A data processing method in the experiment of heat flux testing using inverse methods

The model of axisymmetric heat conduction with the application of Conjugate Gradient Method, Sequential Function Method is adopted to establish a robust, accurate and well-posed method of data processing fit for coaxial thermocouple measuring heat flux. Simulation and stability analysis are made in...

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Bibliographic Details
Published in:Aerospace science and technology 2013-08, Vol.29 (1), p.74-80
Main Authors: Shi, You-An, Zeng, Lei, Qian, Wei-Qi, Gui, Ye-Wei
Format: Article
Language:English
Subjects:
Accuracy
Coaxial thermocouple
Data processing
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Heat conduction
Heat flux
Heat transfer
Instruments, apparatus, components and techniques common to several branches of physics and astronomy
Inverse method
Inverse methods
Mathematical analysis
Mathematical models
Physics
Simulation analysis
Thermal instruments, apparatus and techniques
Thermocouples
Thermometry
Validation experiment
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Description
Summary:The model of axisymmetric heat conduction with the application of Conjugate Gradient Method, Sequential Function Method is adopted to establish a robust, accurate and well-posed method of data processing fit for coaxial thermocouple measuring heat flux. Simulation and stability analysis are made in which four classic function forms of heat flux are estimated to illustrate accuracy, stability, as well as factors of influencing quality of these two parameter estimation methods. Subsequently, a bulb experiment for validation is made, with the analysis of error caused by installation of coaxial thermocouple sensor on experiment model through numerical calculation. All these demonstrate that this data processing method using inverse methods can improve the accuracy of testing very well.
ISSN:1270-9638
1626-3219
DOI:10.1016/j.ast.2013.01.009