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 (1/1 displayed)

  • 2022Cost Analysis of Automated Additive Printer Farms6citations

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Finsterwalder, Florian
1 / 1 shared
Sehrt, Jan T.
1 / 6 shared
Schmidt, Carsten
1 / 11 shared
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2022

Co-Authors (by relevance)

  • Finsterwalder, Florian
  • Sehrt, Jan T.
  • Schmidt, Carsten
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article

Cost Analysis of Automated Additive Printer Farms

  • Finsterwalder, Florian
  • Sehrt, Jan T.
  • Griesbaum, Rainer
  • Schmidt, Carsten
Abstract

<jats:title>Abstract</jats:title><jats:p>Automated additive printer farms, which operate several printers in parallel and thus increase the productivity, are an efficient way to realize a fully flexible mass production, as has been shown by a number of examples. By means of a specifically developed calculation method and virtual representations of various printer farm concepts in a simulation environment, various farm concepts are analyzed regarding the cost structure and the productivity. Also, an automated farm consisting of several low-cost printers is compared to an industrial printer. Subsequently, future scenarios are set up taking into account economic and technological trends allowing an estimation of the impact on the manufacturing costs of automated additive printer farms. In this paper, the analysis is based upon the Fused Layer Modeling (FLM) process, but to a large extent the findings can be transferred to other additive manufacturing processes, for example stereolithography (SL) or digital light processing (DLP).</jats:p>

Topics
  • impedance spectroscopy
  • simulation
  • additive manufacturing