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 (3/3 displayed)

  • 2023A New Approach for Evaluation True Stress–Strain Curve from Tensile Specimens for DC04 Steel with Vision Measurement in the Post-Necking Phases2citations
  • 2019Application of Two Advanced Vision Methods Based on Structural and Surface Analysesto Detect Defects in the Erichsen Cupping Test1citations
  • 2011Advanced metrology of surface defects measurement for aluminum die castingcitations

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Cacko, Robert
1 / 11 shared
Jasiński, Cezary
1 / 6 shared
Kocańda, Andrzej
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Myszka, Dawid
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Chart of publication period
2023
2019
2011

Co-Authors (by relevance)

  • Cacko, Robert
  • Jasiński, Cezary
  • Kocańda, Andrzej
  • Myszka, Dawid
OrganizationsLocationPeople

article

Advanced metrology of surface defects measurement for aluminum die casting

  • Myszka, Dawid
  • Świłło, Sławomir
Abstract

The scientific objective of the research is to develop a strategy to build computer based vision systems for inspection of surface defects in products, especially discontinuities which appear in castings after machining. In addition to the proposed vision inspection method the authors demonstrates the development of the advanced computer techniques based on the methods of scanning to measure topography of surface defect in offline process control. This method allow to identify a mechanism responsible for the formation of casting defects. Also, the methodallow investigating if the, developed vision inspection system for identification of surface defects have been correctly implemented for an online inspection. Finally, in order to make casting samples with gas and shrinkage porosity defects type, the LGT gas meter was used . For this task a special camera for a semi-quantitative assessment of the gas content in aluminum alloy melts, using a Straube-Pfeiffer method was used. The results demonstrate that applied solution is excellent tool in preparing for various aluminum alloys the reference porosity samples, identified next by the computer inspection system.

Topics
  • impedance spectroscopy
  • surface
  • melt
  • aluminium
  • defect
  • porosity
  • die casting