Louisiana Tech University Ruston, LA 71272 Slide 1 Mass Transport & Boundary Layers Steven A. Jones BIEN 501 Friday, May 2, 2008.

Slides:



Advertisements
Similar presentations
Louisiana Tech University Ruston, LA Slide 1 Co-Current and Counter-Current Exchange in Dialysis Steven A. Jones BIEN 501 Monday, May 5, 2008.
Advertisements

Louisiana Tech University Ruston, LA Slide 1 Energy Balance Steven A. Jones BIEN 501 Wednesday, April 18, 2008.
HW/Tutorial Week #10 WWWR Chapters 27, ID Chapter 14 Tutorial #10 WWWR # 27.6 & To be discussed on March 31, By either volunteer or class list.
Physics 7B Lecture 427-Jan-2010 Slide 1 of 23 Physics 7B-1 (A/B) Professor Cebra Review of Linear Transport Model and Exponential Change Model Winter 2010.
Louisiana Tech University Ruston, LA Slide 1 Krogh Cylinder Steven A. Jones BIEN 501 Friday, April 20, 2007.
Louisiana Tech University Ruston, LA Slide 1 Final Exam Topics Steven A. Jones BIEN 501 Monday, May 12, 2008.
Louisiana Tech University Ruston, LA Slide 1 Time Averaging Steven A. Jones BIEN 501 Monday, April 14, 2008.
Dept of Chemical and Biomolecular Engineering CN2125E Heat and Mass Transfer Dr. Tong Yen Wah, E , (Mass Transfer, Radiation)
Chapter 13 MIMs - Mobile Immobile Models. Consider the Following Case You have two connected domains that can exchange mass
EE-2027 SaS 06-07, L11 1/12 Lecture 11: Fourier Transform Properties and Examples 3. Basis functions (3 lectures): Concept of basis function. Fourier series.
EE-2027 SaS, L13 1/13 Lecture 13: Inverse Laplace Transform 5 Laplace transform (3 lectures): Laplace transform as Fourier transform with convergence factor.
Ch 7.9: Nonhomogeneous Linear Systems
Transfer Functions Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: The following terminology.
Ch 6.2: Solution of Initial Value Problems
An Introduction to Heat Flow
Section 9.1 The Square Root Property Section 9.2 The Quadratic Formula.
Multiplying, Dividing, and Simplifying Radicals
Numerical Methods for Partial Differential Equations CAAM 452 Spring 2005 Lecture 9 Instructor: Tim Warburton.
Homework Answers (1-2 Worksheet)
EXAMPLE 5 Write a joint variation equation The variable z varies jointly with x and y. Also, z = –75 when x = 3 and y = –5. Write an equation that relates.
CHAPTER 8 APPROXIMATE SOLUTIONS THE INTEGRAL METHOD
Chapter 4 The Fourier Transform EE 207 Dr. Adil Balghonaim.
In this section we will introduce a new concept which is the logarithm
If m and n are positive integers and a and b are real numbers (b0 when it is a denominator), then: Let’s review some properties of exponents where the.
Louisiana Tech University Ruston, LA Slide 1 Mass Transport Steven A. Jones BIEN 501 Friday, April 13, 2007.
CHE/ME 109 Heat Transfer in Electronics LECTURE 5 – GENERAL HEAT CONDUCTION EQUATION.
Rewrite With Fractional Exponents. Rewrite with fractional exponent:
Louisiana Tech University Ruston, LA Slide 1 The Rectangular Channel Steven A. Jones BIEN 501 Friday, April 4th, 2008.
CHAPTER 7 NON-LINEAR CONDUCTION PROBLEMS
Louisiana Tech University Ruston, LA Slide 1 Krogh Cylinder Steven A. Jones BIEN 501 Wednesday, May 7, 2008.
MATRICES AND DETERMINANTS
Scientific Computing Partial Differential Equations Introduction and
Louisiana Tech University Ruston, LA Lubrication/Thin Film & Peristaltic Flows Juan M. Lopez Lecture 10 BIEN 501 Wednesday, March 28, 2007.
6.1 n th Roots and Rational Exponents What you should learn: Goal1 Goal2 Evaluate nth roots of real numbers using both radical notation and rational exponent.
Louisiana Tech University Ruston, LA Momentum Balance Steven A. Jones BIEN 501/CMEN 513 Monday, March 19, 2007.
Chapter MIMs - Mobile Immobile Models Diffusive Mobile Regions.
Lecture 16 Solving the Laplace equation in 2-D Remember Phils Problems and your notes = everything Only 6 lectures.
Multiplying & Dividing Real Numbers MATH 018 Combined Algebra S. Rook.
Louisiana Tech University Ruston, LA Slide 1 Compartmental Models Juan M. Lopez BIEN 501 Friday, May 09, 2008.
Sturm-Liouville Cylinder
Mass Transfer Coefficient
CEE 262A H YDRODYNAMICS Lecture 15 Unsteady solutions to the Navier-Stokes equation.
Equation of Continuity II. Summary of Equations of Change.
Section 8.5 – Partial Fractions. White Board Challenge Find a common denominator:
Modeling Chemical Systems BIOE Chemical Systems Every physiologic systems depends on multiple chemical reactions Examples include hormone-receptor.
Louisiana Tech University Ruston, LA Slide 1 Review Steven A. Jones BIEN 501 Friday, May 14, 2007.
FREE CONVECTION 7.1 Introduction Solar collectors Pipes Ducts Electronic packages Walls and windows 7.2 Features and Parameters of Free Convection (1)
Louisiana Tech University Ruston, LA Boundary Layer Theory Steven A. Jones BIEN 501 Friday, April
Dear Power point User, This power point will be best viewed as a slideshow. At the top of the page click on slideshow, then click from the beginning.
Discretization Methods Chapter 2. Training Manual May 15, 2001 Inventory # Discretization Methods Topics Equations and The Goal Brief overview.
Solving Radical Inequalities. Solving radical inequalities is similar to solving rational equations, but there is one extra step since we must make sure.
EE 207 Dr. Adil Balghonaim Chapter 4 The Fourier Transform.
© meg/aol ‘02 Solutions To The Linear Diffusion Equation Martin Eden Glicksman Afina Lupulescu Rensselaer Polytechnic Institute Troy, NY, USA.
Differential Analysis of Fluid Flow. Navier-Stokes equations Example: incompressible Navier-Stokes equations.
Canonical Equations of Motion -- Hamiltonian Dynamics
ERT 210/4 Process Control & Dynamics DYNAMIC BEHAVIOR OF PROCESSES :
Louisiana Tech University Ruston, LA Flows With More Than One Dependent Variable - 2D Example Juan M. Lopez Steven A. Jones BIEN 501 Wednesday, April.
Rewrite With Fractional Exponents. Rewrite with fractional exponent:
Ch 6.2: Solution of Initial Value Problems The Laplace transform is named for the French mathematician Laplace, who studied this transform in The.
Math for CS Fourier Transforms
CHAPTER 6 Introduction to convection
Transfer Functions Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: The following terminology.
Lecture 18 3D Cartesian Systems
INTRODUCTION : Convection: Heat transfer between a solid surface and a moving fluid is governed by the Newton’s cooling law: q = hA(Ts-Tɷ), where Ts is.
Tutorial/HW Week #8 WRF Chapter 23; WWWR Chapters ID Chapter 14
Peristaltic Pumping Steven A. Jones BIEN 501 Friday, April 18, 2008
Deposition and Removal
Unsteady Diffusion into a Sphere
LAPLACE TRANSFORMATION
Presentation transcript:

Louisiana Tech University Ruston, LA Slide 1 Mass Transport & Boundary Layers Steven A. Jones BIEN 501 Friday, May 2, 2008

Louisiana Tech University Ruston, LA Slide 2 Mass Transport Major Learning Objectives: 1.Describe combined diffusion and convection.

Louisiana Tech University Ruston, LA Slide 3 Mass Transport Minor Learning Objectives: 1.Present the mass transfer equations with convection.

Louisiana Tech University Ruston, LA Slide 4 A Motivating Example For the NO synthesis response, consider a layer of endothelial cells. These cells will be subjected to convection by the flow of blood. NO x z

Louisiana Tech University Ruston, LA Slide 5 A Motivating Example A simplified diagram of the initial and boundary conditions is as follows: x z

Louisiana Tech University Ruston, LA Slide 6 Partial Differential Equation The partial differential equation governing combined diffusion and convection is:

Louisiana Tech University Ruston, LA Slide 7 Comment on Example However, the example in section uses a constant concentration boundary condition and the example described in class uses a constant flux boundary condition. NO 1 st order reaction Constant Concentration

Louisiana Tech University Ruston, LA Slide 8 Comment on Example Compare the form of the solutions. Constant flux: Constant concentration:

Louisiana Tech University Ruston, LA Slide 9 Comment on Example Slattery rewrites the solution as: Question 1: Why is this form “More Useful?”

Louisiana Tech University Ruston, LA Slide 10 Comment on Example Slattery rewrites the solution as: Question 1: Why is this form “More Useful?” Answer: The complementary error function (erfc) is a tabulated function. Most software, like MatLab, has a subroutine already available to calculate. Numerical integration is not necessary.

Louisiana Tech University Ruston, LA Slide 11 Comment on Example Slattery rewrites the solution as: Question 2: The constant flux solution is similar in form, is it possible to write it in terms of the complementary error function?

Louisiana Tech University Ruston, LA Slide 12 Comment on Example Slattery rewrites the solution as: Question 2: The constant flux solution is similar in form, is it possible to write it in terms of the complementary error function? Answer: I don’t know, but I suspect it is, and if you work it out and give me the answer I will have something good to say if I write a letter of recommendation for you.

Louisiana Tech University Ruston, LA Slide 13 Platelet Synthesis Response NO is synthesized by platelets and released continuously, as in the previous example. NO 1 st order reaction Constant Flux

Louisiana Tech University Ruston, LA Slide 14 Platelet Synthesis Response OK. I’ll admit that nothing happens continuously in physiology. The point is that NO release is “relatively” constant. NO Flux Time (minutes) 0123 Delay Activation

Louisiana Tech University Ruston, LA Slide 15 Platelet Release Response In contrast, compounds like ADP and serotonin (5-HT) are stored in platelet granules and released “instantaneously” upon activation. No Reaction Zero Flux

Louisiana Tech University Ruston, LA Slide 16 Platelet Release Response In contrast, compounds like ADP and serotonin (5-HT) are stored in platelet granules and released “instantaneously” upon activation. How will concentrations differ from the synthesis response? Zero Flux

Louisiana Tech University Ruston, LA Slide 17 Synthesis/Release Comparison ConditionSynthesis (NO)Release (ADP) At the surfaceConstant FluxZero Flux At infinityInitially Zero Initial Condition ReactionPseudo 1 st orderNone

Louisiana Tech University Ruston, LA Slide 18 Conservation of Mass Rate of increase Conservation of Mass: Diffusive transport

Louisiana Tech University Ruston, LA Slide 19 Transformed Governing Equation Use the Fourier transform to transform the spatial variable in the governing equations and boundary conditions. The governing PDE transforms from: To: Or:

Louisiana Tech University Ruston, LA Slide 20 Solution to Transformed Equation With: Because:

Louisiana Tech University Ruston, LA Slide 21 Transformed BC’s 2.The concentration must go to zero for large values of z. 3.All of the mass is initially concentrated at the wall. Where we recall that: 1

Louisiana Tech University Ruston, LA Slide 22 Evaluation of C From the general solution: And the transformed boundary condition at the surface: We have: So:

Louisiana Tech University Ruston, LA Slide 23 Invert the Fourier Transform The inverse Fourier transform is: Which simplifies to:

Louisiana Tech University Ruston, LA Slide 24 Invert the Fourier Transform Yeah, ok, the “simplification” looks more complicated than the original equation. The point is that the “simplified” version has that error function look to it. e to the something squared.

Louisiana Tech University Ruston, LA Slide 25 Invert the Fourier Transform The trick is to complete the square in the exponent:

Louisiana Tech University Ruston, LA Slide 26 Invert the Laplace Transform Now apply the transformation: To: And get:

Louisiana Tech University Ruston, LA Slide 27 Agonist Release Model Therefore the solution to the agonist release model is:

Louisiana Tech University Ruston, LA Slide 28 Example Concentration Profiles Increasing time 10 s 0.1 s

Louisiana Tech University Ruston, LA Slide 29 NO Concentration Profiles Increasing time 5 s