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 (5/5 displayed)

  • 2022Inverse design of three-dimensional fiber reinforced composites with spatially-varying fiber size and orientation using multiscale topology optimization31citations
  • 2020Topology optimization of magnetic composite microstructures for electropermanent magnet8citations
  • 2019Asymptotic homogenization of magnetic composite for controllable permanent magnet9citations
  • 2019Inverse design of structure and fiber orientation by means of topology optimization with tensor field variables76citations
  • 2019Cross-section optimization of topologically-optimized variable-axial anisotropic composite structures46citations

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Dede, Ercan M.
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Jung, Taehoon
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Dede, Ercan
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Kondoh, Tsuguo
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Kawamoto, Atsushi
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Kikuchi, Noboru
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Song, Yuyang
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Bittrich, Lars
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Spickenheuer, Axel
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Almeida Júnior, Jhs
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Co-Authors (by relevance)

  • Dede, Ercan M.
  • Jung, Taehoon
  • Dede, Ercan
  • Kondoh, Tsuguo
  • Kawamoto, Atsushi
  • Kikuchi, Noboru
  • Song, Yuyang
  • Bittrich, Lars
  • Spickenheuer, Axel
  • Almeida Júnior, Jhs
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article

Inverse design of structure and fiber orientation by means of topology optimization with tensor field variables

  • Kondoh, Tsuguo
  • Dede, Ercan M.
  • Kawamoto, Atsushi
  • Kikuchi, Noboru
  • Song, Yuyang
  • Nomura, Tsuyoshi
Abstract

This paper presents a topology optimization method which is capable of designing both topology and orientation distribution of anisotropic composite material simultaneously. Topology optimization is a well established structural optimization framework which optimizes the material distribution, i.e. density, in a given design domain for maximum performance. However, a method for structures made of inhomogeneously distributed anisotropic composite material is still under research. In this paper, a topology optimization method is extended to handle orientation distribution together with density distribution. A tensor field design variable is used for modeling orientation based on the idea of the orientation tensor. All tensor components are updated in similar manner to the Free Material Optimization technique while maintaining the physical feasibility by using the existing material tensor for interpolation. Thanks to the tensor representation, the method is free from complications derived from three-dimensional rotation. At the same time, the method works well with common non-linear programming algorithms because the tensor invariants are kept constant by multi-variable projection without point-wise constraints. The proposed method is built upon a modem topology optimization technique, thus, it is versatile and flexible enough to solve multi-load problems. Single loaded and multiply loaded stiffness maximization problems are provided as numerical examples, and characteristics of concurrent density and fiber orientation optimization are investigated.

Topics
  • density
  • impedance spectroscopy
  • anisotropic
  • composite