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 (3/3 displayed)

  • 2023Coating Glass Fibre Yarn with Conductive Materials for Real-Time Structure Sensing2citations
  • 2022Interlayer Defect Detection in Intra-Ply Hybrid Composite Material (GF/CF) Using a Capacitance-Based Sensor7citations
  • 2022Self-Sensing Hybrid Fibre-Reinforced Polymer for Structural Health Monitoring (SHM)4citations

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Chart of shared publication
Alarifi, Ibrahim M.
3 / 10 shared
Alburayt, Anas
3 / 5 shared
Alblalaihid, Khalid
3 / 6 shared
Almutairi, Khaled S.
2 / 2 shared
Khormi, Khalid
1 / 2 shared
Almuzini, Ibrahim
1 / 2 shared
Alharbi, Abdulaziz
1 / 2 shared
Aldoihi, Saad
1 / 2 shared
Abuobaid, Meshal
3 / 4 shared
Alkhibari, Sabri
3 / 4 shared
Alwahid, Ahmed
3 / 4 shared
Almutairi, Saif H.
1 / 1 shared
Alshaikh, Abdullatif
1 / 1 shared
Chart of publication period
2023
2022

Co-Authors (by relevance)

  • Alarifi, Ibrahim M.
  • Alburayt, Anas
  • Alblalaihid, Khalid
  • Almutairi, Khaled S.
  • Khormi, Khalid
  • Almuzini, Ibrahim
  • Alharbi, Abdulaziz
  • Aldoihi, Saad
  • Abuobaid, Meshal
  • Alkhibari, Sabri
  • Alwahid, Ahmed
  • Almutairi, Saif H.
  • Alshaikh, Abdullatif
OrganizationsLocationPeople

article

Interlayer Defect Detection in Intra-Ply Hybrid Composite Material (GF/CF) Using a Capacitance-Based Sensor

  • Alarifi, Ibrahim M.
  • Alburayt, Anas
  • Alblalaihid, Khalid
  • Almutairi, Khaled S.
  • Abuobaid, Meshal
  • Alkhibari, Sabri
  • Alghamdi, Saleh A.
  • Alwahid, Ahmed
  • Almutairi, Saif H.
Abstract

<jats:p>Combining two types of reinforcement fiber in a common matrix may lead to different failure modes such as micro-cracks between the layers when the structure is subjected to lower stress levels. Real-time damage detection should be integrated into the hybrid composite structure to provide structural integrity and mitigate this problem. This paper outlines the working mechanisms and the fabrication of an integrated capacitive sensor in an intra-ply hybrid composite (2 × 2 twill weave). Uniaxial tensile and flexural tests were conducted to characterize the proposed sensor and provide self-sensing functionality (smart structure). The sensitivity and repeatability of the capacitive sensor were measured to be around 1.3 and 185 µΔC/Co, respectively. The results illustrate that onset of damage between layers can be detected by in situ monitoring. It can be seen that the initial damage was detected at the turning point where the relative change in capacitance begins to reduce while the load increases. Finite element modeling was also constructed to analyze the test results and explain the reasons behind the turning point. It was shown that the carbon yarns experienced high transverse shear stress (τxz) in the crimp region, leading to inter-fiber cracks.</jats:p>

Topics
  • impedance spectroscopy
  • Carbon
  • crack
  • composite
  • bending flexural test