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 (7/7 displayed)

  • 2008An optimisation strategy for industrial metal forming processes57citations
  • 2007Modelling, screening, and solving of optimisation problems: Application to industrial metal forming processescitations
  • 2007A Robust Optimisation Strategy for Metal Forming Processes1citations
  • 2007Deterministic and robust optimisation strategies for metal forming proceessescitations
  • 2007A metamodel based optimisation algorithm for metal forming processes42citations
  • 2006A comparison between optimisation algorithms for metal forming processescitations
  • 2006Optimising towards robust metal forming processescitations

Places of action

Chart of shared publication
Van Den Boogaard, Ton
7 / 135 shared
Huétink, J.
1 / 3 shared
Veldman, E.
1 / 1 shared
Ravenswaaij, R. Van
1 / 1 shared
Huetink, Han
3 / 13 shared
Habbal, A.
1 / 1 shared
Fourment, L.
1 / 1 shared
Do, D. T. D.
1 / 1 shared
Carleer, B. D.
1 / 1 shared
Chart of publication period
2008
2007
2006

Co-Authors (by relevance)

  • Van Den Boogaard, Ton
  • Huétink, J.
  • Veldman, E.
  • Ravenswaaij, R. Van
  • Huetink, Han
  • Habbal, A.
  • Fourment, L.
  • Do, D. T. D.
  • Carleer, B. D.
OrganizationsLocationPeople

booksection

A metamodel based optimisation algorithm for metal forming processes

  • Bonte, M. H. A.
  • Van Den Boogaard, Ton
  • Huetink, Han
Abstract

Cost saving and product improvement have always been important goals in the metal forming industry. To achieve these goals, metal forming processes need to be optimised. During the last decades, simulation software based on the Finite Element Method (FEM) has significantly contributed to designing feasible processes more easily. More recently, the possibility of coupling FEM to mathematical optimisation algorithms is offering a very promising opportunity to design optimal metal forming processes instead of only feasible ones. However, which optimisation algorithm to use is still not clear. In this paper, an optimisation algorithm based on metamodelling techniques is proposed for optimising metal forming processes. The algorithm incorporates nonlinear FEM simulations which can be very time consuming to execute. As an illustration of its capabilities, the proposed algorithm is applied to optimise the internal pressure and axial feeding load paths of a hydroforming process. The product formed by the optimised process outperforms products produced by other, arbitrarily selected load paths. These results indicate the high potential of the proposed algorithm for optimising metal forming processes using time consuming FEM simulations.

Topics
  • impedance spectroscopy
  • simulation
  • forming