Application of multispectral radiation thermometry in temperature measurement of thermal barrier coated surfaces

Daniel, Ketui; Feng, Chi; Gao, Shan

doi:10.1016/j.measurement.2016.06.023

Cited by 31 publications

(5 citation statements)

References 30 publications

(39 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Principle of olorimetric temperature measurement. When the ratio of the spectral radiant intensity at λ 1 is equals to λ 2 's, the blackbody's temperature T c is the color temperature of non-blackbody [5].…”

Section: Ccd Temperature Measurement Systemmentioning

confidence: 99%

CCD Temperature Measurement System Design Based on Truncated Mean Weighed Algorithm

Xue

Dong

2015

AMM

View full text Add to dashboard Cite

In order to improve the accuracy, range and instantaneity of high temperature measurement, a CCD (Charge Coupled Device) image temperature measurement system was designed based on multi-sensor truncated mean weighed fusion. Firstly, CCD temperature measurement range was expanded by 6 light filters. Then 15 colorimetric-sensors calculated the surface temperature of experimental molten pool. Finally, the more accurate fusion estimate of temperature value was acquired by using truncated mean weighted factors. The experiment results demonstrate that system have faster processing speed in the measurement of 800°C. The errors were kept within ±2%. This method is effective in improvement of system accuracy and instantaneity.

show abstract

Section: Ccd Temperature Measurement Systemmentioning

confidence: 99%

CCD Temperature Measurement System Design Based on Truncated Mean Weighed Algorithm

Xue

Dong

2015

AMM

View full text Add to dashboard Cite

show abstract

“…Ten spectral emissivity models were selected in a certain wavelength range, and the simulated spectral data were fitted to each of the ten spectral emissivity models using the NLLS curve-fitting technique; models that produced poor fits of spectral radiance and spectral emissivity were then rejected, and predicted temperatures and emissivity coefficients were obtained. The experiments showed that, for zirconia with a coating thickness of 330 µm, the temperature prediction error was less than 1.5% when the ambient temperature was 1273 K and the target temperature was 800-1200 K [10]. To accurately measure the true surface temperature of an object in a high-temperature environment, Liwei Chen et al proposed a multispectral thermometry method based on an adaptive emissivity model using a BP (back propagation) neural network to identify the shapes of spectral data; these shapes were then compared with those of commonly used emissivity models.…”

Section: Introductionmentioning

confidence: 99%

Multispectral Thermometry Method Based on Optimisation Ideas

Zhang,

Liu,

Wang

et al. 2024

Sensors

View full text Add to dashboard Cite

Multispectral thermometry is based on the law of blackbody radiation and is widely used in engineering practice today. Temperature values can be inferred from radiation intensity and multiple sets of wavelengths. Multispectral thermometry eliminates the requirements for single-spectral and spectral similarity, which are associated with two-colour thermometry. In the process of multispectral temperature inversion, the solution of spectral emissivity and multispectral data processing can be seen as the keys to accurate thermometry. At present, spectral emissivity is most commonly estimated using assumption models. When an assumption model closely matches an actual situation, the inversion of the temperature and the accuracy of spectral emissivity are both very high; however, when the two are not closely matched, the inversion result is very different from the actual situation. Assumption models of spectral emissivity exhibit drawbacks when used for thermometry of a complex material, or any material whose properties dynamically change during a combustion process. To address the above problems, in the present study, we developed a multispectral thermometry method based on optimisation ideas. This method involves analysing connections between measured temperatures of each channel in a multispectral temperature inversion process; it also makes use of correlations between multispectral signals at different temperatures. In short, we established a multivariate temperature difference correlation function based on the principles of multispectral radiometric thermometry, using information correlations between data for each channel in a temperature inversion process. We then established a high-precision thermometry model by optimising the correlation function and correcting any measurement errors. This method simplifies the modelling process so that it becomes an optimisation problem of the temperature difference function. This also removes the need to assume the relationships between spectral emissivity and other physical quantities, simplifying the process of multispectral thermometry. Finally, this involves correction of the spectral data so that any impact of measurement error on the thermometry is reduced. In order to verify the feasibility and reliability of the method, a simple eight-channel multispectral thermometry device was used for experimental validation, in which the temperature emitted from a blackbody furnace was identified as the standard value. In addition, spectral data from the 468–603 nm band were calibrated within a temperature range of 1923.15–2273.15 K, resulting in multispectral thermometry based on optimisation principles with an error rate of around 0.3% and a temperature calculation time of less than 3 s. The achieved level of inversion accuracy was better than that obtained using either a secondary measurement method (SMM) or a neural network method, and the calculation speed achieved was considerably faster than that obtained using the SMM method.

show abstract

“…In recent years, numerous scholars have conducted research on methods for measuring and reconstructing 3D radiation temperature. Daniel et al [8] proposed a spectral measurement method utilizing curve fitting techniques to accurately measure the temperature of a target within the range of 800-1200 K. Hertz and Faris [9] employed the principles of spectroscopy to simultaneously capture radiation projections of the transient fireball temperature field from multiple directions. They further integrated the MART algorithm to achieve a two-dimensional reconstruction of the radiation intensity.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional temperature field measurement method based on light field colorimetric thermometry

Yuan,

Cao,

Guo

et al. 2023

J. Eur. Opt. Society-Rapid Publ.

View full text Add to dashboard Cite

This paper proposes a novel method for three-dimensional (3D) temperature measurement using light field colorimetric thermometry, aiming to overcome the challenges associated with the intricate system structure and the limited availability of 3D information in traditional radiation temperature measurement methods. Firstly, the correlation between corresponding image points and the positions of 3D object in the light field image system is analyzed using the ray tracing method. The 3D position acquisition model and the light field colorimetric thermometry model are established, enabling simultaneous acquisition of the spatial coordinates and radiometric information of the 3D object. Then, the light field camera radiation calibration experiment was conducted, and the 3D temperature field will be obtained by employing colorimetric thermometry for each corresponding image point of the same object point. Finally, the experiment employed a light field camera for temperature measurement and reconstruction of candle flames. The accuracy of the temperature measurement is 3.31%, thus confirming the feasibility and effectiveness of the proposed method.

show abstract

Application of multispectral radiation thermometry in temperature measurement of thermal barrier coated surfaces

Cited by 31 publications

References 30 publications

CCD Temperature Measurement System Design Based on Truncated Mean Weighed Algorithm

CCD Temperature Measurement System Design Based on Truncated Mean Weighed Algorithm

Multispectral Thermometry Method Based on Optimisation Ideas

Three-dimensional temperature field measurement method based on light field colorimetric thermometry

Contact Info

Product

Resources

About