Ten years of parameter estimation applied to dynamic thermophysical property measurements

Year: 2001

Authors: Milano G., Scarpa F., Righini F., Bussolino GC.

Autors Affiliation: DITEC Universita di Genova, Via All’Opera Pia 15 A, I-16145 Genova, Italy
CNR Istituto di Metrologia ‘G. Colonnetti’ Strada delle Cacce 73, I-10135 Torino

Abstract: The parameter estimation theory is considered the best way to estimate thermophysical properties from dynamic experiments. This approach deals with measurement and model errors in a statistical context and provides useful information to optimize the experiment. The experience gained in ten years of implementation of inverse algorithms based on the parameter estimation theory (CLS, MAP, and Kalman filtering) is summarized and presented. Several examples of estimation of thermophysical properties using transient and pulse techniques are reported and discussed. The thermal conductivity, specific heat capacity, and total hemispherical emissivity of different materials (light insulators, Pyrex, and niobium) are presented and compared with data obtained with consolidated techniques and with literature data.

Journal/Review: INTERNATIONAL JOURNAL OF THERMOPHYSICS

Volume: 22 (4)      Pages from: 1227  to: 1240

KeyWords: Dynamic methods; Light insulators; Niobium; Parameter estimation theory; Pyrex; Thermophysical properties
DOI: 10.1023/A:1010672427550

ImpactFactor: 0.773
Citations: 9
data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2024-11-24
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