Chosen methods determining flow parameters based on non-invasive techniques

Volodymyr Mosorov

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ISBN/ISSN:

978-83-012-0506-5

DOI:

Wydawnictwo:

Wydawnictwo Naukowe PWN

Rok wydania:

2019

Liczba stron:

152

XML:ISBN/ISSN:

ONIX MARC21

Bibliografia:

Mosorov, Volodymyr. Chosen methods determining flow parameters based on non-invasive techniques. Red. . Warszawa: Wydawnictwo Naukowe PWN, 2019, 152 s. ISBN 978-83-012-0506-5

Bibliografia refWorks:

RT Book, Whole

SR Electronic(1)

A1 Mosorov, V.

T1 Chosen methods determining flow parameters based on non-invasive techniques

PB Wydawnictwo Naukowe PWN

PP Warszawa

YR 2019

SN 978-83-012-0506-5

Bibliografia BibTex:

@Book{ 212254, author = "Mosorov, Volodymyr", editor = "", title = "Chosen methods determining flow parameters based on non-invasive techniques", publisher = "Wydawnictwo Naukowe PWN", year = "2019", address = "Warszawa", isbn = "978-83-012-0506-5" }

Bibliografia endNote:

TY - BOOK

AU - Mosorov, Volodymyr

ED -

TI - Chosen methods determining flow parameters based on non-invasive techniques

PB - Wydawnictwo Naukowe PWN

CY - Warszawa

PY - 2019

SN - 978-83-012-0506-5

ER -

Netografia (standard APA):

Mosorov, Volodymyr. Chosen methods determining flow parameters based on non-invasive techniques [baza danych online] Warszawa: Wydawnictwo Naukowe PWN, 2019 [dostęp: 10 09 2024]. Dostęp w Ibuk Libra: https://libra.ibuk.pl/reader/chosen-methods-determining-flow-parameters-based-on-non-invasive-volodymyr-mosorov-212254.

The monograph presents a review of classical and a presentation of new methodologies of non-invasive (non-contact) flow measurement techniques of nultiphase media and a number of algorithms applicable in the field. The discussed methods are mainly...

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ISBN/ISSN:

978-83-012-0506-5

DOI:

Wydawnictwo:

Wydawnictwo Naukowe PWN

Rok wydania:

2019

Liczba stron:

152

XML:ISBN/ISSN:

ONIX MARC21

Preface8
Abbreviations10
Nomenclature12
Summary14
Introduction16
Chapter 1. Multiphase Flow Measurements 22
1.1. Multiphase flow metering22
1.2. Multiphase flow classification23
Summary25
Chapter 2. Tomographic Imaging Systems 26
2.1. Electrical resistance tomography27
2.2. Electrical capacitance tomography28
2.3. Reconstruction algorithms30
Summary34
Chapter 3. Algorithms for the Real-Time Measurement of Multiphase Flow Parameters Based on Tomographic Images 36
3.1. Methods for multiphase flow velocity determination37
3.1.1. Pixel to pixel based cross-correlation method for flow velocity calculation37
3.1.2. Best-correlated pixel method38
3.1.3. Virtual channel concept method42
3.1.4. Weighted-mean phases method46
3.1.5. Phase spectrum method for time delay estimation using twin plane electrical capacitance tomography58
3.2. Algorithms for swirl flow velocity measurements62
3.2.1. The centre of gravity method64
3.2.2. Spatio-temporal cross-correlation method for swirl flow velocity measurement65
3.2.3. Estimation of the rotation angle of gas/solid swirl flow by subpixel image resizing73
3.3. Flow pattern tracing method80
3.4. Estimation of tomography in mixing processes based on tomographic images87
Summary94
Chapter 4. Algorythms for the Radioactive Particle Tracking Technique 96
4.1. MCNP5 code in radioactive particle tracking97
4.1.1. The MCNP5 model97
4.1.2. Algorithm validation101
4.2. Iterative position reconstruction algorithm for radioactive particle tracking techniques107
4.2.1. Algorithm description107
4.2.2. Algorithm validation110
4.3. Strategy for fitting source strength and reconstruction procedure in radioactive particle tracking114
4.4. Modelling of dynamic experiments in the MCNP5 environment122
4.4.1. Theory123
4.4.2. Dynamic model benchmarking126
4.5. The Lambert-Beer Law in time domain form and its application128
4.5.1. The Lambert-Beer Law in time form131
4.5.2. Simulation results133
Summary140
Conclusion142
References144

Preface

Multiphaseflowsandtheirphenomenahaveincreasinglybecomethesubjectof

investigationinawidevarietyofengineeringsystems,similarlytothedevelopment

offlowquantities,whichareessentialintheunderstandingofmanytechnicalpro-

cesses.Multiphaseflowmeteringandcharacterisationareabigchallengeinmany

industrialsystemsfortheiroptimumdesignandsafeoperation.Itis,however,byno

meanssufficientforthecontroloftoday’smodernindustrialtechnology,wherethe

transportofmaterialsisacrucialelementintheproductionprocess.Inallareasof

theindustrialenvironment,fromthefoodtothepetrochemicalindustry,control

offlowisthemainproblemfrombothaneconomicandproductqualitypointofview,

wherehighprecisionofflowmeteringisunrelentinglyrequiredinordertoprecisely

controltheprocess.

Thekeyparameterofflowmeasurementsisvelocity.Therefore,themotivation

forwritingthismonographhasbeentheneedforaworkcoveringthefullrangeof

algorithmsfordeterminingthevelocitycomponentsinmultiphaseflows.Inthecase

ofadynamicmultiphaseflow,especiallysuchasaswirlflow,velocityvariations

inmagnitudeanddirectionareoneofthemostimportantissuesgeneratingerrors

duringflowmeasurement.Inthiscase,determiningthevelocityrequiresadditional

analysisofallthreevelocitycomponents:axial,radialandangular.

Themonographpresentsareviewofalgorithmsusingnon-invasivemethods

thatenableamoreaccuratedeterminationofthekeyflowparameters,especially

formultiphaseflows.Inordertomeettherequirement,methodsofflowparameter

measurementhavebeenconsideredbasedonstatisticalanalysisofdatagathered

frome.g.ElectricalTomographysystemsorRadioactiveParticleTrackingtechnique

systems.Allthepresentedmethodshavebeendevelopedwiththedirectparticipation

oftheauthorandexpresshismanyyearsofexperienceinthisscientificfield.

Theauthorhopesthatthemonographwillbeusefulforawiderangeofreaders

dealingwiththedevelopmentofalgorithmsforflowmeasurements.

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