The assessment of multispectral radiation thermometry using linear and log-linear emissivity models for steel

Chang Da Wen, Yi Hau Chr

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Experiments were performed to measure the spectral intensity values of a variety of steel samples at 700, 800, and 900K. The experimental work is coupled with two commonly used emissivity models, linear emissivity models (LEMs) and log-linear emissivity models (LLEs), to examine multispectral radiation thermometry (MRT) on inferring surface temperature. Overall, the first-order LEM and the first-order LLE show the best compensation for different alloys, number of wavelengths, temperatures, and heating time. The results reveal that the better the emissivity model suitably represents real surface emissivity behavior, the more accurate is the inferred temperature by MRT.

Original languageEnglish
Pages (from-to)40-54
Number of pages15
JournalNumerical Heat Transfer, Part B: Fundamentals
Volume58
Issue number1
DOIs
Publication statusPublished - 2010 Jul 1

All Science Journal Classification (ASJC) codes

  • Numerical Analysis
  • Modelling and Simulation
  • Condensed Matter Physics
  • Mechanics of Materials
  • Computer Science Applications

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