Stability of Evaporating Polymer Films. For: Dr. Roger Bonnecaze Surface Phenomena (ChE 385M)



Similar documents
39th International Physics Olympiad - Hanoi - Vietnam Theoretical Problem No. 3

LECTURE 5: Fluid jets. We consider here the form and stability of fluid jets falling under the influence of gravity.

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

4. Introduction to Heat & Mass Transfer

EXERCISES. 16. What is the ionic strength in a solution containing NaCl in c=0.14 mol/dm 3 concentration and Na 3 PO 4 in 0.21 mol/dm 3 concentration?

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

Lecture 3 Fluid Dynamics and Balance Equa6ons for Reac6ng Flows

Soil Suction. Total Suction

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

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

Heating & Cooling in Molecular Clouds

Diffusion and Fluid Flow

Sound absorption and acoustic surface impedance

VISUAL PHYSICS School of Physics University of Sydney Australia. Why do cars need different oils in hot and cold countries?

Chapter 5: Diffusion. 5.1 Steady-State Diffusion

Energy and Energy Transformations Test Review

Chemical Waves in the Belousov-Zhabotinsky Reaction: Determining a Rate Constant with a Ruler

Module 1 : Conduction. Lecture 5 : 1D conduction example problems. 2D conduction

1. The Kinetic Theory of Matter states that all matter is composed of atoms and molecules that are in a constant state of constant random motion

Heat Pipe, selection of working fluid

18 Q0 a speed of 45.0 m/s away from a moving car. If the car is 8 Q0 moving towards the ambulance with a speed of 15.0 m/s, what Q0 frequency does a

oil liquid water water liquid Answer, Key Homework 2 David McIntyre 1

Convection in water (an almost-incompressible fluid)

The Three Heat Transfer Modes in Reflow Soldering

Experiment 12E LIQUID-VAPOR EQUILIBRIUM OF WATER 1

Solution for Homework #1

Gas Chromatography. Let s begin with an example problem: SPME head space analysis of pesticides in tea and follow-up analysis by high speed GC.

Chemistry 212 VAPOR PRESSURE OF WATER LEARNING OBJECTIVES

Modeling and Simulations of Cavitating and Bubbly Flows

Notes on Polymer Rheology Outline

In order to solve this problem it is first necessary to use Equation 5.5: x 2 Dt. = 1 erf. = 1.30, and x = 2 mm = m. Thus,

Natural Convection. Buoyancy force

vap H = RT 1T 2 = kj mol kpa = 341 K

Vacuum Technology. Kinetic Theory of Gas. Dr. Philip D. Rack

Chapter 28 Fluid Dynamics

Dimensional Analysis

Determination of g using a spring

A LAMINAR FLOW ELEMENT WITH A LINEAR PRESSURE DROP VERSUS VOLUMETRIC FLOW ASME Fluids Engineering Division Summer Meeting

Free Electron Fermi Gas (Kittel Ch. 6)

Radioactivity III: Measurement of Half Life.

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

Current Staff Course Unit/ Length. Basic Outline/ Structure. Unit Objectives/ Big Ideas. Properties of Waves A simple wave has a PH: Sound and Light

- momentum conservation equation ρ = ρf. These are equivalent to four scalar equations with four unknowns: - pressure p - velocity components

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

Mechanics 1: Conservation of Energy and Momentum

Steady Heat Conduction

Battery Thermal Management System Design Modeling

Lecture 24 - Surface tension, viscous flow, thermodynamics

Experiment SURFACE TENSION OF LIQUIDS. Experiment 1, page 1 Version of June 17, 2016

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

Thermodynamics. Chapter 13 Phase Diagrams. NC State University

Indiana's Academic Standards 2010 ICP Indiana's Academic Standards 2016 ICP. map) that describe the relationship acceleration, velocity and distance.

When the fluid velocity is zero, called the hydrostatic condition, the pressure variation is due only to the weight of the fluid.

7.2.4 Seismic velocity, attenuation and rock properties

Chapter Test B. Chapter: Measurements and Calculations

PRACTICE FINAL. Problem 1. Find the dimensions of the isosceles triangle with largest area that can be inscribed in a circle of radius 10cm.

1 The basic equations of fluid dynamics

Trace Gas Exchange Measurements with Standard Infrared Analyzers

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

CE 3500 Fluid Mechanics / Fall 2014 / City College of New York

Journal bearings/sliding bearings

PHOTOELECTRIC EFFECT AND DUAL NATURE OF MATTER AND RADIATIONS

Chemistry 13: States of Matter

Physics of the Atmosphere I

Infrared Spectroscopy: Theory

Displacement (x) Velocity (v) Acceleration (a) x = f(t) differentiate v = dx Acceleration Velocity (v) Displacement x

CHEM 120 Online Chapter 7

Upon completion of this lab, the student will be able to:

THERMAL STRATIFICATION IN A HOT WATER TANK ESTABLISHED BY HEAT LOSS FROM THE TANK

Chapter 6 An Overview of Organic Reactions

LASER MELTED STEEL FREE SURFACE FORMATION

NUMERICAL INVESTIGATIONS ON HEAT TRANSFER IN FALLING FILMS AROUND TURBULENCE WIRES

Integration of a fin experiment into the undergraduate heat transfer laboratory

PARTICLE SIMULATION ON MULTIPLE DUST LAYERS OF COULOMB CLOUD IN CATHODE SHEATH EDGE

Answer, Key Homework 6 David McIntyre 1

The properties of an ideal Fermi gas are strongly determined by the Pauli principle. We shall consider the limit: µ >> k B T βµ >> 1,

Parabolic Equations. Chapter 5. Contents Well-Posed Initial-Boundary Value Problem Time Irreversibility of the Heat Equation

INVESTIGATION OF FALLING BALL VISCOMETRY AND ITS ACCURACY GROUP R1 Evelyn Chou, Julia Glaser, Bella Goyal, Sherri Wykosky

CHEMISTRY GAS LAW S WORKSHEET

Fluid Mechanics: Static s Kinematics Dynamics Fluid

Introduction to COMSOL. The Navier-Stokes Equations

PTYS/ASTR 206 Section 2 Spring 2007 Homework #2 (Page 1/5) NAME: KEY

1) The time for one cycle of a periodic process is called the A) wavelength. B) period. C) frequency. D) amplitude.

FUNDAMENTALS OF ENGINEERING THERMODYNAMICS

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

The Viscosity of Fluids

Scalars, Vectors and Tensors

Energy. Mechanical Energy

CHAPTER 14 THE CLAUSIUS-CLAPEYRON EQUATION

Fully dry PMMA transfer of graphene on h-bn

Acoustics: the study of sound waves

10.7 Kinetic Molecular Theory Kinetic Molecular Theory. Kinetic Molecular Theory. Kinetic Molecular Theory. Kinetic Molecular Theory

The Viscosity of Fluids

CALCULATING THE SIZE OF AN ATOM

For Water to Move a driving force is needed

XI / PHYSICS FLUIDS IN MOTION 11/PA

Chemical Kinetics. 2. Using the kinetics of a given reaction a possible reaction mechanism

19.7. Applications of Differential Equations. Introduction. Prerequisites. Learning Outcomes. Learning Style

5.4 The Heat Equation and Convection-Diffusion

Transcription:

Stability of Evaporating Polymer Films For: Dr. Roger Bonnecaze Surface Phenomena (ChE 385M) Submitted by: Ted Moore 4 May 2000

Motivation This problem was selected because the writer observed a dependence on casting conditions of the stability of polymer films cast from a dilute solution of a volatile solvent; See Figure 1. Films were cast by dropping a dilute polymer solution onto glass slides and allowing it to spread, coating the slide. Polymer films were cast on slides contained in a large glass pan covered with Saran wrap. The Saran wrap was a barrier to prevent the slides from being exposed to the air currents of a hood, and all the particles these currents typically carry around. Holes that were just large enough for an eyedropper were poked in the Saran wrap to facilitate dropping. Films cast in this manner almost always had waves in them. This problem was solved by placing the glass slides under a short cylindrical casting ring covered with Saran wrap. This increased the partial pressure of the solvent in the small casting ring enclosure, thus decreasing the driving force and the evaporation rate. The same thing could have been accomplished with an inverted petri dish, which is of similar dimensions. However, a hole can t be made in the top to allow the solution to be dropped onto the slides. Indeed, initial experiments were done with petri dishes, but because the slides had to remain uncovered while the solution was dropped onto them, dust particles absorbed onto the films. Figure 1: Sketch of Casting Conditions and the Resulting Polymer Films. The Darker Shade of Blue in the Right Case, Above the Film but Under an Intermediate Saran Wrap Covered Casting Ring, Represents a Higher Dichloromethane Partial Pressure. Hypothesis Curvature causes differences in the local effective saturation pressure above a film which leads to position dependent evaporation rate since the mass transfer driving force, P SAT EFF-P MeCl2 is a function of position. The local evaporation rate could either perpetuate or reduce this curvature. If the films evaporate quickly enough, as when left only covered in the large glass pan, the waves caused by the curvature could become frozen into the solventless polymer film. The thin film equation can be used to predict the curvature if a disturbance function is assumed; however, it

must be modified to include the effects of the evaporating solvent. Differences in the local evaporation rate will lead to two effects: differences in the local surface concentration, and differences in the local surface temperature. Both cause differences in the local surface tension and thus will cause Marangoni flows. I hypothesize that temperature probably has a larger effect because of the large heat of vaporization of the solvent that we are using, so I have neglected concentration as a cause of Marangoni flows. Because the effective saturation pressure is higher at the top, the flux is higher at the peaks, denoted with subscript P. This means the temperature will be lower at the peaks. So the Marangoni flows will be from the troughs to the peaks, which will tend to perpetuate the disturbance. Note also that the temperature disturbance function and the height disturbance function are out of phase. Figure 2 summarizes some of the physics that is occurring in this problem. N P NT P P PT Marangoni Flow Figure 2: Summary of the Physics included in the Model Model Equations A modified thin film equation was used to model the system. In one dimension, this equation is: dh dt = 1 d 3 dx h 3!g dh dx d3 h dx d dt 3h 2 3 dt dx 2 Eq. 1 This equation was developed in homework #4, problem #1. Here, dγ/dx has been replaced by. d dt dt dx The molar flux was assumed to be given by: N(x, t) = k M (P SAT EFF P MeCl2 ) Eq. 2

where k M is the mass transfer coefficient, which is equal to D/δRT ATM. D is the binary diffusion coefficient of dichloromethane in air, and δ is the thickness of the boundary layer, which, assuming a stagnant boundary, is the distance between the film and the first layer of Saran wrap. P SAT EFF is given by the Kelvin equation: Ln P SAT EFF P SAT = v M RT n Eq. 3 where ( n)=- 2 h as proved in the class notes. Combining Eq. 2 and a linearized Eq. 3, we obtain: N(x, t) = k M (P SAT + P SAT v M RT n P MeCl 2 ) Eq. 4 The molar flux is equal to the conductive heat flux at the surface divided by the heat of vaporization: N(x, t) = k M (P SAT P MeCl2 ) k M P SAT v M RT 2 h = k F H V dt dy Eq. 5 where k F is the thermal conductivity of the fluid. In the solution, dt/dy is treated as a constant to make the mathematics more tractable. In addition, the heat flux has been limited to one dimension. Alternatively this is stated dt/dx << dt/dy. Note that the left half of the mass transfer flux is the flux through an undisturbed surface. The heat flux can likewise be broken into undisturbed and perturbation heat fluxes, but the details are left in the appendix. Finally, the height was assumed to be a base height plus a perturbation: h(x,t) = h 0 + η(x,t) = h 0 + η 0 exp(st + ikx) Eq. 6 was assumed. The perturbation has the form of a decaying traveling wave. Model Solution Detailed solutions can be found in the appendix. However, important results are presented below. Before the equations could be solved, the relationship between the temperature disturbance and the height disturbance needs to be determined. As determined in the hypothesis section, the temperature and height disturbance functions will be out of phase. So the temperature as a function of position is: T(x,t) = T S0 + T 0 exp(st + i(kx + π)) Eq. 7

Note that this means a Marangoni flow will be induced that will drive solvent from the troughs to the peaks which will tend to amplify the disturbance. By solving Eq. 5 with equations 6 and 7, we can determine the relationship of the temperature amplitude to the disturbance amplitude: T 0 0 = k MP SAT v M k 2 RT H V h 0 k F + T B T SO h 0 Eq. 8 One can see that increasing the heat of vaporization, H V, or the mass transfer coefficient, k M, will tend to increase the ratio of the amplitudes, while decreasing the thermal conductivity, k F, of the fluid will tend to minimize it. These agree with physical intuition. Here T SO is the temperature of an unperturbed surface. It can easily be related to the flux through an unperturbed surface. After linearizing and solving Eq. 1 for s using Eq. 6 and 7 for h and T, respectively, we obtain: s = 3 1 gh 3 0 k 2 h 3 0 k 4 + 3 0h 2 0 k 2 0 2T 0 T 0 Eq. 7 T Substituting Eq. 8 for 0 0 : s = h 0 3 k 2 3!g k 2 (1 3 0 k M P SAT v M 2T 0 RT H V k F ) + 3 0 2T 0 k 2 H V k M h 0 k F (P SAT EFF P MeCl2 ) Eq. 8 We can compare this to the s that we calculate for a nonevaporating surface: s = h 0 3 k 2 3 (!g k 2 ) Eq. 9 Eq. 9 is always negative, whereas the two terms that account for the evaporating solvent in Eq. 8 are both positive, so the evaporating solvent tends to destabilize the film. Finally, we can derive λ MAX, the fastest growing wavelength, by first taking the derivative of s with respect to k and then recognizing that λ MAX = 2π/k MAX : MAX = 16 2 3 0 k (1 M P SAT v M H V 2T 0 RT k ) F 2 g+ 3 0 T 0 H V k M (P SAT P MeCl2 ) k F h 0 1 2 Eq. 10 In Eq. 10, it is possible for the right hand side to be the square root of a negative number. The physical meaning of this is that the stability coefficient is negative at that point, and so all disturbances will decay. Only when s is positive will λ MAX be a real number and thus have physical meaning. Results Since the motivation for this experiment was the observation that waves were frozen into polymer films from which solvent had completely evaporated, I wanted see if this phenomena is

explained by the above theory. Table 1 shows parameters and their sources that were used in Eq. 10 to find λ MAX, which should be the observed wavelength since it is the fastest growing. Table 1: Values Used for the Prediction of λ MAX Parameter Value Source γ, 25ºC 27.2mN/m CRC, p. 6-155 ρ, 25ºC 1.317g/cm 3 Himmelblau CD G 9.81m/s 2 γ 0 P SAT, 25ºC 30.92mN/m 58.119kPa See Note Himmelblau CD Parameter T C H V, 25ºC k M, 25ºC k F, 25ºC Value 207ºC 28.82kJ/mol 4.25 10-7 mol/pa/m 2 /s 147mW/m/K Source See Note CRC p. 6-117 Calculated Perry s, 3-253 Note: g 0 and T C were calculated by assuming the slope of the surface tension of CH 2Br 2 was the same as the slope for CH 2Cl 2 since only one temperature data point was given for CH 2Cl 2. Data was taken from the CRC Handbook, p. 6.155. Where k M is given by D/R/T ATM /δ as stated above. δ, the boundary layer thickness, was assumed to be 1cm, the approximate distance between the evaporating polymer film and the Saran wrap. D was found to be 0.105cm 2 /s by the equation of Fuller, Schettler, and Giddings, as given in Perry s. Here, the surface tension was assumed to be that of pure solvent, since we don t know the surface tension of our solvent-polymer mixture as a function of concentration. This is probably not a good assumption, but it is the best we can do in the absence of data, and it shouldn t affect the order of magnitude of our calculations. Figure 3 shows the effect of changing the partial pressure of dichloromethane above the film on the observed wavelength, with the mass transfer coefficient as a parameter. You can see that the equation predicts that the disturbance wavelength blows up near the saturation pressure of 58kPa. This is because the mass transfer rate goes to zero because the driving force goes to zero. Unfortunately, Eq. 8 predicts stability at all partial pressures for the mass transfer coefficient that I predicted. It is, however, quite possible that the mass transfer coefficient that I predicted was too low. The model for the mass transfer coefficient that I used assumes a totally quiescent fluid above the evaporating films. Since no special precautions were taken to insure this, it is quite likely that there was some velocity above the films, especially in the case where the films were evaporating just into the large covered pan. Any velocities at all could drastically increase the mass transfer coefficient.

Wavelength, m 0.07 0.06 0.05 0.04 0.03 0.02 4.25E-7 5E-6 5E-5 0.0005 0.005 0.05 0.01 0 0 10 20 30 40 50 60 70 Dichloromethane Partial Pressure, kpa Figure 3: Effect of Dichloromethane Partial Pressure and Mass Transfer Coefficient on Observed Disturbance Wavelength. Values in the Legend represent k M, mol/pa/m 2 /s. Low dichloromethane partial pressures would occur in the large covered pan above the evaporating film without extra covered casting ring. Figure 4 shows the effect of mass transfer coefficient on the expected observed wavelength for a dichloromethane partial pressure of zero. As you can see from Figure 3, this infinite dilution observed wavelength approximates the observed wavelengths at most partial pressures of dichloromethane for all but the lowest mass transfer coefficients. Also, it is apparent that there is a critical mass transfer coefficient of about 2.5 10-6 mol/pa/m 2 /s below which all films are stable. The wavelength that I observed in my experiments for the case where the solvent was evaporating into the covered pan, without the extra covered casting ring, was about one to three mm. This corresponds to a mass transfer coefficient of ~1 10-4 mol/pa/m 2 /s.

1 Observed Wavelength, m 0.1 0.01 0.001 0.0001 1E-5 1.0E-6 1.0E-5 1.0E-4 1.0E-3 1.0E-2 1.0E-1 km, mol/pa/m2/s Figure 4: Effect of Mass Transfer Coefficient on the Expected Observed Wavelength for a Dichloromethane Partial Pressure of Zero. Conclusions Equations were developed for the stability coefficient and fastest growing wavelength for an evaporating film. These equations incorporate the effect of temperature driven Marangoni flows. They predict instability at high evaporation rates, as expected. They also predict that increasing heats of vaporization or decreasing thermal conductivities will make the film less stable, in agreement with intuition. A small amount of polymer in these films does not evaporate, leaving a snapshot of the disturbance at the time the solvent is finished evaporating. Unfortunately, these equations do not accurately predict experimentally observed wavelengths, but this could be due to inaccurate calculations of the mass transfer coefficient. If the calculated mass transfer coefficient is off by one order of magnitude, instability is predicted at low partial pressures of dichloromethane, which would be present if the solvent was evaporating into the large covered pan but not if the solvent was evaporating into the smaller covered casting ring. If the mass transfer coefficient is off by two orders of magnitude, then the equations for the observed wavelength accurately predict the experimentally observed wavelengths.