Materials Map

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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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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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Kaur, N.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2023Evaporation Condensation Growth of One-Dimensional Metal Oxide at SENSOR Lab in Brescia for Chemical Sensors Applications2citations
  • 2022Relationship between fracture toughness and fractal dimensional increment in two types of dental glass-ceramics with different fracture surface roughness.5citations
  • 2021SnO2-SiO2 1D Core-Shell Nanowires Heterostructures for Selective Hydrogen Sensing12citations
  • 2020A study on CdCl2 activation of CBD-CdS films7citations
  • 2019Investigations on Amphoteric Chitosan/TiO2 Bionanocomposites for Application in Visible Light Induced Photocatalytic Degradation61citations

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Comini, E.
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Moumen, A.
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Zappa, D.
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Sm, Salazar Marocho
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Ks, Jodha
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Ja, Griggs
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Duan, Y.
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St, Lirette
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Jr, Mecholsky Jj
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H., Raza M.
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Pinna, N.
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P., Jayalath C.
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Gunawardhana, N.
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P., Wijesundera R.
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Sharotri, Nidhi
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Sud, Dhiraj
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Bahal, M.
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Co-Authors (by relevance)

  • Comini, E.
  • Moumen, A.
  • Zappa, D.
  • Sm, Salazar Marocho
  • Ks, Jodha
  • Ja, Griggs
  • Duan, Y.
  • St, Lirette
  • Jr, Mecholsky Jj
  • H., Raza M.
  • Pinna, N.
  • A., Seneviratne V.
  • P., Jayalath C.
  • C., Kumarage W. G.
  • S., Dassanayake B.
  • Gunawardhana, N.
  • P., Wijesundera R.
  • Sharotri, Nidhi
  • Sud, Dhiraj
  • Bahal, M.
OrganizationsLocationPeople

article

Relationship between fracture toughness and fractal dimensional increment in two types of dental glass-ceramics with different fracture surface roughness.

  • Sm, Salazar Marocho
  • Ks, Jodha
  • Kaur, N.
  • Ja, Griggs
  • Duan, Y.
  • St, Lirette
  • Jr, Mecholsky Jj
Abstract

<h4>Objectives</h4>Previous studies have reported the fractal dimensional increment of glass-ceramic fracture surfaces. The objective of this study was to determine the relationship between fracture toughness and fractal dimensional increment of two dental glass-ceramics with different volume fraction of crystals and different fracture surface roughness.<h4>Methods</h4>Bar-shaped specimens were prepared from lithium disilicate (LDS) and nanofluorapatite (NFA) glass-ceramics. One face of each specimen was indented using a Knoop diamond at 25 N (LDS) or 10 N (NFA) followed by loading in 4-point, or 3-point flexure, respectively, until failure. Fracture toughness (K<sub>c</sub>) was calculated using the surface crack in flexure (SCF) technique (ASTM C1421). Epoxy replicas of the fracture surfaces were scanned using the atomic force microscope (AFM) followed by noise filtering. The FRACTALS software was used to determine the fractal dimensional increment (D*) by the Minkowski cover algorithm.<h4>Results</h4>Median (25%, 75% quartiles) fracture toughness of LDS bars were 1.62 (1.59, 1.69) MPa m<sup>1/2</sup> and NFA bars were 0.68 (0.66, 0.74) MPa m<sup>1/2</sup>, respectively. The median fractal dimension (D) value (25%, 75% quartiles) before noise filtering were 2.16 (2.15, 2.17) and after noise filtering were 2.14 (2.14, 2.15) for LDS and before noise filtering were 2.29 (2.21, 2.38) and after noise filtering were 2.17 (2.17, 2.18) for NFA. Median (25%, 75% quartiles) surface roughness (Ra) before noise filtering were 139 (119, 188) nm and after noise filtering were 137 (118, 187) nm for LDS and before noise filtering were 7 (6, 15) nm and after noise filtering were 7 (6, 15) nm for NFA.<h4>Significance</h4>Noise filtering successfully eliminated noise from the material with smooth fracture surfaces (NFA), decreasing the measured fractal dimension. The NFA data fit a K<sub>c</sub> vs. D*<sup>1/2</sup> statistical model for fused silica previously tested using a similar technique. The equation relating fracture toughness to the fractal dimension was modified, accounting for the toughening mechanisms. Fractal analysis with noise filtering can be used to estimate the fracture toughness of dental glass-ceramics that do not exhibit crack bridging.

Topics
  • surface
  • atomic force microscopy
  • glass
  • glass
  • crack
  • Lithium
  • ceramic
  • fracture toughness