TY - JOUR
T1 - Regression analysis of temperature-dependent mechanical and thermal properties of dielectric technical ceramics
AU - De Faoite, Daithí
AU - Browne, David J.
AU - Stanton, Kenneth T.
PY - 2013/1
Y1 - 2013/1
N2 - Regression analysis is performed on a data set 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 data set, 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 data set 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.
AB - Regression analysis is performed on a data set 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 data set, 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 data set 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.
UR - http://www.scopus.com/inward/record.url?scp=84871610538&partnerID=8YFLogxK
U2 - 10.1007/s10853-012-6759-6
DO - 10.1007/s10853-012-6759-6
M3 - Article
AN - SCOPUS:84871610538
SN - 0022-2461
VL - 48
SP - 451
EP - 461
JO - Journal of Materials Science
JF - Journal of Materials Science
IS - 1
ER -