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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1.080 Topics available

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693.932 PEOPLE
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Naji, M.
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Alarifi, Ibrahim M.

  • Google
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2023Investigation of boron-doped graphene oxide anchored with copper sulphide flowers as visible light active photocatalyst for methylene blue degradation40citations
  • 2023Investigation of boron-doped graphene oxide anchored with copper sulphide flowers as visible light active photocatalyst for methylene blue degradationcitations
  • 2023Coating Glass Fibre Yarn with Conductive Materials for Real-Time Structure Sensing2citations
  • 2023Tribological performance of TiB2-graphene Al 7075 hybrid composite processed through squeeze casting: At room and high temperature21citations
  • 2023Quasi-static compressive behaviour of epoxy composites reinforced with crumb rubber6citations
  • 2023Machine learning‐based prediction of mechanical and thermal properties of nickel/cobalt/ferrous and dried leaves fiber‐reinforced polymer hybrid composites10citations
  • 2022Interlayer Defect Detection in Intra-Ply Hybrid Composite Material (GF/CF) Using a Capacitance-Based Sensor7citations
  • 2022Machinability Performance Investigation of TiAlN-, DLC-, and CNT-Coated Tools during Turning of Difficult-to-Cut Materials6citations
  • 2022Quasi-Static Flexural Behavior of Epoxy-Matrix-Reinforced Crump Rubber Composites8citations
  • 2022Self-Sensing Hybrid Fibre-Reinforced Polymer for Structural Health Monitoring (SHM)4citations

Places of action

Chart of shared publication
Tahir, Noor
1 / 1 shared
Mansha, Asim
2 / 2 shared
Yaseen, Muhammad
2 / 3 shared
Alamir, Mohammed A.
3 / 3 shared
Shahid, Imran
1 / 3 shared
Mustafa, Ghulam
2 / 6 shared
Zahid, Muhammad
1 / 7 shared
Farhan, Ahmad
1 / 3 shared
Noor Ayuma, Mat Tahir
1 / 1 shared
Alburayt, Anas
3 / 5 shared
Alblalaihid, Khalid
4 / 6 shared
Almutairi, Khaled S.
2 / 2 shared
Khormi, Khalid
1 / 2 shared
Almuzini, Ibrahim
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Alharbi, Abdulaziz
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Aldoihi, Saad
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Abuobaid, Meshal
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Alkhibari, Sabri
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Alghamdi, Saleh A.
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Alwahid, Ahmed
3 / 4 shared
Vaishnav, V.
1 / 1 shared
Pruncu, Catalin I.
1 / 28 shared
Shahapurkar, Kiran
3 / 9 shared
Lamberti, Luciano
1 / 1 shared
Chenrayan, Venkatesh
4 / 9 shared
Manivannan, Chandru
2 / 2 shared
Tirth, Vineet
3 / 9 shared
Kiran, Mc
1 / 1 shared
Ali, Vakkar
1 / 1 shared
Elbagory, Tarek M. A. A.
1 / 1 shared
Sanjay, M. R.
1 / 4 shared
Mohit, H.
1 / 1 shared
Almutairi, Saif H.
1 / 1 shared
Krishna, Ankit
1 / 1 shared
Algahtani, Ali
1 / 7 shared
Alghtani, Abdulaziz H.
1 / 5 shared
Kiran, M. C.
1 / 2 shared
Alshaikh, Abdullatif
1 / 1 shared
Chart of publication period
2023
2022

Co-Authors (by relevance)

  • Tahir, Noor
  • Mansha, Asim
  • Yaseen, Muhammad
  • Alamir, Mohammed A.
  • Shahid, Imran
  • Mustafa, Ghulam
  • Zahid, Muhammad
  • Farhan, Ahmad
  • Noor Ayuma, Mat Tahir
  • Alburayt, Anas
  • Alblalaihid, Khalid
  • Almutairi, Khaled S.
  • Khormi, Khalid
  • Almuzini, Ibrahim
  • Alharbi, Abdulaziz
  • Aldoihi, Saad
  • Abuobaid, Meshal
  • Alkhibari, Sabri
  • Alghamdi, Saleh A.
  • Alwahid, Ahmed
  • Vaishnav, V.
  • Pruncu, Catalin I.
  • Shahapurkar, Kiran
  • Lamberti, Luciano
  • Chenrayan, Venkatesh
  • Manivannan, Chandru
  • Tirth, Vineet
  • Kiran, Mc
  • Ali, Vakkar
  • Elbagory, Tarek M. A. A.
  • Sanjay, M. R.
  • Mohit, H.
  • Almutairi, Saif H.
  • Krishna, Ankit
  • Algahtani, Ali
  • Alghtani, Abdulaziz H.
  • Kiran, M. C.
  • 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