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dc.contributor.authorDowling, Adam H
dc.contributor.authorFleming, Garry J P
dc.contributor.authorMcGinley, Emma L
dc.contributor.authorAddison, Owen
dc.date.accessioned2013-05-21T12:12:42Z
dc.date.available2013-05-21T12:12:42Z
dc.date.issued2012-03
dc.identifier.citationImproving the standard of the standard for glass ionomers: an alternative to the compressive fracture strength test for consideration? 2012, 40 (3):189-201 J Denten_GB
dc.identifier.issn1879-176X
dc.identifier.pmid22178630
dc.identifier.doi10.1016/j.jdent.2011.12.002
dc.identifier.urihttp://hdl.handle.net/10147/292517
dc.description.abstractThree strength tests (compressive, three point flexure and biaxial) were performed on three glass ionomer (GI) restoratives to assess the most appropriate methodology in terms of validity and reliability. The influence of mixing induced variability on the data sets generated were eliminated by using encapsulated GIs.
dc.language.isoenen
dc.rightsArchived with thanks to Journal of dentistryen_GB
dc.subject.meshAlgorithms
dc.subject.meshAluminum Silicates
dc.subject.meshCompressive Strength
dc.subject.meshDental Stress Analysis
dc.subject.meshElastic Modulus
dc.subject.meshGlass Ionomer Cements
dc.subject.meshHumans
dc.subject.meshMaterials Testing
dc.subject.meshPliability
dc.subject.meshReproducibility of Results
dc.subject.meshStress, Mechanical
dc.subject.meshSurface Properties
dc.titleImproving the standard of the standard for glass ionomers: an alternative to the compressive fracture strength test for consideration?en_GB
dc.typeArticleen
dc.contributor.departmentMaterials Science Unit, Division of Oral Biosciences, Dublin Dental University Hospital, Trinity College Dublin, Lincoln Place, Dublin 2, Ireland.en_GB
dc.identifier.journalJournal of dentistryen_GB
dc.description.provinceLeinsteren
html.description.abstractThree strength tests (compressive, three point flexure and biaxial) were performed on three glass ionomer (GI) restoratives to assess the most appropriate methodology in terms of validity and reliability. The influence of mixing induced variability on the data sets generated were eliminated by using encapsulated GIs.


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