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)

  • 2009Arc voltage behaviour in GMAW-P under different drop transfer modescitations
  • 2008Fuzzy modeling based estimation of short circuit severity in pulse gas metal arc weldingcitations
  • 2008Short circuit severity model for pulse gas metal arc welding of aluminumcitations

Places of action

Chart of shared publication
Kang, Mun-Jin
2 / 3 shared
Yarlagadda, Prasad Kdv
3 / 50 shared
Madasu, Vamsi
1 / 1 shared
Rhee, Sehun
1 / 1 shared
Chart of publication period
2009
2008

Co-Authors (by relevance)

  • Kang, Mun-Jin
  • Yarlagadda, Prasad Kdv
  • Madasu, Vamsi
  • Rhee, Sehun
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article

Short circuit severity model for pulse gas metal arc welding of aluminum

  • Posinaseeti, Praveen
  • Kang, Mun-Jin
  • Rhee, Sehun
  • Yarlagadda, Prasad Kdv
Abstract

Wide use of robotic machines for welding has necessitated the development of optimization techniques to achieve complete automation. The objective of the present study is to develop multiple regression model for quantitatively estimating the severity of the short circuit in pulse gas metal arc welding (GMAW-P) of aluminum, based on experimental results. The model results were found to be in good agreement with the experimental data and yielded satisfactory results

Topics
  • impedance spectroscopy
  • aluminium