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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Blekinge Institute of Technology

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2023An evaluation method for experimental necking detection of automotive sheet metals1citations
  • 2019On the Failure Prediction of Dual-Phase Steel and Aluminium Alloys Exposed to Combined Tension and Bending2citations
  • 2019On the Failure Prediction of Dual-Phase Steel and Aluminium Alloys Exposed to Combined Tension and Bending2citations

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Islam, Md Shafiqul
1 / 5 shared
Pham, Quoc Tuan
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Sigvant, Mats
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Endelt, Benny
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2023
2019

Co-Authors (by relevance)

  • Islam, Md Shafiqul
  • Pham, Quoc Tuan
  • Sigvant, Mats
  • Endelt, Benny
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article

An evaluation method for experimental necking detection of automotive sheet metals

  • Islam, Md Shafiqul
  • Barlo, Alexander
  • Pham, Quoc Tuan
  • Sigvant, Mats
Abstract

<jats:title>Abstract</jats:title><jats:p>In sheet metal stamping, the occurrence of strain localization in a deformed sheet is considered a failure. As so, sheet metal’s formability is conventionally evaluated using the Forming Limit Diagram (FLD), which separates the principal strain space into safety and unsafety regions by a Forming Limit Curve (FLC). This study presents an evaluation method for detecting strain localization based on Digital Image Correlation (DIC) during the experiment. The commercial DIC software ARAMIS is adopted to monitor the strain-field distribution on the deformed specimen’s surface. A detailed analysis of the proposed method is presented considering Nakajima tests conducted for two automotive sheet metals: AA6016 and DP800. The identified FLC based on the proposed method is compared with that of well-established methods such as ISO 12004:2-2008 and time-dependent methods. For both investigated materials, the proposed method presents a lower FLC than the others.</jats:p>

Topics
  • impedance spectroscopy
  • surface
  • experiment
  • forming