CFD Modelling of Wet Flue Gas Desulphurization (WFGD) Unit: A New Era of Process System Control and Optimization

Size: px
Start display at page:

Download "CFD Modelling of Wet Flue Gas Desulphurization (WFGD) Unit: A New Era of Process System Control and Optimization"

Transcription

1 CFD Modelling of Wet Flue Gas Desulphurization (WFGD) Unit: A New Era of Process System Control and Optimization A. Arif, R. C. Everson, H. W. J. P. Neomagus Emission Control North-West University, Potchefstroom Campus, Potchefstroom 50, South Africa

2 Outline Purpose Theoretical framework Results and conclusion Implications Acknowledgement

3 Purpose Overall objective of research Comprehensive CFD model for WFGD unit of high capacity coal fired power station to develop» Simulator for examining operation and trouble shooting» Simpler models for integrated system analysis for energy optimization» Recommendation for process modifications (sorbent, composition, control etc.) Objective of presentation CFD Model of an industrial WFGD to study» Hydrodynamics of flue gas and slurry droplets» Heat transfer between flue gas and slurry droplets» Slurry droplets characteristics (size, interaction, distortion etc)» Slurry droplets evaporation» Slurry distribution (nozzle location)

4 Introduction Power industry has been challenged by environmental initiatives Emission controls on modern power stations account for 10-0 % of the capital investment 1 Significant operation and maintenance cost Power generation represents the largest controllable source of SO emissions Dominating SO absorption technology in the world is wet flue gas Desulphurisation (WFGD) Where SO of flue gas is scrubbed by slurry of lime stone in counter current operation For an estimation of SO removal, It is important to know Exact flow characteristics Slurry droplets behavior Detailed modeling using computational fluid dynamics (CFD) platform 1 Marocco, L., 008. PhD Dissertation, Politecnico di Milano, Italy Bautsch, C., Fahlenkamp, H., 006, IClass-006, Kyoto, Japan

5 Introduction Open literature studies are limited to small scale / pilot plants, ignoring Droplet-wall interactions, distortion & size distribution Enhancement studies CO desorption & water condensation Natural oxidation of sulphite to sulphate Interphase chemistry with rate studies 5

6 South African power stations & WFGD

7 South African power stations & WFGD 7

8 WFGD's Absorber

9 Absorber geometry

10 Slurry spray bank Nozzle # 4

11 CFD modeling Modeling approach = Euler-Lagrange Phase interaction = Two way coupling Turbulence model = k-ε turbulence model Nozzles = 150 hollow cone point injectors Drag force = Liu dynamic drag coefficient model Droplet distortion = TAB distortion model Mist eliminator = Porous media with suitable pressure drop Droplet-wall interaction = Escape, Rebound and Bai-Gosman wall impingement model Droplet size distribution = Rosin Rammler particle size distribution model Domain discretization = Polyhedral and prism layer cells with surface remesher Evaporation = Quasi - steady state droplet evaporation model Absorption = Coupled specialized model

12 Rosin Rammler particle size distribution model D D ref 1 exp F D q Rosin-Rammler Exponent = 3.05 Rosin-Rammler Diameter = 650 μm Minimum Droplet Diameter = 68 μm Maximum Droplet Diameter = 5100 μm D R 100 exp D ref q 100 D log loge R D ref 100 log log q log D q log Dref log log e R 100 log log q log D C R q

13 Bai- Gosman wall impingement Incident Weber Number Laplace Number Boundary Temperature Wall State (Wet or Dry) Bai, C. and Gosman, A.D. 1996

14 Liu dynamic drag coefficient The Liu dynamic drag coefficient is intended to account for the dependence of the drag of a liquid droplet on its distortion under the action of aerodynamic forces. As the distortion of the droplet increases, its shape is assumed to become a disk whose axis is aligned with the relative velocity. This increases the drag on the droplet. The Liu drag coefficient models this effect by noting that the high Reynolds number limit of the drag coefficient of a disk is It then assumes that the disk drag is 1.54/0.44 higher than the sphere drag at all Reynolds numbers, and that the drag of intermediate shapes can be interpolated between those two extremes. So The interpolation factor y is 0 for a sphere and 1 for a disk. It is identified as the TAB distortion, and hence the Liu drag coefficient requires the TAB distortion model to calculate this quantity. Liu, 1993

15 TAB distortion model The TAB Distortion model is used to calculate the distortion of liquid droplets under the action of aerodynamic forces. It calculate the instantaneous displacement x of the droplet equator from its equilibrium position. Where y Distortion Rate Viscosity C t d We Damping Coefficient crit Critical Weber Number Surface Tension We Weber Number C k Stiffness Coefficient Baumgarten, 006, O'Rourke, 1987

16 Modeling equations Continuous Phase ρ = Density of flue gas τ = Shear stress u = Velocity of flue gas τ R = Reynolds stress tensor p = Pressure of flue gas ω A = Mass fraction of component A g = Acceleration due to gravity k c = Thermal conductivity of flue gas T = Temperature of flue gas D AB = Binary diffusion coefficient of A in B

17 Modeling equations Dispersed Phase After evaluation of flue gas velocity field, particles trajectories can be computed. The equation of single parcel takes the following forms The above equations can be solved by stepwise integration over discrete time steps, using the continuous phase flow properties at the current droplet positions. The evaluation of particles source terms allows the determination of gas source terms.

18 Mass transfer source terms Mass Source Term Mass transfer by evaporation of water from slurry to gas phase and absorption of SO from gas phase to slurry droplet, ignoring water vapor condensation and SO desorption. S S S m m k, mass k, H O k, SO H O SO N k P P H O H O, g H O, H O, i N k P H C SO SO, tot SO, SO SO,

19 SO absorption and chemical reaction M. Gerbec, A. Stergarsek, R. Kocjancic, Computer Chem. Engg.

20 NSO KG PSO P SOi P H C SOi SO SO SO SO SO SO, d N K P H C SO G SO, d o For C for Air-Water System, d, d...(1) A ln H B lnt G.Maurer-1980 SO d CTd D T Initially C N Then C SO absorption and chemical reaction 0 d K P SO G SO N SO Droplet Surface Area Droplet Residence Time Droplet Volume N K P SO G SO mole Mass transfer flux m s mole Global mass transfer coefficient m s pa pa Partial pressure of SO in gas bulk System absolute pressure Mole fraction SO 3 pa m H Henery's Constant SO mole mole C Concentration of SO in liquid bulk SO, d 3 m T K Droplet Temperature d

21 SO absorption and chemical reaction K k d D G 1 1 H k Dd, SO 10 d d, SO T d f, SO SO G SO d H O d kgrtdd Sh 0.55 Re D P Sc D D k Const f d d d f f, SO d vd, Re Sc d 1 1 M f M f, SO 1/3 1/3 P Vm, f Vm, SO T SO 1 k k G d D SO m s Gas side mass transfer coefficient mole m s pa Liquid side mass transfer coefficient 10 Enhancement Factor m d, SO s J R mole K d m P pa T d K m (Binary liquid diffusion coefficient of SO in water) Gas Constant Gas pressure in absolute values Gas Temperature Droplet diameter Volume m D f, SO Binary gas diffusion coefficient of SO in air s kg pa s Viscosity m s kg 3 Density m M MolecularWeight V Molecular

22 SO absorption and chemical reaction Soren Kill, Michael L. Michelsen and Kim Dam Johansen., 1998, Ind. Eng. Chem. Res.

23 SO absorption and chemical reaction Absorption (Spray Zone) Neutralization (Spray Zone) Eight nonlinear algebraic equations and eight unknowns dissolved species concentration i.e SO (aq), CO (aq), H +, OH -, HSO 3-, SO 3 -, HCO 3-, CO 3 - Marocco, L., 008. PhD Dissertation, Politecnico di Milano, Italy

24 L/G (1000*Vol Frac) Velocity (m/s) Pressure Drop (kpa) Results: Sensitivity analysis M Cell 3. M Cell.5 M Cell M Cell 3. M Cell.5 M Cell Iterations 7.4 M Cell 3. M Cell.5 M Cell Iterations Iterations

25 Results: Single nozzle dynamics 0 m 0 m 0 m 5

26 Results: Single nozzle dynamics

27 Results: Full absorber dynamics 7

28 Results: Velocity profile 10 cm upstream of ME 8

29 Results: Slurry droplets diameter 9

30 Results: Evaporation 30

31 Results: L/G (dm 3 of slurry / m 3 of gas) Axial Profile Level 1 & Level 3 & 4 Level & 3 31

32 Conclusion CFD analysis shows higher velocity close to the WFGD's wall which results in low L/G ratio near the wall and higher L/G ratio in the middle of the column. Concentrating more slurry nozzles near the wall, results in uniform L/G profile across the column. The estimated values of pressure drop across ME and nozzle dispersion of slurry are with close agreement with the manufacturer data. As the flue gas flows inside the WFGD cooling occur with an increase in moisture content which is due to counter current interaction with the slurry droplets, thereby exchange heat and mass transfer as a result of this interaction. Saturation is reached very soon after the gas enters the tower, which is very close to the real plant observations. 3

33 Future work Modeling of interphase mass transfer Natural oxidation of sulphite to sulphate due to the oxygen content in the flue gas. Studies with South African sorbents Modeling of interphase chemical reactions Complex chemistry with rate studies Enhancement studies Modeling of pilot plant for validation 33

34 Implications The modelling results can be used In the design phase of industrial full-scale WFGD and for the retrofitting of existing plants with WFGD unit Improve the efficiency of WFGD absorber at coal-fired power plants by revealing regions of poor gas/liquid contact and identifying a solution to eliminate them. Recommendations for major modifications to accommodate alternative sorbents, different gas compositions and new process control strategies. Understand the complex multiphase process inside the column and thereby will help to cope with trouble shooting and emergency conditions. 34

35 Acknowledgement

36 Thank You For Your Attention Any Questions??

ME6130 An introduction to CFD 1-1

ME6130 An introduction to CFD 1-1 ME6130 An introduction to CFD 1-1 What is CFD? Computational fluid dynamics (CFD) is the science of predicting fluid flow, heat and mass transfer, chemical reactions, and related phenomena by solving numerically

More information

Express Introductory Training in ANSYS Fluent Lecture 1 Introduction to the CFD Methodology

Express Introductory Training in ANSYS Fluent Lecture 1 Introduction to the CFD Methodology Express Introductory Training in ANSYS Fluent Lecture 1 Introduction to the CFD Methodology Dimitrios Sofialidis Technical Manager, SimTec Ltd. Mechanical Engineer, PhD PRACE Autumn School 2013 - Industry

More information

Computational Fluid Dynamics (CFD) and Multiphase Flow Modelling. Associate Professor Britt M. Halvorsen (Dr. Ing) Amaranath S.

Computational Fluid Dynamics (CFD) and Multiphase Flow Modelling. Associate Professor Britt M. Halvorsen (Dr. Ing) Amaranath S. Computational Fluid Dynamics (CFD) and Multiphase Flow Modelling Associate Professor Britt M. Halvorsen (Dr. Ing) Amaranath S. Kumara (PhD Student), PO. Box 203, N-3901, N Porsgrunn, Norway What is CFD?

More information

Introduction to Computational Fluid Dynamics (CFD) for Combustion. www.reaction-eng.com (801) 364-6925

Introduction to Computational Fluid Dynamics (CFD) for Combustion. www.reaction-eng.com (801) 364-6925 Introduction to Computational Fluid Dynamics (CFD) for Combustion www.reaction-eng.com (801) 364-6925 What is CFD? CFD stands for Computational Fluid Dynamics CFD uses computers to represent (or model)

More information

CHEMICAL ENGINEERING AND CHEMICAL PROCESS TECHNOLOGY - Vol. I - Interphase Mass Transfer - A. Burghardt

CHEMICAL ENGINEERING AND CHEMICAL PROCESS TECHNOLOGY - Vol. I - Interphase Mass Transfer - A. Burghardt INTERPHASE MASS TRANSFER A. Burghardt Institute of Chemical Engineering, Polish Academy of Sciences, Poland Keywords: Turbulent flow, turbulent mass flux, eddy viscosity, eddy diffusivity, Prandtl mixing

More information

Multi-pollutant control solutions for coal based power plants

Multi-pollutant control solutions for coal based power plants Multi-pollutant control solutions for coal based power plants By Luca Mancuso and Hans Janssen Content SOx control Wet Scrubbers Open towers Dual Flow Tray Technology Semi-Dry SDA CFB Scrubbers Dust control

More information

Basic Principles in Microfluidics

Basic Principles in Microfluidics Basic Principles in Microfluidics 1 Newton s Second Law for Fluidics Newton s 2 nd Law (F= ma) : Time rate of change of momentum of a system equal to net force acting on system!f = dp dt Sum of forces

More information

Modeling and Simulation of Complex Multiphase Flows in the Pharmaceutical Industry

Modeling and Simulation of Complex Multiphase Flows in the Pharmaceutical Industry SIMNET Days 2010 Februar 10, 2010 Modeling and Simulation of Complex Multiphase Flows in the Pharmaceutical Industry D. Suzzi a, G. Toschkoff a, S. Radl a,b, Th. Hörmann a, M. Schaffer a, D. Machold a,

More information

Frost Damage of Roof Tiles in Relatively Warm Areas in Japan

Frost Damage of Roof Tiles in Relatively Warm Areas in Japan Frost Damage of Roof Tiles in Relatively Warm Areas in Japan Influence of Surface Finish on Water Penetration Chiemi IBA Hokkaido Research Organization, Japan Shuichi HOKOI Kyoto University, Japan INTRODUCTION

More information

Customer Training Material. Lecture 2. Introduction to. Methodology ANSYS FLUENT. ANSYS, Inc. Proprietary 2010 ANSYS, Inc. All rights reserved.

Customer Training Material. Lecture 2. Introduction to. Methodology ANSYS FLUENT. ANSYS, Inc. Proprietary 2010 ANSYS, Inc. All rights reserved. Lecture 2 Introduction to CFD Methodology Introduction to ANSYS FLUENT L2-1 What is CFD? Computational Fluid Dynamics (CFD) is the science of predicting fluid flow, heat and mass transfer, chemical reactions,

More information

NUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES

NUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES Vol. XX 2012 No. 4 28 34 J. ŠIMIČEK O. HUBOVÁ NUMERICAL ANALYSIS OF THE EFFECTS OF WIND ON BUILDING STRUCTURES Jozef ŠIMIČEK email: jozef.simicek@stuba.sk Research field: Statics and Dynamics Fluids mechanics

More information

Turbulence, Heat and Mass Transfer (THMT 09) Poiseuille flow of liquid methane in nanoscopic graphite channels by molecular dynamics simulation

Turbulence, Heat and Mass Transfer (THMT 09) Poiseuille flow of liquid methane in nanoscopic graphite channels by molecular dynamics simulation Turbulence, Heat and Mass Transfer (THMT 09) Poiseuille flow of liquid methane in nanoscopic graphite channels by molecular dynamics simulation Sapienza Università di Roma, September 14, 2009 M. T. HORSCH,

More information

Use of OpenFoam in a CFD analysis of a finger type slug catcher. Dynaflow Conference 2011 January 13 2011, Rotterdam, the Netherlands

Use of OpenFoam in a CFD analysis of a finger type slug catcher. Dynaflow Conference 2011 January 13 2011, Rotterdam, the Netherlands Use of OpenFoam in a CFD analysis of a finger type slug catcher Dynaflow Conference 2011 January 13 2011, Rotterdam, the Netherlands Agenda Project background Analytical analysis of two-phase flow regimes

More information

GT2011 46090 ANALYSIS OF A MICROGASTURBINE FED BY NATURAL GAS AND SYNTHESIS GAS: MGT TEST BENCH AND COMBUSTOR CFD ANALYSIS

GT2011 46090 ANALYSIS OF A MICROGASTURBINE FED BY NATURAL GAS AND SYNTHESIS GAS: MGT TEST BENCH AND COMBUSTOR CFD ANALYSIS ASME Turbo Expo 2011 June 6 10, 2011 Vancouver, Canada GT 2011 46090 ANALYSIS OF A MICROGASTURBINE FED BY NATURAL GAS AND SYNTHESIS GAS: MGT TEST BENCH AND COMBUSTOR CFD ANALYSIS M. Cadorin 1,M. Pinelli

More information

Lecture 6 - Boundary Conditions. Applied Computational Fluid Dynamics

Lecture 6 - Boundary Conditions. Applied Computational Fluid Dynamics Lecture 6 - Boundary Conditions Applied Computational Fluid Dynamics Instructor: André Bakker http://www.bakker.org André Bakker (2002-2006) Fluent Inc. (2002) 1 Outline Overview. Inlet and outlet boundaries.

More information

CASL-U-2013-0193-000

CASL-U-2013-0193-000 L3:THM.CFD.P7.06 Implementation and validation of the new RPI boiling models using STAR-CCM+ as CFD Platform Victor Petrov, Annalisa Manera UMICH September 30, 2013 EXECUTIVE SUMMARY This milestone is

More information

POLITECNICO DI MILANO Department of Energy

POLITECNICO DI MILANO Department of Energy 1D-3D coupling between GT-Power and OpenFOAM for cylinder and duct system domains G. Montenegro, A. Onorati, M. Zanardi, M. Awasthi +, J. Silvestri + ( ) Dipartimento di Energia - Politecnico di Milano

More information

AN EFFECT OF GRID QUALITY ON THE RESULTS OF NUMERICAL SIMULATIONS OF THE FLUID FLOW FIELD IN AN AGITATED VESSEL

AN EFFECT OF GRID QUALITY ON THE RESULTS OF NUMERICAL SIMULATIONS OF THE FLUID FLOW FIELD IN AN AGITATED VESSEL 14 th European Conference on Mixing Warszawa, 10-13 September 2012 AN EFFECT OF GRID QUALITY ON THE RESULTS OF NUMERICAL SIMULATIONS OF THE FLUID FLOW FIELD IN AN AGITATED VESSEL Joanna Karcz, Lukasz Kacperski

More information

CFD Simulation of Subcooled Flow Boiling using OpenFOAM

CFD Simulation of Subcooled Flow Boiling using OpenFOAM Research Article International Journal of Current Engineering and Technology E-ISSN 2277 4106, P-ISSN 2347-5161 2014 INPRESSCO, All Rights Reserved Available at http://inpressco.com/category/ijcet CFD

More information

Contents. Microfluidics - Jens Ducrée Physics: Fluid Dynamics 1

Contents. Microfluidics - Jens Ducrée Physics: Fluid Dynamics 1 Contents 1. Introduction 2. Fluids 3. Physics of Microfluidic Systems 4. Microfabrication Technologies 5. Flow Control 6. Micropumps 7. Sensors 8. Ink-Jet Technology 9. Liquid Handling 10.Microarrays 11.Microreactors

More information

2nd IEA Oxyfuel Combustion Conference

2nd IEA Oxyfuel Combustion Conference 2nd IEA Oxyfuel Combustion Conference Oxyfuel Combustion with Hitachi's DST - Burner at Vattenfall's 30Wth Pilot Plant at Schwarze Pumpe S. Rehfeldt, F.-P. Schiffer, P. Weckes, C. Bergins, K.-D. Tigges

More information

A. Hyll and V. Horák * Department of Mechanical Engineering, Faculty of Military Technology, University of Defence, Brno, Czech Republic

A. Hyll and V. Horák * Department of Mechanical Engineering, Faculty of Military Technology, University of Defence, Brno, Czech Republic AiMT Advances in Military Technology Vol. 8, No. 1, June 2013 Aerodynamic Characteristics of Multi-Element Iced Airfoil CFD Simulation A. Hyll and V. Horák * Department of Mechanical Engineering, Faculty

More information

Fluid Mechanics: Static s Kinematics Dynamics Fluid

Fluid Mechanics: Static s Kinematics Dynamics Fluid Fluid Mechanics: Fluid mechanics may be defined as that branch of engineering science that deals with the behavior of fluid under the condition of rest and motion Fluid mechanics may be divided into three

More information

Putting a chill on global warming

Putting a chill on global warming Carbon capture and storage Putting a chill on global warming SABINE SULZER SULZER PUMPS MARKUS DUSS SULZER CHEMTECH Whenever fuel is burned, carbon dioxide (CO ) is emitted into the atmosphere. The subsequent

More information

Battery Thermal Management System Design Modeling

Battery Thermal Management System Design Modeling Battery Thermal Management System Design Modeling Gi-Heon Kim, Ph.D Ahmad Pesaran, Ph.D (ahmad_pesaran@nrel.gov) National Renewable Energy Laboratory, Golden, Colorado, U.S.A. EVS October -8, 8, 006 Yokohama,

More information

Process Integration of Chemical Looping Combustion with Oxygen Uncoupling in a Coal-Fired Power Plant

Process Integration of Chemical Looping Combustion with Oxygen Uncoupling in a Coal-Fired Power Plant Process Integration of Chemical Looping Combustion with Oxygen Uncoupling in a Coal-Fired Power Plant Petteri Peltola 1, Maurizio Spinelli 2, Aldo Bischi 2, Michele Villani 2, Matteo C. Romano 2, Jouni

More information

How To Run A Cdef Simulation

How To Run A Cdef Simulation Simple CFD Simulations and Visualisation using OpenFOAM and ParaView Sachiko Arvelius, PhD Purpose of this presentation To show my competence in CFD (Computational Fluid Dynamics) simulation and visualisation

More information

Model of a flow in intersecting microchannels. Denis Semyonov

Model of a flow in intersecting microchannels. Denis Semyonov Model of a flow in intersecting microchannels Denis Semyonov LUT 2012 Content Objectives Motivation Model implementation Simulation Results Conclusion Objectives A flow and a reaction model is required

More information

Absorption with chemical reaction: evaluation of rate promoters effect on CO 2 absorption in hot potassium carbonate solutions

Absorption with chemical reaction: evaluation of rate promoters effect on CO 2 absorption in hot potassium carbonate solutions 17 th European Symposium on Computer Aided Process Engineering ESCAPE17 V. Plesu and P.S. Agachi (Editors) 007 Elsevier B.V. All rights reserved. 1 Absorption with chemical reaction: evaluation of rate

More information

CFD Based Air Flow and Contamination Modeling of Subway Stations

CFD Based Air Flow and Contamination Modeling of Subway Stations CFD Based Air Flow and Contamination Modeling of Subway Stations Greg Byrne Center for Nonlinear Science, Georgia Institute of Technology Fernando Camelli Center for Computational Fluid Dynamics, George

More information

Modelling the Drying of Porous Coal Particles in Superheated Steam

Modelling the Drying of Porous Coal Particles in Superheated Steam B. A. OLUFEMI and I. F. UDEFIAGBON, Modelling the Drying of Porous Coal, Chem. Biochem. Eng. Q. 24 (1) 29 34 (2010) 29 Modelling the Drying of Porous Coal Particles in Superheated Steam B. A. Olufemi *

More information

Introduction to CFD Analysis

Introduction to CFD Analysis Introduction to CFD Analysis 2-1 What is CFD? Computational Fluid Dynamics (CFD) is the science of predicting fluid flow, heat and mass transfer, chemical reactions, and related phenomena by solving numerically

More information

Basic Equations, Boundary Conditions and Dimensionless Parameters

Basic Equations, Boundary Conditions and Dimensionless Parameters Chapter 2 Basic Equations, Boundary Conditions and Dimensionless Parameters In the foregoing chapter, many basic concepts related to the present investigation and the associated literature survey were

More information

PHYSICAL-CHEMICAL PROCESSES OF CLOUD ACTIVATION STUDIED WITH A DESKTOP CLOUD MODEL

PHYSICAL-CHEMICAL PROCESSES OF CLOUD ACTIVATION STUDIED WITH A DESKTOP CLOUD MODEL PHYSICAL-CHEMICAL PROCESSES OF CLOUD ACTIVATION STUDIED WITH A DESKTOP CLOUD MODEL Stephen E. Schwartz ses@bnl.gov Brookhaven National Laboratory Upton NY USA 11973 6th International Conference Air-Surface

More information

CFD Simulation of HSDI Engine Combustion Using VECTIS

CFD Simulation of HSDI Engine Combustion Using VECTIS CFD Simulation of HSDI Engine Combustion Using VECTIS G. Li, S.M. Sapsford Ricardo Consulting Engineer s Ltd., Shoreham-by-Sea, UK ABSTRACT As part of the VECTIS code validation programme, CFD simulations

More information

Chemistry 13: States of Matter

Chemistry 13: States of Matter Chemistry 13: States of Matter Name: Period: Date: Chemistry Content Standard: Gases and Their Properties The kinetic molecular theory describes the motion of atoms and molecules and explains the properties

More information

Lecture 24 - Surface tension, viscous flow, thermodynamics

Lecture 24 - Surface tension, viscous flow, thermodynamics Lecture 24 - Surface tension, viscous flow, thermodynamics Surface tension, surface energy The atoms at the surface of a solid or liquid are not happy. Their bonding is less ideal than the bonding of atoms

More information

Mixing in the process industry: Chemicals Food Pharmaceuticals Paper Polymers Minerals Environmental. Chemical Industry:

Mixing in the process industry: Chemicals Food Pharmaceuticals Paper Polymers Minerals Environmental. Chemical Industry: Mixing Notes: Chapter 19 Robert P. Hesketh Mixing in the process industry: Chemicals Food Pharmaceuticals Paper Polymers Minerals Environmental Chemical Industry: Paints and Coatings Synthetic Rubbers

More information

CFD MODELLING OF HYDRODYNAMICS IN SUPERCRITICAL FLUID EXTRACTION SYSTEMS

CFD MODELLING OF HYDRODYNAMICS IN SUPERCRITICAL FLUID EXTRACTION SYSTEMS 14 th European Conference on Mixing Warszawa, 10-13 September 2012 CFD MODELLING OF HYDRODYNAMICS IN SUPERCRITICAL FLUID EXTRACTION SYSTEMS Jan Krzysztoforski, Marek Henczka Warsaw University of Technology,

More information

CFD SIMULATION OF SDHW STORAGE TANK WITH AND WITHOUT HEATER

CFD SIMULATION OF SDHW STORAGE TANK WITH AND WITHOUT HEATER International Journal of Advancements in Research & Technology, Volume 1, Issue2, July-2012 1 CFD SIMULATION OF SDHW STORAGE TANK WITH AND WITHOUT HEATER ABSTRACT (1) Mr. Mainak Bhaumik M.E. (Thermal Engg.)

More information

Collision of a small bubble with a large falling particle

Collision of a small bubble with a large falling particle EPJ Web of Conferences 67, 212 (214) DOI: 1.11/ epjconf/ 21467212 C Owned by the authors, published by EDP Sciences, 214 Collision of a small bubble with a large falling particle Jiri Vejrazka 1,a, Martin

More information

Introduction to CFD Analysis

Introduction to CFD Analysis Introduction to CFD Analysis Introductory FLUENT Training 2006 ANSYS, Inc. All rights reserved. 2006 ANSYS, Inc. All rights reserved. 2-2 What is CFD? Computational fluid dynamics (CFD) is the science

More information

Increasing Power Plant efficiency for safe wet stack Operation

Increasing Power Plant efficiency for safe wet stack Operation Increasing Power Plant efficiency for safe wet stack Operation Albert de Kreij Albert de Kreij joined Hadek Protective Systems in 1989. He has been closely involved in a number of projects with the use

More information

Heat Transfer Prof. Dr. Ale Kumar Ghosal Department of Chemical Engineering Indian Institute of Technology, Guwahati

Heat Transfer Prof. Dr. Ale Kumar Ghosal Department of Chemical Engineering Indian Institute of Technology, Guwahati Heat Transfer Prof. Dr. Ale Kumar Ghosal Department of Chemical Engineering Indian Institute of Technology, Guwahati Module No. # 04 Convective Heat Transfer Lecture No. # 03 Heat Transfer Correlation

More information

Modeling of Diesel Fuel Spray Formation in OpenFOAM

Modeling of Diesel Fuel Spray Formation in OpenFOAM Modeling of Diesel Fuel Spray Formation in OpenFOAM Anne Kösters (Chalmers Univ of Technology) Anders Karlsson (Volvo Technology Corporation) Motivation Sprays are involved in many applications (internal

More information

Lecture 3 Fluid Dynamics and Balance Equa6ons for Reac6ng Flows

Lecture 3 Fluid Dynamics and Balance Equa6ons for Reac6ng Flows Lecture 3 Fluid Dynamics and Balance Equa6ons for Reac6ng Flows 3.- 1 Basics: equations of continuum mechanics - balance equations for mass and momentum - balance equations for the energy and the chemical

More information

Lecture 9 Solving Material Balances Problems Involving Non-Reactive Processes

Lecture 9 Solving Material Balances Problems Involving Non-Reactive Processes CHE 31. INTRODUCTION TO CHEMICAL ENGINEERING CALCULATIONS Lecture 9 Solving Material Balances Problems Involving Non-Reactive Processes Component and Overall Material Balances Consider a steady-state distillation

More information

4. Introduction to Heat & Mass Transfer

4. Introduction to Heat & Mass Transfer 4. Introduction to Heat & Mass Transfer This section will cover the following concepts: A rudimentary introduction to mass transfer. Mass transfer from a molecular point of view. Fundamental similarity

More information

Simulation to Analyze Two Models of Agitation System in Quench Process

Simulation to Analyze Two Models of Agitation System in Quench Process 20 th European Symposium on Computer Aided Process Engineering ESCAPE20 S. Pierucci and G. Buzzi Ferraris (Editors) 2010 Elsevier B.V. All rights reserved. Simulation to Analyze Two Models of Agitation

More information

Differential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation

Differential Relations for Fluid Flow. Acceleration field of a fluid. The differential equation of mass conservation Differential Relations for Fluid Flow In this approach, we apply our four basic conservation laws to an infinitesimally small control volume. The differential approach provides point by point details of

More information

Chapter 2 Chemical and Physical Properties of Sulphur Dioxide and Sulphur Trioxide

Chapter 2 Chemical and Physical Properties of Sulphur Dioxide and Sulphur Trioxide Chapter 2 Chemical and Physical Properties of Sulphur Dioxide and Sulphur Trioxide 2.1 Introduction In order to appreciate the impact of the properties of liquid sulphur dioxide and liquid sulphur trioxide

More information

Heat transfer in Rotating Fluidized Beds in a Static Geometry: A CFD study

Heat transfer in Rotating Fluidized Beds in a Static Geometry: A CFD study Heat transfer in Rotating Fluidized Beds in a Static Geometry: A CFD study Nicolas Staudt, Juray De Wilde* * Université catholique de Louvain MAPR / IMAP Réaumur, Place Sainte Barbe 2 1348 Louvain-la-Neuve

More information

HEAT TRANSFER ANALYSIS IN A 3D SQUARE CHANNEL LAMINAR FLOW WITH USING BAFFLES 1 Vikram Bishnoi

HEAT TRANSFER ANALYSIS IN A 3D SQUARE CHANNEL LAMINAR FLOW WITH USING BAFFLES 1 Vikram Bishnoi HEAT TRANSFER ANALYSIS IN A 3D SQUARE CHANNEL LAMINAR FLOW WITH USING BAFFLES 1 Vikram Bishnoi 2 Rajesh Dudi 1 Scholar and 2 Assistant Professor,Department of Mechanical Engineering, OITM, Hisar (Haryana)

More information

Chapter 12 - Liquids and Solids

Chapter 12 - Liquids and Solids Chapter 12 - Liquids and Solids 12-1 Liquids I. Properties of Liquids and the Kinetic Molecular Theory A. Fluids 1. Substances that can flow and therefore take the shape of their container B. Relative

More information

Laminar Flow and Heat Transfer of Herschel-Bulkley Fluids in a Rectangular Duct; Finite-Element Analysis

Laminar Flow and Heat Transfer of Herschel-Bulkley Fluids in a Rectangular Duct; Finite-Element Analysis Tamkang Journal of Science and Engineering, Vol. 12, No. 1, pp. 99 107 (2009) 99 Laminar Flow and Heat Transfer of Herschel-Bulkley Fluids in a Rectangular Duct; Finite-Element Analysis M. E. Sayed-Ahmed

More information

Performance of the Boiler and To Improving the Boiler Efficiency Using Cfd Modeling

Performance of the Boiler and To Improving the Boiler Efficiency Using Cfd Modeling IOSR Journal of Mechanical and Civil Engineering (IOSR-JMCE) e-issn: 2278-1684,p-ISSN: 2320-334X, Volume 8, Issue 6 (Sep. - Oct. 2013), PP 25-29 Performance of the Boiler and To Improving the Boiler Efficiency

More information

Turbulence Modeling in CFD Simulation of Intake Manifold for a 4 Cylinder Engine

Turbulence Modeling in CFD Simulation of Intake Manifold for a 4 Cylinder Engine HEFAT2012 9 th International Conference on Heat Transfer, Fluid Mechanics and Thermodynamics 16 18 July 2012 Malta Turbulence Modeling in CFD Simulation of Intake Manifold for a 4 Cylinder Engine Dr MK

More information

Contents. Microfluidics - Jens Ducrée Physics: Navier-Stokes Equation 1

Contents. Microfluidics - Jens Ducrée Physics: Navier-Stokes Equation 1 Contents 1. Introduction 2. Fluids 3. Physics of Microfluidic Systems 4. Microfabrication Technologies 5. Flow Control 6. Micropumps 7. Sensors 8. Ink-Jet Technology 9. Liquid Handling 10.Microarrays 11.Microreactors

More information

VALIDATION, MODELING, AND SCALE-UP OF CHEMICAL LOOPING COMBUSTION WITH OXYGEN UNCOUPLING

VALIDATION, MODELING, AND SCALE-UP OF CHEMICAL LOOPING COMBUSTION WITH OXYGEN UNCOUPLING VALIDATION, MODELING, AND SCALE-UP OF CHEMICAL LOOPING COMBUSTION WITH OXYGEN UNCOUPLING A research program funded by the University of Wyoming School of Energy Resources Executive Summary Principal Investigator:

More information

Dimensional analysis is a method for reducing the number and complexity of experimental variables that affect a given physical phenomena.

Dimensional analysis is a method for reducing the number and complexity of experimental variables that affect a given physical phenomena. Dimensional Analysis and Similarity Dimensional analysis is very useful for planning, presentation, and interpretation of experimental data. As discussed previously, most practical fluid mechanics problems

More information

Coupling Forced Convection in Air Gaps with Heat and Moisture Transfer inside Constructions

Coupling Forced Convection in Air Gaps with Heat and Moisture Transfer inside Constructions Coupling Forced Convection in Air Gaps with Heat and Moisture Transfer inside Constructions M. Bianchi Janetti 1, F. Ochs 1 and R. Pfluger 1 1 University of Innsbruck, Unit for Energy Efficient Buildings,

More information

LES SIMULATION OF A DEVOLATILIZATION EXPERIMENT ON THE IPFR FACILITY

LES SIMULATION OF A DEVOLATILIZATION EXPERIMENT ON THE IPFR FACILITY LES SIMULATION OF A DEVOLATILIZATION EXPERIMENT ON THE IPFR FACILITY F. Donato*, G. Rossi**, B. Favini**, E. Giacomazzi*, D. Cecere* F.R. Picchia*, N.M.S. Arcidiacono filippo.donato@enea.it * ENEA-UTTEI/COMSO

More information

Flow Assurance & Operability

Flow Assurance & Operability Flow Assurance & Operability Erosion due to sand production Date Business Name Overview 1. What causes erosion? 2. Sand production and transport 3. Sand management 4. Instrumentation / monitoring of sand

More information

Using Computational Fluid Dynamics (CFD) Simulation to Model Fluid Motion in Process Vessels on Fixed and Floating Platforms

Using Computational Fluid Dynamics (CFD) Simulation to Model Fluid Motion in Process Vessels on Fixed and Floating Platforms Using Computational Fluid Dynamics (CFD) Simulation to Model Fluid Motion in Process Vessels on Fixed and Floating Platforms Dr. Ted Frankiewicz Dr. Chang-Ming Lee NATCO Group Houston, TX USA IBC 9 th

More information

Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2)

Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2) Lecture 3. Turbulent fluxes and TKE budgets (Garratt, Ch 2) In this lecture How does turbulence affect the ensemble-mean equations of fluid motion/transport? Force balance in a quasi-steady turbulent boundary

More information

= 1.038 atm. 760 mm Hg. = 0.989 atm. d. 767 torr = 767 mm Hg. = 1.01 atm

= 1.038 atm. 760 mm Hg. = 0.989 atm. d. 767 torr = 767 mm Hg. = 1.01 atm Chapter 13 Gases 1. Solids and liquids have essentially fixed volumes and are not able to be compressed easily. Gases have volumes that depend on their conditions, and can be compressed or expanded by

More information

4.What is the appropriate dimensionless parameter to use in comparing flow types? YOUR ANSWER: The Reynolds Number, Re.

4.What is the appropriate dimensionless parameter to use in comparing flow types? YOUR ANSWER: The Reynolds Number, Re. CHAPTER 08 1. What is most likely to be the main driving force in pipe flow? A. Gravity B. A pressure gradient C. Vacuum 2.What is a general description of the flow rate in laminar flow? A. Small B. Large

More information

IB Chemistry. DP Chemistry Review

IB Chemistry. DP Chemistry Review DP Chemistry Review Topic 1: Quantitative chemistry 1.1 The mole concept and Avogadro s constant Assessment statement Apply the mole concept to substances. Determine the number of particles and the amount

More information

Steady Flow: Laminar and Turbulent in an S-Bend

Steady Flow: Laminar and Turbulent in an S-Bend STAR-CCM+ User Guide 6663 Steady Flow: Laminar and Turbulent in an S-Bend This tutorial demonstrates the flow of an incompressible gas through an s-bend of constant diameter (2 cm), for both laminar and

More information

Notes on Polymer Rheology Outline

Notes on Polymer Rheology Outline 1 Why is rheology important? Examples of its importance Summary of important variables Description of the flow equations Flow regimes - laminar vs. turbulent - Reynolds number - definition of viscosity

More information

RESEARCH PROJECTS. For more information about our research projects please contact us at: info@naisengineering.com

RESEARCH PROJECTS. For more information about our research projects please contact us at: info@naisengineering.com RESEARCH PROJECTS For more information about our research projects please contact us at: info@naisengineering.com Or visit our web site at: www.naisengineering.com 2 Setup of 1D Model for the Simulation

More information

Boiler efficiency measurement. Department of Energy Engineering

Boiler efficiency measurement. Department of Energy Engineering Boiler efficiency measurement Department of Energy Engineering Contents Heat balance on boilers Efficiency determination Loss categories Fluegas condensation principals Seasonal efficiency Emission evaluation

More information

7. 1.00 atm = 760 torr = 760 mm Hg = 101.325 kpa = 14.70 psi. = 0.446 atm. = 0.993 atm. = 107 kpa 760 torr 1 atm 760 mm Hg = 790.

7. 1.00 atm = 760 torr = 760 mm Hg = 101.325 kpa = 14.70 psi. = 0.446 atm. = 0.993 atm. = 107 kpa 760 torr 1 atm 760 mm Hg = 790. CHATER 3. The atmosphere is a homogeneous mixture (a solution) of gases.. Solids and liquids have essentially fixed volumes and are not able to be compressed easily. have volumes that depend on their conditions,

More information

POLLUTED EMISSION TREATMENTS FROM INCINERATOR GASES

POLLUTED EMISSION TREATMENTS FROM INCINERATOR GASES POLLUTED EMISSION TREATMENTS FROM INCINERATOR GASES Ecole Nationale Supérieure de Chimie Avenue du Général Leclerc, Campus de Beaulieu 35700 Rennes, France Tel 33 (0)2 23 23 80 02 Fax 33 (0)2 23 23 81

More information

Simulation and Nonlinear Analysis of the Stagnant Polymer Layer in a LDPE Tubular Reactor

Simulation and Nonlinear Analysis of the Stagnant Polymer Layer in a LDPE Tubular Reactor Ian David Lockhart Bogle and Michael Fairweather (Editors), Proceedings of the 22nd European Symposium on Computer Aided Process Engineering, 17-20 June 2012, London. 2012 Elsevier B.V. All rights reserved

More information

Dimensional Analysis

Dimensional Analysis Dimensional Analysis An Important Example from Fluid Mechanics: Viscous Shear Forces V d t / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / / Ƭ = F/A = μ V/d More generally, the viscous

More information

Simulation of Fluid-Structure Interactions in Aeronautical Applications

Simulation of Fluid-Structure Interactions in Aeronautical Applications Simulation of Fluid-Structure Interactions in Aeronautical Applications Martin Kuntz Jorge Carregal Ferreira ANSYS Germany D-83624 Otterfing Martin.Kuntz@ansys.com December 2003 3 rd FENET Annual Industry

More information

CFD Application on Food Industry; Energy Saving on the Bread Oven

CFD Application on Food Industry; Energy Saving on the Bread Oven Middle-East Journal of Scientific Research 13 (8): 1095-1100, 2013 ISSN 1990-9233 IDOSI Publications, 2013 DOI: 10.5829/idosi.mejsr.2013.13.8.548 CFD Application on Food Industry; Energy Saving on the

More information

Safety issues of hydrogen in vehicles Frano Barbir Energy Partners 1501 Northpoint Pkwy, #102 West Palm Beach, FL 33407, U.S.A.

Safety issues of hydrogen in vehicles Frano Barbir Energy Partners 1501 Northpoint Pkwy, #102 West Palm Beach, FL 33407, U.S.A. Safety issues of hydrogen in vehicles Frano Barbir Energy Partners 1501 Northpoint Pkwy, #102 West Palm Beach, FL 33407, U.S.A. Properties of hydrogen Hydrogen is an odorless, colorless gas. With molecular

More information

Set up and solve a transient problem using the pressure-based solver and VOF model.

Set up and solve a transient problem using the pressure-based solver and VOF model. Tutorial 18. Using the VOF Model This tutorial was run using ANSYS FLUENT 12.1. The results have been updated to reflect the change in the default setting of node-based smoothing for the surface tension

More information

Chemical Engineering - CHEN

Chemical Engineering - CHEN Auburn University 1 Chemical Engineering - CHEN Courses CHEN 2100 PRINCIPLES OF CHEMICAL ENGINEERING (4) LEC. 3. LAB. 3. Pr. (CHEM 1110 or CHEM 1117 or CHEM 1030) and (MATH 1610 or MATH 1613 or MATH 1617

More information

CE 204 FLUID MECHANICS

CE 204 FLUID MECHANICS CE 204 FLUID MECHANICS Onur AKAY Assistant Professor Okan University Department of Civil Engineering Akfırat Campus 34959 Tuzla-Istanbul/TURKEY Phone: +90-216-677-1630 ext.1974 Fax: +90-216-677-1486 E-mail:

More information

Dynamic Process Modeling. Process Dynamics and Control

Dynamic Process Modeling. Process Dynamics and Control Dynamic Process Modeling Process Dynamics and Control 1 Description of process dynamics Classes of models What do we need for control? Modeling for control Mechanical Systems Modeling Electrical circuits

More information

Improved fluid control by proper non-newtonian flow modeling

Improved fluid control by proper non-newtonian flow modeling Tekna Flow Assurance 2015, Larvik Improved fluid control by proper non-newtonian flow modeling Stein Tore Johansen, SINTEF Sjur Mo, SINTEF A general wall friction model for a non-newtonian fluid has been

More information

Energy Transport. Focus on heat transfer. Heat Transfer Mechanisms: Conduction Radiation Convection (mass movement of fluids)

Energy Transport. Focus on heat transfer. Heat Transfer Mechanisms: Conduction Radiation Convection (mass movement of fluids) Energy Transport Focus on heat transfer Heat Transfer Mechanisms: Conduction Radiation Convection (mass movement of fluids) Conduction Conduction heat transfer occurs only when there is physical contact

More information

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

Heterogeneous Catalysis and Catalytic Processes Prof. K. K. Pant Department of Chemical Engineering Indian Institute of Technology, Delhi Heterogeneous Catalysis and Catalytic Processes Prof. K. K. Pant Department of Chemical Engineering Indian Institute of Technology, Delhi Module - 03 Lecture 10 Good morning. In my last lecture, I was

More information

Eco Pelmet Modelling and Assessment. CFD Based Study. Report Number 610.14351-R1D1. 13 January 2015

Eco Pelmet Modelling and Assessment. CFD Based Study. Report Number 610.14351-R1D1. 13 January 2015 EcoPelmet Pty Ltd c/- Geoff Hesford Engineering 45 Market Street FREMANTLE WA 6160 Version: Page 2 PREPARED BY: ABN 29 001 584 612 2 Lincoln Street Lane Cove NSW 2066 Australia (PO Box 176 Lane Cove NSW

More information

Lecture 16 - Free Surface Flows. Applied Computational Fluid Dynamics

Lecture 16 - Free Surface Flows. Applied Computational Fluid Dynamics Lecture 16 - Free Surface Flows Applied Computational Fluid Dynamics Instructor: André Bakker http://www.bakker.org André Bakker (2002-2006) Fluent Inc. (2002) 1 Example: spinning bowl Example: flow in

More information

COMPUTATIONAL FLOW MODEL OF WESTFALL'S 4000 OPEN CHANNEL MIXER 411527-1R1. By Kimbal A. Hall, PE. Submitted to: WESTFALL MANUFACTURING COMPANY

COMPUTATIONAL FLOW MODEL OF WESTFALL'S 4000 OPEN CHANNEL MIXER 411527-1R1. By Kimbal A. Hall, PE. Submitted to: WESTFALL MANUFACTURING COMPANY COMPUTATIONAL FLOW MODEL OF WESTFALL'S 4000 OPEN CHANNEL MIXER 411527-1R1 By Kimbal A. Hall, PE Submitted to: WESTFALL MANUFACTURING COMPANY FEBRUARY 2012 ALDEN RESEARCH LABORATORY, INC. 30 Shrewsbury

More information

191: Calibration and Standards in Flow Measurement. Richard Paton National Engineering Laboratory, Scotland, UK 1 GENERAL PRINCIPLES

191: Calibration and Standards in Flow Measurement. Richard Paton National Engineering Laboratory, Scotland, UK 1 GENERAL PRINCIPLES 191: Calibration and Standards in Measurement Richard Paton National Engineering Laboratory, Scotland, UK 1 General Principles 1 2 Gravimetric Calibration of Liquid meters 2 3 Volumetric Calibration of

More information

Supporting document to NORSOK Standard C-004, Edition 2, May 2013, Section 5.4 Hot air flow

Supporting document to NORSOK Standard C-004, Edition 2, May 2013, Section 5.4 Hot air flow 1 of 9 Supporting document to NORSOK Standard C-004, Edition 2, May 2013, Section 5.4 Hot air flow A method utilizing Computational Fluid Dynamics (CFD) codes for determination of acceptable risk level

More information

CFD software overview comparison, limitations and user interfaces

CFD software overview comparison, limitations and user interfaces CFD software overview comparison, limitations and user interfaces Daniel Legendre Introduction to CFD Turku, 05.05.2015 Åbo Akademi University Thermal and Flow Engineering Laboratory 05.05.2015 1 Some

More information

Harvard wet deposition scheme for GMI

Harvard wet deposition scheme for GMI 1 Harvard wet deposition scheme for GMI by D.J. Jacob, H. Liu,.Mari, and R.M. Yantosca Harvard University Atmospheric hemistry Modeling Group Februrary 2000 revised: March 2000 (with many useful comments

More information

Diesel injection, ignition, and fuel air mixing

Diesel injection, ignition, and fuel air mixing Diesel injection, ignition, and fuel air mixing 1. Fuel spray phenomena. Spontaneous ignition 3. Effects of fuel jet and charge motion on mixingcontrolled combustion 4. Fuel injection hardware 5. Challenges

More information

Steady Heat Conduction

Steady Heat Conduction Steady Heat Conduction In thermodynamics, we considered the amount of heat transfer as a system undergoes a process from one equilibrium state to another. hermodynamics gives no indication of how long

More information

OUTCOME 3 TUTORIAL 5 DIMENSIONAL ANALYSIS

OUTCOME 3 TUTORIAL 5 DIMENSIONAL ANALYSIS Unit 41: Fluid Mechanics Unit code: T/601/1445 QCF Level: 4 Credit value: 15 OUTCOME 3 TUTORIAL 5 DIMENSIONAL ANALYSIS 3 Be able to determine the behavioural characteristics and parameters of real fluid

More information

MCQ - ENERGY and CLIMATE

MCQ - ENERGY and CLIMATE 1 MCQ - ENERGY and CLIMATE 1. The volume of a given mass of water at a temperature of T 1 is V 1. The volume increases to V 2 at temperature T 2. The coefficient of volume expansion of water may be calculated

More information

FLUID DYNAMICS. Intrinsic properties of fluids. Fluids behavior under various conditions

FLUID DYNAMICS. Intrinsic properties of fluids. Fluids behavior under various conditions FLUID DYNAMICS Intrinsic properties of fluids Fluids behavior under various conditions Methods by which we can manipulate and utilize the fluids to produce desired results TYPES OF FLUID FLOW Laminar or

More information

CFD ANALYSIS OF CONTROLLABLE PITCH PROPELLER USED IN MARINE VEHICLE

CFD ANALYSIS OF CONTROLLABLE PITCH PROPELLER USED IN MARINE VEHICLE CFD ANALYSIS OF CONROLLABLE PICH PROPELLER USED IN MARINE VEHICLE Aditya Kolakoti 1,.V.K.Bhanuprakash 2 & H.N.Das 3 1 M.E in Marine Engineering And Mechanical Handling, Dept of Marine Engineering, Andhra

More information

ACETYLENE AIR DIFFUSION FLAME COMPUTATIONS; COMPARISON OF STATE RELATIONS VERSUS FINITE RATE KINETICS

ACETYLENE AIR DIFFUSION FLAME COMPUTATIONS; COMPARISON OF STATE RELATIONS VERSUS FINITE RATE KINETICS ACETYLENE AIR DIFFUSION FLAME COMPUTATIONS; COMPARISON OF STATE RELATIONS VERSUS FINITE RATE KINETICS by Z Zhang and OA Ezekoye Department of Mechanical Engineering The University of Texas at Austin Austin,

More information