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 (2/2 displayed)

  • 2022Femtosecond Laser Texturization on Coated Steel2citations
  • 2021Simulation Approach for Hydrophobicity Replication via Injection Molding5citations

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Garcia Granada, Andres Amador
2 / 6 shared
Colominas, Carles
2 / 5 shared
Sadeghi, Ehsan
1 / 5 shared
Chart of publication period
2022
2021

Co-Authors (by relevance)

  • Garcia Granada, Andres Amador
  • Colominas, Carles
  • Sadeghi, Ehsan
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article

Simulation Approach for Hydrophobicity Replication via Injection Molding

  • Baldi-Boleda, Tomás
  • Garcia Granada, Andres Amador
  • Colominas, Carles
  • Sadeghi, Ehsan
Abstract

<jats:p>Nanopattern replication of complex structures by plastic injection is a challenge that requires simulations to define the right processing parameters. Previous work managed to simulate replication for single cavities in 2D and 3D, showing high performance requirements of CPU to simulate periodic trenches in 2D. This paper presents two ways to approach the simulation of replication of complex 3D hydrophobic surfaces. The first approach is based on previous CFD Ansys Fluent and compared to FE based CFD Polyflow software for the analysis of laminar flows typical in polymer processing and glass forming as well as other applications. The results showed that Polyflow was able to reduce computing time from 72 h to only 5 min as desired in the project. Furthermore, simulations carried out with Polyflow showed that higher injection and mold temperature lead to better replication of hydrophobicity in agreement with the experiments. Polyflow simulations are proved to be a good tool to define process parameters such as temperature and cycle times for nanopattern replication.</jats:p>

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