
  • 2018Multiscale dimensional tolerance specifications established on shrinkage assessment in ceramic micro injection molding2citations
  • 2018Manufacturing Signatures of Injection Molding and Injection Compression Molding for Micro-Structured Polymer Fresnel Lens Production30citations
  • 2018Evaluation of injection pressure as a process fingerprint for Injection and Injection Compression Molding of micro structured optical componentscitations
  • 2017Replication assessment of surface texture at sub-micrometre scalecitations
  • 2017Multi Scale Micro and Nano Metrology for Advanced Precision Moulding Technologiescitations
  • 2016An international comparison of surface texture parameters quantification on polymer artefacts using optical instruments30citations
  • 2016Metrology of sub-micron structured polymer surfacescitations
  • 2016Performance verification of focus variation and confocal microscopes measuring tilted ultra-fine surfacescitations

Places of action

Chart of shared publication
Wang, Bin
1 / 18 shared
Sujon, Md Abu Shaid
1 / 6 shared
Islam, Aminul
1 / 68 shared
Calaon, Matteo
3 / 41 shared
Tosello, Guido
8 / 101 shared
Loaldi, Dario
3 / 7 shared
Hansen, Hans Nørgaard
5 / 128 shared
Parenti, Paolo
3 / 11 shared
Annoni, Massimiliano
3 / 11 shared
Gasparin, Stefania
3 / 5 shared
Haitjema, H.
1 / 1 shared
Leach, R. K.
1 / 1 shared
Salaga, J.
1 / 1 shared
Baruffi, Federico
2 / 4 shared
Sobiecki, Rene
1 / 2 shared
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2019
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Co-Authors (by relevance)

  • Wang, Bin
  • Sujon, Md Abu Shaid
  • Islam, Aminul
  • Calaon, Matteo
  • Tosello, Guido
  • Loaldi, Dario
  • Hansen, Hans Nørgaard
  • Parenti, Paolo
  • Annoni, Massimiliano
  • Gasparin, Stefania
  • Haitjema, H.
  • Leach, R. K.
  • Salaga, J.
  • Baruffi, Federico
  • Sobiecki, Rene
OrganizationsLocationPeople

document

Surface roughness of the parts produced by Tomographic Volumetric Printing (TVP) process

  • Wang, Bin
  • Sujon, Md Abu Shaid
  • Islam, Aminul
  • Quagliotti, Danilo
Abstract

Tomographic Volumetric Printing (TVP) presents a revolutionary approach to additive manufacturing, diverging from conventional layer-by-layer methods. This technique uses the principles derived from computed tomography (CT), utilizing three-dimensional volumetric data to simultaneously solidify the entire volume of the 3D object. The surface generation process in TVP calls for intricate control of the printing parameters based on the volumetric data. The printer interprets the three-dimensional information to selectively solidify or manipulate the material voxel by voxel at different locations within the volume. This dynamic process opens new possibilities for manufacturing highly complex and functional surfaces with varying textures, densities and functionalities. To find the capacity of the current state-of-the-art TVP process in terms of surface generation, we systematically examined the surface roughness of TV printed parts on various locations. Theobservations show that TVP can generate surfaces with sub-micrometer texture, thus significantly smoother than the surface produced by traditional layer-by-layer processing techniques. The analysis revealed a certain variability in the average roughness values across different faces and locations of the structure. The discussion in this presentation will revolve around the key findings from the surface analysis and how to minimize surface variations within the same part to improve the overall quality of TV printed samples.

Topics
  • surface
  • tomography
  • texture
  • additive manufacturing