Vantablack properties in commercial thermal infrared imaging systems

Adams, Arnold; Nicol, Fred; McHugh, Steve; Moore, John P.; Matis, Gregory; Amparan, Gabriel A.

doi:10.1117/12.2518768

Cited by 8 publications

(4 citation statements)

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“…The backplates sealing the blackbodies are copper discs 7 mm in thickness: in initial testing and for the measurements of deionised water described in Part (II) these were also coated in Z306. For the purposes of establishing their performance and also for future use, we acquired a second set of backplates coated with Vanta Black S-IR (Adams et al, 2019). To monitor the blackbody temperature and obtain information regarding any temperature gradient, we use class-A 25 mm x 2.8 mm diameter PRT100 sensors: one is embedded centrally within the backplate disk 1.5 mm from the emission surface and a second is embedded at the front end of the cavity wall (Figure 2(A)).…”

Section: Finesse Front End Scene Selection and Calibration Systemmentioning

confidence: 99%

“…Vantablack S-IR coatings have measured emissivities in excess of 0.997 at wavenumbers greater than 700 cm -1 (Adams et al, 2019) with no known emissivity temperature dependence. The choice of a Vantablack coated blackbody is therefore theoretically preferable over one coated in Z306 and so, in a second iteration of the blackbodies, we coated both backplates with Vantablack S-IR.…”

Section: Blackbody Emissivity Estimatesmentioning

confidence: 99%

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Murray

2024

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Section: Finesse Front End Scene Selection and Calibration Systemmentioning

confidence: 99%

Section: Blackbody Emissivity Estimatesmentioning

confidence: 99%

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Murray

2024

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“…Three samples were attached to the front side of the Kapton tape using silicone heat paste in order to get a high thermal conductance as well as good attachment. A 40 Â 40 Â 3 mm sample of Vantablack 22 is used as a black body reference. This sample was produced by Surrey Nanosystems and consists of an aluminum plate onto which a covering layer of carbon nanotubes is grown.…”

Section: Samplesmentioning

confidence: 99%

Acquisition and Analysis of Hyperspectral Thermal Images for Sample Segregation

et al. 2020

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This study presents the first results of a new type of hyperspectral imager in the longwave thermal radiation range from 8.0-14.0 Âµm which is simpler than readily available Fourier transform infrared spectroscopy (FTIR) based imagers. Conventional thermography images the thermal radiation from hot objects, but an accurate determination of temperature is hampered by the often unknown emissivities of different materials present in the same image. This paper describes the setup and development of a hyperspectral thermal camera based on a low order scanning Fabry-PÃ©rot interferometer (FPI) acting as a bandpass filter. A three-dimensional hyperspectral datacube (two spatial and one spectral dimension) was measured by imaging a high emissivity carbon nanotube coated surface (Vantablack), black painted aluminium, borosilicate glass, Kapton Tape and bare aluminium. A principal component analysis (PCA) of the hyperspectral thermal image (HSTI) clearly segregates the individual samples. The most distinguishable sample from the PCA is the borosilicate petri-dish of which the Si-O-Si bond in borosilicate glass was the most noticeable. Additionally, it was found that the relatively large 1024x768x70 datacube can be reduced to a much smaller cube of size 1024x768x5 containing 92 % of the variance in the original dataset. The possibility of discriminating between the samples by their spectroscopic signature was tested using a logistic regression classifier. The model was fitted to a chosen set of principal components obtained from a PCA of the original hyperspectral datacube. The model was used to predict all pixels in the original datacube resulting in estimates with very high true positive rate (TPR). The highest TPR was obtained for borosilicate glass with a value of 99 % correctly predicted pixels. The remaining TPRs were 94 % for black painted aluminium, 81 % for bare aluminium, 79 % for Kapton Tape, and 70 % for Vantablack. A standard thermographic image was acquired of the same objects where it was found that the samples were mutually indistinguishable in this image. This shows that the hyperspectral thermal image contains sample characteristics which are material related and therefore outperforms standard thermography in the amount of information contained in an image.

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“…Integrating wideband metamaterial absorbers on aluminum alloy suffers from high cost and low yield [3]. Vantablack, an ultra-black coating made by chemically growing carbon nanotubes, is too fragile for many practical applications [4].…”

Section: Introductionmentioning

confidence: 99%

Analysis of anti-reflection mechanisms of the black aluminum alloy made by femtosecond laser processing

Du²,

Sun³

et al. 2022

Mater. Res. Express

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Mitigating the optical reflection of aluminum alloy over a broad spectral range from 0.45μm to 15μm is vital for many applications. This can be realized by introducing efficient light-absorbing textured surfaces via femtosecond laser surface processing. However, a clear analysis of anti-reflection mechanisms of such textured surfaces has not been reported yet. This paper proposes a numerical model of anti-reflective structures is proposed based on SEM and EDS characterization. Multiple anti-reflection mechanisms were revealed intuitively through FDTD simulation.

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Vantablack properties in commercial thermal infrared imaging systems

Cited by 8 publications

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Acquisition and Analysis of Hyperspectral Thermal Images for Sample Segregation

Analysis of anti-reflection mechanisms of the black aluminum alloy made by femtosecond laser processing

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