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

Femtosecond Laser Texturization on Coated Steel

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

<jats:p>Surface textures such as laser-induced periodic surface structures (LIPSS) are of great interest to obtain industrial nanopatterns. In this work, plain uncoated 1.2344 steel with and without Chromium Nitride (CrN) and CrN plus diamond-like carbon (DLC) coatings were used in experiments. The laser texturing variables studied were the laser speed (3000–4000 mm/s) and the distance between laser lines (1–10 microns). These structures were characterized by scanning electron microscopy (SEM) and atomic force microscopy (AFM) to obtain an overview of the roughness and to analyze the heights of the obtained structures. A two-dimension fast Fourier transform (2D-FFT) of the SEM images and its characteristic frequencies was used to assess the periodicity of the textured surfaces and thus quantify the far-range order. The speed of laser depth ablation is related to the laser energy density for each coating and textures are qualified using the FFT approach.</jats:p>

Topics
  • density
  • impedance spectroscopy
  • surface
  • Carbon
  • energy density
  • chromium
  • scanning electron microscopy
  • experiment
  • atomic force microscopy
  • nitride
  • steel
  • texture