Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Nomura, Tsuyoshi

  • Google
  • 5
  • 10
  • 170

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

Places of action

Chart of shared publication
Dede, Ercan M.
3 / 3 shared
Jung, Taehoon
1 / 1 shared
Dede, Ercan
1 / 1 shared
Kondoh, Tsuguo
1 / 1 shared
Kawamoto, Atsushi
1 / 3 shared
Kikuchi, Noboru
1 / 1 shared
Song, Yuyang
1 / 1 shared
Bittrich, Lars
1 / 12 shared
Spickenheuer, Axel
1 / 20 shared
Almeida Júnior, Jhs
1 / 38 shared
Chart of publication period
2022
2020
2019

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
OrganizationsLocationPeople

article

Cross-section optimization of topologically-optimized variable-axial anisotropic composite structures

  • Bittrich, Lars
  • Spickenheuer, Axel
  • Almeida Júnior, Jhs
  • Nomura, Tsuyoshi
Abstract

<p>While conventional manufacturing and design methods of composite laminates maintain both fiber angle and thickness constant within a ply, tailored fiber placement (TFP) process allows producing laminates by steering fibers curvilinearly, generating structures with a variable-stiffness characteristic. This offers more flexibility to tailor the mechanical properties of laminated structures over conventional constant-stiffness ones. This study presents a methodology to optimize an anisotropic composite structure, comprising in performing cross-section optimization of a topologically-optimized structure through an evolutionary optimization using a genetic algorithm (GA). The optimization formulation is built up accounting for manufacturing characteristics of the TFP process by imposing constraints to generate fiber patterns feasible to be manufactured. The proposed approach locally optimizes both fiber angle and intrinsic thickness build up simultaneously. The structure with its topology and cross-section optimized has a specific stiffness 330% higher than the quasi-isotropic stacking sequence. The cross-section optimization enhances the specific structural stiffness in 22% compared to the topologically-optimized structure.</p>

Topics
  • impedance spectroscopy
  • anisotropic
  • composite
  • isotropic