Mass Transfer Chapter 3. Diffusion in Concentrated Solutions
|
|
- Amberly Lewis
- 5 years ago
- Views:
Transcription
1 Mass Trasfer Chapter 3 Diffusio i Coetrated Solutios. Otober 07
2 3. DIFFUSION IN CONCENTRATED SOLUTIONS 3. Theor Diffusio auses ovetio i fluids Covetive flow ours beause of pressure gradiets (most ommo) or temperature differees (buoa or free or atural ovetio). However eve i isothermal ad isobari sstems, ovetio a our due to diffusio. This is alled diffusioidued ovetio I geeral, diffusio ad ovetio alwas our together i fluids. Maxwell (860): Mass trasfer is due partl to the motio of traslatio ad partl that of agitatio. Mass Trasfer Diffusio i Coetrated Solutios 3-
3 A first example to illustrate diffusio-idued ovetio: Evaporatio of Beee At 6 C the beee vapor is dilute ad evaporatio is limited b diffusio. At 80. C beee boils (p atm). Evaporatio is otrolled b ovetio. At 60 C a itermediate ase ours i whih both diffusio ad ovetio are importat. Mass Trasfer Diffusio i Coetrated Solutios 3-3
4 Aalsis of the ase at 60 C: Coetratio of beee (speies ) ad air (speies ) at h:,h, ( 0); p,h p, ( 0);,h max p,h p (air blows awa ad dilutes beee vapor). At 0:,0 f (T,p) >,h ad,0 <,h p,0 f (T,p) > p,h ad p,0 < p,h Mass Trasfer Diffusio i Coetrated Solutios 3-4
5 The differee i oetratios (or partial pressures) betwee 0 ad h gives rise to upward diffusio of beee from the liquid surfae ad dowward diffusio of air. Sie the beee surfae is osidered impermeable to air, a ovetive upwardpoitig flux must ompesate the dowward diffusive flux of air! This is the Stefa flow! NOTE: This ovetio also trasports beee moleules! Mass Trasfer Diffusio i Coetrated Solutios 3-5
6 Determie oetratio profile ad flux for the 60 C ase Mass balae for speies i at stead state: J i,ov () + J i,diff () J i,ov ( + ) + J i, diff ( + ) Diffusive flux: J i, diff D A d d Covetive flux with veloit u: J i,ov i u A Mass Trasfer Diffusio i Coetrated Solutios 3-6
7 u + D Divide b A Δ ad Δ 0: i i 0 () For pratiabilit we trasform molar oetratios ito mole fratios: M, ( ) M, + M, + V where M,i is the umber of moles of speies i. If is give as a mass oetratio the trasformatio ito mole fratios is: V M with the average molar mass ρ M k M i M i Mass Trasfer Diffusio i Coetrated Solutios 3-7
8 Mass Trasfer Diffusio i Coetrated Solutios 3-8 So () a be rewritte as: 0 + D u i i () Itegratio of eq. () for speies (beee): C D u (3) The two terms are the ovetive ad diffusive molar flux desities. The sum of the molar fluxes is ostat. Itegratio of eq. () for speies (air) with ( ) C D u + (4)
9 Sie air does ot aumulate ad aot peetrate the beee surfae, the total (overall) molar flux of air is ero. Thus C 0 Eq. (4) is rewritte as: ( ) Itegratio of (5) with B.C.,0 at 0: ( ) ( ) u D D (5) u e (6), 0 Determie veloit u with B.C.,h at h: u D h l, h,0 (7) Mass Trasfer Diffusio i Coetrated Solutios 3-9
10 Isertig eq. (7) ito (6) gives the oetratio profile: ( ) ( ),0, h,0 h (8) With the oetratio profile ad eq. (3) we a obtai the total molar flux: j tot D h l, h,0 (9) This tpe of approah leads to the Stefa-Maxwell equatios for multi-ompoet diffusio i oetrated solutios. Mass Trasfer Diffusio i Coetrated Solutios 3-0
11 Separatig Covetio from Diffusio Cussler s Approah Now, Cussler approahes this topi slightl differet but gets to the same results: Agai, assume that the two trasport effets are additive: total mass trasported mass trasported + b diffusio mass trasported b ovetio If the total mass flux is, the mass trasported per area per time relative to fixed oordiates: v where v is the average solute veloit (veloit due to ovetio ad superimposed diffusio). Mass Trasfer Diffusio i Coetrated Solutios 3-
12 The total average solute veloit a be split ito oe part due to diffusio ad oe due to ovetio, alled referee veloit v a : ( a ) a a a v v + v j + v diffusive flux ovetio The art is to selet v a i suh a wa that the ovetio term is simplified or ideall: v a 0. For example v a is the veloit of the solvet beause the solvet is usuall i exess so its trasfer is miimal (i other words the differee i solvet oetratio is too small aross the solutio). That wa we elimiate ovetio ad deal with a SIMPLER problem. Mass Trasfer Diffusio i Coetrated Solutios 3-
13 Two-bulb apparatus (Diaphragmell) for uderstadig differet defiitios of referee veloities. Volume average veloit 0 Molar average veloit 0 Mass average veloit 0 Fial eter of moles Iitial eter of moles Volume average veloit 0 Molar average veloit 0 Mass average veloit 0 Mass Trasfer Diffusio i Coetrated Solutios 3-3
14 For gases (e.g. H ad N ) at equal T ad p the umber of moles is alwas the same i both sides. Similarl the volume i both sides is the same. As a result, the v 0 0 volume average veloit v * 0 molar average veloit v 0 mass average veloit, beause the masses of N ad H are differet. As a result, as time goes b the eter of mass i the two-bulb apparatus moves awa from the bulb otaiig N iitiall. Thus the mass average veloit v is ot ero. Mass Trasfer Diffusio i Coetrated Solutios 3-4
15 For liquids: The volume is earl alwas ostat. v 0 0 volume average veloit v 0 mass average veloit. This is usuall orret as liquid desities differ little. e.g. ρ HO g/m 3 ρ Glerol. g/m 3 However, the molar oetratio is usuall quite differet followig large differees i moleular weight. e.g. MW HO 8 g/mol ad MW Glerol 9 g/mol So v * 0 molar average veloit for liquids. I olusio: For gases use as referee veloit v a the v 0 or v *, while for liquids use v 0 or v. Mass Trasfer Diffusio i Coetrated Solutios 3-5
16 Mass Trasfer Diffusio i Coetrated Solutios 3-6
17 Table leged: ω i : mass fratio of speies i i : mole fratio of speies i i V i: volume fratio of speies i, where is the partial speifi volume of speies. Vi Preisel: Partial speifi volume: V i V mi p, T, m j Partial molar volume: V i V M,i p,t, M, j The partial speifi or molar volume expresses how muh a volume hages upo additio of a ertai mass or umber of moles of a give ompoet. Mass Trasfer Diffusio i Coetrated Solutios 3-7
18 For ideal gases (pv RT), V a be expressed as: i V V M, ( + ) RT p M, M, R T M, M, p p,t, p,t, M, Mass Trasfer Diffusio i Coetrated Solutios 3-8
19 3. Examples for Parallel Diffusio ad Covetio Example 3..: Fast diffusio through a stagat film Goal: Calulate the flux ad the oetratio profile Remember that at itermediate temperatures both diffusio ad ovetio affet the evaporatio of beee (or a other solute). Now both diffusio ad ovetio are importat! Mass Trasfer Diffusio i Coetrated Solutios 3-9
20 . Step: Mass balae solute aumulated i volume A solute trasported i at solute trasported out at + t ( A ) A A + Divide b A ad as volume 0 t At stead state: 0 Mass Trasfer Diffusio i Coetrated Solutios 3-0
21 . Step: Choose ad simplif mass trasport equatio Now the flux is affeted b both diffusio ad ovetio. For simpliit we hoose v a v 0 (volume average veloit) 0 d j + v D + (Vv + V v ) d Note that v ad v The total average flux of the solvet (air) is ero (it seems to be stagat), sie it aot peetrate ito the liquid phase ad does ot aumulate. Therefore 0 ad v 0. Mass Trasfer Diffusio i Coetrated Solutios 3-
22 d + d D V So or ( V ) D d d If the vapor is a ideal gas, the V V ( + ) V ad ( ) D d d () 3. Step: Boudar oditios 0: 0 () L: L (3) Mass Trasfer Diffusio i Coetrated Solutios 3-
23 Solve eq. () subjet to BC s to determie D l 0 Total Flux of beee (4) Note that doublig the oetratio differee DOES NOT double the flux, as i dilute sstems. Compare to our iitial result for ombied diffusio ad ovetio of beee (page 3-0): j tot C D l h, h,0 The diret approah ad the oe usig the referee veloit give the same results! Mass Trasfer Diffusio i Coetrated Solutios 3-3
24 Itegratig eq. () also for 0 to ad 0 to ad assumig that does ot hage with height (whih is a fair assumptio here as the ross-setioal area does ot hage) gives: 0 0 Coetratio profile (5) With (5) ad Fik's law we a determie the diffusive flux: j d D d D 0 0 l 0 Diffusive Flux of beee (6) Mass Trasfer Diffusio i Coetrated Solutios 3-4
25 Now does this result (eq. 5,6) redue to that for dilute solutios? Expasio ito series for small (dilute sstem small o. ): 0 0 a a( a ) a( a )( a ) 3 ± ± a + ± + ± a (7)! 3! ( ) ( ) ( + ) a( a + )( a + ) a a a + +! 3! ± a 3 Here for l, thus a: + (8) 3 ( ) l 3 (9) Mass Trasfer Diffusio i Coetrated Solutios 3-5
26 Let s appl eq. (8) to eq. (5) [( )( + )] [ + ] ( ) + ( 0) 0 ( ) + + ( ) (0) If we rearrage ad multipl both sides of eq. (0) with 0 + ( 0) () Mass Trasfer Diffusio i Coetrated Solutios 3-6
27 Likewise for the flux from eq. (4) D D [ l( ) l( )] D [ + 0] (0 ) Eq 9 0 () Eq. () ad () are idetial to the dilute limit oes! Mass Trasfer Diffusio i Coetrated Solutios 3-7
28 Example 3..: Calulate the error assoiated with the eglet of diffusio-drive ovetio whe estimatig the evaporatio rate of 6 C 60 C. a) At 6 C the saturatio vapor pressure is p (sat) 37 mmhg p (sat) 37 Mole fratio p 760 Total flux at stead-state for oetrated solutio: D D 0 l l Total flux for dilute solutio: 0.05 D D D D j ( 0 ) ( ) Ol % error! Mass Trasfer Diffusio i Coetrated Solutios
29 b) At 60 C the saturatio vapor pressure is p (sat) 395 mmhg Mole fratio Coetrated solutio: D D 0 l l / D Dilute solutio: D ( ) D j D There is 40% error!! Mass Trasfer Diffusio i Coetrated Solutios 3-9
30 Mass Trasfer Diffusio i Coetrated Solutios l D 0 0 (6): Phsial piture for speies : (4): (5): l D d d D j
31 Example 3..3: Hdroge produtio b atalti rakig of CH 4 Methae gas is raked at the surfae of a solid atalst formig hdroge ad a solid arbo deposit. Goal: Total methae (molar) flux per uit area at stead state? Catalst surfae CH 4 CH 4(g) C (s) + H (g) Carbo deposit 0 H Mass Trasfer Diffusio i Coetrated Solutios 3-3
32 Choose ad simplif mass trasport equatio: Note: For proesses with hemial reatios, it is best to use the molar flux ad the molar average veloit! Thus, from Table 3..: with d d * * j + V D + v () v + v () v * + Now mole of CH 4 gives moles of H, flowig i the opposite diretio. Therefore, i eq. (): So: * v d D d Mass Trasfer Diffusio i Coetrated Solutios 3-3
33 Use molar fratios d d D ( + ) d D (3) d B.C.: 0:,0 0 (due to deompositio) L:,L (some measured o. at L) Itegratio of (3) subjet to B.C.s ields: l ( + ) D L L Or the geeral form if,0 0: D L + l +, L,0 Mass Trasfer Diffusio i Coetrated Solutios 3-33
34 Example 3..4: Fast Diffusio ito Semi-Ifiite Slab A volatile liquid solute evaporates ito a log apillar. There is o solvet (air) flow aross the apillar, blowig the solute awa. As a result, the solute aumulates i the apillar. Iitiall the apillar otais o solute. As the solute evaporates the iterfae betwee the vapor ad the liquid solute drops. Goal: Calulate the solute evaporatio rate aoutig for diffusio-idued ovetio ad the effet of movig iterfae. Mass Trasfer Diffusio i Coetrated Solutios 3-34
35 Mass balae: solute aummulatio i A solute trasport i solute trasport out t ( ) A ( A ) ( A ) + Divide b A ad as 0: t Choose ad simplif mass trasport equatio: 0 j + v 0 with v V v + V v V + V 0 I (): D v () t Now fid a expressio for v 0! () Mass Trasfer Diffusio i Coetrated Solutios 3-35
36 Mass Trasfer Diffusio i Coetrated Solutios 3-36 I the ustead ase, the solvet flux varies with positio ad time but the solvet gas does ot dissolve i the liquid, thus at the iterfae (0): 0. ( ) 0 0 D V (3) ( ) 0 0 V D V V D ad ( ) 0 0 V D ( ) ost V V D V v 0 0 So,
37 Mass Trasfer Diffusio i Coetrated Solutios 3-37 t 0 > 0 0 t > 0 0 (sat) 0 Boudar oditios: Defie ombied variable (as i the dilute ase): t D ζ 4 with B.C. ζ 0 (sat) ζ 0 V D V D t 0 + (4) Isert i ():
38 (4) beomes: d d + ( ζ Φ) 0 (5) dζ dζ V ζ where Φ V (6) ζ 0 I eq. (5) Φ is a dimesioless veloit harateriig the ovetio b diffusio ad the movemet of the iterfae. Note that if Φ 0 the problem redues to that of diffusio i dilute oetratios!! ζ Eq. (5) is itegrated to give: ( ) [ ] os tat exp ( ζ Φ) Mass Trasfer Diffusio i Coetrated Solutios 3-38
39 d itegratio ad isertio of B.C.: ( sat) erf + erf ( ζ Φ) ( Φ) (7) eq. (6) (7): V (sat) + π ( ( )) [ ] + erf Φ Φ exp Φ Calulate ow also the iterfaial flux (see eq. 3) N eq. 4 0 D V D / π t (sat) 0 dilute limit V (sat) exp + erf [ ] Φ ( Φ) Mass Trasfer Diffusio i Coetrated Solutios 3-39
40 Mass Trasfer Diffusio i Coetrated Solutios 3-40
ME260W Mid-Term Exam Instructor: Xinyu Huang Date: Mar
ME60W Mid-Term Exam Istrutor: Xiyu Huag Date: Mar-03-005 Name: Grade: /00 Problem. A atilever beam is to be used as a sale. The bedig momet M at the gage loatio is P*L ad the strais o the top ad the bottom
More informationAfter the completion of this section the student. V.4.2. Power Series Solution. V.4.3. The Method of Frobenius. V.4.4. Taylor Series Solution
Chapter V ODE V.4 Power Series Solutio Otober, 8 385 V.4 Power Series Solutio Objetives: After the ompletio of this setio the studet - should reall the power series solutio of a liear ODE with variable
More informationFluids Lecture 2 Notes
Fluids Leture Notes. Airfoil orte Sheet Models. Thi-Airfoil Aalysis Problem Readig: Aderso.,.7 Airfoil orte Sheet Models Surfae orte Sheet Model A aurate meas of represetig the flow about a airfoil i a
More informationANOTHER PROOF FOR FERMAT S LAST THEOREM 1. INTRODUCTION
ANOTHER PROOF FOR FERMAT S LAST THEOREM Mugur B. RĂUŢ Correspodig author: Mugur B. RĂUŢ, E-mail: m_b_raut@yahoo.om Abstrat I this paper we propose aother proof for Fermat s Last Theorem (FLT). We foud
More informationClass #25 Wednesday, April 19, 2018
Cla # Wedesday, April 9, 8 PDE: More Heat Equatio with Derivative Boudary Coditios Let s do aother heat equatio problem similar to the previous oe. For this oe, I ll use a square plate (N = ), but I m
More informationBernoulli Numbers. n(n+1) = n(n+1)(2n+1) = n(n 1) 2
Beroulli Numbers Beroulli umbers are amed after the great Swiss mathematiia Jaob Beroulli5-705 who used these umbers i the power-sum problem. The power-sum problem is to fid a formula for the sum of the
More informationDigital Signal Processing. Homework 2 Solution. Due Monday 4 October Following the method on page 38, the difference equation
Digital Sigal Proessig Homework Solutio Due Moda 4 Otober 00. Problem.4 Followig the method o page, the differee equatio [] (/4[-] + (/[-] x[-] has oeffiiets a0, a -/4, a /, ad b. For these oeffiiets A(z
More informationREQUIREMENTS FOR EFFICIENT TRANSISTOR OPERATION I B. Icn. I cp
RQURMNS FOR FFCN RANSSOR OPRAON r 1. AN so that the fudametal basis of trasistor atio, that of a urret otrolled by a small voltage flowig aross a large resistor to geerate a large voltage is maitaied.
More informationChapter MOSFET
Chapter 17-1. MOFET MOFET-based ICs have beome domiat teholog i the semiodutor idustr. We will stud the followig i this hapter: - Qualitative theor of operatio - Quatitative I D -versus-v D harateristis
More informationObserver Design with Reduced Measurement Information
Observer Desig with Redued Measuremet Iformatio I pratie all the states aot be measured so that SVF aot be used Istead oly a redued set of measuremets give by y = x + Du p is available where y( R We assume
More informationThe beta density, Bayes, Laplace, and Pólya
The beta desity, Bayes, Laplae, ad Pólya Saad Meimeh The beta desity as a ojugate form Suppose that is a biomial radom variable with idex ad parameter p, i.e. ( ) P ( p) p ( p) Applyig Bayes s rule, we
More informationChapter 14: Chemical Equilibrium
hapter 14: hemical Equilibrium 46 hapter 14: hemical Equilibrium Sectio 14.1: Itroductio to hemical Equilibrium hemical equilibrium is the state where the cocetratios of all reactats ad products remai
More informationλ = 0.4 c 2nf max = n = 3orɛ R = 9
CHAPTER 14 14.1. A parallel-plate waveguide is kow to have a utoff wavelegth for the m 1 TE ad TM modes of λ 1 0.4 m. The guide is operated at wavelegth λ 1 mm. How may modes propagate? The utoff wavelegth
More informationSolutions 3.2-Page 215
Solutios.-Page Problem Fid the geeral solutios i powers of of the differetial equatios. State the reurree relatios ad the guarateed radius of overgee i eah ase. ) Substitutig,, ad ito the differetial equatio
More informationSx [ ] = x must yield a
Math -b Leture #5 Notes This wee we start with a remider about oordiates of a vetor relative to a basis for a subspae ad the importat speial ase where the subspae is all of R. This freedom to desribe vetors
More information(b) What is the probability that a particle reaches the upper boundary n before the lower boundary m?
MATH 529 The Boudary Problem The drukard s walk (or boudary problem) is oe of the most famous problems i the theory of radom walks. Oe versio of the problem is described as follows: Suppose a particle
More informationRecurrences: Methods and Examples
Reurrees: Methods ad Examples CSE 30 Algorithms ad Data Strutures Alexadra Stefa Uiversity of exas at Arligto Updated: 308 Summatios Review Review slides o Summatios Reurrees Reursive algorithms It may
More informationChapter 4. Fourier Series
Chapter 4. Fourier Series At this poit we are ready to ow cosider the caoical equatios. Cosider, for eample the heat equatio u t = u, < (4.) subject to u(, ) = si, u(, t) = u(, t) =. (4.) Here,
More informationU8L1: Sec Equations of Lines in R 2
MCVU U8L: Sec. 8.9. Equatios of Lies i R Review of Equatios of a Straight Lie (-D) Cosider the lie passig through A (-,) with slope, as show i the diagram below. I poit slope form, the equatio of the lie
More informationFluxes in Multicomponent Systems
Fluxes i Multicompoet Systems ChE 6603 Taylor & Krisha 1.1-1.2 Friday, Jauary 14, 2011 1 Outlie Referece velocities Types of fluxes (total, covective, diffusive) Total fluxes Diffusive Fluxes Example Coversio
More informationHomework Set 4. gas B open end
Homework Set 4 (1). A steady-state Arnold ell is used to determine the diffusivity of toluene (speies A) in air (speies B) at 298 K and 1 atm. If the diffusivity is DAB = 0.0844 m 2 /s = 8.44 x 10-6 m
More informationAppendix: The Laplace Transform
Appedix: The Laplace Trasform The Laplace trasform is a powerful method that ca be used to solve differetial equatio, ad other mathematical problems. Its stregth lies i the fact that it allows the trasformatio
More informationChapter 2 Feedback Control Theory Continued
Chapter Feedback Cotrol Theor Cotiued. Itroductio I the previous chapter, the respose characteristic of simple first ad secod order trasfer fuctios were studied. It was show that first order trasfer fuctio,
More informationLesson 4. Thermomechanical Measurements for Energy Systems (MENR) Measurements for Mechanical Systems and Production (MMER)
Lesso 4 Thermomehaial Measuremets for Eergy Systems (MENR) Measuremets for Mehaial Systems ad Produtio (MMER) A.Y. 15-16 Zaaria (Rio ) Del Prete RAPIDITY (Dyami Respose) So far the measurad (the physial
More informationn n. y i, 1 Composition (mole fraction) t i Time (s) N2 H2 NH3
Ammoia sthesis via Haber-Bosch process Istructor: Nam Su Wag ammoiarxseideraspemcd Ammoia sthesis 5 N 2 + 5 H 2 NH 3 Reactio stoichiometr ( ) ( 2 ) ( 5 5 ) R 834 J/(mole K)=kJ/(kmole K) Reactio rate, i
More informationMass Transfer (Stoffaustausch) Fall 2012
Mass Transfer (Stoffaustaush) Fall Examination 9. Januar Name: Legi-Nr.: Edition Diffusion by E. L. Cussler: none nd rd Test Duration: minutes The following materials are not permitted at your table and
More informationMass Transfer 2. Diffusion in Dilute Solutions
Mass Transfer. iffusion in ilute Solutions. iffusion aross thin films and membranes. iffusion into a semi-infinite slab (strength of weld, tooth deay).3 Eamples.4 ilute diffusion and onvetion Graham (85)
More information= 47.5 ;! R. = 34.0 ; n air =
Setio 9: Refratio ad Total Iteral Refletio Tutorial Pratie, page 449 The agle of iidee is 65 The fat that the experimet takes plae i water does ot hage the agle of iidee Give:! i = 475 ;! R = 340 ; air
More informationThe following data were obtained in a homogenous batch reactor for the esterification of butanol (B) with acetic acid (A):
Departmet of Eerg Politecico di Milao ia Lambruschii 4-256 MILNO Exercises of udametals of hemical Processes Prof. Giapiero Groppi EXERISE Reactor for the esterificatio of butaol The followig data were
More informationMa 530 Introduction to Power Series
Ma 530 Itroductio to Power Series Please ote that there is material o power series at Visual Calculus. Some of this material was used as part of the presetatio of the topics that follow. What is a Power
More informationSolutions to Final Exam Review Problems
. Let f(x) 4+x. Solutios to Fial Exam Review Problems Math 5C, Witer 2007 (a) Fid the Maclauri series for f(x), ad compute its radius of covergece. Solutio. f(x) 4( ( x/4)) ( x/4) ( ) 4 4 + x. Sice the
More informationI. Existence of photon
I. Existee of photo MUX DEMUX 1 ight is a eletromageti wave of a high frequey. Maxwell s equatio H t E 0 E H 0 t E 0 H 0 1 E E E Aos( kzt ) t propagatig eletrial field while osillatig light frequey (Hz)
More informationEffect of Magnetic Field on Marangoni Convection in Relatively Hotter or Cooler Liquid Layer
Iteratioal Joural of Advaed Researh i Physial Siee (IJARPS) Volume, Issue, Jauary 05, PP 7-3 ISSN 349-7874 (Prit) & ISSN 349-788 (Olie) www.arjourals.org ffet of Mageti Field o Maragoi Covetio i Relatively
More informationCOMM 602: Digital Signal Processing
COMM 60: Digital Sigal Processig Lecture 4 -Properties of LTIS Usig Z-Trasform -Iverse Z-Trasform Properties of LTIS Usig Z-Trasform Properties of LTIS Usig Z-Trasform -ve +ve Properties of LTIS Usig Z-Trasform
More informationRecurrence Relations
Recurrece Relatios Aalysis of recursive algorithms, such as: it factorial (it ) { if (==0) retur ; else retur ( * factorial(-)); } Let t be the umber of multiplicatios eeded to calculate factorial(). The
More informationPhysics 3 (PHYF144) Chap 8: The Nature of Light and the Laws of Geometric Optics - 1
Physis 3 (PHYF44) Chap 8: The Nature of Light ad the Laws of Geometri Optis - 8. The ature of light Before 0 th etury, there were two theories light was osidered to be a stream of partiles emitted by a
More informationUnit 5. Gases (Answers)
Uit 5. Gases (Aswers) Upo successful completio of this uit, the studets should be able to: 5. Describe what is meat by gas pressure.. The ca had a small amout of water o the bottom to begi with. Upo heatig
More informationREVERSIBLE NON-FLOW PROCESS CONSTANT VOLUME PROCESS (ISOCHORIC PROCESS) In a constant volume process, he working substance is contained in a rigid
REVERSIBLE NON-FLOW PROCESS CONSTANT VOLUME PROCESS (ISOCHORIC PROCESS) I a ostat olume roess, he workig substae is otaied i a rigid essel, hee the boudaries of the system are immoable, so work aot be
More informationTHE MEASUREMENT OF THE SPEED OF THE LIGHT
THE MEASUREMENT OF THE SPEED OF THE LIGHT Nyamjav, Dorjderem Abstrat The oe of the physis fudametal issues is a ature of the light. I this experimet we measured the speed of the light usig MihelsoÕs lassial
More informationPhysics Supplement to my class. Kinetic Theory
Physics Supplemet to my class Leaers should ote that I have used symbols for geometrical figures ad abbreviatios through out the documet. Kietic Theory 1 Most Probable, Mea ad RMS Speed of Gas Molecules
More informationBasic Probability/Statistical Theory I
Basi Probability/Statistial Theory I Epetatio The epetatio or epeted values of a disrete radom variable X is the arithmeti mea of the radom variable s distributio. E[ X ] p( X ) all Epetatio by oditioig
More informationChE 471 Lecture 10 Fall 2005 SAFE OPERATION OF TUBULAR (PFR) ADIABATIC REACTORS
SAFE OPERATION OF TUBULAR (PFR) ADIABATIC REACTORS I a exothermic reactio the temperature will cotiue to rise as oe moves alog a plug flow reactor util all of the limitig reactat is exhausted. Schematically
More informationMost text will write ordinary derivatives using either Leibniz notation 2 3. y + 5y= e and y y. xx tt t
Itroductio to Differetial Equatios Defiitios ad Termiolog Differetial Equatio: A equatio cotaiig the derivatives of oe or more depedet variables, with respect to oe or more idepedet variables, is said
More informationLecture 1: Semiconductor Physics I. Fermi surface of a cubic semiconductor
Leture 1: Semiodutor Physis I Fermi surfae of a ubi semiodutor 1 Leture 1: Semiodutor Physis I Cotet: Eergy bads, Fermi-Dira distributio, Desity of States, Dopig Readig guide: 1.1 1.5 Ludstrom 3D Eergy
More informationLecture 3. Digital Signal Processing. Chapter 3. z-transforms. Mikael Swartling Nedelko Grbic Bengt Mandersson. rev. 2016
Lecture 3 Digital Sigal Processig Chapter 3 z-trasforms Mikael Swartlig Nedelko Grbic Begt Madersso rev. 06 Departmet of Electrical ad Iformatio Techology Lud Uiversity z-trasforms We defie the z-trasform
More informationSolutions to Equilibrium Practice Problems
Solutios to Equilibrium Practice Problems Chem09 Fial Booklet Problem 1. Solutio: PO 4 10 eq The expressio for K 3 5 P O 4 eq eq PO 4 10 iit 1 M I (a) Q 1 3, the reactio proceeds to the right. 5 5 P O
More informationChapter 15: Chemical Equilibrium
Chapter 5: Chemial Equilibrium ahoot!. At eq, the rate of the forward reation is the rate of the reverse reation. equal to, slower than, faster than, the reverse of. Selet the statement that BEST desribes
More informationProblem 4: Evaluate ( k ) by negating (actually un-negating) its upper index. Binomial coefficient
Problem 4: Evaluate by egatig actually u-egatig its upper idex We ow that Biomial coefficiet r { where r is a real umber, is a iteger The above defiitio ca be recast i terms of factorials i the commo case
More information(8) 1f = f. can be viewed as a real vector space where addition is defined by ( a1+ bi
Geeral Liear Spaes (Vetor Spaes) ad Solutios o ODEs Deiitio: A vetor spae V is a set, with additio ad salig o elemet deied or all elemets o the set, that is losed uder additio ad salig, otais a zero elemet
More informationDr R Tiwari, Associate Professor, Dept. of Mechanical Engg., IIT Guwahati,
Dr R Tiwari, Assoiate Professor, Dept. of Mehaial Egg., IIT Guwahati, (rtiwari@iitg.eret.i).3 Measuremet ad Sigal Proessig Whe we ivestigate the auses of vibratio, we first ivestigate the relatioship betwee
More informationOrganic Electronic Devices
Orgai letroi Devies Week 3: Charge rasport Leture 3.3: Multiple rap ad Release MR Model Brya W. Boudouris Chemial gieerig Purdue Uiversity Leture Overview ad Learig Objetives Coepts to be Covered i this
More informationSociété de Calcul Mathématique SA Mathematical Modelling Company, Corp.
oiété de Calul Mathéatique A Matheatial Modellig Copay, Corp. Deisio-aig tools, sie 995 iple Rado Wals Part V Khihi's Law of the Iterated Logarith: Quatitative versios by Berard Beauzay August 8 I this
More informationPhysics 116A Solutions to Homework Set #1 Winter Boas, problem Use equation 1.8 to find a fraction describing
Physics 6A Solutios to Homework Set # Witer 0. Boas, problem. 8 Use equatio.8 to fid a fractio describig 0.694444444... Start with the formula S = a, ad otice that we ca remove ay umber of r fiite decimals
More information20.2 Normal and Critical Slopes
Hdraulis Prof. B.. Thadaveswara Rao. Normal ad Critial lopes Whe disharge ad roughess are give, the Maig formula a e used for determiig the slope of the prismati hael i whih the flow is uiform at a give
More informationLesson 8 Refraction of Light
Physis 30 Lesso 8 Refratio of Light Refer to Pearso pages 666 to 674. I. Refletio ad Refratio of Light At ay iterfae betwee two differet mediums, some light will be refleted ad some will be refrated, exept
More information16th International Symposium on Ballistics San Francisco, CA, September 1996
16th Iteratioal Symposium o Ballistis Sa Fraiso, CA, 3-8 September 1996 GURNEY FORULAS FOR EXPLOSIVE CHARGES SURROUNDING RIGID CORES William J. Flis, Dya East Corporatio, 36 Horizo Drive, Kig of Prussia,
More informationCalculus 2 TAYLOR SERIES CONVERGENCE AND TAYLOR REMAINDER
Calulus TAYLO SEIES CONVEGENCE AND TAYLO EMAINDE Let the differee betwee f () ad its Taylor polyomial approimatio of order be (). f ( ) P ( ) + ( ) Cosider to be the remaider with the eat value ad the
More informationPhysics 30 Lesson 8 Refraction of Light
Physis 30 Lesso 8 Refratio of Light Refer to Pearso pages 666 to 674. I. Refletio ad refratio of light At ay iterfae betwee two differet mediums, some light will be refleted ad some will be refrated, exept
More informationNonstandard Lorentz-Einstein transformations
Nostadard Loretz-istei trasformatios Berhard Rothestei 1 ad Stefa Popesu 1) Politehia Uiversity of Timisoara, Physis Departmet, Timisoara, Romaia brothestei@gmail.om ) Siemes AG, rlage, Germay stefa.popesu@siemes.om
More informationLecture 8. Dirac and Weierstrass
Leture 8. Dira ad Weierstrass Audrey Terras May 5, 9 A New Kid of Produt of Futios You are familiar with the poitwise produt of futios de ed by f g(x) f(x) g(x): You just tae the produt of the real umbers
More informationU8L1: Sec Equations of Lines in R 2
MCVU Thursda Ma, Review of Equatios of a Straight Lie (-D) U8L Sec. 8.9. Equatios of Lies i R Cosider the lie passig through A (-,) with slope, as show i the diagram below. I poit slope form, the equatio
More information1 6 = 1 6 = + Factorials and Euler s Gamma function
Royal Holloway Uiversity of Lodo Departmet of Physics Factorials ad Euler s Gamma fuctio Itroductio The is a self-cotaied part of the course dealig, essetially, with the factorial fuctio ad its geeralizatio
More informationKinetics of Complex Reactions
Kietics of Complex Reactios by Flick Colema Departmet of Chemistry Wellesley College Wellesley MA 28 wcolema@wellesley.edu Copyright Flick Colema 996. All rights reserved. You are welcome to use this documet
More informationThe Z-Transform. (t-t 0 ) Figure 1: Simplified graph of an impulse function. For an impulse, it can be shown that (1)
The Z-Trasform Sampled Data The geeralied fuctio (t) (also kow as the impulse fuctio) is useful i the defiitio ad aalysis of sampled-data sigals. Figure below shows a simplified graph of a impulse. (t-t
More informationIn algebra one spends much time finding common denominators and thus simplifying rational expressions. For example:
74 The Method of Partial Fractios I algebra oe speds much time fidig commo deomiators ad thus simplifyig ratioal epressios For eample: + + + 6 5 + = + = = + + + + + ( )( ) 5 It may the seem odd to be watig
More informationLecture 9: Diffusion, Electrostatics review, and Capacitors. Context
EECS 5 Sprig 4, Lecture 9 Lecture 9: Diffusio, Electrostatics review, ad Capacitors EECS 5 Sprig 4, Lecture 9 Cotext I the last lecture, we looked at the carriers i a eutral semicoductor, ad drift currets
More informationIES MASTER. Class Test Solution (OCF + Hydrology) Answer key
() Class Test Solutio (OCF + Hdrolog) -5-6 Aswer ke. (a). (a). (). (a) 5. () 6. (d) 7. (b). () 9. (d). (b). (b). (d). (). () 5. (b) 6. (d) 7. (d). (b) 9. (a). (). (d). (b). (). () 5. (b) 6. (a) 7. ().
More informationEE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course
Sigal-EE Postal Correspodece Course 1 SAMPLE STUDY MATERIAL Electrical Egieerig EE / EEE Postal Correspodece Course GATE, IES & PSUs Sigal System Sigal-EE Postal Correspodece Course CONTENTS 1. SIGNAL
More informationRandom Models. Tusheng Zhang. February 14, 2013
Radom Models Tusheg Zhag February 14, 013 1 Radom Walks Let me describe the model. Radom walks are used to describe the motio of a movig particle (object). Suppose that a particle (object) moves alog the
More informationPhysics 324, Fall Dirac Notation. These notes were produced by David Kaplan for Phys. 324 in Autumn 2001.
Physics 324, Fall 2002 Dirac Notatio These otes were produced by David Kapla for Phys. 324 i Autum 2001. 1 Vectors 1.1 Ier product Recall from liear algebra: we ca represet a vector V as a colum vector;
More informationSeunghee Ye Ma 8: Week 5 Oct 28
Week 5 Summary I Sectio, we go over the Mea Value Theorem ad its applicatios. I Sectio 2, we will recap what we have covered so far this term. Topics Page Mea Value Theorem. Applicatios of the Mea Value
More information1 Adiabatic and diabatic representations
1 Adiabatic ad diabatic represetatios 1.1 Bor-Oppeheimer approximatio The time-idepedet Schrödiger equatio for both electroic ad uclear degrees of freedom is Ĥ Ψ(r, R) = E Ψ(r, R), (1) where the full molecular
More informationOne way Analysis of Variance (ANOVA)
Oe way Aalysis of Variae (ANOVA) ANOVA Geeral ANOVA Settig"Slide 43-45) Ivestigator otrols oe or more fators of iterest Eah fator otais two or more levels Levels a be umerial or ategorial ifferet levels
More information6.003 Homework #3 Solutions
6.00 Homework # Solutios Problems. Complex umbers a. Evaluate the real ad imagiary parts of j j. π/ Real part = Imagiary part = 0 e Euler s formula says that j = e jπ/, so jπ/ j π/ j j = e = e. Thus the
More informationGeneral Equilibrium. What happens to cause a reaction to come to equilibrium?
General Equilibrium Chemial Equilibrium Most hemial reations that are enountered are reversible. In other words, they go fairly easily in either the forward or reverse diretions. The thing to remember
More informationMulticomponent-Liquid-Fuel Vaporization with Complex Configuration
Multicompoet-Liquid-Fuel Vaporizatio with Complex Cofiguratio William A. Sirigao Guag Wu Uiversity of Califoria, Irvie Major Goals: for multicompoet-liquid-fuel vaporizatio i a geeral geometrical situatio,
More informationChapter 7: The z-transform. Chih-Wei Liu
Chapter 7: The -Trasform Chih-Wei Liu Outlie Itroductio The -Trasform Properties of the Regio of Covergece Properties of the -Trasform Iversio of the -Trasform The Trasfer Fuctio Causality ad Stability
More information5. DIFFERENTIAL EQUATIONS
5-5. DIFFERENTIAL EQUATIONS The most commo mathematical structure emploed i mathematical models of chemical egieerig professio ivolve differetial equatios. These equatios describe the rate of chage of
More informationL 5 & 6: RelHydro/Basel. f(x)= ( ) f( ) ( ) ( ) ( ) n! 1! 2! 3! If the TE of f(x)= sin(x) around x 0 is: sin(x) = x - 3! 5!
aylor epasio: Let ƒ() be a ifiitely differetiable real fuctio. At ay poit i the eighbourhood of =0, the fuctio ca be represeted as a power series of the followig form: X 0 f(a) f() ƒ() f()= ( ) f( ) (
More information(Dependent or paired samples) Step (1): State the null and alternate hypotheses: Case1: One-tailed test (Right)
(epedet or paired samples) Step (1): State the ull ad alterate hypotheses: Case1: Oe-tailed test (Right) Upper tail ritial (where u1> u or u1 -u> 0) H0: 0 H1: > 0 Case: Oe-tailed test (Left) Lower tail
More informationSummation Method for Some Special Series Exactly
The Iteratioal Joural of Mathematis, Siee, Tehology ad Maagemet (ISSN : 39-85) Vol. Issue Summatio Method for Some Speial Series Eatly D.A.Gismalla Deptt. Of Mathematis & omputer Studies Faulty of Siee
More informationConsider that special case of a viscous fluid near a wall that is set suddenly in motion as shown in Figure 1. The unsteady Navier-Stokes reduces to
Exact Solutios to the Navier-Stokes Equatio Ustead Parallel Flows (Plate Suddel Set i Motio) Cosider that special case of a viscous fluid ear a wall that is set suddel i motio as show i Figure. The ustead
More informationB. Maddah ENMG 622 ENMG /20/09
B. Maddah ENMG 6 ENMG 5 5//9 Queueig Theory () Distributio of waitig time i M/M/ Let T q be the waitig time i queue of a ustomer. The it a be show that, ( ) t { q > } =. T t e Let T be the total time of
More informationSECTION 2 Electrostatics
SECTION Electrostatics This sectio, based o Chapter of Griffiths, covers effects of electric fields ad forces i static (timeidepedet) situatios. The topics are: Electric field Gauss s Law Electric potetial
More informationChemistry 2. Assumed knowledge. Learning outcomes. The particle on a ring j = 3. Lecture 4. Cyclic π Systems
Chemistry Leture QuatitativeMO Theoryfor Begiers: Cyli Systems Assumed kowledge Be able to predit the umber of eletros ad the presee of ougatio i a rig otaiig arbo ad/or heteroatoms suh as itroge ad oxyge.
More informationThe Phi Power Series
The Phi Power Series I did this work i about 0 years while poderig the relatioship betwee the golde mea ad the Madelbrot set. I have fially decided to make it available from my blog at http://semresearch.wordpress.com/.
More informationMath 2784 (or 2794W) University of Connecticut
ORDERS OF GROWTH PAT SMITH Math 2784 (or 2794W) Uiversity of Coecticut Date: Mar. 2, 22. ORDERS OF GROWTH. Itroductio Gaiig a ituitive feel for the relative growth of fuctios is importat if you really
More informationEECE 301 Signals & Systems
EECE 301 Sigals & Systems Prof. Mark Fowler Note Set #8 D-T Covolutio: The Tool for Fidig the Zero-State Respose Readig Assigmet: Sectio 2.1-2.2 of Kame ad Heck 1/14 Course Flow Diagram The arrows here
More informationMATH 31B: MIDTERM 2 REVIEW
MATH 3B: MIDTERM REVIEW JOE HUGHES. Evaluate x (x ) (x 3).. Partial Fractios Solutio: The umerator has degree less tha the deomiator, so we ca use partial fractios. Write x (x ) (x 3) = A x + A (x ) +
More information... and realizing that as n goes to infinity the two integrals should be equal. This yields the Wallis result-
INFINITE PRODUTS Oe defies a ifiite product as- F F F... F x [ F ] Takig the atural logarithm of each side oe has- l[ F x] l F l F l F l F... So that the iitial ifiite product will coverge oly if the sum
More informationThe Scattering Matrix
2/23/7 The Scatterig Matrix 723 1/13 The Scatterig Matrix At low frequecies, we ca completely characterize a liear device or etwork usig a impedace matrix, which relates the currets ad voltages at each
More informationChapter 13 OPEN-CHANNEL FLOW
Capter OPEN-CHANNEL FLOW Classifiatio, Froude Number, ad Wave Speed Capter Ope-Cael Flow -C Ope-ael flow is te flow of liquids i aels ope to te atmospere or i partiall filled oduits, ad is araterized b
More informationMAT 271 Project: Partial Fractions for certain rational functions
MAT 7 Project: Partial Fractios for certai ratioal fuctios Prerequisite kowledge: partial fractios from MAT 7, a very good commad of factorig ad complex umbers from Precalculus. To complete this project,
More informationZ - Transform. It offers the techniques for digital filter design and frequency analysis of digital signals.
Z - Trasform The -trasform is a very importat tool i describig ad aalyig digital systems. It offers the techiques for digital filter desig ad frequecy aalysis of digital sigals. Defiitio of -trasform:
More informationPAPER : IIT-JAM 2010
MATHEMATICS-MA (CODE A) Q.-Q.5: Oly oe optio is correct for each questio. Each questio carries (+6) marks for correct aswer ad ( ) marks for icorrect aswer.. Which of the followig coditios does NOT esure
More informationWorksheet on Generating Functions
Worksheet o Geeratig Fuctios October 26, 205 This worksheet is adapted from otes/exercises by Nat Thiem. Derivatives of Geeratig Fuctios. If the sequece a 0, a, a 2,... has ordiary geeratig fuctio A(x,
More informationTIME-CORRELATION FUNCTIONS
p. 8 TIME-CORRELATION FUNCTIONS Time-correlatio fuctios are a effective way of represetig the dyamics of a system. They provide a statistical descriptio of the time-evolutio of a variable for a esemble
More informationInverse Matrix. A meaning that matrix B is an inverse of matrix A.
Iverse Matrix Two square matrices A ad B of dimesios are called iverses to oe aother if the followig holds, AB BA I (11) The otio is dual but we ofte write 1 B A meaig that matrix B is a iverse of matrix
More informationChimica Inorganica 3
himica Iorgaica Irreducible Represetatios ad haracter Tables Rather tha usig geometrical operatios, it is ofte much more coveiet to employ a ew set of group elemets which are matrices ad to make the rule
More informationPolynomial Functions and Their Graphs
Polyomial Fuctios ad Their Graphs I this sectio we begi the study of fuctios defied by polyomial expressios. Polyomial ad ratioal fuctios are the most commo fuctios used to model data, ad are used extesively
More information