Analysis of Filtered Thermal-Fluid Video Data from Downward Facing Boiling Experiments

Chi Shih Jao, Faith R. Beck, Nurali Virani, Fan-bill B. Cheung, Asok Ray

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    Abstract

    During severe accidents in a nuclear power plant, in-vessel cooling may be required to mitigate the risk of vessel failure in the event of core meltdown and subsequent corium contamination. This cooling technique, known as in-vessel retention (IVR), entails flooding the reactor cavity with water. If the temperatures are sufficiently high, IVR may cause downward facing boiling (DFB) on the outer surface of the reactor pressure vessel (RPV), which gives rise to two-phase thermal-hydraulic phenomena. The regimes in DFB may range from film boiling to nucleate boiling, where the efficiency of cooling varies immensely between these two. In the DFB geometry under consideration (i.e., a hemispherical vessel), the collected signals/images are heavily contaminated by unavoidable noise and spurious disturbances, which hinder the extraction of pertinent information, such as film thickness and the boiling cycle. This paper proposes a wavelet-based filtering of sensor measurements for denoising of the nonstationary signals with the future objective of estimating the thickness of vapor films in real time, as needed for process monitoring and control. The proposed concept has been validated with experimental data recorded from a pool boiling apparatus for physics-based understanding of the associated phenomena.

    Original languageEnglish (US)
    Article number074502
    JournalJournal of Dynamic Systems, Measurement and Control, Transactions of the ASME
    Volume140
    Issue number7
    DOIs
    StatePublished - Jul 1 2018

    Fingerprint

    video data
    boiling
    Boiling liquids
    vessels
    Fluids
    fluids
    cooling
    Experiments
    Cooling
    reactors
    film boiling
    Core meltdown
    nucleate boiling
    pressure vessels
    nuclear power plants
    Nucleate boiling
    accidents
    hydraulics
    Process monitoring
    Pressure vessels

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Information Systems
    • Instrumentation
    • Mechanical Engineering
    • Computer Science Applications

    Cite this

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    title = "Analysis of Filtered Thermal-Fluid Video Data from Downward Facing Boiling Experiments",
    abstract = "During severe accidents in a nuclear power plant, in-vessel cooling may be required to mitigate the risk of vessel failure in the event of core meltdown and subsequent corium contamination. This cooling technique, known as in-vessel retention (IVR), entails flooding the reactor cavity with water. If the temperatures are sufficiently high, IVR may cause downward facing boiling (DFB) on the outer surface of the reactor pressure vessel (RPV), which gives rise to two-phase thermal-hydraulic phenomena. The regimes in DFB may range from film boiling to nucleate boiling, where the efficiency of cooling varies immensely between these two. In the DFB geometry under consideration (i.e., a hemispherical vessel), the collected signals/images are heavily contaminated by unavoidable noise and spurious disturbances, which hinder the extraction of pertinent information, such as film thickness and the boiling cycle. This paper proposes a wavelet-based filtering of sensor measurements for denoising of the nonstationary signals with the future objective of estimating the thickness of vapor films in real time, as needed for process monitoring and control. The proposed concept has been validated with experimental data recorded from a pool boiling apparatus for physics-based understanding of the associated phenomena.",
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    Analysis of Filtered Thermal-Fluid Video Data from Downward Facing Boiling Experiments. / Jao, Chi Shih; Beck, Faith R.; Virani, Nurali; Cheung, Fan-bill B.; Ray, Asok.

    In: Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, Vol. 140, No. 7, 074502, 01.07.2018.

    Research output: Contribution to journalArticle

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    AU - Ray, Asok

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