Ch2 Engineering Calculations
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Transcript of Ch2 Engineering Calculations
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CHEE 2331
em ca rocessesem ca rocesses
Spring 2012Spring 2012
Cha ter Cha ter 2:2:
Engineering CalculationsEngineering Calculations
Department of Chemical andDepartment of Chemical and Biomolecular Biomolecular EngineeringEngineering
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Flow DiagramInput Stream(s) Heat (energy)
Output Stream(s)
Work (energy)
General Material/Energy balance:
Accumulation = Input + Generation – Output – Consumption
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Quantities (how much)…
Two types:
e.g., apples, children, cows
Measured: quantities that are measured with an
instrument of given precision and accuracy
. ., .value
95% sure it is
unit dimension of length
between 12.335
and 12.345)
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Units…
1. Base units System of units
SI cgs American
Length L
me r c ng neer ng
m cm ft
Mass M kg g lbm
Temperature T K oC oF
(Electrical current i)
(Light intensity I)
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Units…2. Multiple units
American
Length L
me r c ng neer ng
mm, cm, m, km in, ft, yd, mile
Mass M mg, g, kg, ton oz, lbm, ton
Prefixes
tera(T) = 1012 centi(c) = 10-2
giga(G) = 109 milli(m) = 10-3
mega(M)= 106 micro(μ) = 10-6
kilo(k) = 103 nano(n) = 10-9
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Units…
3. Derived units
(combinations of
System of units
SI cgs American
Volume, L3
m3 cm3, liter ft3, gal
Velocity, L/t m/s cm/s, km/h ft/s, miles/hr
Acceleration, L/t
Force ML/t2
m/s2 cm/s2 ft/s2
K m/s2 cm/s2 lb
Energy, ML2 /t2
(Newton) (dyne) (lb force)
N m dyne cm lbf ft
Power, ML2
/t3
J/s erg/s lbf ft/s(Watt) (hp)
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…
• n y a an su rac quan es w
the same units.
• Multiply and divide derived units.
• Convert between units using the
conversion factors (see table in the front
cover of the textbook).
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.
27.7 kg 2.20462 lbm 5x10
-4
tonkg lbm= 0.0305 ton
OR:
27.7 kg 5x10-4 ton0.4536 kg
= 0.0305 ton
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Mass (M) and weight (W)…
Newton’s Second Law of Motion…force = mass * acceleration
= *
SI units: 1 N (newton) = 1 kg*m/s2
cgs units: 1 dyne = 1 g*cm/s2
AE units: definition: 1 lbf = 32.174 lbm*ft/s2
This “conversion factor” is designated as g
gc = 32.174 (lbm* ft/s2)/lbf
Conversion factors from “Natural” to “Derived” force units (N, dynes, lbf)
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“Weight” is the force on a body due to
. .
W = Mg (compare to F = Ma)
where g = 9.8066 m/s2 (SI) at 45o, sea level
= 980.66 cm/s (cgs)
= 32.174 ft/s2 AE
Acceleration of gravity g is changing with
, .
m
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Number of Significant Figures (NSF)…Rules:
(1) For numbers with a decimal point, the NSF is counted
-
to the last non-zero or zero number.
. .
(2) For numbers without a decimal point, the NSF iscounted from the first non-zero number of the left to
the last non-zero number.
35260 4 SF
, ,
factor, NSF is infinite.
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(4) For multiplication or division, the final NSF is equal to the
lowest NSF of the numbers involved.
3 4 3 3
(3.57)(4.386) = 15.30102 15.3
(5) For addition or subtraction, the NSF of the number whoselast significant figure is farthest to the left is the final NSF.
1530 – 2.56 1530
-2.56
1527.44 1530
(6) When the last number to be dropped is 5, round off to
give an even number.
1.35 1.4
1.25 1.2
(7) For a long series of calculations, carry extra SF and round off
at the end of the calculation.
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More Rules on significant figures
• All nonzero digits are significant.
• Zeros between nonzero digits are significant.
• Leadin zeros to the left of the first nonzero di it are
not significant: 0.012 grams 2 significant figures• Trailing zeros to the right of a decimal are significant:
.
• To avoid ambiguity use scientific notation:
50,600 may be 3, 4, or 5 significant figures
50,600 = 5.0600 x 104 has 5 significant figures
.
5.06 x 104 has 3 significant figures
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Validate answers
(1) Back-substitute to see if it works.
(2) Order-of-magnitude estimation.
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Sample Mean, Variance, Standard Deviation
, .
•Reaction: A products, always start with the same amount of
pure A.
• ,
conversion of A; let’s call it X.
•Repeat the same experiment multiple times.
Will you get the same X for every experiment? What is the true
value of X?
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1 1 N
1 2 3
1
... N j
j N N
2 2 2 2
1 2[( ) ( ) ...( ) ]
1 X N s X X X X X X
N
Variance
Data set (b) shows greater variance
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2
X X s sStandard Deviation
Roughly 2/3 of the data points are within 1 standard deviation
,
about 99% are within 3 standard deviations.
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Data representation and analysisImagine an instrument or process, in which a directly-measured
quantity (“x”) (such as light absorbance or titration volume) is
related to a process variable “y” (such as concentration).
Based on collected data in which the process variable is known, wecan generate a calibration curve (essentially an equation).
Process variable (y) is now calculated from new measured “x” data
by interpolation or extrapolation.
In the simplest case, x and y are related linearly: y = ax + b
rom wo a a po n s x1, y1 , x2, y2 :
1 x x 12
12
1
x x
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Non-linear relations can often be rearranged and plotted as
strai ht lines
• Convert to a linear form by selecting appropriate variables (does not
work always).
• Log-log and semi-log plots are often used.•a and b are constants.
Relationship X axis Y axis Slope Intercept
Z = a M2 + b M2 Z a b
=
Z = a Mb ln(M) ln(Z) b ln(a)
Z = a e M ln(Z) b ln(a)
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When you plot values of variable y on a logarithmic scale you
are essentially plotting the logarithm of y on a linear scale.
Semilog plot: y axis is logarithmic, x axis is linear.Log plot: both y and x axes are logarithmic.