The University of Southampton
University of Southampton Institutional Repository

Influence of surface treatment on strength distribution of vita vmk 68 dental porcelains

Influence of surface treatment on strength distribution of vita vmk 68 dental porcelains
Influence of surface treatment on strength distribution of vita vmk 68 dental porcelains

Weibull distribution function is the most commonly used statistical model for the investigation of mechanical properties of dental ceramics and design process with dental ceramics. However, it is still unclear whether the Weibull distribution function is the most appropriate function for fitting the strength data of dental ceramics with different surface treatments. In this paper, three-point bending test results of feldspathic body porcelain (Vita VMK 68) specimens with four different surface treatments are analysed. According to goodness-of-fit tests (Anderson-Darling test, Kolmogorov-Smirnov test, and Akaike information criterion), it is shown that the type of surface treatment has an important influence on deviation of strength distribution from perfect Weibull statistics. It is concluded that estimation of the most suitable statistical model for Vita VMK 68 is not only a material-dependent but also a process-dependent (machining of the specimens) procedure.

1687-8434
Nohut, Serkan
30c47e5e-7a0a-4c68-81f2-53932523a803
Tasdemir, Ahmet
4d423249-ca59-46a1-9ef0-14d5a0102b4f
Korkmaz, Suleyman Aykut
959074e1-2ec0-405c-b1ec-eeababef216b
Nohut, Serkan
30c47e5e-7a0a-4c68-81f2-53932523a803
Tasdemir, Ahmet
4d423249-ca59-46a1-9ef0-14d5a0102b4f
Korkmaz, Suleyman Aykut
959074e1-2ec0-405c-b1ec-eeababef216b

Nohut, Serkan, Tasdemir, Ahmet and Korkmaz, Suleyman Aykut (2013) Influence of surface treatment on strength distribution of vita vmk 68 dental porcelains. Advances in Materials Science and Engineering, 2013, [128065]. (doi:10.1155/2013/128065).

Record type: Article

Abstract

Weibull distribution function is the most commonly used statistical model for the investigation of mechanical properties of dental ceramics and design process with dental ceramics. However, it is still unclear whether the Weibull distribution function is the most appropriate function for fitting the strength data of dental ceramics with different surface treatments. In this paper, three-point bending test results of feldspathic body porcelain (Vita VMK 68) specimens with four different surface treatments are analysed. According to goodness-of-fit tests (Anderson-Darling test, Kolmogorov-Smirnov test, and Akaike information criterion), it is shown that the type of surface treatment has an important influence on deviation of strength distribution from perfect Weibull statistics. It is concluded that estimation of the most suitable statistical model for Vita VMK 68 is not only a material-dependent but also a process-dependent (machining of the specimens) procedure.

Text
128065 - Version of Record
Available under License Creative Commons Attribution.
Download (1MB)

More information

Accepted/In Press date: 24 August 2013
e-pub ahead of print date: 23 September 2013
Published date: 2013

Identifiers

Local EPrints ID: 487133
URI: http://eprints.soton.ac.uk/id/eprint/487133
ISSN: 1687-8434
PURE UUID: 3e65c7b1-2b8b-447e-bc00-341ee99b6a94
ORCID for Suleyman Aykut Korkmaz: ORCID iD orcid.org/0000-0001-5972-6971

Catalogue record

Date deposited: 14 Feb 2024 17:37
Last modified: 18 Mar 2024 04:15

Export record

Altmetrics

Contributors

Author: Serkan Nohut
Author: Ahmet Tasdemir
Author: Suleyman Aykut Korkmaz ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×