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Open AccessArticle

High Resolution Temperature Measurement of Liquid Stainless Steel Using Hyperspectral Imaging

Vrije Universiteit Brussel, Department of Mechanical Engineering, Pleinlaan 2, B-1050 Brussels, Belgium
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Academic Editor: Vittorio M. N. Passaro
Sensors 2017, 17(1), 91; https://doi.org/10.3390/s17010091
Received: 17 October 2016 / Revised: 9 December 2016 / Accepted: 29 December 2016 / Published: 5 January 2017
(This article belongs to the Section Physical Sensors)
A contactless temperature measurement system is presented based on a hyperspectral line camera that captures the spectra in the visible and near infrared (VNIR) region of a large set of closely spaced points. The measured spectra are used in a nonlinear least squares optimization routine to calculate a one-dimensional temperature profile with high spatial resolution. Measurements of a liquid melt pool of AISI 316L stainless steel show that the system is able to determine the absolute temperatures with an accuracy of 10%. The measurements are made with a spatial resolution of 12 µm/pixel, justifying its use in applications where high temperature measurements with high spatial detail are desired, such as in the laser material processing and additive manufacturing fields. View Full-Text
Keywords: hyperspectral imaging; temperature measurement; laser material processing hyperspectral imaging; temperature measurement; laser material processing
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MDPI and ACS Style

Devesse, W.; De Baere, D.; Guillaume, P. High Resolution Temperature Measurement of Liquid Stainless Steel Using Hyperspectral Imaging. Sensors 2017, 17, 91. https://doi.org/10.3390/s17010091

AMA Style

Devesse W, De Baere D, Guillaume P. High Resolution Temperature Measurement of Liquid Stainless Steel Using Hyperspectral Imaging. Sensors. 2017; 17(1):91. https://doi.org/10.3390/s17010091

Chicago/Turabian Style

Devesse, Wim; De Baere, Dieter; Guillaume, Patrick. 2017. "High Resolution Temperature Measurement of Liquid Stainless Steel Using Hyperspectral Imaging" Sensors 17, no. 1: 91. https://doi.org/10.3390/s17010091

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