CHEM-E7130 Process Modeling Lecture 5

Slides:



Advertisements
Similar presentations
Diffusion (continued)
Advertisements

Diffusion Mass Transfer
Modelling & Simulation of Chemical Engineering Systems
Lecture 15: Capillary motion
Louisiana Tech University Ruston, LA Slide 1 Energy Balance Steven A. Jones BIEN 501 Wednesday, April 18, 2008.
Chapter 2 Introduction to Heat Transfer
ERT 313/4 BIOSEPARATION ENGINEERING MASS TRANSFER & ITS APPLICATIONS
Introduction to Mass Transfer
Chemistry 232 Transport Properties.
Equation of Continuity. differential control volume:
Ch 7.9: Nonhomogeneous Linear Systems
CHAPTER 8 APPROXIMATE SOLUTIONS THE INTEGRAL METHOD
Diffusion Mass Transfer
Louisiana Tech University Ruston, LA Slide 1 Mass Transport Steven A. Jones BIEN 501 Friday, April 13, 2007.
* Reading Assignments:
Bioseparation Dr. Kamal E. M. Elkahlout Chapter 3 Mass transfer.
BsysE595 Lecture Basic modeling approaches for engineering systems – Summary and Review Shulin Chen January 10, 2013.
Mass Transfer Coefficient
1 Combined Heat and Mass Transfer Model in Amines System Xiao Luo and Hallvard F. Svendsen Norwegian University of Science and Technology (NTNU) Trondheim,
Introduction 1. Similarity 1.1. Mechanism and mathematical description 1.2. Generalized variables 1.3. Qualitative analysis 1.4. Generalized individual.
Solution of a System of ODEs with POLYMATH and MATLAB, Boundary Value Iterations with MATLAB For a system of n simultaneous first-order ODEs: where x is.
The Simplest Phase Equilibrium Examples and Some Simple Estimating Rules Chapter 3.
Chapter 8: The Thermodynamics of Multicomponent Mixtures
HEAT TRANSFER FINITE ELEMENT FORMULATION
Ch 24 pages Lecture 11 – Equilibrium centrifugation.
Chemistry 232 Transport Properties. Definitions Transport property. The ability of a substance to transport matter, energy, or some other property along.
© 2016 Carl Lund, all rights reserved A First Course on Kinetics and Reaction Engineering Class 38.
1 CHEM-E7130 Process Modeling Exercise Multicomponent mass transfer.
Heterogeneous Catalysis: Kinetics in Porous Catalyst Particles
CHEM-E7130 Process Modeling Lecture 6
Mass Transfer transport of one constituent from a region of higher concentration to that of a lower concentration.
MAE 5310: COMBUSTION FUNDAMENTALS
TATVA INSTITUTES OF TECHNOLOGICAL STUDIES, MODASA
Chapter 4 Fluid Mechanics Frank White
HW/Tutorial # 1 WRF Chapters 14-15; WWWR Chapters ID Chapters 1-2
ME 475/675 Introduction to Combustion
General form of conservation equations
Solution of Thermodynamics: Theory and applications
COMBUSTION TA : Donggi Lee PROF. SEUNG WOOK BAEK
Nodal Methods for Core Neutron Diffusion Calculations
Chemical Reaction Engineering (CRE) is the field that studies the rates and mechanisms of chemical reactions and the design of the reactors in which.
Extended Surface Heat Transfer
Diffusion Mass Transfer
A First Course on Kinetics and Reaction Engineering
thermal conductivity of a gas
A First Course on Kinetics and Reaction Engineering
Heat Transfer Ana Galvao, Julie Kessler, Luke O’Malley, Matteo Ricci & Jessica Young “L JJAM” aka “Dream Team” aka Team 3 CHBE446 02/02/18 Aka “Haha. A.
Quinnipiac University
Dimensional Analysis in Mass Transfer
Quinnipiac University
COMBUSTION TA : Donggi Lee PROF. SEUNG WOOK BAEK
Diffusion of gases A and B Plus Convection
Quinnipiac University
Quinnipiac University
Objective Numerical methods Finite volume.
Introduction: A review on static electric and magnetic fields
Quinnipiac University
COMBUSTION TA : Donggi Lee PROF. SEUNG WOOK BAEK
Quinnipiac University
Quinnipiac University
Lecture Presentation Chapter 10 Gases.
Quinnipiac University
Quinnipiac University
Chapter 21: Molecules in motion
Convective Heat Transfer
Quinnipiac University
Chemical Engineering Department
Asst. Prof. Dr. Hayder Mohammad Jaffal
COMBUSTION ENGINEERING
Presentation transcript:

CHEM-E7130 Process Modeling Lecture 5

Lecture 5 outline When accurate mass transfer models should be used? Origins of diffusion from molecular collisions (Maxwell-Stefan formulation) including non-conventional driving forces Matrices, basic operations and matrix functions Solution of diffusion model with boundary conditions (film model)

Various degrees of modeling rigour can be used depending on the relative importance When mass transfer is of less importance, a simple model is sufficient How does concentration vary as a function of time? k is a “relaxation parameter”, determining how rapidly equilibrium is approached. It has also a physical meaning. What is it?

One of the most important things to understand is the order of the process Mass transfer is (approximately) a first order process → exponential “decay” towards equilibrium spot an error in the equation!

This level is reasonable in preliminary analysis and estimation Why to use more complicated models? Specify control volume for material balances correctly Mechanistic model for mass transfer coefficient and driving forces (extrapolation!) Understanding the physics of diffusion

For mass transfer rate, a model is needed for mass transfer flux and mass transfer area. mol/s Flux mol/m2s Area m2 Only calculation of mass transfer flux, N, is considered in this lecture. A can be obtained from geometry correlations population balances

Mass transfer flux Mass transfer flux needed in the material balances Diffusion flux, movement with respect to average molar velocity Convection (advection), flow with respect to the control volume boundary Nt is the total flux (sum of all fluxes)

Fick’s law (diffusion model) Here it is simply assumed that there is a linear response (flux) when composition gradients are present. The proportionality coefficient is the diffusion coefficient. What is the difference in the two forms above? When they are equivalent?

Mass transfer with diffusion and convection, example Liquid A is evaporating in a tube. Air flushes component A away from the top of the tube. Air does not dissolve in liquid A Why? What? At the liquid surface, partial pressure of A is its vapor pressure

Evaporation in tube, example Mass transfer flux diffusion convection What is the expression for flux (solve NA)? a) b) d) c) Tips: assume NA, c and D as constants. Out of these NA is unknown (to be solved). Flux NA schetced in the figure would be negative. This is a separable 1st order differential equation

Evaporation in tube, example

Evaporation in tube, example ct and D assumed constants So answer b was correct. Actually c is the same result. You can also pick the correct solution by deducing

Problems in the Fick’s law (diffusion model) Is diffusion coefficient a component property? Which things affect its numerical value? Diffusion coefficient is not a property of a single component. In the Fick’s law, it depends on the concentrations of other components, and for systems containing more than 2 components, also driving forces. In addition, T, p…

Maxwell-Stefan diffusion model more fundamental than Fick’s law The sum of the forces acting on a system The rate of change of linear momentum of the system  Average amount of momentum exchanged in a single collision Number of collisions of molecules of type i per unit volume The rate of change of linear momentum of the molecules of type i per unit volume = x What are the variables that affect on these?

Maxwell-Stefan diffusion model Number of collisions of molecules of type i and j per unit volume  xixj Also velocity, density, and cross-sectional (collision) area affect Average amount of momentum exchanged in a single collision =

After some manipulation… Dimensionless driving force, e.g. mole fraction gradient in ideal gases We need fluxes, and typically mole fractions are known. Either they are guessed and fluxes are used to check the material balance or they are known from the previous time step and fluxes are calculated for the source term for time rate of change. Driving force can be calculated from the state variables and other known system properties (electric field, pressure differences, centrifugal forces etc) This is the Maxwell-Stefan diffusion equation in a classical form What do we need for the material balance and what is typically known (from the state variables)?

Matrices Matrices are ”table of numbers” with certain mathematical operations. Matrices are linear operators. row number column number Matrix multiplication

Example: Parameters for a quadratic polynomial y’s are known at three points of x: (x1, y1), (x2, y2), (x3, y3) Is this a system of linear equations, i.e. can matrices be used? How would the matrix formulation look like?

Parameters for a quadratic polynomial Write in a matrix form And solve (efficient algorithms exist for matrix inversion) Least squares solution, if more measurements than parameters

Maxwell-Stefan diffusion model in matrix form 

Composing M-S diffusion matrix Elements of the B matrix (size (n-1)(n-1))

Calculating the fluxes driving force diffusion ”friction” diffusion coefficient driving force mass transfer diffusion convection

Matrices again Or This looks familiar component index whose flux is considered component index for driving force contribution Or

Matrices again Component 1 flux, diffusion coefficient and gradient Cross-coefficients; effect of other gradients

Special phenomena in multicomponent systems J -x Ideal two-component system

Special phenomena in multicomponent systems Ji Osmotic diffusion 3 or more components Normal diffusion Diffusion barrier -x Normal diffusion Reverse diffusion What happens in the green triangle?

Other driving forces Starting from irreversible thermodynamics, the following generalized driving force can be derived driving force chemical potential Total pressure gradient external force (electric field etc.) For example, ultrasentrifuge. What is it? It causes a strong pressure gradient, that separates dense molecules from less dense (e.g. separation of uranium isotopes)

Let’s go back to ”easy” systems, 2 ideal components Continuity equation (differential material balance) mass transfer diffusion convection What to do with this in practical process modeling problems where we want to calculate mass transfer, e.g. between two phases?

Film theory Assume one-dimensional mass transfer without reaction. Interface is in equilibrium Fluid phase Equilibrium at the interface Other fluid or solid phase Discuss with your friend what happens near the interface. How to deal with two films (on two sides), and how would the mole fraction profiles look like?

Film theory Steady state, one dimension, only two components xI Boundary conditions l xb

Stationary diffusion without convection Steady state, one dimension, two components Solution with film model boundary conditions Diffusion

Stationary diffusion without convection Mass transfer coefficient

Stationary diffusion with convection Steady state, one dimension, two components Can be easily solved for mole fraction profiles with film model boundary conditions. dx/dz inserted into Fick’s law ”High flux correction” Diffusion flux

Multicomponent formulation (linearized theory) Easy: Just add brackets!

Matrix functions When multicomponent diffusion models are solved in various practical cases, matrix functions are needed For example high flux corrections or mass transfer coefficient correlations:

Matrix functions In general, matrix functions can be calculated with similarity transformation Eigenvectors full matrix Eigenvalues diagonal matrix Matlab: [P,Lambda] = eig(X)

Matrix functions Matlab: Y = expm(X) Also series expansions can be used. For example Matlab: Y = expm(X)

Solution of a two-film model with rigorous Maxwell-Stefan model Given: bulk compositions thermodynamic properties (equilibrium model, diffusion coefficients, etc.) Unknown: mole fractions at the interface, total flux Nt

Solution of a two-film model mass transfer direction 1. Guess interfacial compositions xI and total flux Nt xb yI=KxI xI yb 2. calculate gas phase interfacial compositions 3. calculate mass transfer rate factor for both phases

Solution of a two-film model mass transfer direction xb yI=KxI 4. calculate diffusion fluxes xI yb 5. and mass transfer fluxes

Solution of a two-film model mass transfer direction xb yI=KxI n-1 independent equations xI yb 1 equation n+1 unknowns and n+1 equations! 1 equation

Some common assumptions Linearized mass transfer theory was already used (constant D and ct) K values and [D] are calculated with bulk compositions Fluid nonidealities neglected in driving force Mass transfer coefficient matrix from binary coefficients, or by matrix approximations

Summary Mass transfer is a process of approaching chemical equilibrium A simple, ”engineering”, interpretation to mass transfer coefficient is the speed of approach to equilibrium Maxwell-Stefan equations are based on conservation of momentum

Summary In multicomponent systems, components can diffuse against their gradients due to interactions with other components Generally, solution of multicomponent mass transfer models requires matrix function calculations Film theory provides boundary conditions for practical mass transfer flux calculations