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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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)

  • 2017Flexible robot-based cast iron deburring cell for small batch production using single-point laser sensor27citations

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Chart of shared publication
Beschi, M.
1 / 1 shared
Villagrossi, E.
1 / 1 shared
Cenati, C.
1 / 1 shared
Molinari Tosatti, Lorenzo
1 / 4 shared
Chart of publication period
2017

Co-Authors (by relevance)

  • Beschi, M.
  • Villagrossi, E.
  • Cenati, C.
  • Molinari Tosatti, Lorenzo
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article

Flexible robot-based cast iron deburring cell for small batch production using single-point laser sensor

  • Beschi, M.
  • Villagrossi, E.
  • Pedrocchi, N.
  • Cenati, C.
  • Molinari Tosatti, Lorenzo
Abstract

The presented work here is devoted to the definition of innovative methodologies to speed up the programming time of a robotized deburring task. The proposed solutions are defined in a standard cast iron foundry scenario, where the deburring workstations are equipped with flexible but inaccurate fixturing system, the working environment is dirty, and the production is characterized by small batches. The developed system exploits a 3D vision sensor, namely a single-point laser displacement sensor (SP-LS), in combination to a handshaking communication process for the robot-sensor information synchronization. Such approach enables the robot to be used as a measuring instrument allowing a fast reconstruction of 3D images extremely robust in hard working conditions. Adopting a two-stage methodology, the comparison of the reconstructed 3D point cloud with the nominal 3D point cloud allows the automatic adjustment of the robot deburring trajectories. An experimental campaign demonstrates the feasibility and the effectiveness of the proposed solutions.

Topics
  • impedance spectroscopy
  • iron
  • cast iron
  • laser sintering