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A SHORT INTRODUCTION TO TWO-PHASE FLOWS Industrial occurrence and - - PowerPoint PPT Presentation

A SHORT INTRODUCTION TO TWO-PHASE FLOWS Industrial occurrence and flow regimes Herv e Lemonnier DM2S/STFM/LIEFT, CEA/Grenoble, 38054 Grenoble Cedex 9 T el. 04 38 78 45 40 herve.lemonnier@cea.fr , herve.lemonnier.sci.free.fr/TPF/TPF.htm


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SLIDE 1

A SHORT INTRODUCTION TO TWO-PHASE FLOWS Industrial occurrence and flow regimes

Herv´ e Lemonnier DM2S/STFM/LIEFT, CEA/Grenoble, 38054 Grenoble Cedex 9 T´

  • el. 04 38 78 45 40

herve.lemonnier@cea.fr, herve.lemonnier.sci.free.fr/TPF/TPF.htm ECP, 2011-2012

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SLIDE 2

CLASSES CONTENTS (1/2)

  • Introduction: CEA/Grenoble, scientific information
  • Two-phase flow systems in industry and nature
  • Flow regime
  • Measuring techniques, composition (α)
  • Simple models for void fraction prediction

Industrial occurrence and flow regimes 1/61

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SLIDE 3

CLASSES CONTENTS (2/2)

  • Balance equations
  • 1D models, pipe flow
  • Pressure drop and friction
  • Heat transfer mechanisms in boiling
  • Condensation of pure vapor
  • Critical flow phenomenon

Recommended textbook: Delhaye (2008)

Industrial occurrence and flow regimes 2/61

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SLIDE 4

THERMAL-HYDRAULICS

  • Study of simultaneous flow and heat transfer, in French, thermohydraulique
  • Phase: state of matter characterized by definite thermodynamic properties
  • Two-phase: mixture of two phases (diphasique)
  • Examples: air and water, oil and water (connate), water and steam,
  • il and natural gas (multiphase), polyphasique).

Industrial occurrence and flow regimes 3/61

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SLIDE 5

CEA/GRENOBLE RESEARCH CENTER

  • CEA: Commissariat `

a l’Energie Atomique (15000 p)

  • CEA/Grenoble: originates in 1956, founded by Louis N´

eel (4000p/2300 CEA)

  • Heat transfer laboratories founded by Henri Mondin
  • Nuclear energy directorate (5000 p, DEN)
  • Department of nuclear technology (400 p, Cadarache, Grenoble, DTN)
  • Department of reactors studies (400 p, Cadarache, Grenoble, DER)
  • Labs of simulation in thermal-hydraulics (SSTH)
  • Labs of experimental studies in thermal-hydraulics (SE2T)
  • Thesis advising capabilities and referenced research groups for several Masters.

Industrial occurrence and flow regimes 4/61

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SLIDE 6

LABS OF SIMULATION AND EXPERIMENTS IN THERMAL-HYDRAULICS

  • Codes (logiciels) for safety studies, CATHARE.
  • 3D Codes for two-phase boiling flows (Neptune).
  • LES of single-phase flow and heat transfer (TRIO-U).
  • Dedicated studies : safety and optimization of NR of various generations II, III

and IV, ship propulsion, cryogenic rocket engines.

  • Analytic studies on boiling flows and critical heat flux (DEBORA)
  • Thermal-hydraulic qualification of fuel bundles (OMEGA)
  • Instrumentation development for single-phase and two-phase flows:

Can only be modeled a quantity which can be measured Applications→models and codes→experimental validation→instrumentation.

Industrial occurrence and flow regimes 5/61

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SLIDE 7

SCIENTIFIC KNOWLEDGE AND INFORMATION

  • How to solve a technical/scientic issue?
  • Textbooks, books, journal papers: Library?.
  • Scientific Societies:

journals editing, conference organizations (proceedings, actes). – La Soci´ et´ e fran¸ caise de l’´ energie nucl´ eaire – La Soci´ et´ e hydrotechnique de France – La Soci´ et´ e fran¸ caise de thermique – American nuclear society, thermal-hydraulics division (NURETH)

  • Do you speak English? ...

Industrial occurrence and flow regimes 6/61

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SLIDE 8

TWO-PHASE SYSTEMS IN INDUSTRY AND NATURE (1/4)

  • Nuclear engineering: sizing, safety, decontamination (cleaning up)

– Loss of coolant accidents (LOCA-APRP). – Severe accidents w/o vessel retention. – Decontamination by using foam. – Nuclear waste reprocessing.

  • Oil engineering, hot issue: two-phase production

– Transport. – Pumping. – Metering. – Oil refining (Chem. Engng).

  • Oil engineering : safety

– Safety of installations. – LPG storage tanks and fire (BLEVE).

Industrial occurrence and flow regimes 7/61

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SLIDE 9

TWO-PHASE SYSTEMS IN INDUSTRY AND NATURE (2/4)

  • Chemical engineering

– Wastewater treatment (interfacial area and residence time). – Gas-liquid reactors (falling film, trickle bed, air-lift). – Mixing and separation. – Safety: homogeneous thermal runaway.

  • Automotive industry

– Diesel fuel atomization. – Combustion in diesel engines. – Cavitation damage : power steering, fuel nozzles.

  • Heat exchangers

– Condensers and evaporator/steam generator. – Boilers (critical heat flux, CHF), heaters.

Industrial occurrence and flow regimes 8/61

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SLIDE 10

TWO-PHASE SYSTEMS IN INDUSTRY AND NATURE (3/4)

  • Hydroelectricity and water distribution

– Water resources management: transients of pipings. – Priming of siphons.

  • Space industry

– Cryogenic fuel storage (Vinci). – Thermal control of rocket engines (combustion chamber and nozzle). – Water hammer and pressure surges. – Cavitation in turbo-pumps. Instability (lateral loading) and damage.

Industrial occurrence and flow regimes 9/61

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SLIDE 11

TWO-PHASE SYSTEMS IN INDUSTRY AND NATURE (4/4)

  • Meteorology

– Storm formation, rain/hail, lightning. – Ocean and atmosphere exchanges, aerosols formation.

  • Volcanology

– Critical flow of lava in wells. – Steam explosion. – Nu´ ees ardentes (Vesuvius, protection of Naples suburbs).

  • Nivology

– Avalanches. – Snow maturation (three-phase / 2-component).

Industrial occurrence and flow regimes 10/61

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SLIDE 12

NUCLEAR REACTORS, WATER COOLED

  • Sizing :

SG: heat transfer and pressure drop. SGTR: critical flow at the safety valve. FSI: mechanical loading and vibrations.

  • Safety :

LOCA, fuel cladding temperature, reference scenario

  • Decontamination :

vessel, SG, minimizings wastes: foam

Industrial occurrence and flow regimes 11/61

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SLIDE 13

NUCLEAR FUEL

  • Fuel pellet.
  • Rod ≈ 10 mm in diameter (first confine-

ment barrier).

  • Fuel assembly 17 × 17.
  • Control rods.
  • Length ≈ 4 meters.
  • Reactor core ≈ 4 m in diameter.
  • Heat transfer: forced convection (7 m/s.)
  • Thermal power 3000 ÷ 5000 MW.

Industrial occurrence and flow regimes 12/61

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SLIDE 14

STEAM GENERATOR

  • Tube-type, separates primary and secondary

circuits (second confining barrier).

  • ≈ 5000 tubes, diameter 50 mm, height 10 m.
  • Pressure: 155-70 bar.
  • 3 or 4 SG and flow loops.
  • Inverted U-Tubes.
  • Secondary : two-phase flow.
  • Issues : heat transfer and vibration damage.

Industrial occurrence and flow regimes 13/61

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SLIDE 15

THE N4 PWR: SOME FIGURES

  • Primary side pressure: 155 bar, Tsat ≈ 355oC. Thermal power: 4250 MW.

– Mass flow rate: 4928,6 kg/s per SG (4) – Core inlet temperature: 292,2oC – Core outlet temperature: 329,6oC

  • Secondary side, SG vapor pressure : 72,3 bar

– Vapor temperature: 288˚ C – Feed water temperature: 229,5oC – Mass flow rate: 601,91 kg/s per SG (4)

  • Assess the thermal balance of reactor and SG

Source: National Institute of Standards and Technology (NIST) (http://webbook.nist.gov/chemistry/fluid/)

Industrial occurrence and flow regimes 14/61

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SLIDE 16

SOME BAD NEWS...

The following (low pressure) statements are rather wrong:

  • The mass balance reads, Q1 = Q2, since water is incompressible,

at least weakly it is dilatable.

  • The enthalpy is, h = CP T.
  • For a liquid, CP ≈ CV , or h ≈ u.
  • Steam is a perfect gas.

Industrial occurrence and flow regimes 15/61

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SLIDE 17

WATER DENSITY AT 155 BAR

650 660 670 680 690 700 710 720 730 740 750 290 295 300 305 310 315 320 325 330 Density (kg/m3) Temperature (°C) Linear approx. ρL, NIST

Industrial occurrence and flow regimes 16/61

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SLIDE 18

MASS BALANCE OF THE PRIMARY CIRCUIT

  • Mass flow rate per loop (CL), ML ≈ 5023 kg/s
  • Inlet density: ρL1(292oC, 155 bar) = 742, 41 kg/s.
  • Outlet density : ρL2(330oC, 155 bar) = 651, 55 kg/s.

Q1 = ML ρ1 = 6, 77m3/s, Q2 = ML ρ2 = 7, 71m3/s

  • Volumetric flow rates differ by 13%.
  • The volume of the primary circuit is 400 m3...

Industrial occurrence and flow regimes 17/61

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SLIDE 19

WATER ENTHALPY AT 155 BAR

1250 1300 1350 1400 1450 1500 1550 290 295 300 305 310 315 320 325 330 Enthalpy (kJ/kg) Temperature (°C) Linear approx. h, NIST

Industrial occurrence and flow regimes 18/61

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SLIDE 20

PRIMARY SIDE HEAT BALANCE

  • Mass flow rate per loop (CL), ML ≈ 5023 kg/s.
  • Inlet enthalpy: hL1(292oC, 155bar) = 1295 kJ/kg.
  • Outlet enthalpy: hL2(330oC, 155 bar) = 1517 kJ/kg.

P = ML∆h ≈ 5023 × 222 103 = 1115 MW

  • 4-loop reactor power: 4460 MW.
  • Linear approximation: h = CP T, CP (292oC, 155bar) = 5, 2827 kJ/kg/K.

P = MLCP ∆T ≈ 5023 × 201 103 = 1008 MW

  • Power differs by 10%.
  • Temperature drift: 31oC/hour.

Industrial occurrence and flow regimes 19/61

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SLIDE 21

WATER ENTHALPY & INTERNAL ENERGY AT 155 BAR

2 3 4 5 6 7 290 295 300 305 310 315 320 325 330 1250 1300 1350 1400 1450 1500 1550 Heat capacity (kJ/kg/K) Enthalpy, Internal energy (kg/m3) Temperature (°C) CP, NIST CV, NIST u, NIST h, NIST

Industrial occurrence and flow regimes 20/61

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SLIDE 22

PHASE CHANGE & METASTABLE STATES

  • Phase rule: thermodynamic equilibrium of steam and vapor, temperature

and pressure are linked, saturation states v = n + 2 − ϕ = 1, p = psat(T), or T = Tsat(p)

  • Phase coexistence pressure, resp. temperature
  • Liquid only is thermodynamically stable above Tsat(p).
  • Vapor only is thermodynamically stable below Tsat(p).
  • Water must boil and comply with the second principle of thermodynamics
  • Within the metastability T range, the fluid can be either two-phase or

single-phase.

  • Metastable states usually not in tables, EOS is needed.

Industrial occurrence and flow regimes 21/61

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SLIDE 23

WATER ENTHALPY AT 1 BAR

500 1000 1500 2000 2500 3000 3500 50 100 150 200 250 300 350 Enthalpy (kJ/kg) Temperature (°C), Tsat = 99.61°C hL, EOS−NIST hV, EOS−NIST h, NIST Tables

Maximum liquid superheat, metastability limit >230 K

Industrial occurrence and flow regimes 22/61

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SLIDE 24

WATER ENTHALPY AT 72 BAR

500 1000 1500 2000 2500 3000 3500 220 240 260 280 300 320 340 360 Enthalpy (kJ/kg) Temperature (°C), Tsat = 287.74°C hL, EOS−NIST hV, EOS−NIST h, NIST Tables

Industrial occurrence and flow regimes 23/61

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SLIDE 25

SECONDARY SIDE HEAT BALANCE

  • Mass flow rate per SG, ML ≈ 602 kg/s
  • Inlet enthalpy: hL1(230oC, 72 bar) = 991.1 kJ/kg.
  • Outlet enthalpy: hV 2(288oC, 72 bar) = 2771 kJ/kg.

P = ML∆h ≈ 602 × 1780 103 = 1071 MW

  • To be compared to 1115 MW on the primary side.

Industrial occurrence and flow regimes 24/61

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SLIDE 26

STEAM IS A PERFECT GAS

  • Steam density at 100oC, 1 bar, ρV = 0, 5897 kg/m3.
  • Perfect gas approximation: pV = RT, R = 8.316 J/mol/K, M = 18 g/mol.

V = RT p = 3.103 10−2 m3, ρ = M V = 0.5801 kg/m3.

  • Steam at 288oC, 72 bar, ρV = 37.64 kg/m3.
  • Perfect gas : pV = RT, R = 8.316 J/mol/K, M = 18 g/mol.

V = RT p = 6.481 10−4 m3, ρ = M V = 27.77 kg/m3 .

  • Perfect gas approximation under-estimate by 26%.

Industrial occurrence and flow regimes 25/61

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SLIDE 27

TWO-PHASE FLOW VARIABLES

  • Phase presence function
  • Space averaging operators
  • Instantaneous flow rates
  • Time averaging operators
  • Some mathematical properties
  • Averaged flow rate and superficial velocity

Industrial occurrence and flow regimes 26/61

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SLIDE 28

PHASE PRESENCE FUNCTION

  • Xk(r, t) =

   1 if x ∈ phase k if x / ∈ phase k Measurable variable,

  • Resistive probe (electrical impedance)
  • Optical probe (refraction index)
  • Thermal anemometry (heat transfer)

Subscripts : k = 1, 2, k = L, G, k = f, v etc.

Industrial occurrence and flow regimes 27/61

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SLIDE 29

SPACE AVERAGING (1/3)

  • Space averaging operator (plain space average)

< | f> | n 1 Dn

  • Dn

f dDn

  • n=1, line (chord in a pipe)
  • n=2, surface (cross section)
  • n=3, volume (some length of a pipe)

Industrial occurrence and flow regimes 28/61

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SLIDE 30

SPACE AVERAGING (2/3)

  • Phase presence conditional average,

< fk >n 1 Dkn

  • Dkn

fk dDkn

  • n=1, line
  • n=2, surface (shown here)
  • n=3, volume

Industrial occurrence and flow regimes 29/61

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SLIDE 31

SPACE AVERAGING (3/3)

  • Instantaneous phase fraction

Rkn(t) < | Xk(r, t)> | n = Dkn Dn

  • n=1, line fraction,

Lk L1 + L2

  • n=2, surface fraction,

Ak A1 + A2

  • n=3, volume fraction,

Vk V1 + V2 Identity (proof left as an exercise) Rkn < f >kn= < | Xkf> | n

Industrial occurrence and flow regimes 30/61

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SLIDE 32

FLOW RATE AND MASS FLOW RATE

  • Instantaneous flow rate (m3/s), wk = vk nz

Qk(t)

  • Ak

wk dAk = Ak < wk >2

  • Instantaneous mass flow rate (kg/s)

Mk(t)

  • Ak

ρkwk dAk = Ak < ρkwk >2

Industrial occurrence and flow regimes 31/61

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SLIDE 33

TIME AVERAGING

  • Time averaging on [T], (plain)

f(t) 1 T t+T/2

t−T/2

f(τ) dτ Conditional time averaging, [Tk] f

X k (t) 1

Tk

  • [Tk]

fk(τ) dτ Local time fraction, void fraction for gas/vapor αk(r, t) Tk T = Xk(r, t) Identity, derives from the definitions, αkf

X = Xkf

Industrial occurrence and flow regimes 32/61

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SLIDE 34

COMMUTATIVITY OF AVERAGING OPERATORS

Rkn < fk >n = < | αkfk

X>

| n Proof, from definitions: Rkn < fk >n = 1 T

  • [T ]
  • Rkn

Dkn

  • Dkn(t)

fk dDkn

  • dt

1 T

  • [T ]

dt 1 Dn

  • Dn

Xkfk dDn = 1 Dn

  • Dn

dDn 1 T

  • [T ]

Xkfk dt 1 Dn

  • Dn
  • αk(r)

Tk

  • [Tk]

fk dt

  • dDn = <

| αkfk

X>

| n Significant example: mean void fraction, fk = 1, salami theorem... Rkn = < | αk> | n

Industrial occurrence and flow regimes 33/61

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SLIDE 35

MEAN FLOW RATES

  • Mean volume flow rate,

Qk = ARk2 < wk >2 = A< | αkwX

k >

| 2

  • Mean mass flow rate,

Mk = ARk2 < ρkwk >2 = A< | αkρkwX

k >

| 2

Industrial occurrence and flow regimes 34/61

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SLIDE 36

SUPERFICIAL VELOCITY

  • Mean volumetric flux,

jk Xkwk ≡ αkwX

k

  • Mean mass flux,

gk Xkρkwk ≡ αkρkwX

k

  • Superficial velocity (vitesse d´

ebitante), Jk = < | jk> | 2 = < | αkwX

k >

| 2 = Qk A

  • Mixture superficial velocity,

J = J1 + J2 = Q1 + Q2 A

Industrial occurrence and flow regimes 35/61

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SLIDE 37

QUALITY

  • Mean mass flux,

Gk < | gk> | 2 = < | αkρkwX

k >

| 2 = Mk A

  • Mixture mean mass flux,

G = G1 + G2 = M1 + M2 A

  • Quality, (titre massique),

xk = Mk M , M = M1 + M2

  • Volume quality,

βk = Qk Q , Q = Q1 + Q2

  • Equilibrium (steam) quality...

Industrial occurrence and flow regimes 36/61

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SLIDE 38

WATER THERMODYNAMIC DIAGRAM (ρ, p)

50 100 150 200 250 300 100 200 300 400 500 600 700 800 900 1000 Pressure (bar) Density (kg/m3) 400, °C 380, °C 370, °C 350, °C 300, °C 200, °C

  • Sat. ρL
  • Sat. ρV

Critical pressure and temperature : ≈ 221 bar, 373,9oC.

Industrial occurrence and flow regimes 37/61

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SLIDE 39

STEAM TABLES AND EOS (v, p)

50 100 150 200 250 300 0.005 0.01 0.015 0.02 0.025 0.03 Pressure (bar) Specific volume (m3/kg) T=400 °C T=380 °C T=370 °C T=350 °C T=300 °C T=200 °C

  • Sat. Liq
  • Sat. Vap

Industrial occurrence and flow regimes 38/61

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SLIDE 40

STEAM TABLES AND EOS (ρ, p)

50 100 150 200 250 300 200 400 600 800 1000 Pressure (bar) Density (kg/m3) T=400 °C T=380 °C T=370 °C T=350 °C T=300 °C T=200 °C

  • Sat. Liq
  • Sat. Vap

Industrial occurrence and flow regimes 39/61

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SLIDE 41

EQUILIBRIUM QUALITY

  • The thermodynamic equilibrium assumption,

TL = TV = Tsat(p), hk(Tk, p) = hk(Tsat(p), p) hksat(p)

  • 1D model assumption, flat profiles (hk(r) =< kk >2),
  • Energy balance, q, uniform heat flux distribution

P = πqDz = M[h(z) − h1] = M[(xeqhV sat + (1 − xeq)hLsat) − hL1)] xeq = hL1 − hLsat hlv + πqDz Mhlv

  • Phase change enthalpy : hlv hV sat − hLsat
  • Equilibrium quality varies linearly with position.
  • h is the mean enthalpy (energy balance), non dimensional enthalpy,

xeq = h − hLsat hlv

Industrial occurrence and flow regimes 40/61

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SLIDE 42

FLOW REGIMES

  • Topological phase organisation in flows,

– Bubbles, bulles – Plugs and slugs, poches et bouchons – Liquid films, drops and droplets – No sharp transitions

  • Modeling is the motivation for identification of flow regimes

– Single-phase flows: laminar-turbulent (NS or RANS) – Two-phase flows: structures of interfaces → model. – Shortcomings: fully developed flows, fuzzy transitions, hydrodynamic singularities.

  • Control variables: flow rates, slope, direction, diameter, transport proper-

ties, inlet conditions etc.

  • Examples: vertical and horizontal co-current flows.

Industrial occurrence and flow regimes 41/61

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SLIDE 43

VERTICAL ASCENDING FLOWS

Flow regime transitions:

  • Experiments, empirical,

flow rates, momentum fluxes.

  • Transition modeling,

mechanisms, (Dukler & Taitel, 1986).

Industrial occurrence and flow regimes 42/61

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SLIDE 44

TAITEL ET DUKLER (1980) MODEL

Vertical ascending air-water flow, D = 50 mm, P = 1 bar. Flow regimes:

  • A-B: Bubbly (bulles)
  • A-D:Intermittent (poches,

bouchons)

  • D-E: Churn (agit´

e)

  • E: Annular
  • B-C: Dispersed bubbles

Industrial occurrence and flow regimes 43/61

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SLIDE 45

TAITEL ET DUKLER (1980) MODEL

  • Bubbly flow and intermittent (A): Bubble coalescence, zig-zag motion of bubbles.

JL = 1 − α α JG − (1 − α)

3 2 U0∞,

αT = 0, 25, U0∞ = 1, 53 g(ρL − ρG)σ ρ2

L

1

4

  • Dispersed bubbles and bubbly : turbulent break up, small bubbles, rectilinear path (B),

dense packing (A) with αT = 0, 52 (D). 2[ρL/(ρL − ρG)g]0,5ν0,08

L

(σ/ρL)0,10D0,48 J1,12 3, 0

  • Intermittent and churn (D): churn flow ≡ development of slug flow.

L D = 42, 6

  • J

√gD + 0, 29

  • Industrial occurrence and flow regimes

44/61

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SLIDE 46

TAITEL ET DUKLER (1980) MODEL

  • Annular (E): all liquid entrained by the gas, force balance,

1 2

G

[σg(ρL − ρG)]

1 2 = 3, 1

See also flooding correlations & Ku.

  • Small diameter pipes: bubbles (zig-zag) and occasionally Taylor bubbles.

– Taylor bubbles relative velocity: UT = 0, 35√gD – individual bubbles: UB = U0 inf(1 − α)

1 2

– In small diameter pipes, Taylor bubbles are slower than individual bubbles to coalescence towards slugs.

  • ρ2

LdD2

(ρL − ρG)σ 1

4

3, 78 – Bubbly flow no longer exists.

Industrial occurrence and flow regimes 45/61

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SLIDE 47

TAITEL ET DUKLER (1980) MODEL

Air water, D = 25 mm, P = 1 bar. Small diameter pipes: no bubbly flow.

Industrial occurrence and flow regimes 46/61

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SLIDE 48

APPLICATIONS : VertTD02

0.01 0.1 1 10 0.1 1 10 100 JL (m/s) JG (m/s) Bulles−Intermittent Bulles dispersées−Intermittent Bulles dispersées−Bulles Intermittent−Agité L/D=50 Intermittent−Annulaire Intermittent−Agité L/D=100 Intermittent−Agité L/D=200 Intermittent−Agité L/D=500 0.01 0.1 1 10 0.1 1 10 100 JL (m/s) JG (m/s) Bulles−Intermittent Bulles dispersées−Intermittent Bulles dispersées−Bulles Intermittent−Agité Intermittent−Annulaire

Air-water, 51 mm, 1 bar Air-water, 25 mm, L/D = 100, 1 bar

Industrial occurrence and flow regimes 47/61

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SLIDE 49

FLOW PATTERNS IN HORIZONTAL FLOW

Main flow regimes:

  • Bubbly
  • Plug
  • Stratified, smooth or wavy
  • Slug of gas and plugs of liq-

uid

  • Annular

Modeling the transition based

  • n mechanisms (Dukler & Tai-

tel, 1986).

Industrial occurrence and flow regimes 48/61

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SLIDE 50

FLOW PATTERN IN HORIZONTAL FLOW

Industrial occurrence and flow regimes 49/61

slide-51
SLIDE 51

HORIZONTAL SLUG FLOW

α = 22%

Industrial occurrence and flow regimes 50/61

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SLIDE 52

DUKLER AND TAITEL (1976) MODEL

Transition criteria:

  • Empirical, e.g.: Mandhane,

air-water, 25 mm, 1 bar.

  • Mechanistic modeling of

transition (Dukler & Taitel, 1986).

Industrial occurrence and flow regimes 51/61

slide-53
SLIDE 53

TAITEL AND DUKLER (1976) MODEL

  • Stability of stratified flow, linear stability analysis

(back later on, see also exercises)

  • The Kelvin-Helmholtz instability,

VG C2

  • (ρL − ρG) cos βAG

ρG

dAL dh

1

2

, C2 ≈ 1 − h D

  • Base flow: smooth an horizontal interface

τG SG AG −τL SL AL +τi Si AL + Si AG

  • +(ρL−ρG)g sin β = 0

X2f(A, D, AL, PL, DL)−g(A, D, AG, PG, DG, Pi)−4Y = X2 =

1 2CLρLJ2 LRe−n LS 1 2CGρGJ2 GRe−n GS

=

  • (dP/dz)LS

(dP/dz)GS

  • .

Y = (ρL − ρG)g sin β

4 D 1 2ρGJ2 GCGRe−m G

Industrial occurrence and flow regimes 52/61

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SLIDE 54

TAITEL AND DUKLER (1976) MODEL

0.2 0.4 0.6 0.8 1 0.001 0.01 0.1 1 10 100 1000 h/D X Y positif −5<Y<−3 Y<−10 Y=0 Industrial occurrence and flow regimes 53/61

slide-55
SLIDE 55

TAITEL AND DUKLER (1976) MODEL

  • Transition, stratified flow instability:

F 2

  • 1

C2

2

˜ U 2

G d ˜ AG d˜ h

˜ AG

  • 1,

˜ UG = A AG , F =

  • ρG

ρG − ρL 1

2

JG (Dg cos β) 1

2

  • Towards intermittent flow:

h D 0, 5

  • Towards annular flow:

h D 0, 5

  • Stratified smooth or wavy ?:

UG 4νL(ρL − ρG)g cos β sρGUL 1

2

, K 2 ˜ UG

  • s ˜

UL , K2 =

  • ρGJ2

G

(ρL − ρG)Dg cos β DJL νL

  • Dispersed bubbles:

UL 4AG Si g cos β fL

  • 1 − ρG

ρL 1

2

, T 2 8 ˜ AG ˜ Si ˜ U 2

L( ˜

UL ˜ DL)−n , T =  

  • dp

dz

  • LS

(ρL − ρG)g cos β  

1 2

Industrial occurrence and flow regimes 54/61

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SLIDE 56

TAITEL AND DUKLER (1976) MODEL

Curves 1 et 2 3 4 Coordinates F, X K, X T, X K =

  • ρGJ2

G

(ρL−ρG)Dg cos β

1

2

DJL νL

1

2

F =

  • ρG

ρG−ρL

1

2

JG (Dg cos β)

1 2

T =

  • | dp

dz|LS

(ρL−ρG)g cos β

1

2

X =

  • (dP/dz)LS

(dP/dz)GS

  • 1

2

  • dp

dz

  • S

= 4C D Re−n ρJ2 2 , Re = JD ν

  • Laminar: C = 16, n = 1. Turbulent: C = 0, 046, n = 0, 2
  • β: slope angle, β = 0, horizontal flow, β > 0, descending flows.

Industrial occurrence and flow regimes 55/61

slide-57
SLIDE 57

APPLICATIONS : HoriTD03

0.01 0.1 1 10 0.1 1 10 100 JL (m/s) JG (m/s) D=12.5 mm D=50 mm D=300 mm 0.01 0.1 1 10 0.1 1 10 100 JL (m/s) JG (m/s) α=1° α=5°

Air-Water, 50 mm, 1 bar, β = 0 Air-water, 50 mm, 1 bar

Industrial occurrence and flow regimes 56/61

slide-58
SLIDE 58

FLOODING AND FLOW REVERSAL

Flooding: transition from counter-current towards co-current up flow. Flow reversal: reverse transition

Industrial occurrence and flow regimes 57/61

slide-59
SLIDE 59

EXPERIMENTAL DETERMINATION OF FLOODING

Modeling of flooding and flow reversal see also Bankoff & Chun Lee (1986).

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slide-60
SLIDE 60

WALLIS MODEL

J∗

k ≈ Froude number.

J∗

G =

JGρ

1 2

G

(gD(ρL − ρG))

1 2 ,

J∗

L =

JLρ

1 2

L

(gD(ρL − ρG))

1 2 ,

J

∗ 1

2

G + mJ ∗ 1

2

L

= C m and C depend on NL =

  • ρLgD3(ρL−ρG)

µ2

L

1

2 ≡ Gr

NL > 1000        m = 1 0, 88 < C < 1 (smooth inlet) C = 0, 725 (sharp inlet) , NL < 1000    m = 5, 6N −1/2

L

C = 0, 725

Industrial occurrence and flow regimes 59/61

slide-61
SLIDE 61

FLOODING ET FLOW REVERSAL

  • Wallis model: no pipe length effect.

– Some experiments show J∗

G increase with the increase of L. Favors the

wave instability mechanism. – Many specific correlations.

  • Flow reversal

– Wallis model, J∗

G(FR) = J∗ G(Flooding), hysteresis effect, pipe diameter

effect. J∗

G =

JGρ

1 2

G

(gd(ρL − ρG))

1 2 = 0, 5

– Puskina and Sorokin model, Ku = JGρ

1 2

G

(gσ(ρL − ρG))

1 4 = 3, 2

  • Control mechanisms: still an open problem.

Industrial occurrence and flow regimes 60/61

slide-62
SLIDE 62

REFERENCES Bankoff, S. G., & Chun Lee, Sang. 1986. Multiphase Science and Technolgy. Vol. 2.

  • Hemisphere. Chap. 2-A critical review of the flooding literature, pages 95–180.

Delhaye, J.-M. 2008. Thermohydraulique des r´ eacteurs nucl´

  • eaires. Collection g´

enie

  • atomique. EDP Sciences.

Dukler, A. E., & Taitel, Y. 1986. Multiphase Science and Technolgy. Vol. 2. Hemi-

  • sphere. Chap. 1-Flow pattern transitions in gas-liquid systems: measurement and

modelling, pages 1–94.

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