ChemE 123 LE1 Conceptual

4.3(6)
learnLearn
examPractice Test
spaced repetitionSpaced Repetition
heart puzzleMatch
flashcardsFlashcards
Card Sorting

1/67

flashcard set

Earn XP

Description and Tags

Study Analytics
Name
Mastery
Learn
Test
Matching
Spaced

No study sessions yet.

68 Terms

1
New cards
Properties
Quantities that are characteristic of the system
2
New cards
T, P, xi, yi, density, H, U, V
Examples of properties
3
New cards
Intensive property
Independent of quantity of material
4
New cards
Extensive property
Dependent on quantity of material
5
New cards
State
Condition in which system is found at any given time; established by fixed values of intensive properties of a substance
6
New cards
Phase
Homogeneous region of matter
7
New cards
Phase diagram
Can only know definite phase if in equilibrium
8
New cards
Phase rule
State of equilibrium is defined by a set of intensive properties
9
New cards
Degrees of Freedom
No. of independent (intensive) variables that must be arbitrarily fixed to establish state of system in equilibrium
10
New cards
Gibb’s Phase Rule
F = 2 - pi + N (pi phases, N components); F = No. of independent intensive variables - No. of independent equations
11
New cards
Gibb’s Phase Rule
No. of variables = 2 + (N-1)(pi); No. of equations = (pi-1)(N)
12
New cards
Effect of liquid miscibility on pi
Miscible = 1, Immiscible = 1+
13
New cards
Pi of solid components
1 different solid, pi = 1
14
New cards
Three (3)
Max. no. of variables that can be fixed to a binary system \[P, T, and 1 mole/mass fraction\]
15
New cards
Effect of pi on Degrees of Freedom
↑ pi ↓ F
16
New cards
Duhem’s Rule
“For any ***closed system***, formed initially from given masses of prescribed chemical species, the equilibrium state is completely determined when ***any 2 independent variables*** are fixed.”
17
New cards
Duhem’s Rule
Applied to closed systems in equilibrium, in which intensive and extensive states are kept as ***constant***.
18
New cards
Duhem’s Rule
2 variables can be intensive or extensive. When F = 1, at least one of the two variables must be extensive, and when F = 0, both must be extensive
19
New cards
Txy Diagram
Lower line = bubble line, Upper line = dew line
20
New cards
Pxy Diagram
Lower line = dew line, Upper line = bubble line
21
New cards
Pxy/Txy Diagrams
Lower BP = more volatile, Higher P = more volatile (harder to compress)
22
New cards
Bubble point
* First bubble of vapor from a liquid mixture appears at a given composition
* Last bubble of a vapor mixture disappears at a given composition
23
New cards
Dew point
* First drop of liquid from a vapor mixture appears at a given composition
* Last liquid drop of a liquid mixture disappears at a given composition
24
New cards
Azeotrope
Point at which the equilibrium liquid and vapor compositions are equal at an intermediate mixture composition
25
New cards
Azeotrope
* constant-boiling mixtures
* separation by distillation not possible
* crossed 45-deg line (xy-diagram)
26
New cards
Types of azeotropes

1. Maximum-pressure, Minimum-boiling
2. Minimum-pressure, Maximum-boiling
27
New cards
Raoult’s law
yiP = xiPisat
28
New cards
Raoult’s Law
* Assumptions
* Vapor phase is an ideal gas (negligible intermolecular interactions)
* Low to moderate pressures
29
New cards
Raoult’s Law
* Assumptions
* Liquid phase is an ideal solution (similar structures)
* mixture of isomers
* mixture of adjacent members of a homologous series
30
New cards
Bubble P calc

1. ΣxiPisat = P
2. yi = (xiPisat)/P
31
New cards
Dew P calc

1. 1/(Σyi/Pisat) = P
2. xi = (yiP)/(Pisat)
32
New cards
Bubble T calc

1. ΣxiTisat = T0
2. ΣxiPisat = P where Pisat is in exponential form
3. Shift-solve with T = T0
4. yi = (xiPisat)/P
33
New cards
Dew T calc

1. ΣxiTisat = T0
2. 1/(Σyi/Pisat) = P where Pisat is in exponential form
3. Shift-solve with T = T0
4. xi = (yiP)/(Pisat)
34
New cards
Henry’s Law
yiP = xiHi
35
New cards
Henry’s Law
* Assumptions
* vapor phase is an ideal gas
* low to moderate pressures
* species i is a very dilute solute in the liquid phase
36
New cards
Modified Raoult’s Law
yiP = γixiPisat
37
New cards
Modified Raoult’s Law
* Assumptions
* Vapor phase is an ideal gas
* low to moderate pressures
38
New cards
Activity coefficient (γ)
Takes account deviation of liquid phase from ideality; function of composition and/or temperature
39
New cards
Modified Bubble P calc

1. Solve: P1sat(T), P2sat(T), A, & 𝛾𝑖(x,T)
2. Σ𝛾𝑖xiPisat = P
3. yi = 𝛾𝑖xiPisat/P
40
New cards
Modified Dew P calc

1. Solve: P1sat(T), P2sat(T), A
2. Table: γ1, γ2, y1/γ1P1sat, y2/γ2P2sat, Pressure, x1, x2
3. Iteration 0: γ1 = γ2 = 1 → y1/γ1P1sat, y2/γ2P2sat → P = 1/(y1/γ1P1sat + y2/γ2P2sat) → xi0 = (yi/γiPisat)\*P
4. Iteration 1: γi = f(xi0, T) → y1/γ1P1sat, y2/γ2P2sat → P = 1/(y1/γ1P1sat + y2/γ2P2sat) → xi = (yi/γiPisat)\*P
5. Repeat iterations
41
New cards
Modified Bubble T calc

1. Solve: T1sat(P), T2sat(P), T0 = x1T1sat + x2T2sat
2. Table: Temp, A, γ1, γ2, α11, α21, x1γ1α11, x2γ2α21, P1sat, P2sat, y1, y2
3. Iteration 0: Temp = T0 → A0 = f(T0) → γi0 = f(x,T0) → αii = 1, αik = exp(Ai - (Bi/(Ci+T0)) - Ak + (Bk/(Ck+T0))) → x1γ1α11, x2γ2α21 → P1sat = P/(x1γ1α11 + x2γ2α21)
4. Iteration 1: Temp = T(P1sat) → A = f(T) → γi = f(x,T) → αii = 1, αik = exp(Ai - (Bi/(Ci+T)) - Ak + (Bk/(Ck+T))) → x1γ1α11, x2γ2α21 → P1sat = P/(x1γ1α11 + x2γ2α21) → P2sat = f(T)
5. Repeat iterations until convergence
6. yi = 𝛾𝑖xiPisat/P
42
New cards
Modified Dew T calc

1. Solve: T1sat(P), T2sat(P), T0 = y1T1sat + y2T2sat
2. Table: α11, α21, x1, x2, A, γ1, γ2, y1/γ1α11, y2/γ2α21, P1sat, Temp, P2sat
3. Iteration 0: γi0 = 1 → Temp = T0 → Pisat0 = f(T0)
4. Iteration 1: αii = 1, αik = Pisat0/Pksat0 → xi = yiP/γi0Pisat0 → A = f(T0) → γi = f(x,T) → y1/γ1α11, y2/γ2α21, P1sat = P\*(y1/γ1α11 + y2/γ2α21), Temp = f(P1sat), P2sat = f(T)
5. Repeat iterations until convergence
43
New cards
K-value
Partition ratio; preference to vapor over liquid
44
New cards
K-value (formula)
Ki = yi/xi
45
New cards
K-value (Raoult’s Law)
K = Pisat/P
46
New cards
K-value (Modified Raoult’s Law)
K = γiPisat/P
47
New cards
Bubble point (K-values)
ΣKixi = 1
48
New cards
Dew point (K-values)
Σyi/Ki = 1
49
New cards
Flashing
Partial evaporation; liquid to liquid and vapor phase as a result of pressure reduction
50
New cards
Gibbs Free Energy
Easy to measure because of T&P experimental values
51
New cards
Fundamental Property Relation
d(nG) = (nV)dP - (nS)dT + Σµidni (single-phase fluid system; variable mass and composition)
52
New cards
Chemical potential
µi = \[∂(nG)/∂ni\]_P,T,nj
53
New cards
Chemical potential
Partial molar Gibbs energy; measures response of total Gibbs energy of a solution to addition of a differential amount of species i at constant T&P
54
New cards
Gibbs energy as generating function
Provides the means for calculation of ***all other thermodynamic properties*** by simple mathematical operations and implicitly represents ***complete property information***
55
New cards
Functions generated by Gibbs free energy

1. V = \[∂G/∂P\]_T,x
2. S = -\[∂G/∂T\]_P,x
3. H = G - T\[∂G/∂T\]_P,x
4. U = H - P\[∂G/∂P\]_T,x
5. A = T\[∂G/∂T\]_P,x - P\[∂G/∂P\]_T,x
56
New cards
Phase equilibria
µi,alpha = µi,beta = … = µi,pi (for closed system, multiple pi phases with N number of species at same T and P in equilibrium)
57
New cards
Phase equilibria
Multiple phases at same T&P are ***in equilibrium*** when the chemical potential of each species is the ***same in all phases***
58
New cards
Solution properties
Properties of ***WHOLE*** solution (usually per mole of solution) \[ex. V, U, H, S, G\]
59
New cards
Partial properties
Properties of species of solution when it’s ***MIXED*** with other species \[ex. Vi_bar, Ui_bar, Hi_bar, Si_bar, Gi_bar\]
60
New cards
Pure species properties
Properties of species when it’s ***ALONE*** in solution \[ex. Vi, Ui, Hi, Si, Gi\]
61
New cards
Pure-species component property
when xi = 1, Mi = Mi_bar = M
62
New cards
Infinite dilution partial property
when xi = 0, Mi_bar = Mi_bar,∞
63
New cards
Partial molar property
Mi_bar = \[∂(nM)/∂ni\]_P,T,nj
64
New cards
Partial molar property
Measures ***response of solution property*** nM to ***addition*** at constant T&P of ***differential amount of species i*** to a finite amount of solution
65
New cards
Summability relation
M = ΣxiMi_bar; nM = ΣniMi_bar
66
New cards
Gibbs/Duhem equation
(∂M/∂P)_T,x dP + (∂M/∂T)_P,x dT = Σxid(Mi_bar); at constant T&P, Σxid(Mi_bar) = 0
67
New cards
Relations in binary solution
* M1_bar = M + x2(dM/dx1)
* M2_bar = M - x1(dM/dx1)
* x1(dM1_bar/dx1) + x2(dM2_bar/dx1) = 0
68
New cards
Equation analog
* Solution: nH = nU + P(nV); Partial: Hi_bar = Ui_bar + PVi_bar
* Solution: nA = nU - T(nS); Partial: Ai_bar = Ui_bar - TSi_bar
* Solution: nG = nH - T(nS); Partial: Gi_bar = Hi_bar - TSi_bar