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)

  • 2006A comparison between optimisation algorithms for metal forming processescitations

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Chart of shared publication
Bonte, M. H. A.
1 / 7 shared
Habbal, A.
1 / 1 shared
Van Den Boogaard, Ton
1 / 135 shared
Huetink, Han
1 / 13 shared
Do, D. T. D.
1 / 1 shared
Chart of publication period
2006

Co-Authors (by relevance)

  • Bonte, M. H. A.
  • Habbal, A.
  • Van Den Boogaard, Ton
  • Huetink, Han
  • Do, D. T. D.
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document

A comparison between optimisation algorithms for metal forming processes

  • Bonte, M. H. A.
  • Habbal, A.
  • Van Den Boogaard, Ton
  • Huetink, Han
  • Fourment, L.
  • Do, D. T. D.
Abstract

Coupling optimisation algorithms to Finite Element (FEM) simulations is a very promisingway to achieve optimal metal forming processes. However, many optimisation algorithms exist and it is notclear which of these algorithms to use. This paper compares an efficient Metamodel Assisted EvolutionaryStrategy (MAES), three variants of a Sequential Approximate Optimisation (SAO) algorithm, and two iterativealgorithms (BFGS and SCPIP). They are compared to each other and to reference situations by application totwo forging examples. It is concluded that bothMAES and SAO outperform the iterative algorithms. Moreover,they yield significant improvements with respect to the reference situations, which makes them both veryinteresting algorithms for optimising metal forming processes

Topics
  • impedance spectroscopy
  • simulation
  • forging
  • microwave-assisted extraction