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Related Experiment Video

Updated: Jun 25, 2026

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames

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Published on: June 1, 2016

Heat flux sensor calibration using noninteger system identification: Theory, experiment, and error analysis.

Jean-Laurent Gardarein¹, Jean-Luc Battaglia, Stefan Löhle

¹TREFLE, Université Bordeaux I, Ecole Nationale Supérieure d'Arts et Métiers,Esplanade des Arts et Métiers, 33405 Talence, France.

The Review of Scientific Instruments

|March 5, 2009

Summary

This study enhances null point calorimeter calibration for high enthalpy plasma flows. The noninteger system identification (NISI) method improves accuracy in heat flux calculations and parameter estimation for various sensor geometries.

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Last Updated: Jun 25, 2026

Experimental Methodology for Estimation of Local Heat Fluxes and Burning Rates in Steady Laminar Boundary Layer Diffusion Flames

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Published on: June 1, 2016

Measurements of Local Instantaneous Convective Heat Transfer in a Pipe - Single and Two-phase Flow

Measurements of Local Instantaneous Convective Heat Transfer in a Pipe - Single and Two-phase Flow

Published on: April 30, 2018

Area of Science:

Plasma Physics
Thermodynamics
Measurement Science

Background:

Null point calorimeters are crucial for measuring heat flux in high enthalpy plasma flows.
Existing calibration techniques often rely on simplifying assumptions that can limit accuracy.
Accurate calibration is essential for reliable experimental data in plasma research.

Purpose of the Study:

To improve the calibration technique for null point calorimeters used in high enthalpy plasma flows.
To enhance the accuracy of heat flux measurements and model parameter estimation.
To validate the noninteger system identification (NISI) technique for new sensor geometries.

Main Methods:

Application of the noninteger system identification (NISI) procedure.
Calculation of the impulse response and its standard deviation.
Comparison of the identified system's response with the classical one-dimensional semi-infinite medium model.

Main Results:

The NISI technique provides a more accurate assessment of absorbed heat flux and model parameters.
The impulse response was calculated with associated standard deviation for improved reliability.
Analysis of the identified system's asymptotic behavior at short times elucidated its characteristics.

Conclusions:

The improved calibration technique using NISI is accurate and applicable to various null point calorimeter geometries.
The method is particularly suitable for sensors designed for high enthalpy plasma flow applications.
This work advances the reliability of heat flux measurements in demanding plasma environments.