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 (7/7 displayed)

  • 2020Experimental Characterization and Simulation of Thermoplastic Polymer Flow Hesitation in Thin-Wall Injection Molding Using Direct In-Mold Visualization Technique11citations
  • 2019Direct flow visualization of hesitation during injection molding of thermoplastic polymers2citations
  • 2018On the effect of machining strategy in micro milling of tool steel surface micro features with optical functionalitycitations
  • 2018A method for the characterization of the reflectance of anisotropic functional surfaces5citations
  • 2017A comparison of reflectance properties on polymer micro-structured functional surfacecitations
  • 2017The impact of tool wear on the functionality of replicated polymer surface with micro structurescitations
  • 2017Investigation of Tooling for Anisotropic Optical Functional Surfacescitations

Places of action

Chart of shared publication
Tosello, Guido
7 / 101 shared
Zhang, Yang
6 / 38 shared
Guerrier, Patrick
1 / 6 shared
Li, D.
1 / 22 shared
Davoudinejad, Ali
1 / 7 shared
Frisvad, Jeppe Revall
2 / 7 shared
Li, Dongya
4 / 4 shared
Aanæs, Henrik
2 / 5 shared
Nielsen, J. B.
1 / 1 shared
Madsen, M. H.
2 / 3 shared
Nielsen, Jannik Boll
3 / 4 shared
Chart of publication period
2020
2019
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Co-Authors (by relevance)

  • Tosello, Guido
  • Zhang, Yang
  • Guerrier, Patrick
  • Li, D.
  • Davoudinejad, Ali
  • Frisvad, Jeppe Revall
  • Li, Dongya
  • Aanæs, Henrik
  • Nielsen, J. B.
  • Madsen, M. H.
  • Nielsen, Jannik Boll
OrganizationsLocationPeople

conferencepaper

The impact of tool wear on the functionality of replicated polymer surface with micro structures

  • Tosello, Guido
  • Zhang, Yang
  • Regi, Francesco
  • Li, Dongya
  • Nielsen, Jannik Boll
Abstract

Wear happened frequently in the tooling process of mold for polymer production. The scope of this paper is to understand how the wear of the milling tool affected the function of the replicated polymer surface. This study is part of the process chain of fabrication of optical functional surfaces on polymer compo-nents. The aiming function of the surfaces is to maximize the reflectance from a certain viewing angle and direction, and minimize from its horizontally orthogonal position, i.e. to maximize the contrast be-tween two horizontally orthogonal view positions at the same inclination. A five-axis micro milling ma-chine was employed to pattern the surface of a steel insert for subsequent polymer replication.<br/>In order to conduct the study, 1200 pixels (0.8 x 0.8 mm2) was machined on the surface of a steel insert using the same mill tool (Ф0.5 mm, ARNO®); each of the pixels contains16 ridges which is illustrated in figure 1 (a). The obtained surface structures were replicated using liquid silicon rubber (LSR).<br/>The mill tool was inspected by scanning electron microscope (SEM) before and after the machining. Noticeable wear was observed. The weight of the studied tool was measured before and after machining for comparison. The obtained surface features on the insert and the LSR replica were measured using a confocal 3D laser scanner. The reflectance of the surfaces on the LSR replica was evaluated using a gonioreflectometer[1]. The gonioreflectometer captured the images of every 100th pixel from all the viewing angles by rotating the sample holder and tilting the objective lens. The reflectance for each configuration were obtained via image processing tools. <br/>Results in this study include: 1. Tool wear was visualized by SEM images, which is shown in figure 1 (b). 2. However, the weight decrease could not be detected due to lack of precision in the measurement. 3. The number of defects on the obtained surface structures increased significantly along with the pro-cess. 4. The reflectance of these pixels on the LSR replica decreased from the first machined one to the last one.<br/>As a conclusion, the tool (Ф 0.5mm, ARNO®) used in this study worn after machining for approximately 100 pixels, considering the function loss of replica surface. Future work will be dedicated to the methods that can prolong the tool life.

Topics
  • impedance spectroscopy
  • surface
  • scanning electron microscopy
  • grinding
  • milling
  • steel
  • Silicon
  • defect
  • rubber