Modeling of a centrifuge experiment: the Lamm equations
|
|
- Rodney Jackson
- 5 years ago
- Views:
Transcription
1 Modeling of a centrifuge experiment: the Lamm equations O. Gonzalez and J. Li UT-Austin 29 October 2008
2 Problem statement
3 Setup Consider an experiment in which a 2-component solution (solute + solvent) is separated in a centrifuge. rotor h spin ω cell air r a solute + solvent r b elapsed time air solvent solute t = 0 (cloudy mixture) t >> 0 (separated mixture)
4 Goals Derive model for concentration of solute particles. Use model to estimate shape from concentration data. Begin with simple case of spherical particles. Generalize to particles of arbitrary shape.
5 Simplifying assumptions
6 Assumption 1 In a coord system attached to and rotating with the rotor, assume: (time-averaged) velocity v of a solute particle due to centrifugal force is small and in radial direction, solvent is macroscopically stationary. rotor solute particle solvent v
7 Assumption 2 Assume solute concentration ρ and velocity v depend only on radial coordinate r and time t. z φ h (r, θ,z) ρ = ρ(r, t), v = v(r, t). x y h << 1 φ << 1
8 Assumption 3 Assume particles are spherical and independent, with velocity proportional to centrifugal force (Stokes law). ω solute particle v r solvent f γ, m γ = radius, m = bouyant mass µ = viscosity, T = abs temperature v µ, T v = f 6πγµ, f = m ω 2 r = v = Sω 2 r, S = m 6πγµ.
9 Assumption 4 Assume mass flux J of solute particles across radial surface at r can be decomposed into two parts (diffusion + convection). r J J(r, t) = D ρ + ρv [ Mass Area Time ]. For spherical particles in a fluid D = kt 6πγµ (Stokes-Einstein).
10 Governing equations
11 Setup Consider the region R between two radial surfaces Ω r0 where r 0 < r 1 are arbitrary. and Ω r1 φ Ω r 0 h ra R r0 r1 Ωr 1 rb
12 Conservation of mass For the region R we have ( ) mass of solute t inside of R = ( ) mass flow in to R ( ) mass flow out of R
13 Conservation of mass For the region R we have ( ) mass of solute t inside of R = ( ) mass flow in to R ( ) mass flow out of R r1 t r 0 ρ(r, t) Area(Ω r ) dr = J(r 0, t) Area(Ω r0 ) J(r 1, t) Area(Ω r1 )
14 Conservation of mass For the region R we have ( ) mass of solute t inside of R = ( ) mass flow in to R ( ) mass flow out of R r1 t r 0 ρ(r, t) Area(Ω r ) dr = J(r 0, t) Area(Ω r0 ) J(r 1, t) Area(Ω r1 ) r1 t r 0 ρ(r, t) Area(Ω r ) dr = r 1 r 0 [ ] J(r, t) Area(Ω r ) dr.
15 Conservation of mass For the region R we have ( ) mass of solute t inside of R = ( ) mass flow in to R ( ) mass flow out of R r1 t r 0 ρ(r, t) Area(Ω r ) dr = J(r 0, t) Area(Ω r0 ) J(r 1, t) Area(Ω r1 ) r1 t r 0 ρ(r, t) Area(Ω r ) dr = r 1 r 0 [ ] J(r, t) Area(Ω r ) dr. Substituting Area(Ω r ) = hφr and rearranging gives r1 [ hφr ρ t + ( hφrj) ] dr = 0, r 0 < r 1. r 0
16 Localization Assuming the integrand is continuous, we deduce by the arbitrariness of r 0 and r 1 φhr ρ t + ( ) φhrj = 0, r a < r < r b.
17 Localization Assuming the integrand is continuous, we deduce by the arbitrariness of r 0 and r 1 φhr ρ t + ( ) φhrj = 0, r a < r < r b. Substituting J = D ρ + ρv and v = Sω2 r gives, after cancelling factors ρ t + 1 r ( Sω 2 r 2 ρ rd ρ ) = 0, r a < r < r b.
18 Boundary conditions Solute particles cannot cross surfaces at r a and r b. air r a solute + solvent rb J(r, t) = D ρ + ρv = 0, r = r a, r b.
19 Summary of model For spherical particles in dilute solution we obtain the Lamm equations ( ) ρ t = 1 r rd ρ Sω2 r 2 ρ, r a < r < r b, t > 0 D ρ = Sω2 rρ, r = r a, t > 0 D ρ = Sω2 rρ, r = r b, t > 0 ρ(r, 0) = ρ 0 (r), r a r r b, t = 0 D = kt /6πγµ, S = m /6πγµ. ω r a v r b f v γ, m µ, T
20 Analysis of experiment
21 Problem Deduce particle radius γ from experimental data on solute concentration ρ. rotor air solute + solvent spin ω cell air solvent solute r a r b elapsed time ρ t = 0 ρ t > 0 ρ t >> 0 r a r b r a r f (t) r b r a r b
22 Simplification of Lamm equations In experiments, D Sω 2 ra 2 (ω is large). Thus it is reasonable to ignore D ρ in regions where ρ is moderate (away from r = r b ): ( ) ρ t = 1 r rd ρ Sω2 r 2 ρ, r a < r < r b, t > 0 D ρ = Sω2 rρ, r = r a, t > 0 D ρ = Sω2 rρ, r = r b, t > 0 ρ(r, 0) = ρ 0 (r), r a r r b, t = 0.
23 Simplification of Lamm equations In experiments, D Sω 2 ra 2 (ω is large). Thus it is reasonable to ignore D ρ in regions where ρ is moderate (away from r = r b ): ( ) ρ t = 1 r rd ρ Sω2 r 2 ρ, r a < r < r b, t > 0 D ρ = Sω2 rρ, r = r a, t > 0 D ρ = Sω2 rρ, r = r b, t > 0 ρ(r, 0) = ρ 0 (r), r a r r b, t = 0. The leading-order equations away from r = r b are: ( ) ρ t = 1 r Sω 2 r 2 ρ, r > r a, t > 0 0 = Sω 2 rρ, r = r a, t > 0 ρ(r, 0) = ρ 0 (r), r r a, t = 0.
24 Solution of leading-order equations Using the method of characteristics we obtain, for a general initial condition ρ 0 (r) { 0, r < ra e Sω2 t ρ(r, t) = ) e 2Sω2t ρ 0 (re Sω2 t, r r a e Sω2t. ρ t = 0 ρ t > 0 r a r b r a r f (t) r b
25 Estimation of radius The leading-order solution implies that the location of the moving front is r f (t) = r a e Sω2t. Thus S can be determined from data on the front location r f. ln( r f / r a ) 1 S ω 2 t Thus: experiment S = m 6πγµ particle radius.
26 Generalization
27 Stokes law f ext τ ext fluid particle ω v [ ] v = ω [ ] M1 M 3 M 2 M 4 }{{} M [ ] ext f. τ M R 6 6 Stokes mobility matrix determined by shape of solute particle.
28 Conservation of mass ext f τ ext (r,q) (q,η) Dom Dom x SO 3 Ω x A σ t + g 1 (gj) = 0 in Ω A, t > 0 J n = 0 on ( Ω) A, t 0 J n periodic on Ω ( A), t 0 σ = σ 0 in Ω A, t = 0.
29 Conservation of mass ext f τ ext (r,q) (q,η) Dom Dom x SO 3 Ω x A σ t + g 1 (gj) = 0 in Ω A, t > 0 J n = 0 on ( Ω) A, t 0 J n periodic on Ω ( A), t 0 σ = σ 0 in Ω A, t = 0. σ = mass concentration in config space. J = D σ + σch ext, D = βbmb T, C = bmc. β = Boltzmann factor. g, b, c = geometric factors. M = Stokes mobility matrix. h ext = (f, τ) ext = external loads.
30 Averaging result Result. Due to a time-scale separation, the general balance of mass equation σ t + g 1 (gj) = 0 reduces to the Lamm equation ρ t + 1 r ( Sω 2 r 2 ρ rd ρ ) = 0, where ρ = SO 3 σ dv, D = kt 3 tr(m 1), S = m 3 tr(m 1).
31 Averaging result Result. Due to a time-scale separation, the general balance of mass equation σ t + g 1 (gj) = 0 reduces to the Lamm equation ρ t + 1 r ( Sω 2 r 2 ρ rd ρ ) = 0, where ρ = SO 3 σ dv, D = kt 3 tr(m 1), S = m 3 tr(m 1). Remarks. ρ is usual concentration per unit volume of physical domain.
32 Averaging result Result. Due to a time-scale separation, the general balance of mass equation σ t + g 1 (gj) = 0 reduces to the Lamm equation ρ t + 1 r ( Sω 2 r 2 ρ rd ρ ) = 0, where ρ = SO 3 σ dv, D = kt 3 tr(m 1), S = m 3 tr(m 1). Remarks. ρ is usual concentration per unit volume of physical domain. Result follows by averaging over fast rotational time-scale.
33 Averaging result Result. Due to a time-scale separation, the general balance of mass equation σ t + g 1 (gj) = 0 reduces to the Lamm equation ρ t + 1 r ( Sω 2 r 2 ρ rd ρ ) = 0, where ρ = SO 3 σ dv, D = kt 3 tr(m 1), S = m 3 tr(m 1). Remarks. ρ is usual concentration per unit volume of physical domain. Result follows by averaging over fast rotational time-scale. Recover classic results in case of spherical particles.
34 Averaging result Result. Due to a time-scale separation, the general balance of mass equation σ t + g 1 (gj) = 0 reduces to the Lamm equation ρ t + 1 r ( Sω 2 r 2 ρ rd ρ ) = 0, where ρ = SO 3 σ dv, D = kt 3 tr(m 1), S = m 3 tr(m 1). Remarks. ρ is usual concentration per unit volume of physical domain. Result follows by averaging over fast rotational time-scale. Recover classic results in case of spherical particles. As before, experiment S info on shape.
35 Intuitive explanation In terms of components in the molecular frame, assuming τ ext = 0, we have [ ] [ ] [ ] ext v M1 M = 3 f v = M ω M 2 M 4 τ 1 f ext. centrifuge frame x z y molecular frame
36 Intuitive explanation In terms of components in the molecular frame, assuming τ ext = 0, we have [ ] [ ] [ ] ext v M1 M = 3 f v = M ω M 2 M 4 τ 1 f ext. centrifuge frame x z y molecular frame Let [v] c and [f ext ] c be components in the centrifuge frame, and let Q SO 3 be the rotation from the centrifuge to molecular frame. Then [v] c = [M 1 ] c [f ext ] c, [M 1 ] c = QM 1 Q T.
37 Intuitive explanation Due to fast rotational diffusion, Q wanders uniformly over SO 3. Averaging the previous relation, assuming [f ext ] c is fixed, yields where Since [v] avg c [M 1 ] avg c = [v] avg c = [M 1 ] avg c [f ext ] c, SO 3 QM 1 Q T dv = 1 dv 3 tr(m 1)I. SO 3 [f ext ] c, the molecule behaves as if it were spherical.
38 The End
On the hydrodynamic diffusion of rigid particles
On the hydrodynamic diffusion of rigid particles O. Gonzalez Introduction Basic problem. Characterize how the diffusion and sedimentation properties of particles depend on their shape. Diffusion: Sedimentation:
More informationFokker-Planck Equation with Detailed Balance
Appendix E Fokker-Planck Equation with Detailed Balance A stochastic process is simply a function of two variables, one is the time, the other is a stochastic variable X, defined by specifying: a: the
More informationBAE 820 Physical Principles of Environmental Systems
BAE 820 Physical Principles of Environmental Systems Estimation of diffusion Coefficient Dr. Zifei Liu Diffusion mass transfer Diffusion mass transfer refers to mass in transit due to a species concentration
More informationBSL Transport Phenomena 2e Revised: Chapter 2 - Problem 2B.11 Page 1 of 5
BS Transport Phenomena 2e Revised: Chapter 2 - Problem 2B11 Page 1 of 5 Problem 2B11 The cone-and-plate viscometer (see Fig 2B11 A cone-and-plate viscometer consists of a flat plate and an inverted cone,
More informationAnalytical Ultracentrifugation. by: Andrew Rouff and Andrew Gioe
Analytical Ultracentrifugation by: Andrew Rouff and Andrew Gioe Partial Specific Volume (v) Partial Specific Volume is defined as the specific volume of the solute, which is related to volume increase
More informationLevel Set Tumor Growth Model
Level Set Tumor Growth Model Andrew Nordquist and Rakesh Ranjan, PhD University of Texas, San Antonio July 29, 2013 Andrew Nordquist and Rakesh Ranjan, PhD (University Level Set of Texas, TumorSan Growth
More informationBiomolecular hydrodynamics
Biomolecular hydrodynamics Chem 341, Fall, 2014 1 Frictional coefficients Consider a particle moving with velocity v under the influence of some external force F (say a graviational or electrostatic external
More information34.3. Resisted Motion. Introduction. Prerequisites. Learning Outcomes
Resisted Motion 34.3 Introduction This Section returns to the simple models of projectiles considered in Section 34.1. It explores the magnitude of air resistance effects and the effects of including simple
More informationAP Physics C. Gauss s Law. Free Response Problems
AP Physics Gauss s Law Free Response Problems 1. A flat sheet of glass of area 0.4 m 2 is placed in a uniform electric field E = 500 N/. The normal line to the sheet makes an angle θ = 60 ẘith the electric
More informationL = I ω = const. I = 2 3 MR2. When the balloon shrinks (because the air inside it cools down), the moment of inertia decreases, R = 1. L = I ω = I ω.
PHY 30 K. Solutions for mid-term test #3. Problem 1: Out in space, there are no forces acting on the balloon except gravity and hence no torques (with respect to an axis through the center of mass). Consequently,
More informationThis is a Gaussian probability centered around m = 0 (the most probable and mean position is the origin) and the mean square displacement m 2 = n,or
Physics 7b: Statistical Mechanics Brownian Motion Brownian motion is the motion of a particle due to the buffeting by the molecules in a gas or liquid. The particle must be small enough that the effects
More informationPhysics Dec Time Independent Solutions of the Diffusion Equation
Physics 301 10-Dec-2004 33-1 Time Independent Solutions of the Diffusion Equation In some cases we ll be interested in the time independent solution of the diffusion equation Why would be interested in
More informationChapter 1. Governing Equations of GFD. 1.1 Mass continuity
Chapter 1 Governing Equations of GFD The fluid dynamical governing equations consist of an equation for mass continuity, one for the momentum budget, and one or more additional equations to account for
More informationPart I.
Part I bblee@unimp . Introduction to Mass Transfer and Diffusion 2. Molecular Diffusion in Gasses 3. Molecular Diffusion in Liquids Part I 4. Molecular Diffusion in Biological Solutions and Gels 5. Molecular
More informationMathematical Concepts & Notation
Mathematical Concepts & Notation Appendix A: Notation x, δx: a small change in x t : the partial derivative with respect to t holding the other variables fixed d : the time derivative of a quantity that
More informationCOMPUTATIONAL STUDY OF PARTICLE/LIQUID FLOWS IN CURVED/COILED MEMBRANE SYSTEMS
COMPUTATIONAL STUDY OF PARTICLE/LIQUID FLOWS IN CURVED/COILED MEMBRANE SYSTEMS Prashant Tiwari 1, Steven P. Antal 1,2, Michael Z. Podowski 1,2 * 1 Department of Mechanical, Aerospace and Nuclear Engineering,
More informationAdded topics: depend on time/rate - Skipped
VIa- 1 Added topics: depend on time/rate - Skipped - 2012 a) diffusion rate material moves in medium faster motion more friction affect equilibrium separations like electrophoresis HPLC pharmacological
More informationV (r,t) = i ˆ u( x, y,z,t) + ˆ j v( x, y,z,t) + k ˆ w( x, y, z,t)
IV. DIFFERENTIAL RELATIONS FOR A FLUID PARTICLE This chapter presents the development and application of the basic differential equations of fluid motion. Simplifications in the general equations and common
More informationFundamentals of Mass Transfer
1 Fundamentals of Mass Transfer What is mass transfer? When a system contains two or more components whose concentrations vary from point to point, there is a natural tendency for mass to be transferred,
More information6.2 Governing Equations for Natural Convection
6. Governing Equations for Natural Convection 6..1 Generalized Governing Equations The governing equations for natural convection are special cases of the generalized governing equations that were discussed
More information2. FLUID-FLOW EQUATIONS SPRING 2019
2. FLUID-FLOW EQUATIONS SPRING 2019 2.1 Introduction 2.2 Conservative differential equations 2.3 Non-conservative differential equations 2.4 Non-dimensionalisation Summary Examples 2.1 Introduction Fluid
More informationBefore seeing some applications of vector calculus to Physics, we note that vector calculus is easy, because... There s only one Theorem!
16.10 Summary and Applications Before seeing some applications of vector calculus to Physics, we note that vector calculus is easy, because... There s only one Theorem! Green s, Stokes, and the Divergence
More informationFundamentals of Fluid Dynamics: Elementary Viscous Flow
Fundamentals of Fluid Dynamics: Elementary Viscous Flow Introductory Course on Multiphysics Modelling TOMASZ G. ZIELIŃSKI bluebox.ippt.pan.pl/ tzielins/ Institute of Fundamental Technological Research
More informationC C C C 2 C 2 C 2 C + u + v + (w + w P ) = D t x y z X. (1a) y 2 + D Z. z 2
This chapter provides an introduction to the transport of particles that are either more dense (e.g. mineral sediment) or less dense (e.g. bubbles) than the fluid. A method of estimating the settling velocity
More informationVII. Hydrodynamic theory of stellar winds
VII. Hydrodynamic theory of stellar winds observations winds exist everywhere in the HRD hydrodynamic theory needed to describe stellar atmospheres with winds Unified Model Atmospheres: - based on the
More informationContents. MATH 32B-2 (18W) (L) G. Liu / (TA) A. Zhou Calculus of Several Variables. 1 Multiple Integrals 3. 2 Vector Fields 9
MATH 32B-2 (8W) (L) G. Liu / (TA) A. Zhou Calculus of Several Variables Contents Multiple Integrals 3 2 Vector Fields 9 3 Line and Surface Integrals 5 4 The Classical Integral Theorems 9 MATH 32B-2 (8W)
More informationPROBLEM SET. Heliophysics Summer School. July, 2013
PROBLEM SET Heliophysics Summer School July, 2013 Problem Set for Shocks and Particle Acceleration There is probably only time to attempt one or two of these questions. In the tutorial session discussion
More informationMeasuring S using an analytical ultracentrifuge. Moving boundary
Measuring S using an analytical ultracentrifuge Moving boundary [C] t = 0 t 1 t 2 0 top r bottom 1 dr b r b (t) r b ω 2 = S ln = ω 2 S (t-t dt r b (t o ) o ) r b = boundary position velocity = dr b dt
More informationViscometry. - neglect Brownian motion. CHEM 305
Viscometry When a macromolecule moves in solution (e.g. of water), it induces net motions of the individual solvent molecules, i.e. the solvent molecules will feel a force. - neglect Brownian motion. To
More informationShell Balances in Fluid Mechanics
Shell Balances in Fluid Mechanics R. Shankar Subramanian Department of Chemical and Biomolecular Engineering Clarkson University When fluid flow occurs in a single direction everywhere in a system, shell
More informationConvective Mass Transfer
Convective Mass Transfer Definition of convective mass transfer: The transport of material between a boundary surface and a moving fluid or between two immiscible moving fluids separated by a mobile interface
More informationChapter 2: Fluid Dynamics Review
7 Chapter 2: Fluid Dynamics Review This chapter serves as a short review of basic fluid mechanics. We derive the relevant transport equations (or conservation equations), state Newton s viscosity law leading
More informationBROWNIAN DYNAMICS SIMULATIONS WITH HYDRODYNAMICS. Abstract
BROWNIAN DYNAMICS SIMULATIONS WITH HYDRODYNAMICS Juan J. Cerdà 1 1 Institut für Computerphysik, Pfaffenwaldring 27, Universität Stuttgart, 70569 Stuttgart, Germany. (Dated: July 21, 2009) Abstract - 1
More informationCOMSOL Conference 2010
Presented at the COMSOL Conference 2010 Boston COMSOL Conference 2010 Understanding Ferrofluid Spin-Up Flows in Rotating Uniform Magnetic Fields Shahriar Khushrushahi, Prof. Markus Zahn Massachusetts Institute
More informationBy: Ashley and Christine Phy 200 Professor Newman 4/13/12
By: Ashley and Christine Phy 200 Professor Newman 4/13/12 What is it? Technique used to settle particles in solution against the barrier using centrifugal acceleration Two Types of Centrifuges Analytical
More informationLecture 5: Kinetic theory of fluids
Lecture 5: Kinetic theory of fluids September 21, 2015 1 Goal 2 From atoms to probabilities Fluid dynamics descrines fluids as continnum media (fields); however under conditions of strong inhomogeneities
More information42. Change of Variables: The Jacobian
. Change of Variables: The Jacobian It is common to change the variable(s) of integration, the main goal being to rewrite a complicated integrand into a simpler equivalent form. However, in doing so, the
More informationIntroduction to Turbomachinery
1. Coordinate System Introduction to Turbomachinery Since there are stationary and rotating blades in turbomachines, they tend to form a cylindrical form, represented in three directions; 1. Axial 2. Radial
More informationTopics in Relativistic Astrophysics
Topics in Relativistic Astrophysics John Friedman ICTP/SAIFR Advanced School in General Relativity Parker Center for Gravitation, Cosmology, and Astrophysics Part I: General relativistic perfect fluids
More information2.29 Numerical Fluid Mechanics Fall 2011 Lecture 5
.9 Numerical Fluid Mechanics Fall 011 Lecture 5 REVIEW Lecture 4 Roots of nonlinear equations: Open Methods Fixed-point Iteration (General method or Picard Iteration), with examples Iteration rule: x g(
More informationInitiation of rain in nonfreezing clouds
Collision-coalescence Topics: Initiation of rain in nonfreezing clouds ( warm rain process) Droplet terminal fall speed Collision efficiency Growth equations Initiation of rain in nonfreezing clouds We
More informationMATH 332: Vector Analysis Summer 2005 Homework
MATH 332, (Vector Analysis), Summer 2005: Homework 1 Instructor: Ivan Avramidi MATH 332: Vector Analysis Summer 2005 Homework Set 1. (Scalar Product, Equation of a Plane, Vector Product) Sections: 1.9,
More informationThe Hydrostatic Approximation. - Euler Equations in Spherical Coordinates. - The Approximation and the Equations
OUTLINE: The Hydrostatic Approximation - Euler Equations in Spherical Coordinates - The Approximation and the Equations - Critique of Hydrostatic Approximation Inertial Instability - The Phenomenon - The
More informationInterpreting Differential Equations of Transport Phenomena
Interpreting Differential Equations of Transport Phenomena There are a number of techniques generally useful in interpreting and simplifying the mathematical description of physical problems. Here we introduce
More informationSolutions to PS 2 Physics 201
Solutions to PS Physics 1 1. ke dq E = i (1) r = i = i k eλ = i k eλ = i k eλ k e λ xdx () (x x) (x x )dx (x x ) + x dx () (x x ) x ln + x x + x x (4) x + x ln + x (5) x + x To find the field for x, we
More informationChapter 1. Continuum mechanics review. 1.1 Definitions and nomenclature
Chapter 1 Continuum mechanics review We will assume some familiarity with continuum mechanics as discussed in the context of an introductory geodynamics course; a good reference for such problems is Turcotte
More informationLinear stability of MHD configurations
Linear stability of MHD configurations Rony Keppens Centre for mathematical Plasma Astrophysics KU Leuven Rony Keppens (KU Leuven) Linear MHD stability CHARM@ROB 2017 1 / 18 Ideal MHD configurations Interested
More informationEntropy generation and transport
Chapter 7 Entropy generation and transport 7.1 Convective form of the Gibbs equation In this chapter we will address two questions. 1) How is Gibbs equation related to the energy conservation equation?
More informationCHAPTER 8 ENTROPY GENERATION AND TRANSPORT
CHAPTER 8 ENTROPY GENERATION AND TRANSPORT 8.1 CONVECTIVE FORM OF THE GIBBS EQUATION In this chapter we will address two questions. 1) How is Gibbs equation related to the energy conservation equation?
More informationROTATING RING. Volume of small element = Rdθbt if weight density of ring = ρ weight of small element = ρrbtdθ. Figure 1 Rotating ring
ROTATIONAL STRESSES INTRODUCTION High centrifugal forces are developed in machine components rotating at a high angular speed of the order of 100 to 500 revolutions per second (rps). High centrifugal force
More informationEXPERIMENT 17. To Determine Avogadro s Number by Observations on Brownian Motion. Introduction
EXPERIMENT 17 To Determine Avogadro s Number by Observations on Brownian Motion Introduction In 1827 Robert Brown, using a microscope, observed that very small pollen grains suspended in water appeared
More information2. Molecules in Motion
2. Molecules in Motion Kinetic Theory of Gases (microscopic viewpoint) assumptions (1) particles of mass m and diameter d; ceaseless random motion (2) dilute gas: d λ, λ = mean free path = average distance
More informationDifferential equations of mass transfer
Differential equations of mass transfer Definition: The differential equations of mass transfer are general equations describing mass transfer in all directions and at all conditions. How is the differential
More informationNumerical Heat and Mass Transfer
Master Degree in Mechanical Engineering Numerical Heat and Mass Transfer 15-Convective Heat Transfer Fausto Arpino f.arpino@unicas.it Introduction In conduction problems the convection entered the analysis
More informationRate of change of velocity. a=dv/dt. Acceleration is a vector quantity.
9.7 CENTRIFUGATION The centrifuge is a widely used instrument in clinical laboratories for the separation of components. Various quantities are used for the description and the calculation of the separation
More informationBoundary Conditions in Fluid Mechanics
Boundary Conditions in Fluid Mechanics R. Shankar Subramanian Department of Chemical and Biomolecular Engineering Clarkson University The governing equations for the velocity and pressure fields are partial
More informationOutline. Definition and mechanism Theory of diffusion Molecular diffusion in gases Molecular diffusion in liquid Mass transfer
Diffusion 051333 Unit operation in gro-industry III Department of Biotechnology, Faculty of gro-industry Kasetsart University Lecturer: Kittipong Rattanaporn 1 Outline Definition and mechanism Theory of
More informationPolymer dynamics. Course M6 Lecture 5 26/1/2004 (JAE) 5.1 Introduction. Diffusion of polymers in melts and dilute solution.
Course M6 Lecture 5 6//004 Polymer dynamics Diffusion of polymers in melts and dilute solution Dr James Elliott 5. Introduction So far, we have considered the static configurations and morphologies of
More informationFluid Dynamics from Kinetic Equations
Fluid Dynamics from Kinetic Equations François Golse Université Paris 7 & IUF, Laboratoire J.-L. Lions golse@math.jussieu.fr & C. David Levermore University of Maryland, Dept. of Mathematics & IPST lvrmr@math.umd.edu
More informationFluid Equations for Rarefied Gases
1 Fluid Equations for Rarefied Gases Jean-Luc Thiffeault Department of Applied Physics and Applied Mathematics Columbia University http://plasma.ap.columbia.edu/~jeanluc 23 March 2001 with E. A. Spiegel
More informationIn this lecture... Centrifugal compressors Thermodynamics of centrifugal compressors Components of a centrifugal compressor
Lect- 3 In this lecture... Centrifugal compressors Thermodynamics of centrifugal compressors Components of a centrifugal compressor Centrifugal compressors Centrifugal compressors were used in the first
More informationNumber of pages in the question paper : 05 Number of questions in the question paper : 48 Modeling Transport Phenomena of Micro-particles Note: Follow the notations used in the lectures. Symbols have their
More information3 Chapter. Gauss s Law
3 Chapter Gauss s Law 3.1 Electric Flux... 3-2 3.2 Gauss s Law (see also Gauss s Law Simulation in Section 3.10)... 3-4 Example 3.1: Infinitely Long Rod of Uniform Charge Density... 3-9 Example 3.2: Infinite
More informationModeling the sequence-dependent diffusion coefficients of short DNA molecules
Modeling the sequence-dependent diffusion coefficients of short DNA molecules O. Gonzalez J. Li August 21, 2008 Abstract A boundary element model for the computation of sequence-dependent hydrodynamic
More informationHow DLS Works: Interference of Light
Static light scattering vs. Dynamic light scattering Static light scattering measures time-average intensities (mean square fluctuations) molecular weight radius of gyration second virial coefficient Dynamic
More informationEffective Depth of Ekman Layer.
5.5: Ekman Pumping Effective Depth of Ekman Layer. 2 Effective Depth of Ekman Layer. Defining γ = f/2k, we derived the solution u = u g (1 e γz cos γz) v = u g e γz sin γz corresponding to the Ekman spiral.
More informationFrom a Mesoscopic to a Macroscopic Description of Fluid-Particle Interaction
From a Mesoscopic to a Macroscopic Description of Fluid-Particle Interaction Carnegie Mellon University Center for Nonlinear Analysis Working Group, October 2016 Outline 1 Physical Framework 2 3 Free Energy
More informationASTM109 Stellar Structure and Evolution Duration: 2.5 hours
MSc Examination Day 15th May 2014 14:30 17:00 ASTM109 Stellar Structure and Evolution Duration: 2.5 hours YOU ARE NOT PERMITTED TO READ THE CONTENTS OF THIS QUESTION PAPER UNTIL INSTRUCTED TO DO SO BY
More informationE. not enough information given to decide
Q22.1 A spherical Gaussian surface (#1) encloses and is centered on a point charge +q. A second spherical Gaussian surface (#2) of the same size also encloses the charge but is not centered on it. Compared
More informationTALLINN UNIVERSITY OF TECHNOLOGY, DIVISION OF PHYSICS 13. STOKES METHOD
13. STOKES METHOD 1. Objective To determine the coefficient of viscosity of a known fluid using Stokes method.. Equipment needed A glass vessel with glycerine, micrometer calliper, stopwatch, ruler. 3.
More informationCirculation and Vorticity. The tangential linear velocity of a parcel on a rotating body is related to angular velocity of the body by the relation
Circulation and Vorticity 1. Conservation of Absolute Angular Momentum The tangential linear velocity of a parcel on a rotating body is related to angular velocity of the body by the relation V = ωr (1)
More informationAssignment 3: The Atomic Nature of Matter
Introduction Assignment 3: The Atomic Nature of Matter Science One CS 2015-2016 Instructor: Mike Gelbart Last Updated Sunday, Jan 24, 2016 around 7:45pm Part One due Saturday, Jan 30, 2016 at 5:00pm Part
More informationV. Electrostatics Lecture 24: Diffuse Charge in Electrolytes
V. Electrostatics Lecture 24: Diffuse Charge in Electrolytes MIT Student 1. Poisson-Nernst-Planck Equations The Nernst-Planck Equation is a conservation of mass equation that describes the influence of
More informationSupporting Information for Conical Nanopores. for Efficient Ion Pumping and Desalination
Supporting Information for Conical Nanopores for Efficient Ion Pumping and Desalination Yu Zhang, and George C. Schatz,, Center for Bio-inspired Energy Science, Northwestern University, Chicago, Illinois
More informationwhere G is Newton s gravitational constant, M is the mass internal to radius r, and Ω 0 is the
Homework Exercise Solar Convection and the Solar Dynamo Mark Miesch (HAO/NCAR) NASA Heliophysics Summer School Boulder, Colorado, July 27 - August 3, 2011 PROBLEM 1: THERMAL WIND BALANCE We begin with
More informationSeparation Sciences. 1. Introduction: Fundamentals of Distribution Equilibrium. 2. Gas Chromatography (Chapter 2 & 3)
Separation Sciences 1. Introduction: Fundamentals of Distribution Equilibrium 2. Gas Chromatography (Chapter 2 & 3) 3. Liquid Chromatography (Chapter 4 & 5) 4. Other Analytical Separations (Chapter 6-8)
More informationFluorescence Spectroscopy
Fluorescence Spectroscopy Raleigh light scattering light all freqs Fluorescence emission Raleigh Scattering 10 nm Raleigh light scattering Fluorescence emission 400 nm Scattering - TWO particle 10 nm Particle
More informationarxiv:astro-ph/ v2 5 Aug 1997
Dissipation of a tide in a differentially rotating star Suzanne Talon Observatoire de Paris, Section de Meudon, 92195 Meudon, France and arxiv:astro-ph/9707309v2 5 Aug 1997 Pawan Kumar Institute for Advanced
More information8.333: Statistical Mechanics I Problem Set # 5 Due: 11/22/13 Interacting particles & Quantum ensembles
8.333: Statistical Mechanics I Problem Set # 5 Due: 11/22/13 Interacting particles & Quantum ensembles 1. Surfactant condensation: N surfactant molecules are added to the surface of water over an area
More informationFluid Equations for Rarefied Gases
1 Fluid Equations for Rarefied Gases Jean-Luc Thiffeault Department of Applied Physics and Applied Mathematics Columbia University http://plasma.ap.columbia.edu/~jeanluc 21 May 2001 with E. A. Spiegel
More informationEULERIAN DERIVATIONS OF NON-INERTIAL NAVIER-STOKES EQUATIONS
EULERIAN DERIVATIONS OF NON-INERTIAL NAVIER-STOKES EQUATIONS ML Combrinck, LN Dala Flamengro, a div of Armscor SOC Ltd & University of Pretoria, Council of Scientific and Industrial Research & University
More informationSecond Year Electromagnetism Summer 2018 Caroline Terquem. Vacation work: Problem set 0. Revisions
Second Year Electromagnetism Summer 2018 Caroline Terquem Vacation work: Problem set 0 Revisions At the start of the second year, you will receive the second part of the Electromagnetism course. This vacation
More informationPerformance characteristics of turbo blower in a refuse collecting system according to operation conditions
Journal of Mechanical Science and Technology 22 (2008) 1896~1901 Journal of Mechanical Science and Technology www.springerlink.com/content/1738-494x DOI 10.1007/s12206-008-0729-6 Performance characteristics
More information5. Coupling of Chemical Kinetics & Thermodynamics
5. Coupling of Chemical Kinetics & Thermodynamics Objectives of this section: Thermodynamics: Initial and final states are considered: - Adiabatic flame temperature - Equilibrium composition of products
More informationDETERMINATION OF THE POTENTIAL ENERGY SURFACES OF REFRIGERANT MIXTURES AND THEIR GAS TRANSPORT COEFFICIENTS
THERMAL SCIENCE: Year 07, Vo., No. 6B, pp. 85-858 85 DETERMINATION OF THE POTENTIAL ENERGY SURFACES OF REFRIGERANT MIXTURES AND THEIR GAS TRANSPORT COEFFICIENTS Introduction by Bo SONG, Xiaopo WANG *,
More informationPHYS208 RECITATIONS PROBLEMS: Week 2. Gauss s Law
Gauss s Law Prob.#1 Prob.#2 Prob.#3 Prob.#4 Prob.#5 Total Your Name: Your UIN: Your section# These are the problems that you and a team of other 2-3 students will be asked to solve during the recitation
More informationj a3 = -r 7 2 r3 r θ F = m a3 j Centripetal force: m7 2 r; radial; towards centre.
&(175,)8*$7,1 &LUFXODU PRWLRQ 7 = angular velocity (rad sec -1). (x,y) = r (cos, sin); = 7t j r3 = (x,y) =(r cos(7t), r sin(7t)) a3 = (d x/dt, d y/dt ) = -r 7 (cos(7t) - sin(7t)) j a3 = -r 7 r3 r θ F =
More information8.6 Drag Forces in Fluids
86 Drag Forces in Fluids When a solid object moves through a fluid it will experience a resistive force, called the drag force, opposing its motion The fluid may be a liquid or a gas This force is a very
More informationSPA7023P/SPA7023U/ASTM109 Stellar Structure and Evolution Duration: 2.5 hours
MSc/MSci Examination Day 28th April 2015 18:30 21:00 SPA7023P/SPA7023U/ASTM109 Stellar Structure and Evolution Duration: 2.5 hours YOU ARE NOT PERMITTED TO READ THE CONTENTS OF THIS QUESTION PAPER UNTIL
More informationChapter 5. The Differential Forms of the Fundamental Laws
Chapter 5 The Differential Forms of the Fundamental Laws 1 5.1 Introduction Two primary methods in deriving the differential forms of fundamental laws: Gauss s Theorem: Allows area integrals of the equations
More informationScope of this lecture ASTR 7500: Solar & Stellar Magnetism. Lecture 9 Tues 19 Feb Magnetic fields in the Universe. Geomagnetism.
Scope of this lecture ASTR 7500: Solar & Stellar Magnetism Hale CGEG Solar & Space Physics Processes of magnetic field generation and destruction in turbulent plasma flows Introduction to general concepts
More informationTransport (kinetic) phenomena: diffusion, electric conductivity, viscosity, heat conduction...
Transport phenomena 1/16 Transport (kinetic) phenomena: diffusion, electric conductivity, viscosity, heat conduction... Flux of mass, charge, momentum, heat,...... J = amount (of quantity) transported
More informationUNIVERSITY OF MISSOURI-COLUMBIA PHYSICS DEPARTMENT. PART I Qualifying Examination. January 20, 2015, 5:00 p.m. to 8:00 p.m.
UNIVERSITY OF MISSOURI-COLUMBIA PHYSICS DEPARTMENT PART I Qualifying Examination January 20, 2015, 5:00 p.m. to 8:00 p.m. Instructions: The only material you are allowed in the examination room is a writing
More informationConvection-Diffusion in Microchannels
33443 Microfluidics Theory and Simulation Convection-Diffusion in Microchannels Catharina Hartmann (s97176) Luigi Sasso (s06094) Institute of Micro and Nanotechnology, DTU, 800 Kongens Lyngby, DK June,
More information5.1 Fluid momentum equation Hydrostatics Archimedes theorem The vorticity equation... 42
Chapter 5 Euler s equation Contents 5.1 Fluid momentum equation........................ 39 5. Hydrostatics................................ 40 5.3 Archimedes theorem........................... 41 5.4 The
More informationScientific Computing I
Scientific Computing I Session 11: Basics of Partial Differential Equations Tobias Weinzierl Winter 2010/2011 Session 11: Basics of Partial Differential Equations, Winter 2010/2011 1 Motivation Instead
More informationParticle Pinch Model of Passing/Trapped High-Z Impurity with Centrifugal Force Effect )
Particle Pinch Model of Passing/Trapped High-Z Impurity with Centrifugal Force Effect ) Yusuke SHIMIZU, Takaaki FUJITA, Atsushi OKAMOTO, Hideki ARIMOTO, Nobuhiko HAYASHI 1), Kazuo HOSHINO 2), Tomohide
More informationSimilarities and differences:
How does the system reach equilibrium? I./9 Chemical equilibrium I./ Equilibrium electrochemistry III./ Molecules in motion physical processes, non-reactive systems III./5-7 Reaction rate, mechanism, molecular
More informationChapter 4: Fundamental Forces
Chapter 4: Fundamental Forces Newton s Second Law: F=ma In atmospheric science it is typical to consider the force per unit mass acting on the atmosphere: Force mass = a In order to understand atmospheric
More informationBiomolecular hydrodynamics
Biomolecular hydrodynamics David Case Rutgers, Spring, 2009 February 1, 2009 Why study hydrodynamical methods? The methods we study in this section are low resolution ones one studies diffusional motion
More information