Microscale spectroscopic thermal imaging of n-alkanes

Ryu, Meguya; Romano, M.; Batsale, J.C.; Pradere, C.; Morikawa, J.

doi:10.21611/qirt.2016.108

Cited by 1 publication

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References 17 publications

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“…In the case of the exothermic phenomena in a mixture, such as in the mixed solutions or in the microfluidics, the thermal emission signal detected by the IR camera is dominated by the microscale concentration distribution. In order to extract the temperature and concentration image separately from the observed signals, the combined imaging system of the thermal emission and the IR transmission spectroscopy (thermo-spectroscopy) was proposed and applied the organic material phase transition and the liquid mixture in the microfluidics [1,2].…”

Section: Introductionmentioning

confidence: 99%

Observation of the temperature field dynamics by the thermospectroscopic imaging

Ryu¹,

Morikawa²

2019

Proceedings of QIRT Asia 2019

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Non-contact qualitative measurement of the temperature field with Infrared camera based on the thermal radiation measurement has been extensively investigated for the material thermal characterization and observation of the thermal energy transfer in a microscale. Non-contact temperature measurement has the advantage that the sensor itself does not disturb the temperature field in the sample. However, the estimation of the absolute value of the temperature from the thermal radiation is not always possible, especially in the concentration distributed field, such as in a liquid mixture or in the coexistence region of the several phases of the material. This is due to the emissivity distribution of the sample. Microscale thermospectroscopic imaging has been developed for the simultaneous imaging of the infrared spectrum and thermal emission in mid IR region with microscale special resolution. This imaging method was further extended for the quantitative analysis of the concentration and temperature field in organic molecular system, such as phase transition or the chemical reaction in the microfluidics. This imaging method for the temperature estimation is based on the spatial correlation between emissivity distribution and concentration distribution. In this study, generalized analysis method of the thermospectroscopic imaging was investigated, and the analysis of the phase transition and microscale mixing of the liquids are explained by a unified equation for the concentration and temperature dependent IR camera signal.

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Section: Introductionmentioning

confidence: 99%