Lecture 3: Diffusion: Fick s first law



Similar documents
Repulsive Force

Question 3: How do you find the relative extrema of a function?

Fundamentals: NATURE OF HEAT, TEMPERATURE, AND ENERGY

New Basis Functions. Section 8. Complex Fourier Series

The example is taken from Sect. 1.2 of Vol. 1 of the CPN book.

CPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions

Econ 371: Answer Key for Problem Set 1 (Chapter 12-13)

Traffic Flow Analysis (2)

QUANTITATIVE METHODS CLASSES WEEK SEVEN

Vibrational Spectroscopy

AP Calculus AB 2008 Scoring Guidelines

by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia

ME 612 Metal Forming and Theory of Plasticity. 6. Strain

Basis risk. When speaking about forward or futures contracts, basis risk is the market

Mathematics. Mathematics 3. hsn.uk.net. Higher HSN23000

Foreign Exchange Markets and Exchange Rates

Introduction to Finite Element Modeling

Adverse Selection and Moral Hazard in a Model With 2 States of the World

C H A P T E R 1 Writing Reports with SAS

Lecture 20: Emitter Follower and Differential Amplifiers

EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS

SPECIAL VOWEL SOUNDS

International Association of Scientific Innovation and Research (IASIR) (An Association Unifying the Sciences, Engineering, and Applied Research)

Section 7.4: Exponential Growth and Decay

Current and Resistance

Factorials! Stirling s formula

81-1-ISD Economic Considerations of Heat Transfer on Sheet Metal Duct

5.4 Exponential Functions: Differentiation and Integration TOOTLIFTST:

Capacitance and Dielectrics

(Analytic Formula for the European Normal Black Scholes Formula)

SPREAD OPTION VALUATION AND THE FAST FOURIER TRANSFORM

ESCI 241 Meteorology Lesson 6 Humidity

A Theoretical Model of Public Response to the Homeland Security Advisory System

Constraint-Based Analysis of Gene Deletion in a Metabolic Network

TIME MANAGEMENT. 1 The Process for Effective Time Management 2 Barriers to Time Management 3 SMART Goals 4 The POWER Model e. Section 1.

5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power

Long run: Law of one price Purchasing Power Parity. Short run: Market for foreign exchange Factors affecting the market for foreign exchange

CIRCUITS AND ELECTRONICS. Basic Circuit Analysis Method (KVL and KCL method)

Chapter 5: Diffusion. 5.1 Steady-State Diffusion

An Broad outline of Redundant Array of Inexpensive Disks Shaifali Shrivastava 1 Department of Computer Science and Engineering AITR, Indore

Chapter 19: Permanent Magnet DC Motor Characteristics

Architecture of the proposed standard

Version 1.0. General Certificate of Education (A-level) January Mathematics MPC3. (Specification 6360) Pure Core 3. Final.

Development of Financial Management Reporting in MPLS

Chapter 4: Biochemical redox reactions

Category 7: Employee Commuting

HOMEWORK FOR UNIT 5-1: FORCE AND MOTION

Noise Power Ratio (NPR) A 65-Year Old Telephone System Specification Finds New Life in Modern Wireless Applications.

AP Calculus Multiple-Choice Question Collection connect to college success

Cloud and Big Data Summer School, Stockholm, Aug., 2015 Jeffrey D. Ullman

Remember you can apply online. It s quick and easy. Go to Title. Forename(s) Surname. Sex. Male Date of birth D

Financial Mathematics

Infrared Vibration-Rotation Spectroscopy of HCl and DCl

Planning and Managing Copper Cable Maintenance through Cost- Benefit Modeling

Entity-Relationship Model

Lecture notes: 160B revised 9/28/06 Lecture 1: Exchange Rates and the Foreign Exchange Market FT chapter 13

Van der Waals Forces Between Atoms

Production Costing (Chapter 8 of W&W)

Parallel and Distributed Programming. Performance Metrics

Analyzing the Economic Efficiency of ebaylike Online Reputation Reporting Mechanisms

A Project Management framework for Software Implementation Planning and Management

Electronic Commerce. and. Competitive First-Degree Price Discrimination

A Note on Approximating. the Normal Distribution Function

Performance Evaluation

Host Country: Czech Republic Other parties: Denmark Expected ERUs in : ~ 1,250,000 tco 2

June Enprise Rent. Enprise Author: Document Version: Product: Product Version: SAP Version:

Adsorption of Malachite Green Dye onto Activated Carbon Derived from Durian Peel

Gold versus stock investment: An econometric analysis

Fleet vehicles opportunities for carbon management

Effect of Design Parameter on the Performance of Lithium Ion Battery

Upper Bounding the Price of Anarchy in Atomic Splittable Selfish Routing

Expert-Mediated Search

Lecture 4: Thermodynamics of Diffusion: Spinodals

Finite Elements from the early beginning to the very end

CHAPTER 4c. ROOTS OF EQUATIONS

Lift Selection Guide

On the moments of the aggregate discounted claims with dependence introduced by a FGM copula

Precise Memory Leak Detection for Java Software Using Container Profiling

Physics 106 Lecture 12. Oscillations II. Recap: SHM using phasors (uniform circular motion) music structural and mechanical engineering waves

Higher. Exponentials and Logarithms 160

Projections - 3D Viewing. Overview Lecture 4. Projection - 3D viewing. Projections. Projections Parallel Perspective

AQA. Physical Education. Questions and Answers

Use a high-level conceptual data model (ER Model). Identify objects of interest (entities) and relationships between these objects

Key Management System Framework for Cloud Storage Singa Suparman, Eng Pin Kwang Temasek Polytechnic

The Neolithic transition, a major episode in human history, is

Free ACA SOLUTION (IRS 1094&1095 Reporting)

CALCULATING MARGINAL PROBABILITIES IN PROC PROBIT Guy Pascale, Memorial Health Alliance

LAB 3: VELOCITY AND ACCELERATION GRAPHS

Vector Network Analyzer

Sharp bounds for Sándor mean in terms of arithmetic, geometric and harmonic means

Fredy Vélez. Centro Tecnológico CARTIF, Valladolid, España.

Hardware Modules of the RSA Algorithm

Chapter 10 Function of a Matrix

The international Internet site of the geoviticulture MCC system Le site Internet international du système CCM géoviticole

Abstract. Introduction. Statistical Approach for Analyzing Cell Phone Handoff Behavior. Volume 3, Issue 1, 2009

CUTTING METHODS AND CARTESIAN ROBOTS KESME YÖNTEMLERİ VE KARTEZYEN ROBOTLAR

CPU. Rasterization. Per Vertex Operations & Primitive Assembly. Polynomial Evaluator. Frame Buffer. Per Fragment. Display List.

Estimating Aboveground Tree Biomass on Forest Land in the Pacific Northwest: A Comparison of Approaches

Incomplete 2-Port Vector Network Analyzer Calibration Methods

Transcription:

Lctur 3: Diffusion: Fick s first law Today s topics What is diffusion? What drivs diffusion to occur? Undrstand why diffusion can surprisingly occur against th concntration gradint? Larn how to dduc th Fick s first law, and undrstand th maning of diffusion cofficint and diffusion lngth. In last two lcturs, w larnd th thrmodynamics, concrnd mainly with stabl or quilibrium systms. Th study of matrials Kintics, lik phas transformation, concrns thos mchanism by which a systm attmpts to rach th quilibrium stat and how long it taks. On of th most fundamntal procsss that control th rat at which many transformation occur is th diffusion, as w will larn in th following svral lcturs and us throughout th whol smstr. Gnral rviw of diffusion: Diffusion dscribs th sprad of particls (which can also b atoms, molculs) through random motion usually (but not always) from rgions of highr concntration to rgions of lowr concntration. Th tim dpndnc of th statistical distribution in spac is givn by th diffusion quation. Th concpt of diffusion is tid to that of mass transfr drivn by a concntration gradint, but diffusion can still occur whn thr is no concntration gradint (but thr will b no nt flux). History: Th concpt of diffusion mrgd from physical scincs. Th paradigmatic xampls wr hat diffusion, molcular diffusion and rownian motion. Thir mathmatical dscription was laboratd by Josph Fourir in 8, dolf Fick in 855 and by lbrt Einstin in 905. Spcifically, atomic diffusion is a diffusion procss whrby th random thrmally-activatd movmnt of atoms in a solid rsults in th nt transport of atoms. For xampl, hlium atoms insid a balloon can diffus through th wall of th balloon and scap, rsulting in th balloon slowly dflating. Othr air molculs (.g. oxygn, nitrogn) hav lowr mobilitis and thus diffus mor slowly through th balloon wall. Thr is a concntration gradint in th balloon wall, bcaus th balloon was initially filld with hlium, and thus thr is plnty of hlium on th insid, but thr is rlativly littl hlium on th outsid (hlium is not a major componnt of air). Th rat of transport is govrnd by th diffusivity and th concntration gradint. Diffusion in solid: In th crystal solid stat, diffusion within th crystal lattic occurs by ithr intrstitial or substitutional mchanisms and is rfrrd to as lattic diffusion. In intrstitial lattic diffusion, a diffusant (such as C in an iron alloy), will diffus in btwn th lattic structur of anothr crystallin lmnt. In substitutional lattic diffusion (slf-diffusion for xampl), th

atom can only mov by substituting plac with anothr atom. Substitutional lattic diffusion is oftn contingnt upon th availability of point vacancis throughout th crystal lattic. Diffusing particls migrat from point vacancy to point vacancy by th rapid, ssntially random jumping about (jump diffusion). S blow in this Lctur for dtails about intrstitial or substitutional. Diffusion is drivn by dcras in Gibbs fr nrgy or chmical potntial diffrnc. s a simpl illustration of this, considr th figur blow, whr two blocks of th sam - solid solution, but with diffrnt compositions (concntrations), ar wldd togthr and hld at a tmpratur high nough for long rang diffusion to occur. Cas : along concntration gradint - rich - rich μ G G a G μ G m For cas : μ > μ > => gos from to => gos from to Th molar fr nrgy diagram of th - alloy is shown at right: th molar fr nrgy of ach part is givn by G and G, and th initial total fr nrgy of th wldd block is G a, upon th diffusion as illustratd on th lft (so as to liminat th concntration diffrnc), th total fr nrgy dcrass towards G m, th fr nrgy charactristic of a homognous systm. In this cas, th dcras in fr nrgy is producd by and diffusion along th concntration gradint. Howvr, diffusion nds not always b along th concntration gradint. For xampl, in th alloy systms that contain a miscibility gap, th fr nrgy curv can hav a ngativ curvatur at low tmpratur, as shown blow in Cas. In such a cas, and atoms would diffus against th concntration gradint (i.., toward th rgions of high concntration as shown at lft blow), though this diffusion is still a natural (spontanous) procss as it rducs th total fr nrgy from G a to G m as shown. For cas : μ > μ > => gos from to => gos from to

Cas : against concntration gradint - rich - rich μ G G a G μ G m Diffusion is always along chmical potntial gradint! Diffusion stops whn chmical potntial of all spcis vrywhr ar sam. In most cass, chmical potntial incrass with incrasing concntration, so it is convnint to xprss diffusion in trm of concntration. Now lts considr Intrstitial diffusion vs. Substitutional diffusion: Intrstitial Substitutional (by vacancy) Considrd at low concntration Now Lt s dduc th Diffusion Equation for intrstitial diffusion basd on th following illustration, moving from position to. 3

x x+a c (x) ~ concntration at x, dc c (x+a) = c(x) + a ~ concntration at x+a μ(x) ~ chmical potntial at x, ΔG ~ activation barrir d µ( x) μ(x+a) =μ(x) + a ~ chmical potntial at x+a Th forward rat - G G ; RT --- s last Lctur for how to dduc this quation with an assumption that ΔG << RT, and this is usually tru for diffusion, whr th fr nrgy chang within short distanc is small. ΔG = G (x+a) - G (x) = μ(x+a) - μ(x) (hr ΔG is only contributd by th chang in chmical potntial ) Now G RT = µ ( x + a) µ ( x) a dµ = RT RT RT d µ( x) (as dfind abov, μ(x+a) =μ(x) + a ) Lt ν b vibrational frquncy, thn an atom will hav nough nrgy in unit tim (pr scond) to ovrcom th barrir ν can dfin as Γ. - G tims, i.., th numbr of jump of stp a pr scond, which w Γ = ν - G In a thr-dimnsional spac (lattic), an atom can jump in six quivalnt dirctions (±x, ±y, ±z), ν so th numbr of jumps toward right (along x ) in on scond is. So, th nt forward rat for an atom to jump from x to x+a is 4

Rat = ν a dµ dµ (- ) (whr <0) RT Lt n(x) b th numbr of atoms (solut) pr unit ara at x, thn th nt flux along x. (i.., numbr of atom passing through unit ara in unit tim along x ) is ν J = n(x) a dµ (- ) () RT Sinc n(x) = a c(x), Eq. () can b writtn as J = - c ( x) dµ RT () Now lt s considr th xprssion of chmical potntial as w larnd in th cours of Thrmodynamics: μ(x) = μ 0 + RTlna(x) = μ 0 + RT ln γ cx ( ) whr a(x) is th activity of solut (atom) at x, γ is th activity cofficint, a constant. Thn, w hav dµ RT dc ( x) = c(x) (3) Substituting Eq. (3) into Eq. (), w hav J = - dc ( x) (4) Lt s dfin D = Thn w hav dc ( x) J = -D as th intrinsic diffusion cofficint (Unit: D: cm /sc; J: numbr/cm /sc) This is th Fick s first law of diffusion. 5

Now, lt s considr diffusion in a thr-dimnsional spac, i.., random walk of an atom: s dfind on pag 4, Γ = ν - G Combining with D = W hav D = Γ a = Thn w hav - G Γ= ν = D / a (Γ: numbr of jump an atom mak pr scond) For a random walk in thr-dimnsions, an atom travls an avrag distanc of stps (i.., n tims of jump) with a stp lngth of a. n a aftr n Thus, aftr tim t, th atom jumps Γ t tims (stps). So it movs a distanc of r = a Dt Γ t = a a = D t.4 D t This is usually dfind as th diffusion lngth.