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

Ladani, Raj B.

  • Google
  • 17
  • 11
  • 1161

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (17/17 displayed)

  • 2023Bioinspired design optimization for pseudo-ductility in platelet fibre laminates4citations
  • 2019Liquid metal synthesis of two-dimensional aluminium oxide platelets to reinforce epoxy composites17citations
  • 2018Fracture and fatigue behaviour of epoxy nanocomposites containing 1-D and 2-D nanoscale carbon fillers46citations
  • 2018Increasing the fatigue resistance of epoxy nanocomposites by aligning graphene nanoplatelets34citations
  • 2017Aligning carbon nanofibres in glass-fibre/epoxy composites to improve interlaminar toughness and crack-detection capability70citations
  • 2017Porous PDMS/CNFS composites for stretchable strain sensorscitations
  • 2017Alignment of nano and micron diameter carbon fillers in epoxy via electric fieldcitations
  • 2017Enhancing fatigue resistance and damage characterisation in adhesively-bonded composite joints by carbon nanofibres67citations
  • 2017Ductility of platelet composites inspired by nacre designcitations
  • 2017Using carbon nanofibre Sensors for in-situ detection and monitoring of disbonds in bonded composite joints9citations
  • 2017Novel electrically conductive porous PDMS/carbon nanofiber composites for deformable strain sensors and conductors274citations
  • 2016A novel route for tethering graphene with iron oxide and its magnetic field alignment in polymer nanocomposites48citations
  • 2016Multifunctional properties of epoxy nanocomposites reinforced by aligned nanoscale carbon90citations
  • 2015Disbond monitoring of adhesive joints reinforced with carbon nanofibrescitations
  • 2015Aligning multilayer graphene flakes with an external electric field to improve multifunctional properties of epoxy nanocomposites345citations
  • 2015Epoxy nanocomposites with aligned carbon nanofillers by external electric fieldscitations
  • 2015Improving the toughness and electrical conductivity of epoxy nanocomposites by using aligned carbon nanofibres157citations

Places of action

Chart of shared publication
Ravindran, Anil R.
8 / 8 shared
Mouritz, Adrian P.
17 / 17 shared
Wang, Chun H.
17 / 21 shared
Kinloch, Anthony J.
14 / 20 shared
Kalantar-Zadeh, Kourosh
1 / 20 shared
Zavabeti, Ali
1 / 7 shared
Daeneke, Torben
1 / 14 shared
Ghorbani, Kamran
9 / 9 shared
Bhasin, Mukesh
2 / 2 shared
Zhang, Jin
9 / 24 shared
Bafekrpour, Ehsan
1 / 3 shared
Chart of publication period
2023
2019
2018
2017
2016
2015

Co-Authors (by relevance)

  • Ravindran, Anil R.
  • Mouritz, Adrian P.
  • Wang, Chun H.
  • Kinloch, Anthony J.
  • Kalantar-Zadeh, Kourosh
  • Zavabeti, Ali
  • Daeneke, Torben
  • Ghorbani, Kamran
  • Bhasin, Mukesh
  • Zhang, Jin
  • Bafekrpour, Ehsan
OrganizationsLocationPeople

document

Using carbon nanofibre Sensors for in-situ detection and monitoring of disbonds in bonded composite joints

  • Kinloch, Anthony J.
  • Ladani, Raj B.
  • Mouritz, Adrian P.
  • Ghorbani, Kamran
  • Wang, Chun H.
  • Zhang, Jin
Abstract

<p>This paper focuses on the ability of carbon nanofibre (CNF) networks to in situ monitor fatigue induced disbond damage in adhesive bonded composite joints. The inclusion of CNFs in the epoxy adhesive increases its conductivity by five orders of magnitude. The improved electrical conductivity is utilized to evaluate the ability of the CNF network to monitor and detect the fatigue induced disbond damage by measuring the in-situ resistance changes using a four probe setup. The changes in total resistance was a function of the bulk electrical resistivity of the adhesive and the bond dimensions, which were related to the disbond length to model and determine the size of the disbond. The simple resistivity model was in good agreement with the resistance measured during fatigue testing. Good agreement was found between the optical disbond observations and the disbond length calculated using the proposed model. Finite element simulations were performed to ascertain the range of applicability of the proposed model. The simplicity of the disbond detection technique via direct current potential drop technique enables real time monitoring of crack growth in the composite structure.</p>

Topics
  • impedance spectroscopy
  • Carbon
  • inclusion
  • resistivity
  • simulation
  • crack
  • fatigue
  • composite
  • electrical conductivity
  • fatigue testing