Characterization of a heat flux sensor using short pulse laser calibration

Löhle, Stefan; Battaglia, Jean-Luc; Batsale, Jean‐Christophe; Enouf, Olivier; Dubard, J.; Filtz, Jean-Rémy

doi:10.1063/1.2736388

Cited by 36 publications

(15 citation statements)

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“…Battaglia et al showed that this model holds for many analytically known problems and only recently, the NISI method has been applied to the classical problem of null-point calorimetry. [1][2][3] In this paper, an analysis of the characteristic feature of the identified system, the impulse response, is described. It is shown that the impulse response changes representatively when certain parameters of the system change and relations can be found, so that the impulse response can serve as a direct tool.…”

Section: Introductionmentioning

confidence: 99%

Analysing inverse heat conduction problems by the analysis of the system impulse response

Löhle¹,

Fuchs²,

Hermann³

et al. 2013

Inverse Problems in Science and Engineering

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The paper presents the application of the non-integer system identification (NISI) method with a focus on the analysis of the system's impulse response. The NISI method being first published in 2001 has been applied to very different inverse heat conduction problems. The results presented in this paper are new findings developed by considering the impulse response as the characteristic of the investigated system. This assumption allows a different view to the problems where the method so far has been restricted. Examples are shown for a system with variable thermophyiscal properties and a surface under transpiration cooling.

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Section: Introductionmentioning

confidence: 99%

Analysing inverse heat conduction problems by the analysis of the system impulse response

Löhle¹,

Fuchs²,

Hermann³

et al. 2013

Inverse Problems in Science and Engineering

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“…In the following the calibration method for the FIPEX sensors is detailed. The PHLUX sensors were calibrated for the incident heat flux density using the NISI (non-integer system identification) method (Löhle et al, 2013(Löhle et al, , 2007. A microwave generator (2.45 GHz, Sairem, France) is used to produce a low-pressure oxygen plasma as a source of atomic oxygen, a technique widely employed in various technical and scientific applications and well studied in the literature (Lebedev, 2010).…”

Section: Calibrationmentioning

confidence: 99%

Measurement of atomic oxygen in the middle atmosphere using solid electrolyte sensors and catalytic probes

et al. 2015

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Abstract. The middle-and upper-atmospheric energy budget is largely dominated by reactions involving atomic oxygen (O). Modeling of these processes requires detailed knowledge about the distribution of this oxygen species. Understanding the mutual contributions of atomic oxygen and wave motions to the atmospheric heating is the main goal of the rocket project WADIS (WAve propagation and DISsipation in the middle atmosphere). It includes, amongst others, our instruments for the measurement of atomic oxygen that have both been developed with the aim of resolving density variations on small vertical scales along the trajectory. In this paper the instrument based on catalytic effects (PHLUX: Pyrometric Heat Flux Experiment) is introduced briefly. The experiment employing solid electrolyte sensors (FIPEX: Flux φ(Phi) Probe Experiment) is presented in detail. These sensors were laboratory calibrated using a microwave plasma as a source of atomic oxygen in combination with mass spectrometer reference measurements. The spectrometer was in turn calibrated for O with a method based on methane. In order to get insight into the horizontal variability, the rocket payload had instrument decks at both ends. Each housed several sensor heads measuring during both the up-and downleg of the trajectory. The WADIS project comprises two rocket flights during different geophysical conditions. Results from WADIS-1 are presented, which was successfully launched in June 2013 from the Andøya Space Center, Norway. FIPEX data were sampled at 100 Hz and yield atomic oxygen density profiles with a vertical resolution better than 9 m. This allows density variations to be studied on very small spatial scales. Numerical simulations of the flow field around the rocket were done at several points of the trajectory to assess the influence of aerodynamic effects on the measurement results. Density profiles peak at 3 × 10 10 cm −3 at altitudes of 93.6 and 96 km for the up-and downleg, respectively.

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“…In order to apply this approach, the methodology consists first in identifying the thermal behavior of the sensor according to relation (2). This stage can be viewed as a calibration of the sensor.…”

Section: Theorymentioning

confidence: 99%

“…Transient heat flux measurements are widely used when time resolution is required or harsh environments do not allow steady-state sensor technique [1], [2]. The principle of the present sensor is to measure the temperature inside an appropriate material which is part of the heat flux sensor and to estimate the heat flux from inverse heat conduction calculation.…”

Section: Introductionmentioning

confidence: 99%

“…Measurement times down to 0.03s with a high resolution are required. An improvement of this sensor is needed because measurements at very short times are not specified and recent calculations showed that relation (1) is no longer valid [2], [7]. It appears that the thermocouple's junction never reaches a homogeneous temperature for each sampling acquisition time during exposure duration [8].…”

Section: Introductionmentioning

confidence: 99%

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