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Related Concept Videos

IR Spectrometers01:25

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There are two main infrared (IR) spectrophotometers: dispersive IR spectrometers and Fourier transform infrared (FTIR) spectrometers. In a dispersive IR spectrometer, a beam of infrared radiation produced by a hot wire is divided into two parallel equal-intensity beams using mirrors. One beam passes through the sample, while another is a reference beam. The beams then move through the monochromator, which separates the radiations into a continuous spectrum of different frequencies. The...
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Directly data processing algorithm for multi-wavelength pyrometer (MWP).

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    Unknown emissivity in multi-wavelength pyrometers (MWP) is a challenge. New Gradient Projection (GP) and Internal Penalty Function (IPF) algorithms process MWP data without assuming emissivity models, with IPF showing superior accuracy and efficiency.

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    Area of Science:

    • Thermometry
    • Optical Measurement Techniques
    • Materials Science

    Background:

    • Accurate temperature measurement is critical in high-temperature industrial processes.
    • Multi-wavelength pyrometers (MWP) offer non-contact temperature sensing but are hindered by unknown emissivity.
    • Existing methods rely on emissivity models, which can lead to significant errors due to deviations from reality.

    Purpose of the Study:

    • To develop direct data processing algorithms for MWP that do not require pre-defined spectral emissivity models.
    • To address the challenge of unknown emissivity in MWP temperature inversion.
    • To improve the accuracy and reliability of temperature measurements using MWP.

    Main Methods:

    • Transformation of the MWP data processing problem into a constrained optimization problem.
    • Development and application of two novel algorithms: Gradient Projection (GP) and Internal Penalty Function (IPF).
    • Validation through simulation of various spectral emissivity models and experimental testing on a rocket nozzle.

    Main Results:

    • The Internal Penalty Function (IPF) algorithm demonstrated superior accuracy and efficiency compared to the Gradient Projection (GP) algorithm in simulations.
    • Experimental results from a rocket nozzle temperature test showed excellent agreement between IPF-derived temperatures and the theoretical design temperature.
    • Both GP and IPF algorithms successfully processed MWP data without prior spectral emissivity model assumptions.

    Conclusions:

    • The proposed IPF algorithm offers a direct and effective solution for MWP data processing, overcoming the limitation of unknown emissivity.
    • This approach significantly enhances the reliability and accuracy of temperature measurements in applications utilizing MWP.
    • The combination of IPF algorithms with MWP technology is a promising advancement for precise high-temperature monitoring.