2018 Joint Thermophysics and Heat Transfer Conference 2018
DOI: 10.2514/6.2018-3590
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Characterization of a radiometer window for Mars aftbody heating including ablation product deposition using a miniature arc jet

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Cited by 8 publications
(3 citation statements)
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“…Sapphire allows for a high and flat spectral transmittivity in the range of interest (190 to 5000 nm). This instrument measures the total radiative flux (190-5000 nm) on the backshell with a field of view of 154 o and a measurement range of 0-150 kW/m 2 covering the expected total peak heat rate of 90 kW/m 2 [9]. However, even within the small ablation levels occurring at the back shell of the Mars 2020 capsule, arc jet tests [9] have shown a 12-30% loss of signal depending on the TPS material and an expected 20% loss for the Mars 2020 flight profile.…”
Section: Gardon Gauge (Mars 2020)mentioning
confidence: 99%
“…Sapphire allows for a high and flat spectral transmittivity in the range of interest (190 to 5000 nm). This instrument measures the total radiative flux (190-5000 nm) on the backshell with a field of view of 154 o and a measurement range of 0-150 kW/m 2 covering the expected total peak heat rate of 90 kW/m 2 [9]. However, even within the small ablation levels occurring at the back shell of the Mars 2020 capsule, arc jet tests [9] have shown a 12-30% loss of signal depending on the TPS material and an expected 20% loss for the Mars 2020 flight profile.…”
Section: Gardon Gauge (Mars 2020)mentioning
confidence: 99%
“…19 Furthermore, studying the emissions of these materials in the laboratory environment can inform simulation and experimental test efforts to investigate how the ablation of these materials changes the radiative emissions and aerothermal chemistry of high-speed vehicle flowfields. 20,21 The development of models that relate changes in molecular emissions of C species to changes in hydrocarbon concentration in a system would greatly benefit experimental efforts to quantitatively analyze hydrocarbon-air plasmas. In recent years, there has been an increase in the implementation of machine learning (ML) for chemical analysis of LIBS spectra in a variety of fields, such as metallurgy, 22,23 geochemical analysis, 24,25 and pharmaceutical chemistry.…”
Section: Introductionmentioning
confidence: 99%
“…19 Furthermore, studying the emissions of these materials in the laboratory environment can inform simulation and experimental test efforts to investigate how the ablation of these materials changes the radiative emissions and aerothermal chemistry of high-speed vehicle flowfields. 20,21…”
Section: Introductionmentioning
confidence: 99%