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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Ponnusami, Sathiskumar A.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (7/7 displayed)

  • 2023A generalised deep learning-based surrogate model for homogenisation utilising material property encoding and physics-based bounds5citations
  • 2019Coupon scale Z-pinned IM7/8552 delamination tests under dynamic loading11citations
  • 2019Computational investigation of porosity effects on fracture behavior of thermal barrier coatings25citations
  • 2018A micromechanical fracture analysis to investigate the effect of healing particles on the overall mechanical response of a self-healing particulate composite15citations
  • 2018Modelling the fracture behaviour of thermal barrier coatings containing healing particles19citations
  • 2014Position-dependent shear-induced austenite–martensite transformation in double-notched TRIP and dual-phase steel samples4citations
  • 2014Position-dependent shear-induced austenite-martensite transformation in double-notched TRIP and dual-phase steel samples4citations

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Nakka, Rajesh
1 / 1 shared
Harursampath, Dineshkumar
1 / 9 shared
Allegri, Giuliano
1 / 32 shared
Ponnusamic, Sathiskumar A.
1 / 1 shared
Cui, Hao
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Partridge, Ivana K.
1 / 25 shared
Petrinic, Nik
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Hallett, Stephen R.
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Mahadik, Yusuf
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Krishnasamy, Jayaprakash
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Turteltaub, Sergio
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Zwaag, Sybrand Van Der
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Schell, Norbert
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Brück, Ekkes
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Zhao, Lie
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Blondé, Romain
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Jimenez-Melero, Enrique
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Van Dijk, Niels
1 / 11 shared
Dijk, Niels Van
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Co-Authors (by relevance)

  • Nakka, Rajesh
  • Harursampath, Dineshkumar
  • Allegri, Giuliano
  • Ponnusamic, Sathiskumar A.
  • Cui, Hao
  • Partridge, Ivana K.
  • Petrinic, Nik
  • Hallett, Stephen R.
  • Mahadik, Yusuf
  • Krishnasamy, Jayaprakash
  • Turteltaub, Sergio
  • Zwaag, Sybrand Van Der
  • Schell, Norbert
  • Brück, Ekkes
  • Zhao, Lie
  • Blondé, Romain
  • Jimenez-Melero, Enrique
  • Van Dijk, Niels
  • Dijk, Niels Van
OrganizationsLocationPeople

article

Modelling the fracture behaviour of thermal barrier coatings containing healing particles

  • Ponnusami, Sathiskumar A.
  • Krishnasamy, Jayaprakash
  • Turteltaub, Sergio
Abstract

The performance of a self-healing Thermal Barrier Coating (TBC) containing dispersed healing particles depends crucially on the mismatch in thermomechanical properties between the healing particles and the TBC matrix. The present work systematically investigates this phenomenon based on numerical simulations using cohesive element-based finite element analysis. The effect of the mismatch in Coefficient of Thermal Expansion (CTE) and fracture strength between the healing particles and the matrix on the fracture characteristics is quantified in detail. Unit cell-based analyses are conducted on a representative self-healing TBC system under a thermal loading step typically experienced by TBC systems in jet turbines. Two different simulation setups are considered within the TBC unit cell namely (i) a single pair of healing particles and (ii) a randomly distributed array of healing particles. The results of the simulations are reported in terms of the fracture pattern, crack initiation temperature and crack length for various CTE mismatch ratios. Correlations are established between the results obtained from the two simulation setups essentially revealing the effect of spatial distribution and proximity of healing particles on the fracture pattern. The results obtained from the analyses can be utilised to achieve a robust design of a self-healing TBC system. ; Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; Aerospace Structures & Computational Mechanics ; Novel Aerospace Materials

Topics
  • impedance spectroscopy
  • simulation
  • crack
  • strength
  • thermal expansion
  • finite element analysis