A method of quantitative analysis of rapid thermal processes through vessel walls under nonisothermal liquid flow

Bol’shukhin, M. A.; Znamenskaya, I. A.; Fomichev, V. I.

doi:10.1134/s1028335815110014

Cited by 7 publications

(5 citation statements)

References 4 publications

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“…The property of water to absorb infrared (IR) radiation on a submillimeter scale has made it possible to propose a method for studying non-isothermal unsteady turbulent fluid flows in a boundary layer [89] based on IR thermography. When registering through an IR-transparent window, the method allows visualizing thermal radiation from a thin near-surface layer of a liquid.…”

Section: Application Of Infrared Thermographymentioning

confidence: 99%

Methods for Panoramic Visualization and Digital Analysis of Thermophysical Flow Fields. A Review.

Znamenskaya¹

2021

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The paper presents a review of modern methods in the registration, processing, and analysis of dynamic processes in liquids, gases, plasmas, multiphase media, which are realized in researches and technology. The review author observes both the physical fundamentals of flow visualization and the basics of modern technologies for digital processing of recorded flow images. A brief analysis of the panoramic visualization methods progress history covers a period of one and a half centuries. In the works of the last decade, the focus is on the methods of computer processing, tools, technologies for analyzing and recognizing of panoramic thermophysical fields, which make it possible to obtain quantitative information about flows. The review contains an analysis of publications describing the main modern methods of visualization of flows: methods based on the phenomenon of refraction; electroluminescence; on digital tracing (particle image velocimetry), visualization of surface flows (PSP and TSP coatings, liquid crystals; oil coatings). Particular attention is paid to methods using crosscorrelation image processing algorithms. Those are: digital tracing (PIV), shadow background method (in English Background Oriented Schlieren -BOS), seedless shadow methods, thermographic PIV, velocity measurement in viscous coatings, micro, tomographic modifications of PIV, etc. The actual problem of digital data analyzing in a panoramic experiment is touched upon -the problem of big data. Examples of the machine learning use in the analysis of big data sets of shadow surveys are given. Some examples of numerical simulation data visualization (simulation of experimental flowfields) are considered.

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Section: Application Of Infrared Thermographymentioning

confidence: 99%

Methods for Panoramic Visualization and Digital Analysis of Thermophysical Flow Fields. A Review.

Znamenskaya¹

2021

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“…1 presents thermographic image taken from video film of turbulent boundary water flow at 115 Hz -submerged impact hot jet in cold water (false colors). Being recorded through an IR-transparent window, thermal imager visualizes instant images of infrared radiation from a thin near-surface water boundary layer [3,4]. The time dependent curves of the measured thermal time-resolved signals at four points of flow field are obtained using FLIR software (Fig.…”

Section: Thermographic Animationmentioning

confidence: 99%

Animations Analysis in Experimental Fluid Dynamics

Znamenskaya¹,

Sysoev²,

Doroshchenko³

2021

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“…The frame rate is less than 1000 frames / s. Figure 1 presents subsequent thermographic images of turbulent boundary water flow at 115 Hzsubmerged impact jet (false colors). Being registered through an IRtransparent window, thermal imager visualizes IR radiation from a thin near-surface layer [3,4]. The time dependences of the measured thermal signals at each point of animation are extracted using FLIR software (Figure 2).…”

Section: Thermographic Animationmentioning

confidence: 99%

Experimental Digital Animation in Fluid Dynamics

Znamenskaya

Sysoev

Doroshchenko

2021

Proceedings of the 31th International Conference on Computer Graphics and Vision. Volume 2

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Digital imaging became one of the main tools for studying unsteady flows. Modern high-speed cameras support video recording at high frame rates which makes it possible to study extended high-speed processes. We demonstrate here different animations: water temperature field evolution with a frame rate of 115 Hz; high-speed shadowgraph visualisation of different flows - water jet formation process (100 000 frames / s), shadowgraph animations of the shock waves created by the pulsed discharges (124 000 frames / s). Also, as an example of plasma flow visualization technique, we offer 9 sequential images of the shock wave - pulse gas discharge visualization obtained by the high-speed CCD camera with the 100 ns delay between frames. We developed in-house software based on the machine vision and learning techniques for automatic flow animations processing. The examples of the automatic oblique shock detection using Canny edge detection and Hough transform and thermal plume detection based on the pre-trained convolutional neural network are provided and discussed.

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A method of quantitative analysis of rapid thermal processes through vessel walls under nonisothermal liquid flow

Cited by 7 publications

References 4 publications

Methods for Panoramic Visualization and Digital Analysis of Thermophysical Flow Fields. A Review.

Methods for Panoramic Visualization and Digital Analysis of Thermophysical Flow Fields. A Review.

Animations Analysis in Experimental Fluid Dynamics

Experimental Digital Animation in Fluid Dynamics

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