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

Mindermann, Pascal

  • Google
  • 10
  • 29
  • 82

University of Stuttgart

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2024Toward reciprocal feedback between computational design, engineering, and fabrication to co-design coreless filament-wound structures6citations
  • 2023Data processing, analysis, and evaluation methods for co-design of coreless filament-wound building systems7citations
  • 2023Adaptive winding pin and hooking capacity model for coreless filament windingcitations
  • 2023International planetary sunshade concept with a function-integrated and scalable support structure based on coreless filament winding3citations
  • 2022Investigation of the Fabrication Suitability, Structural Performance, and Sustainability of Natural Fibers in Coreless Filament Winding34citations
  • 2022Design of fiber-composite/metal-hybrid structures made by multi-stage coreless filament winding16citations
  • 2022Implementation of fiber-optical sensors into coreless filament-wound composite structures16citations
  • 2022Fortschritte im kernlosen Wickeln für eine digitale Prozesscharakterisierung ; Advancements in coreless filament winding towards a digital process characterizationcitations
  • 2022Investigation of the fabrication suitability, structural performance, and sustainability of natural fibers in coreless filament windingcitations
  • 2021Material monitoring of a composite dome pavilion made by robotic coreless filament windingcitations

Places of action

Chart of shared publication
Middendorf, Peter
2 / 21 shared
Zechmeister, Christoph
2 / 7 shared
Bischoff, Manfred
2 / 4 shared
Knippers, Jan
6 / 15 shared
Menges, Achim
2 / 7 shared
Weiskopf, Daniel
1 / 1 shared
Yang, Xiliu
1 / 1 shared
Abdelaal, Moataz
1 / 1 shared
Guo, Yanan
2 / 4 shared
Gresser, Götz Theodor
2 / 3 shared
Schwieger, Volker
2 / 2 shared
Hügle, Sebastian
2 / 2 shared
Forster, David
2 / 3 shared
Kannenberg, Fabian
2 / 2 shared
Balangé, Laura
2 / 2 shared
Pérez, Marta Gil
4 / 11 shared
Gresser, Götz T.
7 / 14 shared
Maheswaran, Tharshan
1 / 1 shared
Acker, Denis
1 / 1 shared
Fasoulas, Stefanos
1 / 3 shared
Ocker, Christof
1 / 1 shared
Müllner, Ralf
1 / 1 shared
Dieringer, Erik
1 / 2 shared
Merkel, Markus
1 / 6 shared
Klink, René
1 / 1 shared
Kamimura, Naoki
1 / 1 shared
Gil Pérez, Marta
1 / 2 shared
Rongen, Bas
1 / 2 shared
Gubetini, Drilon
1 / 1 shared
Chart of publication period
2024
2023
2022
2021

Co-Authors (by relevance)

  • Middendorf, Peter
  • Zechmeister, Christoph
  • Bischoff, Manfred
  • Knippers, Jan
  • Menges, Achim
  • Weiskopf, Daniel
  • Yang, Xiliu
  • Abdelaal, Moataz
  • Guo, Yanan
  • Gresser, Götz Theodor
  • Schwieger, Volker
  • Hügle, Sebastian
  • Forster, David
  • Kannenberg, Fabian
  • Balangé, Laura
  • Pérez, Marta Gil
  • Gresser, Götz T.
  • Maheswaran, Tharshan
  • Acker, Denis
  • Fasoulas, Stefanos
  • Ocker, Christof
  • Müllner, Ralf
  • Dieringer, Erik
  • Merkel, Markus
  • Klink, René
  • Kamimura, Naoki
  • Gil Pérez, Marta
  • Rongen, Bas
  • Gubetini, Drilon
OrganizationsLocationPeople

article

Implementation of fiber-optical sensors into coreless filament-wound composite structures

  • Knippers, Jan
  • Mindermann, Pascal
  • Kamimura, Naoki
  • Gresser, Götz T.
  • Pérez, Marta Gil
Abstract

<p>Fiber-reinforced composite structures manufactured by coreless filament winding (CFW) are adaptable to the individual load case and offer high, mass-specific mechanical performance. However, relatively high safety factors must be applied due to the large deviations in the structural parameters. An improved understanding of the structural behavior is needed to reduce those factors, which can be obtained by utilizing an integrated fiber-optical sensor. The described methods take advantage of the high spatial resolution of a sensor system operating by the Rayleigh backscatter principle. The entire strain fields of several generic CFW samples were measured in various load scenarios, visualized in their spatial contexts, and analyzed by FEM-assisted methods. The structural response was statistically described and compared with the ideal load distribution to iteratively derive the actual load introduction and prove the importance of the sensor integration. The paper describes methods for the sensor implementation, interpretation and the calibration of structural data.</p>

Topics
  • impedance spectroscopy
  • fiber-reinforced composite