CFD MODELING OF TRICKLE BED REACTORS: Hydro-processing Reactor

Similar documents
BASIC DESIGN EQUATIONS FOR MULTIPHASE REACTORS

Convective Mass Transfer

ENGG 199 Reacting Flows Spring Lecture 4 Gas-Liquid Mixing Reactor Selection Agitator Design

PRESENTATION SLIDES: Hydrodynamic Scale-Up of Circulating Fluidized Beds

Chemical Reaction Engineering

Chemical Reaction Engineering - Part 16 - more reactors Richard K. Herz,

Trickle Flow Liquid-Solid Mass Transfer and Wetting Efficiency in Small Diameter Columns

A First Course on Kinetics and Reaction Engineering Unit D and 3-D Tubular Reactor Models

Mahmood Bazmi*, Seyed Hassan Hashemabadi*,, and Mahmood Bayat**

Heat Transfer Convection

Reaction and Diffusion in a Porous Catalyst Pellet. by Richard K. Herz

Studies on flow through and around a porous permeable sphere: II. Heat Transfer

Engineering and. Tapio Salmi Abo Akademi Abo-Turku, Finland. Jyri-Pekka Mikkola. Umea University, Umea, Sweden. Johan Warna.

SIMULATION OF FLOW IN A RADIAL FLOW FIXED BED REACTOR (RFBR)

Inter-particle force and stress models for wet and dry particulate flow at the intermediate flow regime

A First Course on Kinetics and Reaction Engineering Unit 12. Performing Kinetics Experiments

WASHINGTON UNIVERSITY

DEVELOPMENT OF A NUMERICAL APPROACH FOR SIMULATION OF SAND BLOWING AND CORE FORMATION

FE Fluids Review March 23, 2012 Steve Burian (Civil & Environmental Engineering)

Mass Transfer Operations

Table of Contents. Preface... xiii

AGITATION AND AERATION

Laminar Flow. Chapter ZERO PRESSURE GRADIENT

Multi-Fidelity Computational Flow Assurance for Design and Development of Subsea Systems and Equipment Simon Lo

Figure 3: Problem 7. (a) 0.9 m (b) 1.8 m (c) 2.7 m (d) 3.6 m

Principles of Convection

Minimum fluidization velocity, bubble behaviour and pressure drop in fluidized beds with a range of particle sizes

CFD SIMULATION OF SOLID-LIQUID STIRRED TANKS

Solid liquid mass transfer in a fixed bed reactor operating in induced pulsing flow regime.

AIRLIFT BIOREACTORS. contents

Fluid Mechanics Theory I

CFD modelling of multiphase flows

Modelling of Break-up and Coalescence in Bubbly Two-Phase Flows

Prediction of Minimum Fluidisation Velocity Using a CFD-PBM Coupled Model in an Industrial Gas Phase Polymerisation Reactor

Nirma University Institute of Technology Chemical Engineering Department, Handouts -RRP- CRE-II. Handouts

Hydrodynamics Of Trickle Bed Reactors: Measurements And Modeling

Heterogeneous Catalysis and Catalytic Processes Prof. K. K. Pant Department of Chemical Engineering Indian Institute of Technology, Delhi

Shear stress and shear rates for µ-slides y-shaped based on Computational Fluid Dynamics (CFD)

A NUMERICAL APPROACH FOR ESTIMATING THE ENTROPY GENERATION IN FLAT HEAT PIPES

IHTC DRAFT MEASUREMENT OF LIQUID FILM THICKNESS IN MICRO TUBE ANNULAR FLOW

MATHEMATICAL MODELING OF A THREE- PHASE TRICKLE BED REACTOR

Polymers Reactions and Polymers Production (3 rd cycle)

ESO201A: Thermodynamics

Residence time distribution and dispersion of gas phase in a wet gas scrubbing system

Supporting Information

Part 1 Principles of the Fluid Dynamic Design of Packed Columns for Gas/Liquid Systems

Chemical Reaction Engineering Prof. Jayant Modak Department of Chemical Engineering Indian Institute of Science, Bangalore

CHAPTER 7 NUMERICAL MODELLING OF A SPIRAL HEAT EXCHANGER USING CFD TECHNIQUE

CFD-DEM SIMULATION OF SYNGAS-TO-METHANE PROCESS IN A FLUIDIZED-BED REACTOR

PREDICTION OF MASS FLOW RATE AND PRESSURE DROP IN THE COOLANT CHANNEL OF THE TRIGA 2000 REACTOR CORE

Experimental and Theoretical Investigation of Hydrodynamics Characteristics and Heat Transfer for Newtonian and Non-newtonian Fluids

MODELLING OF GAS-SOLID FLOWS IN FCC RISER REACTORS: FULLY DEVELOPED FLOW

Piping Systems and Flow Analysis (Chapter 3)

Forced Convection: Inside Pipe HANNA ILYANI ZULHAIMI

Analysis of Heat Transfer in Pipe with Twisted Tape Inserts

Engineering Theory of Leaching

Adsorption (Ch 12) - mass transfer to an interface

INTRODUCTION TO CATALYTIC COMBUSTION

Scale-up problems are often perceived as difficult. Here the reaction calorimetry has proven to be

Fibrous structured catalytic beds for three-phase reaction engineering Hydrodynamics study in staged bubble columns

Outlines. simple relations of fluid dynamics Boundary layer analysis. Important for basic understanding of convection heat transfer

Performance Analysis of a Two phase Non-isothermal PEM Fuel Cell

Modeling of a Fluid Catalytic Cracking (FCC) Riser Reactor

CFD ANALYSIS OF TURBULENCE EFFECT ON REACTION IN STIRRED TANK REACTORS

Riser Reactor Simulation in a Fluid Catalytic Cracking Unit

PHEN 612 SPRING 2008 WEEK 12 LAURENT SIMON

1. Starting of a project and entering of basic initial data.

Simulation of Particulate Solids Processing Using Discrete Element Method Oleh Baran

CFD Simulation of Turbulent Flow Structure in Stratified Gas/Liquid Flow and Validation with Experimental Data

Modeling of Humidification in Comsol Multiphysics 4.4

CHAPTER 3 MODELLING AND ANALYSIS OF THE PACKED COLUMN

MODULE 3: MASS TRANSFER COEFFICIENTS

Numerical Simulation of a Gas Liquid Flow in a Fixed Bed

CFD Flow and Heat Transfer Simulation for Empty and Packed Fixed Bed Reactor in Catalytic Cracking of Naphtha

INTRODUCTION TO CHEMICAL PROCESS SIMULATORS

TABLE OF CONTENT. Chapter 4 Multiple Reaction Systems 61 Parallel Reactions 61 Quantitative Treatment of Product Distribution 63 Series Reactions 65

Modelling multiphase flows in the Chemical and Process Industry

CFD SIMULATIONS OF FLOW, HEAT AND MASS TRANSFER IN THIN-FILM EVAPORATOR

Pressure Distribution of Refrigerant Flow in an Adiabatic Capillary Tube

Thermodynamics and Rate Processes. D.Kunzru Dept. of Chemical Engineering I.I.T.Kanpur

Chemical Reactor flnolysis

ENTHALPY BALANCES WITH CHEMICAL REACTION

International Journal of Scientific & Engineering Research, Volume 6, Issue 5, May ISSN

PLO MIXING AND RTD IN TANKS: RADIOTRACER EXPERIMENTS AND CFD SIMULATIONS

Applications of Computational Fluid Dynamics in the Process Industries. Ahmad Haidari & Peter Spicka Fluent Inc.

LIQUID FILM THICKNESS OF OSCILLATING FLOW IN A MICRO TUBE

Introduction to nomenclature. Two-phase flow regimes in vertical tubes. Forced convective boiling: Regions of boiling and flow

COMSOL Multiphysics Simulation of 3D Single- hase Transport in a Random Packed Bed of Spheres

Study on residence time distribution of CSTR using CFD

MOMENTUM TRANSPORT Velocity Distributions in Turbulent Flow

Effect of roughness shape on heat transfer and flow friction characteristics of solar air heater with roughened absorber plate

Lecture (9) Reactor Sizing. Figure (1). Information needed to predict what a reactor can do.

Three-Dimensional Simulation of Mixing Flow in a Porous Medium with Heat and Mass Transfer in a Moisture Recovery System

Capillary Blocking in Forced Convective Condensation in Horizontal Miniature Channels

Investigation of Flow Profile in Open Channels using CFD

5. Diffusion/Reaction Application

NPTEL. Chemical Reaction Engineering II - Video course. Chemical Engineering. COURSE OUTLINE

WASHINGTON UNIVERSITY SEVER INSTITUTE OF TECHNOLOGY DEPARTMENT OF CHEMICAL ENGINEERING

A drop forms when liquid is forced out of a small tube. The shape of the drop is determined by a balance of pressure, gravity, and surface tension

Application of Discrete Element Method to Study Mechanical Behaviors of Ceramic Breeder Pebble Beds. Zhiyong An, Alice Ying, and Mohamed Abdou UCLA

Transcription:

CFD MODEIN OF TRICKE BED REACTORS: Hydro-processing Reactor Prashant R. unjal, Amit Arora and Vivek V. Ranade Industrial Flow Modeling roup National Chemical aboratory Pune 48 Email: vvranade@ifmg.ncl.res.in

OUTINE Trickle Bed Reactors Applications/ flow regimes Experiments Inter-phase momentum exchange/ capillary terms Estimation of fraction of liquid suspended in gas phase Simulating Hydro-processing Reactor Reaction kinetics/ other sub-models Influence of reactor scale Concluding Remarks

TRICKE BED REACTORS Wide Applications Hydro-de-sulfurization Hydro-cracking/ hydro-treating Hydrogenation/ oxidation Waste water treatment Key Characteristics Close to plug flow/ ow liquid hold-up Suitable for slow reactions Poor heat transfer/ possibility of mal-distribution Difficult scale-up

TRICKE BED REACTORS iquid as as & iquid Flow through Void Space = 6-48 %

FUID DYNAMICS OF TBR Characterization of Packed Bed Wetting of Solid Surface by iquid, P, α, η, RTD Mal-distribution, Channeling & Mixing Flow Regimes & lobal Flow Characteristics

FOW REIMES

EXPERIMENTS AT NC Pressure Indicator Data Acquisition Column with 3mm or 6mm lass Beads Hydrodynamics Pressure Drop iquid Hold-up Conductivity Probes Residence Time Distribution iquid Distribution at Inlet Uniform Non-uniform From Compressor Separator Conductivity Probe Pump iquid Tank Experimental Parameters Bed Diameter:. &. m Particle Diameter: 3 & 6 mm iquid Velocity: < 4 mm/ s as Velocity: <.5 m/ s Tracer : NaCl

TYPICA PRESSURE DROP DATA 35 Pressure gradient, KPa/m 3 5 5 5 Trickle flow regime Pulse flow regime 3 iquid Flow Rate, Kg/m s

PUBISHED EXPERIMENTA DATA Superficial as Velocity Vg, (m/s).8.6.4..8.6.4. 3 Spray Flow φ β φ =? Trickle Flow Pulse Flow φ =?. Szady and Sundersan (99). Rao et. al (983) 3. Specchia and Baldi (977) φ =β Bubbly Flow 5 5 5 iquid Velocity V, (Kg/m s)

MODEIN OF MACROSCOPIC FOW Bed Porosity: Scale of Scrutiny Bed diameter/ length: overall Intermediate scale: aussian distribution Smaller than particle diameter: Bi-modal distribution Approach Used: Experimentally measured or estimated radial variation of axially averaged bed porosity Specify porosity by drawing a sample assuming aussian distribution with specified variance

CHARACTERIZATION OF PACKED BED Radial Variation of Porosity: Mueller (99) a a b r () r * = B = 8.43 - = 7.383 - + ( = r/d and ( D/d 3.56) ( D/d 9.864) J )J.98 P.93 P P o B.74 =.34 - D/d is o (ar zero * )e th br for.6 D/d for 3. D/d 3. order Bessel Function P P

CHARACTERIZATION OF PACKED BED Mueller s Correlation Three data sets from literature Our experiments.8.7.7.6 Szady and Sundersan (99) Rao et.al. (983) Spacchia and Baldi (977).6.5 D=.94m, dp=3mm D=.94m, dp=6mm Porosity.5.4.3. Porosity.4.3.....4.6.8 Dimensionless Radius..4.6.8 Dimensionless Radius

VARIATION OF BED POROSITY.56 With std dev= With std dev=5% With std dev=% r/r.7 Selection of appropriate value is not straight forward: RTD may help

CFD MODE Multi-fluid Model (Eulerian-Eulerian) Continuity Equation = + K K K K K U t Momentum Balance Equation ( ) ( ) R k R K K K K K K K K K K K K U U F g U P U U t U + + + = +, ) ( ) ( µ

CFD MODE Inter-phase Coupling Terms (Attou & Ferschneider, ) ( ) + =.333.667 ) ( ) ( ) ( ) ( p P p d U U E d E F µ + =.333.667 ) ( ) ( ) ( ) ( S p P S p S d U E d E F µ + = p S P p s S d U E d E F µ

CFD MODE Capillary Terms Attou and Ferschneider () = d d P P σ = P F d P P σ.546.333 ( ) + = s s / s p F z z d. σ z P z P 3 5 46 3

CFD MODE Capillary Terms Extent of Wetting, f (Jiang et al., ) Scalar Transport i i m i K K i K K K i K K S C D C U t C + = + ) (. c P f P P ) = (.5 88. < + = for F

SIMUATED RESUTS Distributions within the bed Contours of iquid Hold-up 45 4 35 3 5 5 5 Non-prewetted Bed Prewetted Bed..4.6.8. Velocity M agnitude, m/sec 35 Non-prewetted Bed 3 Prewetted Bed 5 Pre-wetted Un-wetted V = 6 mm/ s, V =. m/ s, D=.4 m, d P = 3 mm, σ=5% 5 5...3 iquid Holdup

SIMUATED RESUTS Column Diameter =.4 m Particle Diameter = 3 mm, V =. m/ s

SIMUATED RESUTS V =. m /s, D =.4 m V =. m /s, D =.94 m

AS-IQUID FOW IN TBR Estimation of Frictional Pressure Drop & Fraction of iquid Supported by as Simulate at two values of g (9.7, 9.9 m/s ) g g P g P g P f = ( ) g g P P = φ Fraction of iquid Hold-up Supported by as Phase < Solid iquid as ( ) f β φ φ = Q g P P

SIMUATED RESUTS Pressure radient KPa/m 4 8 6 4 Saez and Corbonell (985)-Exp. data Szady and Sundersan (99)-Increase in liquid Szady and Sundersan (99)-decrease in liquid CFD Simulations w ithout Capillary Force CFD Simulations...4.6.8. iquid Flow Rate x -, Kg/m s Can Predict Total and Supported iquid Volume Fraction iquid Saturation and.6.5.4.3.. Calibrate Model Parameters from P Holub et. al. (993) -Experimental data Szady and Sundersan (99)-Exp. Data CFD Results Supported iquid Saturation....4.6.8. iquid Flow Rate x -, kg/m s Operating conditions:v =.m/s, D/dp =55, dp=3mm, Std. Dev.=5%, E =5, E =.75

SIMUATED RESUTS 5 Pressure Drop, (KPa/m) 4 3 CFD Results Experimental Data..4.6.8 as Flow Rate, (Kg/ms) As gas velocity increases, more & more liquid is supported by gas Data of Spachio & Baldi (977) iquid Saturation and.5.4.3.. iquid Saturation- CFD Results Supported iquid Saturation iquid Saturation- Exp. Data..4.6.8 as Mass Velocity, kg/ms Operating conditions: V =.8x -3 m/s, dp=3mm, D/dp=3, Std. Dev.=5%, E =5, E =3

SIMUATED RESUTS Pressure Drop, (KPa/m) 6 8 4 Experimental Data CFD Results Data of Rao et al. (983) 4 6 8 as Mass Velocity, (kg/ms) As gas velocity increases, more & more liquid is supported by gas iquid Saturation and..6..8.4 iquid Saturation- CFD Results Supported iquid Saturation iquid Saturation Exp. Data 4 6 8 as mass velocity, Kg/ms Operating conditions:v =x -3 m/s, D/dp =5.4, dp=3mm, Std. Dev.=5%, E =5, E =3.4

RESIDENCE TIME DISTRIBUTION.. Pre-wetted Bed Non Pre-wetted Bed E(t), sec -.8.6 Simulation Results Experimental Results.4. 4 6 8 Time, (sec) Operating conditions: V =.6x -3 m/s V =.m/s, D/dp =8, dp=6mm, Std. Dev.=5%, E =8, E =.75

MODEIN OF HYDRO-PROCESSIN REACTOR Reaction and Kinetics (Chowdhury et al. ) Hydro-desulfurisation (HDS) Ar S + H Ar + HS r HDS = k + c K.56,H Ad c c.6,s,h S De-aromatisation of Mono-, Di- and Poly- Aromatics Mono Ar + 3H Napthenes r = k C + k Mono Mono Mono _Mono C Naph Di Ar + H Mono Ar r = k C + Di Di Di k _ Di C Mono Tri Ar + H Di Ar r = k C + Poly Poly Poly k _ Poly C Di

SIMPIFICATIONS/ ASSUMPTIONS Pressure drop is insignificant compared to the operating pressure Trickle bed reactor is operated isothermally (efficient heat transfer) Ideal gas law is applicable iquid phase reactants are non-volatile (negligible vapor pressure) as-liquid mass transfer is the limiting resistance. The catalyst particles are completely wetted

MODE EQUATIONS Mass Balance of Species i C k k t k, i + ( k ku kck., i ) = ( k k Di, m Ck, i ) + k ksi, k Source Terms for as Phase S i Ci = K ia C i H i Source Terms for iquid Phase S i = K i a C H i i C i + j = nr Bη r ij j= S i = j = nr Bη r ij j=

MODE EQUATIONS Mass Transfer Coefficient (From oto & Smith, 975) Solubility of Hydrogen/ H S (Korsten et al. 996) / = i i i D D a k µ µ α α i N H i λ υ. = 4 3 H. a T a T a T a a + + + + = λ ).847. exp(3.367 T S H = λ.835783 a.94593 a 3.7539 a.4947 a.55979 a 4 6 3 3 3 = = = = = : molar gas volume υ N

CASE STUDIES as and iquid Superficial Velocities Increase with Scale Wetting gets Better with Scale Parameters Reactor Diameter, m Bed ength Particle Diameter, m Bed Porosity HSV, h- Operating Pressure, Mpa Operating Temperature, K Initial H S Conc., v/v % aboratory Scale Reactor (Chowdhury et al. ).9.5 m.4.5-5 -8 573-693.5-8 Commercial Scale Reactor (Bhaskar et al. 4) 3.8 6 m.5.36-5 -8 573-693.5-8

KINETICS/ OI COMPOSITION From Chowdhury et al. () Kinetic Constants Values K Ad, m 3 /kmol 5 K, Dimensionless.5 X exp(-9384/t) k*mono, m 3 /kg.s k*di, m 3 /kg.s k*poly, m 3 /kg.s 6.4 X exp(-44/t) 8.5 X exp(-4/t).66 X 5 exp(-57/t) Component Percentage Ar-S %.67 Poly-Ar %.59 Di-Ar % 8.77 Mono-Ar % 7.96 Naphthenes % 9.5

SIMUATED RESUTS- 9 75 Varying Porosity Conversion, Ar-S % 5 5 Uniform Porosity Ar-S Exp Conversion, x 6 3 573 583 593 63 63 63 633 643 653 Temp, K Temperature 4 6 8 Initial H S Conc as Phase ( %, V/V) Initial Concentration of H S (P=4 MPa, HSV=. h -, Q NTP /Q = m 3 /m 3, T R =3 o C, y HS =.4% ) Symbols denote experimental data of Chowdhury et al. ()

SIMUATED RESUTS- Conversion, % 9 8 7 6 5 4 3 Ar-P total total poly Conversion, % 6 5 4 3 Ar-D Ar-M Ar-Di-Expt Ar-Mono-Exp 573 593 63 633 653 Temperature, K 573 593 63 633 653 Temperature, K (P=4 MPa, HSV=. h -, Q NTP /Q = m 3 /m 3, y HS =.4%) Symbols denote experimental data of Chowdhury et al. ()

SIMUATED RESUTS-3 Conversion, % 6 5 4 3 Total-Ar Ar-Poly Ar-Di Ar-Mono.4.8 3. 3.6 4 HSV, h - (P=4 MPa, TR=3 o C, Q NTP /Q = m 3 /m 3, y HS =.4%, filled symbols are for experimental data of Chowdhury et al., )

INFUENCE OF REACTOR SCAE.6 35.6 7.4 3.4 6 Dimensionless Solid Hold-up..8.6.4 Solid hold-up ocal Axial Velocity 5 5 Dimensionless ocal Axial Velocity Dimensionless Solid Hold-up..8.6.4 Solid hold-up ocal Axial Velocity 5 4 3 Dimensionless ocal Axial Velocity. 5...4.6.8 Dimensionless Radius..4.6.8 Dimensionless Radius aboratory (HSV=3) Industrial (HSV=) (P=4 MPa, T R =3 o C, Q NTP /Q =3 m 3 /m 3 )

INFUENCE OF REACTOR SCAE Conversion, % 75 5 ab-scale Reactor Commercial Reactor Outlet Conc. Ar-S, ppm 8 6 4 ab Scale Reactor Commercial Reactor 5 573 593 63 633 653 Temperature, K 573 593 63 633 653 Temperature, K (P lab & com =4 & 4.4 MPa, HSV lab =. h -, Q NTP /Q = m 3 /m 3, y HS =.4%)

INFUENCE OF REACTOR SCAE 95 8 9 Conversion, % 6 4 Poly-Ar Total Poly-Ar-Commercial Total-Commercial Conversion, % 85 8 75 7 65 6 55 Ar-S-ab Scale Ar-S-Commercial - 5 573 593 63 633 653 Temperature, K.5 3 3.5 4 HSV, h- (P lab & com =4 & 4.4 MPa, HSV lab & com =. & 3. h -, (Q NTP /Q ) lab & com = & 3 m 3 /m 3, y HS =.4%) (P lab & com =4 & 4.4 MPa, Temperature= 593 K, (Q NTP /Q ) lab & com = & 3 m 3 /m 3, y HS =.4%)

INFUENCE OF REACTOR SCAE Conversion, % 8 6 4 Poly-Ar Di-Ar Mono-Ar Total Conversion, % 9 8 7 6 5 4 3 Poly-Ar Di-Ar Mono-Ar Total 3 4 5 6 7 8 Pressure, MPa.5 3 3.5 4 HSV, h - (Q NTP /Q ) lab & com = & 3 m 3 /m 3 T=593 K HSV lab & com =. & 3. h -,y HS =.4% P lab & com =4 & 4.4 Mpa, T=593 K y HS =.4% (Q NTP /Q ) lab & com = & 3 m 3 /m 3 Continuous lines: commercial; Dotted lines: laboratory scale

CONCUDIN REMARKS Macroscopic CFD Model Reasonably Simulates asliquid Flow in Trickle Beds iquid hold-up Residence time distribution May be used to estimate fraction of suspended liquid Further Work is Needed for Understanding Wetting/ Hysteresis to Make Further Progress Despite imitations, CFD Models can be Used to Understand Key Issues in Reactor Engineering Including Scale-up & Scale-down

MODEIN OF MESO-SCAE FOWS Single Phase Flow through Packed Bed Unit cell approach Simple cubic, FCC, rhombohedral.. Inertial flow structures, pressure drop, heat transfer Interaction of iquid Drop/ Film with Solid Surface Regimes of interaction Dynamic contact angle/ surface characteristics VOF simulations Insight into capillary forces???

SINE PHASE FOW Single Phase Flow through Packed Bed Periodic Flow Periodic Flow Wall Wall Wall Operating Parameters Cell ength 8mm, 3mm Fluid Water Particle Reynolds Number -6

SINE PHASE FOW 5 Experiments: Suekane et al. AIChE J., 49, 4.5 Simulations

SINE PHASE FOW 3 Experiment al 4 Experiment al Simulat ion-8mm Simulat ion-3mm 3 Simulation-8mm Simulat ion-3mm Vz/Vmean Vz/Vmean Vz/Vmean - -.5.5 x/r 5 4 3 - Experimental Simulation-8mm Simulat ion-3mm - -.5 x/r.5 Vz/Vmean - - -.5.5 5 4 3 - x/r Experimental Simulation-8mm Simulat ion-3mm - -.5.5 x/r

SINE PHASE FOW E Vz=8.66mm /s S Max arrow length : A=.6 mm/s B=.9 mm/s C=.44 mm/s A: z/r=.4 (experimental) B: z/r=.8 (experimental) C: z/r=.4 (experimental)

SINE PHASE FOW Inertial Flow Structures were Captured Accurately by CFD Models Velocity Distribution in Unit Cells Resembles that in a Packed Bed Ergun Parameters may be Obtained through Unit Cell Approach for Semi-structured Packed Bed Unit Cell Approach may be Extended to Simulate Two Phase Flows to Understand Wetting

IQUID SPREADIN ON SOID SURFACES Monitor Computer ight Diffuser Drop Rest on Flat Plate ight 8.79mm mm φ.4mm Drop Flow Over Pellet CCD Camera

DROP IMPACT ON SOID SURFACE

DROP IMPACT ON SOID SURFACE

FAT SURFACE t=ms t=45ms t=ms t=36ms (a) (d) t=ms t=45ms t=6ms t=48ms (b) (e) t=5ms t=ms t=ms t=4ms (c) (f)

DYNAMICS OF DROP IMPACT

MODES FOR INTERPHASE COUPIN? Drop Shape at ms Wall Shear Stress on Solid Surface, red~ Pa Shear Strain on as-liquid Interface