Thermal viewer for medical purposes

Druzhkin, E. V.; Хацевич, Т. Н.; Brovka, N. V.

doi:10.1364/jot.82.000408

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…These applications have penetrated the industrial, military and consumer markets, indicating their diversity and the extensive marketing opportunities they present, ranging from examples in security, surveillance, and vehicle, pedestrian and wildlife monitoring systems [1,2,3,4,5,6]. Futhermore, these sensors have contributed significantly to thermography for medical applications, including inflammation detecting and classification of and detection of certain malignancies [7,8,9,10,11]. However, microbolometers are not only limited to thermal imaging, but have also been adopted as pressure sensors [12].…”

Section: Introductionmentioning

confidence: 99%

An analytic model employing an elliptical surface area to determine the gaseous thermal conductance of uncooled VOx microbolometers

Schoeman

Plessis

2016

Sensors and Actuators A: Physical

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This work presents a detailed overview of the analytic methods for calculating the beam and gaseous thermal conductance components associated with uncooled VO x microbolometers. The conventional method to calculate the gaseous component relies on the assumption that the entire plate is maintained at a uniform temperature, thus the surface area of the plate is used for the calculation. We have observed using an industry leading multiphysics simulator that this assumption is not strictly true for VO x microbolometers as the conduction pattern exhibits an elliptical shape. Based on this, we have developed and propose an analytic method that employs an elliptical surface area scaled appropriately with the device dimensions to obtain an estimate of the average temperature conduction pattern. Prototype devices were manufactured and experimentally characterised. The devices exhibit thermal conduction characteristics comparable to those in literature and industry, and we could achieve 0.5 µW/K under vacuum conditions and 15 µW/K at atmospheric pressure with a TCR of −1 %/K. However, both simulated and experimental result sets of the gaseous thermal conductance exhibit large deviations from the conventional analytic method, on average approximately 40 %. The proposed method reduces this average error significantly to less than 10 % when compared to the simulated results.

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