2013
DOI: 10.4028/www.scientific.net/amr.811.380
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Emissivity Estimation Using Thermographic Camera

Abstract: This paper proposes a method based on the spectra response of IR detectors mounted on thermographic camera for emissivity measurement at various target surface temperatures, while the reflected temperature istaken into account, and also studies on the effect of surface roughness on the emissivity value. The emissivity (ε8-14μm) of general engineering material such as iron, stainless steel, brass, copper and aluminum obtained in this paper are in agreement with other literatures. Finally, results found that the… Show more

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Cited by 9 publications
(4 citation statements)
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“…It is evident that certain linear dimensions, specifically length ( L ), longitudinal diameter ( D a ), and transverse diameter ( D g ), exhibit the strongest correlation with fruit mass. These dimensions are crucial in grading and sizing date samples, widely recognized as essential physical parameters for these purposes (Ilić et al., 2019; Nunak & Suesut, 2007).…”
Section: Resultsmentioning
confidence: 99%
“…It is evident that certain linear dimensions, specifically length ( L ), longitudinal diameter ( D a ), and transverse diameter ( D g ), exhibit the strongest correlation with fruit mass. These dimensions are crucial in grading and sizing date samples, widely recognized as essential physical parameters for these purposes (Ilić et al., 2019; Nunak & Suesut, 2007).…”
Section: Resultsmentioning
confidence: 99%
“…The measurement of emissivity needs to consider material type, temperature, roughness, angle and direction of emission, wavelength or spectrum of the infrared radiation, and reflection on the surface from the surroundings ( R ). 13,14…”
Section: Introductionmentioning
confidence: 99%
“…The measurement of emissivity needs to consider material type, temperature, roughness, angle and direction of emission, wavelength or spectrum of the infrared radiation, and reflection on the surface from the surroundings (R). 13,14 Tadesse et al 15 used six k-type thermocouples tests to record experimentally the temperature distribution in a turbine housing. Also, an infrared thermography camera was used to determine the emission coefficient and temperature distribution of the turbine and bearing housings.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, the emissivity of glossy transparent glass ranges from 0.90 to 0.97; for glass materials with a reflective metal layer, it is even within the range of 0.20–0.89 (Arasteh, 1991; Ghosh et al, 2014). Very low emissivity (0.02–0.20) occurs with polished metal materials, such as stainless steel, copper and gold (Nunak et al, 2013).…”
Section: Introductionmentioning
confidence: 99%