Membrane Separation Processes

Size: px
Start display at page:

Download "Membrane Separation Processes"

Transcription

1 Membrane Separation Processes Membrane separations represent a new type of unit operation. Te membrane acts as a semipermeable barrier and separation occurs by te membrane controlling te rate of movement of various molecules between two liquid pases, two gas pases, or a liquid and a gas pase. Te two fluid pases are usually miscible and te membrane barrier prevents actual, ordinary ydrodynamic flow. References: C.J. Geankoplis, Transport Processes and Unit Operations, 3rd ed., Prentice Hall, Englewood Cliffs, New Jersey, (Capter 13) W.L. McCabe, J.C. Smit, P. Harriott, "Unit Operations of Cemical Engineering", 5t ed., McGraw-Hill, New York, (Capter 26) 154

2 1. Classification of membrane processes Porous membrane Gas diffusion: Te rates of gas diffusion depend on te pore sizes and te molecular weigts. We may ave molecular, transition, and Knudsen diffusion regions depending on te relative sizes of pore and gas molecule. Microfiltration (MF): Tis refers to membranes tat ave pore diameters from 0.1 to 10 m. It is used to filter suspended particulates, bacteria or large colloids from solution. Ultrafiltration (UF): Tis refers to membranes aving pore diameters in te range A o. It can be used to filter dissolved macromolecules, suc as proteins and polymers, from solution. Reverse osmosis (RO): Te membrane pores are in te range of 5-20 A o in diameter, wic are witin te range of te termal motion of te polymer cains. Dialysis 155

3 Figure

4 Tigt (nonporous, or dense) membrane Here te permeants are sorbed into te membrane material under te influence of teir termodynamic potential and pass it as a result of a driving force exerted: Gradient of vapor pressure pervaporation (feed is liquid) vapor permeation (feed is vapor) Pressure gradient gas permeation (feed & permeant are gases) reverse osmosis (feed & permeant are liquids) Temperature gradient termoosmosis Concentration gradient dialysis (osmosis, liquid permeation) pertraction Gradient in electric potential electrodialysis (ion-selective membrane) 157

5 Membrane classification. 158

6 Types of membrane structures. 159

7 2. Dialysis (liquid permeation) In tis case te small solutes in one liquid pase diffuse troug a porous membrane to te second liquid pase were te permeants are diluted by means of a so-called sweeping solvent. Te driving force is a concentration gradient so te flux rates are low. If te boiling point of te permeants is muc lower tan tat of te sweeping liquid, te permeants can be separated by flasing from te sweeping liquid, te dialysis process is called pertraction. In practice dialysis is used to separate species tat differ appreciably in size, wic ave a large difference in diffusion rates. Applications include recovery of sodium ydroxide in cellulose processing, recovery of acids from metallurgical liquors, removal of products from a culture solution in fermentation, and reduction of alcool content of beer. 160

8 2.1 Series resistances in membrane processes In dialysis, te solute molecules must first be transported or diffuse troug te liquid film of te first liquid pase on one side of te solid membrane, troug te membrane itself, and ten troug te film of te second liquid pase. Tis is sown in Figure 2, were c1 is te bulk liquid pase concentration of te diffusing solute A in kg mol A/m 3, c1i is te concentration of A in te fluid just adjacent to te solid, and c1is is te concentration of A in te solid at te surface and is in equilibrium wit c1i. Te mass transfer coefficients are kc1 and kc2 in m/s. Te equilibrium distribution coefficient K is defined as: K c S c1is c2is ' (1) c c c L 1i 2i 161

9 Te flux equations troug eac pase are all equal to eac oter at steady state: D NA k c c AB c1 1 1i L c 1iS c 2iS k c2 c 2i c 2 Substituting Eq. (1) into Eq. (2), D K N k c c AB ' A c i c i c L p c c k c c i M 1i 2i c2 2i 2 (2) (3) D K p AB ' M (4) L were pm is te permeability in te solid in m/s, L is te tickness in m, and DAB is te diffusivity of A in te solid in m 2 /s. Instead of determining DAB and K in two separate experiments, it is more convenient to determine pm in one experiment. Te concentration differences can be obtained from Eq. (3): N c c A N c A N c A 1 1i c 1i 2i c 2i 2 kc1 pm kc2 (5) By adding tree equations, te internal concentrations drop out, te final equation is c c NA 1 2 (6) 1/ kc1 1/ pm 1/ kc2 Te denominator can be considered as te inverse of overall mass transfer coefficient. In some cases, te resistances in te two liquid films are quite small 162

10 compared to tat of te membrane resistance, wic controls te permeation rate. Example 1: Membrane diffusion and liquid film resistances A liquid containing dilute solute A at a concentration c1=0.030 kg mol/m 3 is flowing rapidly by a membrane of tickness L=3.0x10-5 m. Te distribution coefficient K =1.5 and DAB=7.0x10-11 m 2 /s in te membrane. Te solute diffuses troug te membrane and its concentration on te oter side is c2= kg mol/m 3. Te mass transfer coefficient kc1 is large and can be considered as infinite and kc2 =2.02x10-5 m/s. (a) Derive te equation to calculate te steady-state flux NA and make a sketc. (b) Calculate te flux and te concentrations at te membrane interfaces. Solution: For part (a) te sketc is sown in Fig. 3. Note tat te concentration on te left side is flat (kc1=) and c1 = c1i. Te derivation is te same as for Eq. (6) but 1/kc1 = 0 to give c c NA 1 2 (7) 1/ p 1/ k M c2 163

11 For part (b), 11 D K p AB ' ( 1. 5) 6 M L 5 m / s c c NA / p 1/ k 1/ / M c = kg mol / s m To calculate c2i, -8 5 NA = kc2 c2i c c2i Solving c2i = kg mol/m 3. c2is K' c2i kg mol / m 3 c1 K' c1 K' c kg mol / m 3 is i 164

12 3. Gas permeation 3.1 Series resistances in membrane processes Similar equations to dialysis can be written for gas permeation. Te equilibrium relation between te solid and gas pases is given by S cs c1is c2is H (8) pa pa1i pa2i were S is te solubility of A in m 3 (STP)/atm m 3 solid, and H is te equilibrium relation in kg mol/m 3 atm. Tis is similar to Henry s law. Te flux equations in eac pase are as follows: k N RT p p D A c1 AB A1 A1i L c 1iS c 2iS (9) DABH k pa i p c A i L RT p A2i p A2 Te permeability Pm in kg mol/s m atm is given by P D H D S m AB AB (10) Eliminating te interfacial concentrations as before, N A 1/(k c1 pa1 pa2 / RT) 1/(p / L) 1/(k (11) m c2 / RT) Note tat kg1= kc1/rt. An example of gas permeation in a membrane is use of a polymeric membrane as an oxygenator for a eart-lung macine. Pure O2 is on one side of a tin membrane and blood is on te oter side. Oxygen diffuses troug te membrane into te blood and CO2 diffuses in a reverse direction into te gas stream. 165

13 3.2 Types of membranes and permeabilities for gas separation Te permeation flux is inversely proportional to te tickness of te membrane. So if te membrane is tick (100 m), as used in te early stage to prevent any tiny oles wic reduced te separation, te flux is low. Some newer asymmetric membranes include a very tin but dense skin on one side of te membrane supported by a porous substructure. Te dense skin as a tickness of about 1000 A o and te porous support tickness is about m. Te flux is tousands of times iger tan te 100-mtick original membranes. Some typical materials of present membranes are a composite of polysulfone coated wit silicon rubber, cellulose acetate and modified cellulose acetate, aromatic polyamides or aromatic polyimides, and silicon-polycarbonate copolymer on a porous support. Experiments are necessary to determine te permeabilities of gases in membranes. Some typical data are listed in Table 1. In a given membrane te permeabilities of various gases may differ significantly. 166

14 For te effect of temperature T in K, te ln P A ' increases wit T following approximately a linear function of 1/T. However, operation at ig temperatures can often degrade te membranes. Wen a mixture of gases is present, te permeability of an individual component may be reduced by up to 10%. Hence, wen using a mixture of gases, experimental data sould be obtained to determine if tere is any interaction between te gases. Te presence of water vapor can also ave similar effects. 167

15 3.3 Types of equipment for gas permeation Flat membranes. Tese are mainly used to experimentally caracterize te permeability of te membrane. Te modules are easy to fabricate and use and te areas of te membranes are well defined. In some cases modules are stacked togeter like a multilayer sandwic or plate-and-frame filter press. Te major drawback of tis type is te very small membrane area per unit separator volume Spiral-wound membranes. Tis configuration increases markedly te membrane area per unit separator volume up to 328 m 2 / m 3 and decreases te pressure drop. Te assembly consists of a sandwic of four seets wrapped around a central core of a perforated collecting tube. Te four seets consists of a top seet of an open separator grid for te feed cannel, a membrane, a porous felt backing for te permeate cannel, and anoter membrane as sown in Fig. 4. Te spiral-wound element is 100 to 200 mm in diameter and is about 1 to 1.5 m long in te axial direction. Te flat seets before rolling are about 1 to 1.5 m by 2 to 2.5 m. Te space between te membranes (open grid for feed) is about 1 mm and te tickness of te porous backing (for permeate) is about 0.2 mm. 168

16 Te wole spiral-wound element is located inside a metal sell. Te feed gas enters at te left end of te sell, enters te feed cannel, and flows troug tis cannel in te axial direction of te spiral to te rigt end were te exit residue gas leaves. Te feed stream permeates perpendicularly troug te membrane. Tis permeate ten flows troug te permeate cannel toward te perforated collecting tube, were it leaves te apparatus at one end. 169

17 3.3.3 Hollow-fibre membranes. Te membranes are in te sape of very small diameter ollow fibres. Te inside diameter of te fibres is in te range of 100 to 500 m and te outside 200 to 1000 m wit te lengt up to 3 to 5 m. Te module resembles a sell-and-tube eat excanger. Tousands of fine tubes are bound togeter at eac end into a tube seet tat is surrounded by a metal sell aving a diameter of 0.1 to 0.2 m, so tat te membrane area per unit volume is up to m 2 / m 3. Te ig pressure feed enters into te sell side at one end and leaves at te oter end. Te ollow fibres are closed at one end of te tube bundles. Te permeate gas inside te fibres flow countercurrently to te sell-side flow and is collected in a camber were te open ends of te fibres terminate. 170

18 3.4 Types of flow in gas permeation Because of te very ig diffusion coefficient in gases, concentration gradients in te gas pase in te direction normal to te surface of te membrane are quite small. Hence, gas film resistance compared to te membrane resistance can be ignored. If te gas stream is flowing parallel to te membrane in plug flow, a concentration gradient occurs in tis direction. Hence, several cases can occur in te operation of a membrane module. Bot permeate and feed sides can be operated completely mixed or in plug flow. Countercurrent or cocurrent flow can be used wen bot sides are in plug flow. Tis is summarized in Figure

19 4. Complete-mixing model for gas separation 4.1 Basic equations used A detailed diagram is sown in Fig. 8 for complete mixing. Te overall material balance is qf q0 qp (12) were qf is te total feed flow rate in cm 3 (STP)/s; q0 is outlet reject flow rate in te same unit; and qp is outlet permeate flow rate, cm 3 (STP)/s. Te cut or fraction of feed permeated,, is given as: q p qf (13) Te rate of diffusion or permeation of species A (in a binary of A and B) is given below q q y A p p P A px plyp Am A ' m t 0 (14) were PA is te permeability of A in te membrane, cm 3 (STP) cm/(s cm 2 cm Hg); qa is te flow rate of 172

20 A in permeate, cm 3 (STP)/s; Am is membrane area, cm 2 ; t is membrane tickness, cm; p is te total pressure in te ig pressure (feed) side, cm Hg; pl is te total pressure in te low pressure or permeate side, cm Hg; x0 is te mole fraction of A in te reject side; and yp is te mole fraction of A in te permeate. Note tat px0 is te partial pressure of A in te reject gas pase. A similar equation can be written for component B: q q y B p( 1 p ) P B p x pl yp Am A ' ( 1 ) ( 1 ) m t 0 (15) Dividing Eq. (14) by (15) gives y p x0 ( pl / p ) yp (16) 1 y ( 1 x ) ( p / p )( 1 y ) p 0 l p Tis equation relates yp, te permeate composition, to x0, te reject composition, and te ideal separation factor is defined as ' P (17) PA B' Making an overall mass balance on component A qf xf q0x0 qpyp (18) Dividing by qf and solving for te exit compositions, xf yp xf x01 x0 or y 1 p (19) qf yp Am (20) PA'/ t px0 plyp 173

21 4.2 Solution of equations for te design of completemixing case For te design of a complete-mixing model, tere are seven variables, xf, x0, yp,,, pl/p, and Am, four of wic are independent variables. Let us consider two common cases. Case 1. xf, x0,, and pl/p are given and yp,, and Am are to be determined by solution of te equations. Eq. (16) can be rearranged as were a b a y by c 0 (21) p 1 2 p p p 1 x 0 1 p p x 0 p c p x l and te solution is l 0 b b ac yp 4 2a 2 l (22) (23) 174

22 Example 2. Design of membrane unit for complete mixing A membrane is to be used to separate a gaseous mixture of A and B wose feed flow rate is qf = 1x10 4 cm 3 (STP)/s and feed composition of A is xf = 0.50 mole fraction. Te desired composition of te reject is x0 = Te membrane tickness t = 2.54x10-3 cm, te pressure on te feed side is p = 80 cm Hg and on te permeate side is pl = 20 cm Hg. Te permeabilities are PA = 50x10-10 cm 3 (STP)/(s cm 3 cm Hg) and PB = 5x Assuming te complete-mixing model, calculate te permeate composition, yp, te fraction permeated,, and te membrane area, Am. Solution: P ' A PB' 5 10 a b c p p 1 x 0 1 p p x 0 l ( ) 1 10 ( 0. 25) p p x ( 0. 25) l l 175

23 2 2 CENG 5210 Advanced Separation Processes b b ac yp ( 9)( 10) 2a 2( 9) xf yp ( ) x Solving = qf yp Am P '/ t p x p y = A 0 l p 0.706( / = cm m 4 )( ) Case 2. xf,,, and pl/p are given and yp, x0, and Am are to be determined. Eq. (19) is substituted into Eq. (16) and te result in te form of 2 b b a c a1yp b1yp c1 0 and yp a1 is p a l pl pl pl 1 p p p p b c p p p p 1 x l l l l f p p p p x f x f 176

24 4.3 Minimum concentration of reject stream If all of te feed is permeated, ten = 1 and te feed composition xf = yp. For all values of < 1, te permeate concentration yp > xf. Rearranging Eq. (16) to give p y l p yp p x0 (24) 1 y y p wic means tat x0 is a monotonic increasing function wit yp. Wen yp is at its minimum value of xf, te reject composition ave its minimum as p x l f xf p x0m (25) 1 xf xf Hence, a feed of xf concentration cannot be stripped lower tan a value of x0m even wit an infinitely large membrane area for a complete mixed system. To strip beyond tis limiting value a cascade-type system or a single unit of plug flow sould be used. p 177

25 5. Cross-flow model for gas separation CENG 5210 Advanced Separation Processes A detailed flow diagram is sown in Figure 9. Te flow in te ig-pressure or reject stream is considered to be of plug flow. On te low-pressure side te permeate stream is pulled into vacuum, so te flow is perpendicular to te membrane. No mixing in bot sides is assumed. Tis cross-flow pattern is an approximation to te actual spiralwound membrane separator wit a ig-flux asymmetric membrane resting on a porous support. Te local permeation rate over a differential membrane area dam at any point in te stage is PA ' ydq px plydam (26) t 178

26 P ' ( 1 t CENG 5210 Advanced Separation Processes y)dq B p (1 x) pl(1 y) dam (27) were dq is te total flow rate permeating troug te area dam. Dividing Eq. (26) by (27) gives y x pl p y 1 y ( / ) (28) ( 1 x) ( pl / p )( 1 y) Tis relates te permeate composition y to te reject composition x at a point along te pat. It is similar to Eq. (16) for complete-mixing. Te solution to te tree equations (26) - (28) is R S 1 (1 x) u E / D u F u 1 x were f u 1 q q f u E / D f Di ; i x 1- x f u D i 2Ei F 0. 5 F f F u F (29) T D P P l E 2 DF 179

27 F 1 P 0.5 l 1 P R S 1 2D 1 (D 1) (2D 1) F / 2 1 T 1 D (E / F) F Te term uf is te value of u at i = if = xf/(1-xf). Te value of is te fraction permeated up to te value of x in Fig. 9. At te outlet were x = x0, =, te total fraction permeated. Te total membrane area required is if tq 1 (1 f x)di A m (30) ' P PB i0 1 P l 1 fi i 1 i P 1 fi were D i 2Ei F 0. 5 fi (Di F) values of in te integral can be obtained from Eq. (29). 180

28 Case 1. Te values of xf, x0,, and Pl/P are given and yp,, and Am, are to be determined. or can be calculated from directly from Eq. (29). Since all oter variables are known, yp can be calculated from Eq. (19). Te membrane area Am is calculated from Eq. (30) numerically. Case 2. xf,,, and Pl/P are given and yp, x0, and Am, are to be determined. Tis is trial and error. An initial value of x0 is assumed and substituted into Eq. (19) to calculate yp. 181

29 182 CENG 5210 Advanced Separation Processes

30 183 CENG 5210 Advanced Separation Processes

31 184 CENG 5210 Advanced Separation Processes

32 6. Countercurrent-flow model for gas separation A detailed flow diagram is sown in Figure 10. Making a total and a component balance for A over te volume element and te reject, q q0 q' (31) qx q0x0 q' y (32) Differentiating Eq. (32) d( qx) 0 d( q' y) (33) 185

33 A balance for component A on te ig- and lowpressure sides of te volume element gives qx ( q dq)( x dx) ydq (34) Simplifying to become ydq qdx xdq d( qx) (35) Te local flux out of te element wit area dam is PA ' ydq px plydam (36) t Combining Eqs. (33), (35), and (36) PA ' d(q' y) d(qx) ydq px plydam (37) Similarly, for component B, d[q'(1 PB ' y)] d[q(1 x)] t t p (1 x) pl(1 y) dam (38) Combining Eqs. (31) and (32) to eliminate q and multiplying dx, x y q0dx ( qdx) (39) y x0 Since d[ xq( 1 x)] xd[ q( 1 x)] q( 1 x) dx (40) ( 1 x) d( qx) qxd( 1 x ) we ave qdx (1 x)d(qx) xd[q(1 x)] (41) Substituting qdx from (41), d(qx) from (37), and d[q(1-x)] from (38) into Eq. (39) gives 186

34 CENG 5210 Advanced Separation Processes q0t dx y x (1 x) ( rx y) x[ r(1 x) (1 y)] pl PB ' dam y x0 were r p / p and P '/ P ' Similarly, we can obtain x y q0dy x x l A B. (42) ( q' dy) (43) 0 q0t dy x y (1 y) ( rx y) y[ r(1 x) (1 y)] pl PB ' dam x x0 (44) At te outlet of te residue stream of composition x0, te permeate y = yi, and x0 are related by Eq. (16), wic is given below as Eq. (45) yi x0 ( pl / p ) yi (45) 1 yi ( 1 x0 ) ( pl / p )( 1 yi ) Eqs. (42) and (44) are solved simultaneously by numerical metods starting at te ig-pressure outlet stream of composition x0. Te area Am can be arbitrarily set equal to zero at tis outlet and a negative area will be obtained wose sign must be reversed. 187

35 7. Effects of processing variables on gas separation by membranes 7.1 Effects of pressure ratio and separation factor on recovery By using te complete-mixing model (Eq. 16), te effects of pressure ratio, p/pl, and separation factor,, on permeate purity are plotted in Figure 11 for a fixed feed composition (30%). Above an of 20 or a pressure ratio of 6, te product purity is not greatly affected. 188

36 7.2 Effects of process flow patterns on separation and area Figure 12 sows te permeate concentration versus stage cut,, for a feed of air (x0 = for oxygen) wit = 10 and p/pl = 5. As expected, te countercurrent flow pattern gives te best separation, followed by cross-flow, cocurrent, and te completemixing pattern offers te lowest separation. All four patterns become identical at a value of 0 or 1. Te required membrane areas to acieve te same separation for all four types of flow are witin about 10% of eac oter. Te countercurrent flow again gives te lowest area required. 189

Lecture 10. Membrane Separation Materials and Modules

Lecture 10. Membrane Separation Materials and Modules ecture 10. Membrane Separation Materials and Modules Membrane Separation Types of Membrane Membrane Separation Operations - Microporous membrane - Dense membrane Membrane Materials Asymmetric Polymer Membrane

More information

CENG 5210 Advanced Separation Processes. Reverse osmosis

CENG 5210 Advanced Separation Processes. Reverse osmosis Reverse osmosis CENG 510 Advanced Separation Processes In osmosis, solvent transports from a dilute solute or salt solution to a concentrated solute or salt solution across a semipermeable membrane hich

More information

Membrane processes selective hydromechanical diffusion-based porous nonporous

Membrane processes selective hydromechanical diffusion-based porous nonporous Membrane processes Separation of liquid or gaseous mixtures by mass transport through membrane (= permeation). Membrane is selective, i.e. it has different permeability for different components. Conditions

More information

Estimate the extent of concentration polarization in crossflow filtration Select filtration unit operations to meet product requirements, consistent

Estimate the extent of concentration polarization in crossflow filtration Select filtration unit operations to meet product requirements, consistent Membrane Separation Process Objectives Estimate the extent of concentration polarization in crossflow filtration Select filtration unit operations to meet product requirements, consistent with product

More information

Desalination by vacuum membrane distillation: sensitivity analysis

Desalination by vacuum membrane distillation: sensitivity analysis Separation and Purification Tecnology 33 (2003) 75/87 www.elsevier.com/locate/seppur Desalination by vacuum membrane distillation: sensitivity analysis Fawzi Banat *, Fami Abu Al-Rub, Kalid Bani-Melem

More information

Chapters 19 & 20 Heat and the First Law of Thermodynamics

Chapters 19 & 20 Heat and the First Law of Thermodynamics Capters 19 & 20 Heat and te First Law of Termodynamics Te Zerot Law of Termodynamics Te First Law of Termodynamics Termal Processes Te Second Law of Termodynamics Heat Engines and te Carnot Cycle Refrigerators,

More information

Simulation and verification of a plate heat exchanger with a built-in tap water accumulator

Simulation and verification of a plate heat exchanger with a built-in tap water accumulator Simulation and verification of a plate eat excanger wit a built-in tap water accumulator Anders Eriksson Abstract In order to test and verify a compact brazed eat excanger (CBE wit a built-in accumulation

More information

Fundamentals of Heat Transfer Muhammad Rashid Usman

Fundamentals of Heat Transfer Muhammad Rashid Usman Fundamentals of Heat Transfer Muammad Rasid Usman Institute of Cemical Engineering and Tecnology University of te Punjab, Laore. Figure taken from: ttp://eatexcanger-design.com/20/0/06/eat-excangers-6/

More information

Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12.

Notes: Most of the material in this chapter is taken from Young and Freedman, Chap. 12. Capter 6. Fluid Mecanics Notes: Most of te material in tis capter is taken from Young and Freedman, Cap. 12. 6.1 Fluid Statics Fluids, i.e., substances tat can flow, are te subjects of tis capter. But

More information

A = h w (1) Error Analysis Physics 141

A = h w (1) Error Analysis Physics 141 Introduction In all brances of pysical science and engineering one deals constantly wit numbers wic results more or less directly from experimental observations. Experimental observations always ave inaccuracies.

More information

Polynomial Interpolation

Polynomial Interpolation Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximatinga function fx, wose values at a set of distinct points x, x, x,, x n are known, by a polynomial P x suc

More information

Numerical Differentiation

Numerical Differentiation Numerical Differentiation Finite Difference Formulas for te first derivative (Using Taylor Expansion tecnique) (section 8.3.) Suppose tat f() = g() is a function of te variable, and tat as 0 te function

More information

General Separation Techniques

General Separation Techniques ecture 2. Basic Separation Concepts (1) [Ch. 1] General Separation Techniques - Separation by phase creation - Separation by phase addition - Separation by barrier - Separation by solid agent - Separation

More information

SEPARATION BY BARRIER

SEPARATION BY BARRIER SEPARATION BY BARRIER SEPARATION BY BARRIER Phase 1 Feed Barrier Phase 2 Separation by barrier uses a barrier which restricts and/or enhances the movement of certain chemical species with respect to other

More information

1 Calculus. 1.1 Gradients and the Derivative. Q f(x+h) f(x)

1 Calculus. 1.1 Gradients and the Derivative. Q f(x+h) f(x) Calculus. Gradients and te Derivative Q f(x+) δy P T δx R f(x) 0 x x+ Let P (x, f(x)) and Q(x+, f(x+)) denote two points on te curve of te function y = f(x) and let R denote te point of intersection of

More information

Taylor Series and the Mean Value Theorem of Derivatives

Taylor Series and the Mean Value Theorem of Derivatives 1 - Taylor Series and te Mean Value Teorem o Derivatives Te numerical solution o engineering and scientiic problems described by matematical models oten requires solving dierential equations. Dierential

More information

Mass Transfer Operations

Mass Transfer Operations College of Engineering Tutorial # 1 Chemical Engineering Dept. 14/9/1428 1. Methane and helium gas mixture is contained in a tube at 101.32 k Pa pressure and 298 K. At one point the partial pressure methane

More information

1 Power is transferred through a machine as shown. power input P I machine. power output P O. power loss P L. What is the efficiency of the machine?

1 Power is transferred through a machine as shown. power input P I machine. power output P O. power loss P L. What is the efficiency of the machine? 1 1 Power is transferred troug a macine as sown. power input P I macine power output P O power loss P L Wat is te efficiency of te macine? P I P L P P P O + P L I O P L P O P I 2 ir in a bicycle pump is

More information

Solution for the Homework 4

Solution for the Homework 4 Solution for te Homework 4 Problem 6.5: In tis section we computed te single-particle translational partition function, tr, by summing over all definite-energy wavefunctions. An alternative approac, owever,

More information

Use of fin analysis for determination of thermal conductivity of material

Use of fin analysis for determination of thermal conductivity of material RESEARCH ARTICLE OPEN ACCESS Use of fin analysis for determination of termal conductivity of material Nea Sanjay Babar 1, Saloni Suas Desmuk 2,Sarayu Dattatray Gogare 3, Snea Barat Bansude 4,Pradyumna

More information

D-MAVT Membrane Separation Processes

D-MAVT Membrane Separation Processes Membrane Separation Processes Federico Milella Rate Controlled Separation - Autumn 2017 Separation Processes Laboratory - Institute of Process Engineering Agenda Introduction Mass balances over a membrane

More information

Polynomial Interpolation

Polynomial Interpolation Capter 4 Polynomial Interpolation In tis capter, we consider te important problem of approximating a function f(x, wose values at a set of distinct points x, x, x 2,,x n are known, by a polynomial P (x

More information

INTRODUCTION DEFINITION OF FLUID. U p F FLUID IS A SUBSTANCE THAT CAN NOT SUPPORT SHEAR FORCES OF ANY MAGNITUDE WITHOUT CONTINUOUS DEFORMATION

INTRODUCTION DEFINITION OF FLUID. U p F FLUID IS A SUBSTANCE THAT CAN NOT SUPPORT SHEAR FORCES OF ANY MAGNITUDE WITHOUT CONTINUOUS DEFORMATION INTRODUCTION DEFINITION OF FLUID plate solid F at t = 0 t > 0 = F/A plate U p F fluid t 0 t 1 t 2 t 3 FLUID IS A SUBSTANCE THAT CAN NOT SUPPORT SHEAR FORCES OF ANY MAGNITUDE WITHOUT CONTINUOUS DEFORMATION

More information

Continuity and Differentiability Worksheet

Continuity and Differentiability Worksheet Continuity and Differentiability Workseet (Be sure tat you can also do te grapical eercises from te tet- Tese were not included below! Typical problems are like problems -3, p. 6; -3, p. 7; 33-34, p. 7;

More information

Homework 1. Problem 1 Browse the 331 website to answer: When you should use data symbols on a graph. (Hint check out lab reports...

Homework 1. Problem 1 Browse the 331 website to answer: When you should use data symbols on a graph. (Hint check out lab reports... Homework 1 Problem 1 Browse te 331 website to answer: Wen you sould use data symbols on a grap. (Hint ceck out lab reports...) Solution 1 Use data symbols to sow data points unless tere is so muc data

More information

Section A 01. (12 M) (s 2 s 3 ) = 313 s 2 = s 1, h 3 = h 4 (s 1 s 3 ) = kj/kgk. = kj/kgk. 313 (s 3 s 4f ) = ln

Section A 01. (12 M) (s 2 s 3 ) = 313 s 2 = s 1, h 3 = h 4 (s 1 s 3 ) = kj/kgk. = kj/kgk. 313 (s 3 s 4f ) = ln 0. (a) Sol: Section A A refrigerator macine uses R- as te working fluid. Te temperature of R- in te evaporator coil is 5C, and te gas leaves te compressor as dry saturated at a temperature of 40C. Te mean

More information

Heat Transfer/Heat Exchanger

Heat Transfer/Heat Exchanger Heat ransfer/heat Excanger How is te eat transfer? Mecanism of Convection Applications. Mean fluid Velocity and Boundary and teir effect on te rate of eat transfer. Fundamental equation of eat transfer

More information

Some physico-chemical data can be found at the web page (E-Tables):

Some physico-chemical data can be found at the web page (E-Tables): Reminiscences 1 Physical data have been supplied to Problem_#4. Some physico-chemical data can be found at the web page (E-Tables): http://uchi.vscht.cz/index.php/en/studium/navody-a-pomucky/e-tabulky

More information

1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point

1 The concept of limits (p.217 p.229, p.242 p.249, p.255 p.256) 1.1 Limits Consider the function determined by the formula 3. x since at this point MA00 Capter 6 Calculus and Basic Linear Algebra I Limits, Continuity and Differentiability Te concept of its (p.7 p.9, p.4 p.49, p.55 p.56). Limits Consider te function determined by te formula f Note

More information

232 Calculus and Structures

232 Calculus and Structures 3 Calculus and Structures CHAPTER 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS FOR EVALUATING BEAMS Calculus and Structures 33 Copyrigt Capter 17 JUSTIFICATION OF THE AREA AND SLOPE METHODS 17.1 THE

More information

Lecture XVII. Abstract We introduce the concept of directional derivative of a scalar function and discuss its relation with the gradient operator.

Lecture XVII. Abstract We introduce the concept of directional derivative of a scalar function and discuss its relation with the gradient operator. Lecture XVII Abstract We introduce te concept of directional derivative of a scalar function and discuss its relation wit te gradient operator. Directional derivative and gradient Te directional derivative

More information

1watt=1W=1kg m 2 /s 3

1watt=1W=1kg m 2 /s 3 Appendix A Matematics Appendix A.1 Units To measure a pysical quantity, you need a standard. Eac pysical quantity as certain units. A unit is just a standard we use to compare, e.g. a ruler. In tis laboratory

More information

the first derivative with respect to time is obtained by carefully applying the chain rule ( surf init ) T Tinit

the first derivative with respect to time is obtained by carefully applying the chain rule ( surf init ) T Tinit .005 ermal Fluids Engineering I Fall`08 roblem Set 8 Solutions roblem ( ( a e -D eat equation is α t x d erfc( u du π x, 4αt te first derivative wit respect to time is obtained by carefully applying te

More information

Chapter 4: Numerical Methods for Common Mathematical Problems

Chapter 4: Numerical Methods for Common Mathematical Problems 1 Capter 4: Numerical Metods for Common Matematical Problems Interpolation Problem: Suppose we ave data defined at a discrete set of points (x i, y i ), i = 0, 1,..., N. Often it is useful to ave a smoot

More information

Chapter 3 Thermoelectric Coolers

Chapter 3 Thermoelectric Coolers 3- Capter 3 ermoelectric Coolers Contents Capter 3 ermoelectric Coolers... 3- Contents... 3-3. deal Equations... 3-3. Maximum Parameters... 3-7 3.3 Normalized Parameters... 3-8 Example 3. ermoelectric

More information

Consider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx.

Consider a function f we ll specify which assumptions we need to make about it in a minute. Let us reformulate the integral. 1 f(x) dx. Capter 2 Integrals as sums and derivatives as differences We now switc to te simplest metods for integrating or differentiating a function from its function samples. A careful study of Taylor expansions

More information

Study of Convective Heat Transfer through Micro Channels with Different Configurations

Study of Convective Heat Transfer through Micro Channels with Different Configurations International Journal of Current Engineering and Tecnology E-ISSN 2277 4106, P-ISSN 2347 5161 2016 INPRESSCO, All Rigts Reserved Available at ttp://inpressco.com/category/ijcet Researc Article Study of

More information

Excerpt from "Calculus" 2013 AoPS Inc.

Excerpt from Calculus 2013 AoPS Inc. Excerpt from "Calculus" 03 AoPS Inc. Te term related rates refers to two quantities tat are dependent on eac oter and tat are canging over time. We can use te dependent relationsip between te quantities

More information

ERT 216 HEAT & MASS TRANSFER SEM2, 2013/2014

ERT 216 HEAT & MASS TRANSFER SEM2, 2013/2014 ERT 16 HET & MSS TRNSFER SEM, 01/014 Tutorial: Principles of Mass Transfer (Part 1) gas of CH 4 and He is contained in a tube at 10 kpa pressure and 98 K. t one point the partial pressure of methane is

More information

The Foundations of Chemistry 1

The Foundations of Chemistry 1 Te Foundations of Cemistry 1 1-1 (a) Biocemistry is te study of te cemistry of living tings. (b) Analytical cemistry studies te quantitative and qualitative composition analysis of substances. (c) Geocemistry

More information

1 Limits and Continuity

1 Limits and Continuity 1 Limits and Continuity 1.0 Tangent Lines, Velocities, Growt In tion 0.2, we estimated te slope of a line tangent to te grap of a function at a point. At te end of tion 0.3, we constructed a new function

More information

158 Calculus and Structures

158 Calculus and Structures 58 Calculus and Structures CHAPTER PROPERTIES OF DERIVATIVES AND DIFFERENTIATION BY THE EASY WAY. Calculus and Structures 59 Copyrigt Capter PROPERTIES OF DERIVATIVES. INTRODUCTION In te last capter you

More information

5 Ordinary Differential Equations: Finite Difference Methods for Boundary Problems

5 Ordinary Differential Equations: Finite Difference Methods for Boundary Problems 5 Ordinary Differential Equations: Finite Difference Metods for Boundary Problems Read sections 10.1, 10.2, 10.4 Review questions 10.1 10.4, 10.8 10.9, 10.13 5.1 Introduction In te previous capters we

More information

Differentiation. Area of study Unit 2 Calculus

Differentiation. Area of study Unit 2 Calculus Differentiation 8VCE VCEco Area of stud Unit Calculus coverage In tis ca 8A 8B 8C 8D 8E 8F capter Introduction to limits Limits of discontinuous, rational and brid functions Differentiation using first

More information

Hydraulic validation of the LHC cold mass heat exchanger tube.

Hydraulic validation of the LHC cold mass heat exchanger tube. Hydraulic validation o te LHC cold mass eat excanger tube. LHC Project Note 155 1998-07-22 (pilippe.provenaz@cern.c) Pilippe PROVENAZ / LHC-ACR Division Summary Te knowledge o te elium mass low vs. te

More information

Introduction to Mass Transfer

Introduction to Mass Transfer Introduction to Mass Transfer Introduction Three fundamental transfer processes: i) Momentum transfer ii) iii) Heat transfer Mass transfer Mass transfer may occur in a gas mixture, a liquid solution or

More information

SIMG Solution Set #5

SIMG Solution Set #5 SIMG-303-0033 Solution Set #5. Describe completely te state of polarization of eac of te following waves: (a) E [z,t] =ˆxE 0 cos [k 0 z ω 0 t] ŷe 0 cos [k 0 z ω 0 t] Bot components are traveling down te

More information

HOW TO DEAL WITH FFT SAMPLING INFLUENCES ON ADEV CALCULATIONS

HOW TO DEAL WITH FFT SAMPLING INFLUENCES ON ADEV CALCULATIONS HOW TO DEAL WITH FFT SAMPLING INFLUENCES ON ADEV CALCULATIONS Po-Ceng Cang National Standard Time & Frequency Lab., TL, Taiwan 1, Lane 551, Min-Tsu Road, Sec. 5, Yang-Mei, Taoyuan, Taiwan 36 Tel: 886 3

More information

How to Find the Derivative of a Function: Calculus 1

How to Find the Derivative of a Function: Calculus 1 Introduction How to Find te Derivative of a Function: Calculus 1 Calculus is not an easy matematics course Te fact tat you ave enrolled in suc a difficult subject indicates tat you are interested in te

More information

6. Non-uniform bending

6. Non-uniform bending . Non-uniform bending Introduction Definition A non-uniform bending is te case were te cross-section is not only bent but also seared. It is known from te statics tat in suc a case, te bending moment in

More information

On my honor as a student, I have neither given nor received unauthorized assistance on this exam.

On my honor as a student, I have neither given nor received unauthorized assistance on this exam. HW2 (Overview of Transport) (Print name above) On my onor as a student, I ave neiter given nor received unautorized assistance on tis exam. (sign name above) 1 Figure 1: Band-diagram before and after application

More information

Precalculus Test 2 Practice Questions Page 1. Note: You can expect other types of questions on the test than the ones presented here!

Precalculus Test 2 Practice Questions Page 1. Note: You can expect other types of questions on the test than the ones presented here! Precalculus Test 2 Practice Questions Page Note: You can expect oter types of questions on te test tan te ones presented ere! Questions Example. Find te vertex of te quadratic f(x) = 4x 2 x. Example 2.

More information

f a h f a h h lim lim

f a h f a h h lim lim Te Derivative Te derivative of a function f at a (denoted f a) is f a if tis it exists. An alternative way of defining f a is f a x a fa fa fx fa x a Note tat te tangent line to te grap of f at te point

More information

Physicochemical Processes

Physicochemical Processes Lecture 3 Physicochemical Processes Physicochemical Processes Air stripping Carbon adsorption Steam stripping Chemical oxidation Supercritical fluids Membrane processes 1 1. Air Stripping A mass transfer

More information

The structure of the atoms

The structure of the atoms Te structure of te atoms Atomos = indivisible University of Pécs, Medical Scool, Dept. Biopysics All tat exists are atoms and empty space; everyting else is merely tougt to exist. Democritus, 415 B.C.

More information

UNIVERSITY OF SASKATCHEWAN Department of Physics and Engineering Physics

UNIVERSITY OF SASKATCHEWAN Department of Physics and Engineering Physics UNIVERSITY O SASKATCHEWAN Department of Pysics and Engineering Pysics Pysics 117.3 MIDTERM EXAM Regular Sitting NAME: (Last) Please Print (Given) Time: 90 minutes STUDENT NO.: LECTURE SECTION (please ceck):

More information

Digital Filter Structures

Digital Filter Structures Digital Filter Structures Te convolution sum description of an LTI discrete-time system can, in principle, be used to implement te system For an IIR finite-dimensional system tis approac is not practical

More information

Preface. Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed.

Preface. Here are a couple of warnings to my students who may be here to get a copy of what happened on a day that you missed. Preface Here are my online notes for my course tat I teac ere at Lamar University. Despite te fact tat tese are my class notes, tey sould be accessible to anyone wanting to learn or needing a refreser

More information

The Laws of Thermodynamics

The Laws of Thermodynamics 1 Te Laws of Termodynamics CLICKER QUESTIONS Question J.01 Description: Relating termodynamic processes to PV curves: isobar. Question A quantity of ideal gas undergoes a termodynamic process. Wic curve

More information

3.1 Extreme Values of a Function

3.1 Extreme Values of a Function .1 Etreme Values of a Function Section.1 Notes Page 1 One application of te derivative is finding minimum and maimum values off a grap. In precalculus we were only able to do tis wit quadratics by find

More information

The Verlet Algorithm for Molecular Dynamics Simulations

The Verlet Algorithm for Molecular Dynamics Simulations Cemistry 380.37 Fall 2015 Dr. Jean M. Standard November 9, 2015 Te Verlet Algoritm for Molecular Dynamics Simulations Equations of motion For a many-body system consisting of N particles, Newton's classical

More information

Elmahdy, A.H.; Haddad, K. NRCC-43378

Elmahdy, A.H.; Haddad, K. NRCC-43378 Experimental procedure and uncertainty analysis of a guarded otbox metod to determine te termal transmission coefficient of skyligts and sloped glazing Elmady, A.H.; Haddad, K. NRCC-43378 A version of

More information

Analysis of Performance of Packed Columns

Analysis of Performance of Packed Columns Analysis of Performance of Packed Columns There are two packed column experiments in the Unit Operations lab: Liquid-Liquid Extraction (LLE) and Gas Absorption (GA). In both of these experiments, a solute

More information

Diffusion and Adsorption in porous media. Ali Ahmadpour Chemical Eng. Dept. Ferdowsi University of Mashhad

Diffusion and Adsorption in porous media. Ali Ahmadpour Chemical Eng. Dept. Ferdowsi University of Mashhad Diffusion and Adsorption in porous media Ali Ahmadpour Chemical Eng. Dept. Ferdowsi University of Mashhad Contents Introduction Devices used to Measure Diffusion in Porous Solids Modes of transport in

More information

Section 15.6 Directional Derivatives and the Gradient Vector

Section 15.6 Directional Derivatives and the Gradient Vector Section 15.6 Directional Derivatives and te Gradient Vector Finding rates of cange in different directions Recall tat wen we first started considering derivatives of functions of more tan one variable,

More information

Differentiation in higher dimensions

Differentiation in higher dimensions Capter 2 Differentiation in iger dimensions 2.1 Te Total Derivative Recall tat if f : R R is a 1-variable function, and a R, we say tat f is differentiable at x = a if and only if te ratio f(a+) f(a) tends

More information

INTRODUCTION AND MATHEMATICAL CONCEPTS

INTRODUCTION AND MATHEMATICAL CONCEPTS Capter 1 INTRODUCTION ND MTHEMTICL CONCEPTS PREVIEW Tis capter introduces you to te basic matematical tools for doing pysics. You will study units and converting between units, te trigonometric relationsips

More information

Basic Principles of Membrane Technolog

Basic Principles of Membrane Technolog Basic Principles of Membrane Technolog by Marcel Mulder Center for Membrane Science and Technology, University oftwente, Enschede, The Netherlands ff KLUWER ACADEMIC PUBLISHERS DORDRECHT / BOSTON / LONDON

More information

The entransy dissipation minimization principle under given heat duty and heat transfer area conditions

The entransy dissipation minimization principle under given heat duty and heat transfer area conditions Article Engineering Termopysics July 2011 Vol.56 No.19: 2071 2076 doi: 10.1007/s11434-010-4189-x SPECIAL TOPICS: Te entransy dissipation minimization principle under given eat duty and eat transfer area

More information

= 0 and states ''hence there is a stationary point'' All aspects of the proof dx must be correct (c)

= 0 and states ''hence there is a stationary point'' All aspects of the proof dx must be correct (c) Paper 1: Pure Matematics 1 Mark Sceme 1(a) (i) (ii) d d y 3 1x 4x x M1 A1 d y dx 1.1b 1.1b 36x 48x A1ft 1.1b Substitutes x = into teir dx (3) 3 1 4 Sows d y 0 and states ''ence tere is a stationary point''

More information

Solve exponential equations in one variable using a variety of strategies. LEARN ABOUT the Math. What is the half-life of radon?

Solve exponential equations in one variable using a variety of strategies. LEARN ABOUT the Math. What is the half-life of radon? 8.5 Solving Exponential Equations GOAL Solve exponential equations in one variable using a variety of strategies. LEARN ABOUT te Mat All radioactive substances decrease in mass over time. Jamie works in

More information

2016 PRELIM 2 PAPER 2 MARK SCHEME

2016 PRELIM 2 PAPER 2 MARK SCHEME 06 River Valley Hig Scool Prelim Paper Mark Sceme 06 PRELIM PAPER MARK SCHEME (a) V 5.00 X 85. 9V 3 I.7 0 X V I X V I X 0.03 0. 85.9 5.00.7 X 48.3 00 X X 900 00 [A0] Anomalous data can be identified. Systematic

More information

The derivative function

The derivative function Roberto s Notes on Differential Calculus Capter : Definition of derivative Section Te derivative function Wat you need to know already: f is at a point on its grap and ow to compute it. Wat te derivative

More information

Outline. Definition and mechanism Theory of diffusion Molecular diffusion in gases Molecular diffusion in liquid Mass transfer

Outline. 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 information

De-Coupler Design for an Interacting Tanks System

De-Coupler Design for an Interacting Tanks System IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 2278-1676,p-ISSN: 2320-3331, Volume 7, Issue 3 (Sep. - Oct. 2013), PP 77-81 De-Coupler Design for an Interacting Tanks System

More information

Exam 1 Review Solutions

Exam 1 Review Solutions Exam Review Solutions Please also review te old quizzes, and be sure tat you understand te omework problems. General notes: () Always give an algebraic reason for your answer (graps are not sufficient),

More information

Finding and Using Derivative The shortcuts

Finding and Using Derivative The shortcuts Calculus 1 Lia Vas Finding and Using Derivative Te sortcuts We ave seen tat te formula f f(x+) f(x) (x) = lim 0 is manageable for relatively simple functions like a linear or quadratic. For more complex

More information

. If lim. x 2 x 1. f(x+h) f(x)

. If lim. x 2 x 1. f(x+h) f(x) Review of Differential Calculus Wen te value of one variable y is uniquely determined by te value of anoter variable x, ten te relationsip between x and y is described by a function f tat assigns a value

More information

pancakes. A typical pancake also appears in the sketch above. The pancake at height x (which is the fraction x of the total height of the cone) has

pancakes. A typical pancake also appears in the sketch above. The pancake at height x (which is the fraction x of the total height of the cone) has Volumes One can epress volumes of regions in tree dimensions as integrals using te same strateg as we used to epress areas of regions in two dimensions as integrals approimate te region b a union of small,

More information

Section 2: The Derivative Definition of the Derivative

Section 2: The Derivative Definition of the Derivative Capter 2 Te Derivative Applied Calculus 80 Section 2: Te Derivative Definition of te Derivative Suppose we drop a tomato from te top of a 00 foot building and time its fall. Time (sec) Heigt (ft) 0.0 00

More information

10.1 VIBRATIONAL RELAXATION *

10.1 VIBRATIONAL RELAXATION * Andrei Tokmakoff, MIT Department of Cemistry, 3//009 p. 0-0. VIRATIONAL RELAXATION * Here we want to address ow a quantum mecanical vibration undergoes irreversible energy dissipation as a result of interactions

More information

LIMITS AND DERIVATIVES CONDITIONS FOR THE EXISTENCE OF A LIMIT

LIMITS AND DERIVATIVES CONDITIONS FOR THE EXISTENCE OF A LIMIT LIMITS AND DERIVATIVES Te limit of a function is defined as te value of y tat te curve approaces, as x approaces a particular value. Te limit of f (x) as x approaces a is written as f (x) approaces, as

More information

Lines, Conics, Tangents, Limits and the Derivative

Lines, Conics, Tangents, Limits and the Derivative Lines, Conics, Tangents, Limits and te Derivative Te Straigt Line An two points on te (,) plane wen joined form a line segment. If te line segment is etended beond te two points ten it is called a straigt

More information

Section 3: The Derivative Definition of the Derivative

Section 3: The Derivative Definition of the Derivative Capter 2 Te Derivative Business Calculus 85 Section 3: Te Derivative Definition of te Derivative Returning to te tangent slope problem from te first section, let's look at te problem of finding te slope

More information

Why gravity is not an entropic force

Why gravity is not an entropic force Wy gravity is not an entropic force San Gao Unit for History and Pilosopy of Science & Centre for Time, SOPHI, University of Sydney Email: sgao7319@uni.sydney.edu.au Te remarkable connections between gravity

More information

5.1 We will begin this section with the definition of a rational expression. We

5.1 We will begin this section with the definition of a rational expression. We Basic Properties and Reducing to Lowest Terms 5.1 We will begin tis section wit te definition of a rational epression. We will ten state te two basic properties associated wit rational epressions and go

More information

Derivatives. By: OpenStaxCollege

Derivatives. By: OpenStaxCollege By: OpenStaxCollege Te average teen in te United States opens a refrigerator door an estimated 25 times per day. Supposedly, tis average is up from 10 years ago wen te average teenager opened a refrigerator

More information

Part I.

Part 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 information

4. The slope of the line 2x 7y = 8 is (a) 2/7 (b) 7/2 (c) 2 (d) 2/7 (e) None of these.

4. The slope of the line 2x 7y = 8 is (a) 2/7 (b) 7/2 (c) 2 (d) 2/7 (e) None of these. Mat 11. Test Form N Fall 016 Name. Instructions. Te first eleven problems are wort points eac. Te last six problems are wort 5 points eac. For te last six problems, you must use relevant metods of algebra

More information

Chapter 1D - Rational Expressions

Chapter 1D - Rational Expressions - Capter 1D Capter 1D - Rational Expressions Definition of a Rational Expression A rational expression is te quotient of two polynomials. (Recall: A function px is a polynomial in x of degree n, if tere

More information

Prediction of Coating Thickness

Prediction of Coating Thickness Prediction of Coating Tickness Jon D. Wind Surface Penomena CE 385M 4 May 1 Introduction Tis project involves te modeling of te coating of metal plates wit a viscous liquid by pulling te plate vertically

More information

Work and Energy. Introduction. Work. PHY energy - J. Hedberg

Work and Energy. Introduction. Work. PHY energy - J. Hedberg Work and Energy PHY 207 - energy - J. Hedberg - 2017 1. Introduction 2. Work 3. Kinetic Energy 4. Potential Energy 5. Conservation of Mecanical Energy 6. Ex: Te Loop te Loop 7. Conservative and Non-conservative

More information

2.11 That s So Derivative

2.11 That s So Derivative 2.11 Tat s So Derivative Introduction to Differential Calculus Just as one defines instantaneous velocity in terms of average velocity, we now define te instantaneous rate of cange of a function at a point

More information

3.4 Worksheet: Proof of the Chain Rule NAME

3.4 Worksheet: Proof of the Chain Rule NAME Mat 1170 3.4 Workseet: Proof of te Cain Rule NAME Te Cain Rule So far we are able to differentiate all types of functions. For example: polynomials, rational, root, and trigonometric functions. We are

More information

1. Consider the trigonometric function f(t) whose graph is shown below. Write down a possible formula for f(t).

1. Consider the trigonometric function f(t) whose graph is shown below. Write down a possible formula for f(t). . Consider te trigonometric function f(t) wose grap is sown below. Write down a possible formula for f(t). Tis function appears to be an odd, periodic function tat as been sifted upwards, so we will use

More information

3 Minority carrier profiles (the hyperbolic functions) Consider a

3 Minority carrier profiles (the hyperbolic functions) Consider a Microelectronic Devices and Circuits October 9, 013 - Homework #3 Due Nov 9, 013 1 Te pn junction Consider an abrupt Si pn + junction tat as 10 15 acceptors cm -3 on te p-side and 10 19 donors on te n-side.

More information

Exam in Fluid Mechanics SG2214

Exam in Fluid Mechanics SG2214 Exam in Fluid Mecanics G2214 Final exam for te course G2214 23/10 2008 Examiner: Anders Dalkild Te point value of eac question is given in parentesis and you need more tan 20 points to pass te course including

More information

Performance analysis of Carbon Nano Tubes

Performance analysis of Carbon Nano Tubes IOSR Journal of Engineering (IOSRJEN) ISSN: 2250-3021 Volume 2, Issue 8 (August 2012), PP 54-58 Performance analysis of Carbon Nano Tubes P.S. Raja, R.josep Daniel, Bino. N Dept. of E & I Engineering,

More information

Math 1241 Calculus Test 1

Math 1241 Calculus Test 1 February 4, 2004 Name Te first nine problems count 6 points eac and te final seven count as marked. Tere are 120 points available on tis test. Multiple coice section. Circle te correct coice(s). You do

More information

Experimental Analysis of Heat Transfer Augmentation in Double Pipe Heat Exchanger using Tangential Entry of Fluid

Experimental Analysis of Heat Transfer Augmentation in Double Pipe Heat Exchanger using Tangential Entry of Fluid ISR Journal of Mecanical & Civil Engineering (ISRJMCE) e-issn: 2278-1684,p-ISSN: 2320-334X PP 29-34 www.iosrjournals.org Experimental Analysis of Heat Transfer Augmentation in Double Pipe Heat Excanger

More information