Regression analysis of temperature-dependent mechanical and thermal properties of dielectric technical ceramics

Title: Regression analysis of temperature-dependent mechanical and thermal properties of dielectric technical ceramics
Authors: de Faoite, Daithí
Browne, David J.
Stanton, Kenneth T.
Permanent link: http://hdl.handle.net/10197/8739
Date: Jan-2013
Abstract: Regression analysis is performed on a dataset of temperature-dependent material properties of several ceramic materials. The materials considered are alumina, aluminium nitride, beryllia, fused quartz, sialon and silicon nitride. The properties considered are density, Young's, bulk and shear moduli, Poisson's ratio, tensile, flexural and compressive strength, thermal conductivity, specific heat capacity, and thermal expansion coefficient. The dataset, previously reported by de Faoite et al. (J Mater Sci 47(10):4211, 2012), was compiled to facilitate the materials selection and design of a ceramic component for the Variable Specific-Impulse Magnetoplasma Rocket (VASIMR®). Temperature-dependent material property data are required for accurate thermo-structural modelling of such ceramic components which operate over a wide temperature range. The goal of this paper is to calculate a set of regression coefficients to reduce this dataset to a tractable format for use in the materials selection and design of such components. Regression analysis could not be performed for all material properties for all of these materials, due to a lack of data in the literature, and these gaps in the available data are highlighted.
Type of material: Journal Article
Publisher: Wiley
Copyright (published version): 2013 Wiley
Keywords: Regression analysisCeramicsThermal propertiesMechanical properties
DOI: 10.1007/s10853-012-6759-6
Language: en
Status of Item: Peer reviewed
Appears in Collections:Mechanical & Materials Engineering Research Collection

Show full item record

SCOPUSTM   
Citations 50

5
Last Week
0
Last month
checked on Aug 18, 2018

Download(s) 50

32
checked on May 25, 2018

Google ScholarTM

Check

Altmetric


This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.