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Uncertainty of temperature measurements by infrared thermography for metal cutting applications



Brandon M. Lane, Eric P. Whitenton, Viswanathan Madhavan, M A. Donmez


This paper presents the methodology and results of a comprehensive measurement uncertainty analysis for infrared thermography of a cutting tool during the metal cutting process. The analysis is based on a commercial off-the-shelf (COTS) camera, typical of what may be used in metal cutting research. The temperature measurement equation is derived based on physics principles and compared to others used in thermography literature. An analytical method determines components of standard uncertainty, which are presented with respect to measured object temperature and measurement variables. A Monte Carlo simulation expands on the analytical method by providing comparable and additional uncertainty components to verify analytical results. Additional components include point spread function, chip and tool interactions, and motion blur. The measurement example results in an expanded uncertainty of U = 54.3 °C (k=2) when measuring maximum tool temperature, with tool emissivity and point spread function contributing the most to the measurement uncertainty.


uncertainty, thermography, machining, infrared, Monte Carlo


Lane, B. , Whitenton, E. , Madhavan, V. and Donmez, M. (2013), Uncertainty of temperature measurements by infrared thermography for metal cutting applications, Metrologia, [online], (Accessed May 24, 2024)


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Created December 31, 2013, Updated June 2, 2021