Capítulo 02 considerações estatísticas

(b) f/(N x) = f/(69 · 10) = f/690
Eq. (2-9) ¯x =
8480
69
= 122.9 kcycles
Eq. (2-10) sx =
1 104 600 − 84802
/69
69 − 1
1/2
= 30.3 kcycles Ans.
x f fx f x2
f/(N x)
60 2 120 7200 0.0029
70 1 70 4900 0.0015
80 3 240 19200 0.0043
90 5 450 40500 0.0072
100 8 800 80000 0.0116
110 12 1320 145200 0.0174
120 6 720 86400 0.0087
130 10 1300 169000 0.0145
140 8 1120 156800 0.0116
150 5 750 112500 0.0174
160 2 320 51200 0.0029
170 3 510 86700 0.0043
180 2 360 64 800 0.0029
190 1 190 36100 0.0015
200 0 0 0 0
210 1 210 44100 0.0015
69 8480 1104 600
Chapter 2
2-1
(a)
0
60 210190 200180170160150140130120110100908070
2
4
6
8
10
12
shi20396_ch02.qxd 7/21/03 3:28 PM Page 8

Chapter 2 9
2-2 Data represents a 7-class histogram with N = 197.
2-3
Form a table:
¯x =
4548
58
= 78.4 kpsi
sx =
359 088 − 45482
/58
58 − 1
1/2
= 6.57 kpsi
From Eq. (2-14)
f (x) =
1
6.57
√
2π
exp −
1
2
x − 78.4
6.57
2
x f fx f x2
64 2 128 8192
68 6 408 27744
72 6 432 31104
76 9 684 51984
80 19 1520 121600
84 10 840 70560
88 4 352 30976
92 2 184 16928
58 4548 359088
x f fx f x2
174 6 1044 181656
182 9 1638 298116
190 44 8360 1588400
198 67 13266 2626688
206 53 10918 2249108
214 12 2568 549552
220 6 1320 290400
197 39114 7789900
¯x =
39 114
197
= 198.55 kpsi Ans.
sx =
7 783 900 − 39 1142
/197
197 − 1
1/2
= 9.55 kpsi Ans.
shi20396_ch02.qxd 7/21/03 3:28 PM Page 9

10 Solutions Manual • Instructor’s Solution Manual to Accompany Mechanical Engineering Design
2-4 (a)
y f fy f y2
y f/(Nw) f(y) g(y)
5.625 1 5.625 31.64063 5.625 0.072727 0.001262 0.000 295
5.875 0 0 0 5.875 0 0.008586 0.004 088
6.125 0 0 0 6.125 0 0.042038 0.031 194
6.375 3 19.125 121.9219 6.375 0.218182 0.148106 0.140 262
6.625 3 19.875 131.6719 6.625 0.218182 0.375493 0.393 667
6.875 6 41.25 283.5938 6.875 0.436364 0.685057 0.725 002
7.125 14 99.75 710.7188 7.125 1.018 182 0.899 389 0.915 128
7.375 15 110.625 815.8594 7.375 1.090 909 0.849 697 0.822 462
7.625 10 76.25 581.4063 7.625 0.727 273 0.577 665 0.544 251
7.875 2 15.75 124.0313 7.875 0.145455 0.282608 0.273 138
8.125 1 8.125 66.01563 8.125 0.072727 0.099492 0.10672
55 396.375 2866.859
For a normal distribution,
¯y = 396.375/55 = 7.207, sy =
2866.859 − (396.3752
/55)
55 − 1
1/2
= 0.4358
f (y) =
1
0.4358
√
2π
exp −
1
2
x − 7.207
0.4358
2
For a lognormal distribution,
¯x = ln 7.206 818 − ln
√
1 + 0.060 4742 = 1.9732, sx = ln
√
1 + 0.060 4742 = 0.0604
g(y) =
1
x(0.0604)(
√
2π)
exp −
1
2
ln x − 1.9732
0.0604
2
(b) Histogram
0
0.2
0.4
0.6
0.8
1
1.2
5.63 5.88 6.13 6.38 6.63 6.88
log N
7.13 7.38 7.63 7.88 8.13
Data
N
LN
f
shi20396_ch02.qxd 7/21/03 3:28 PM Page 10

Chapter 2 11
2-5 Distribution is uniform in interval 0.5000 to 0.5008 in, range numbers are a = 0.5000,
b = 0.5008 in.
(a) Eq. (2-22) µx =
a + b
2
=
0.5000 + 0.5008
2
= 0.5004
Eq. (2-23) σx =
b − a
2
√
3
=
0.5008 − 0.5000
2
√
3
= 0.000 231
(b) PDF from Eq. (2-20)
f (x) =
1250 0.5000 ≤ x ≤ 0.5008 in
0 otherwise
(c) CDF from Eq. (2-21)
F(x) =



0 x < 0.5000
(x − 0.5)/0.0008 0.5000 ≤ x ≤ 0.5008
1 x > 0.5008
If all smaller diameters are removed by inspection, a = 0.5002, b = 0.5008
µx =
0.5002 + 0.5008
2
= 0.5005 in
ˆσx =
0.5008 − 0.5002
2
√
3
= 0.000 173 in
f (x) =
1666.7 0.5002 ≤ x ≤ 0.5008
0 otherwise
F(x) =



0 x < 0.5002
1666.7(x − 0.5002) 0.5002 ≤ x ≤ 0.5008
1 x > 0.5008
2-6 Dimensions produced are due to tool dulling and wear. When parts are mixed, the distribution
is uniform. From Eqs. (2-22) and (2-23),
a = µx −
√
3s = 0.6241 −
√
3(0.000 581) = 0.6231 in
b = µx +
√
3s = 0.6241 +
√
3(0.000 581) = 0.6251 in
We suspect the dimension was
0.623
0.625
in Ans.
shi20396_ch02.qxd 7/21/03 3:28 PM Page 11

2-7 F(x) = 0.555x − 33 mm
(a) Since F(x) is linear, the distribution is uniform at x = a
F(a) = 0 = 0.555(a) − 33
∴ a = 59.46 mm. Therefore, at x = b
F(b) = 1 = 0.555b − 33
∴ b = 61.26 mm. Therefore,
F(x) =



0 x < 59.46 mm
0.555x − 33 59.46 ≤ x ≤ 61.26 mm
1 x > 61.26 mm
The PDF is dF/dx, thus the range numbers are:
f (x) =
0.555 59.46 ≤ x ≤ 61.26 mm
0 otherwise
Ans.
From the range numbers,
µx =
59.46 + 61.26
2
= 60.36 mm Ans.
ˆσx =
61.26 − 59.46
2
√
3
= 0.520 mm Ans.
1
(b) σ is an uncorrelated quotient ¯F = 3600 lbf, ¯A = 0.112 in2
CF = 300/3600 = 0.083 33, CA = 0.001/0.112 = 0.008 929
From Table 2-6, for σ
¯σ =
µF
µA
=
3600
0.112
= 32 143 psi Ans.
ˆσσ = 32 143
(0.083332
+ 0.0089292
)
(1 + 0.0089292)
1/2
= 2694 psi Ans.
Cσ = 2694/32 143 = 0.0838 Ans.
Since F and A are lognormal, division is closed and σ is lognormal too.
σ = LN(32 143, 2694) psi Ans.
shi20396_ch02.qxd 7/21/03 3:28 PM Page 12

Chapter 2 13
2-8 Cramer’s rule
a1 =
y x2
xy x3
x x2
x2
x3
=
y x3
− xy x2
x x3 − ( x2)2
Ans.
a2 =
x y
x2
xy
x x2
x2
x3
=
x xy − y x2
x x3 − ( x2)2
Ans.
Ϫ0.05
0
0.05
0.1
0.15
0.2
0.25
0.3
0 0.2 0.4 0.6 0.8 1
Data
Regression
x
y
x y x2
x3
xy
0 0.01 0 0 0
0.2 0.15 0.04 0.008 0.030
0.4 0.25 0.16 0.064 0.100
0.6 0.25 0.36 0.216 0.150
0.8 0.17 0.64 0.512 0.136
1.0 −0.01 1.00 1.000 −0.010
3.0 0.82 2.20 1.800 0.406
a1 = 1.040 714 a2 = −1.046 43 Ans.
Data Regression
x y y
0 0.01 0
0.2 0.15 0.166 286
0.4 0.25 0.248 857
0.6 0.25 0.247 714
0.8 0.17 0.162 857
1.0 −0.01 −0.005 71
shi20396_ch02.qxd 7/21/03 3:28 PM Page 13

2-9
0
20
40
60
80
100
120
140
0 100 200
Su
SeЈ
300 400
Data
Regression
Data Regression
Su Se Se S2
u Su Se
0 20.35675
60 30 39.08078 3600 1800
64 48 40.32905 4096 3072
65 29.5 40.64112 4225 1917.5
82 45 45.94626 6724 3690
101 51 51.87554 10201 5151
119 50 57.49275 14161 5950
120 48 57.80481 14400 5760
130 67 60.92548 16900 8710
134 60 62.17375 17956 8040
145 64 65.60649 21025 9280
180 84 76.52884 32400 15120
195 78 81.20985 38025 15210
205 96 84.33052 42025 19680
207 87 84.95466 42849 18009
210 87 85.89086 44100 18270
213 75 86.82706 45369 15975
225 99 90.57187 50625 22275
225 87 90.57187 50625 19575
227 116 91.196 51529 26332
230 105 92.1322 52900 24150
238 109 94.62874 56644 25942
242 106 95.87701 58564 25652
265 105 103.0546 70225 27825
280 96 107.7356 78400 26880
295 99 112.4166 87025 29205
325 114 121.7786 105625 37050
325 117 121.7786 105625 38025
355 122 131.1406 126025 43310
5462 2274.5 1251868 501855.5
m = 0.312067 b = 20.35675 Ans.
shi20396_ch02.qxd 7/21/03 3:28 PM Page 14

Chapter 2 15
2-10 E = y − a0 − a2x2 2
∂E
∂a0
= −2 y − a0 − a2x2
= 0
y − na0 − a2 x2
= 0 ⇒ y = na0 + a2 x2
∂E
∂a2
= 2 y − a0 − a2x2
(2x) = 0 ⇒ xy = a0 x + a2 x3
Ans.
Cramer’s rule
a0 =
y x2
xy x3
n x2
x x3
=
x3
y − x2
xy
n x3 − x x2
a2 =
n y
x xy
n x2
x x3
=
n xy − x y
n x3 − x x2
a0 =
800 000(56) − 12 000(2400)
4(800 000) − 200(12 000)
= 20
a2 =
4(2400) − 200(56)
4(800 000) − 200(12 000)
= −0.002
Data
Regression
0
5
10
15
y
x
20
25
0 20 40 60 80 100
Data Regression
x y y x2
x3
xy
20 19 19.2 400 8000 380
40 17 16.8 1600 64000 680
60 13 12.8 3600 216000 780
80 7 7.2 6400 512000 560
200 56 12000 800000 2400
shi20396_ch02.qxd 7/21/03 3:28 PM Page 15

2-11
Data Regression
x y y x2
y2
xy x − ¯x (x − ¯x)2
0.2 7.1 7.931803 0.04 50.41 1.42 −0.633333 0.401111111
0.4 10.3 9.884918 0.16 106.09 4.12 −0.433333 0.187777778
0.6 12.1 11.838032 0.36 146.41 7.26 −0.233333 0.054444444
0.8 13.8 13.791147 0.64 190.44 11.04 −0.033333 0.001111111
1 16.2 15.744262 1.00 262.44 16.20 0.166666 0.027777778
2 25.2 25.509836 4.00 635.04 50.40 1.166666 1.361111111
5 84.7 6.2 1390.83 90.44 0 2.033333333
ˆm = k =
6(90.44) − 5(84.7)
6(6.2) − (5)2
= 9.7656
ˆb = Fi =
84.7 − 9.7656(5)
6
= 5.9787
(a) ¯x =
5
6
; ¯y =
84.7
6
= 14.117
Eq. (2-37)
syx =
1390.83 − 5.9787(84.7) − 9.7656(90.44)
6 − 2
= 0.556
Eq. (2-36)
sˆb = 0.556
1
6
+
(5/6)2
2.0333
= 0.3964 lbf
Fi = (5.9787, 0.3964) lbf Ans.
F
x0
5
10
15
20
25
30
0 10.5 1.5 2 2.5
Data
Regression
shi20396_ch02.qxd 7/21/03 3:28 PM Page 16

Chapter 2 17
(b) Eq. (2-35)
s ˆm =
0.556
√
2.0333
= 0.3899 lbf/in
k = (9.7656, 0.3899) lbf/in Ans.
2-12 The expression = δ/l is of the form x/y. Now δ = (0.0015, 0.000 092) in, unspecified
distribution; l = (2.000, 0.0081) in, unspecified distribution;
Cx = 0.000 092/0.0015 = 0.0613
Cy = 0.0081/2.000 = 0.000 75
From Table 2-6, ¯ = 0.0015/2.000 = 0.000 75
ˆσ = 0.000 75
0.06132
+ 0.004 052
1 + 0.004 052
1/2
= 4.607(10−5
) = 0.000 046
We can predict ¯ and ˆσ but not the distribution of .
2-13 σ = E
= (0.0005, 0.000 034) distribution unspecified; E = (29.5, 0.885) Mpsi, distribution
unspecified;
Cx = 0.000 034/0.0005 = 0.068,
Cy = 0.0885/29.5 = 0.030
σ is of the form x, y
Table 2-6
¯σ = ¯ ¯E = 0.0005(29.5)106
= 14 750 psi
ˆσσ = 14 750(0.0682
+ 0.0302
+ 0.0682
+ 0.0302
)1/2
= 1096.7 psi
Cσ = 1096.7/14 750 = 0.074 35
2-14
δ =
Fl
AE
F = (14.7, 1.3) kip, A = (0.226, 0.003)in2
, l = (1.5, 0.004) in, E = (29.5, 0.885) Mpsi dis-
tributions unspecified.
CF = 1.3/14.7 = 0.0884; CA = 0.003/0.226 = 0.0133; Cl = 0.004/1.5 = 0.00267;
CE = 0.885/29.5 = 0.03
Mean of δ:
δ =
Fl
AE
= Fl
1
A
1
E
shi20396_ch02.qxd 7/21/03 3:28 PM Page 17

From Table 2-6,
¯δ = ¯F ¯l(1/ ¯A)(1/ ¯E)
¯δ = 14 700(1.5)
1
0.226
1
29.5(106)
= 0.003 31 in Ans.
For the standard deviation, using the first-order terms in Table 2-6,
ˆσδ
.
=
¯F ¯l
¯A ¯E
C2
F + C2
l + C2
A + C2
E
1/2
= ¯δ C2
F + C2
l + C2
A + C2
E
1/2
ˆσδ = 0.003 31(0.08842
+ 0.002672
+ 0.01332
+ 0.032
)1/2
= 0.000 313 in Ans.
COV
Cδ = 0.000 313/0.003 31 = 0.0945 Ans.
Force COV dominates. There is no distributional information on δ.
2-15 M = (15000, 1350) lbf · in, distribution unspecified; d = (2.00, 0.005) in distribution
unspecified.
σ =
32M
πd3
, CM =
1350
15 000
= 0.09, Cd =
0.005
2.00
= 0.0025
σ is of the form x/y, Table 2-6.
Mean:
¯σ =
32 ¯M
πd3
.
=
32 ¯M
π ¯d3
=
32(15 000)
π(23)
= 19 099 psi Ans.
Standard Deviation:
ˆσσ = ¯σ C2
M + C2
d3 1 + C2
d3
1/2
From Table 2-6, Cd3
.
= 3Cd = 3(0.0025) = 0.0075
ˆσσ = ¯σ C2
M + (3Cd)2
(1 + (3Cd))2 1/2
= 19 099[(0.092
+ 0.00752
)/(1 + 0.00752
)]1/2
= 1725 psi Ans.
COV:
Cσ =
1725
19 099
= 0.0903 Ans.
Stress COV dominates. No information of distribution of σ.
shi20396_ch02.qxd 7/21/03 3:28 PM Page 18

Chapter 2 19
2-16
Fraction discarded is α + β. The area under the PDF was unity. Having discarded α + β
fraction, the ordinates to the truncated PDF are multiplied by a.
a =
1
1 − (α + β)
New PDF, g(x), is given by
g(x) =
f (x)/[1 − (α + β)] x1 ≤ x ≤ x2
0 otherwise
More formal proof: g(x) has the property
1 =
x2
x1
g(x) dx = a
x2
x1
f (x) dx
1 = a
∞
−∞
f (x) dx −
x1
0
f (x) dx −
∞
x2
f (x) dx
1 = a {1 − F(x1) − [1 − F(x2)]}
a =
1
F(x2) − F(x1)
=
1
(1 − β) − α
=
1
1 − (α + β)
2-17
(a) d = U[0.748, 0.751]
µd =
0.751 + 0.748
2
= 0.7495 in
ˆσd =
0.751 − 0.748
2
√
3
= 0.000 866 in
f (x) =
1
b − a
=
1
0.751 − 0.748
= 333.3 in−1
F(x) =
x − 0.748
0.751 − 0.748
= 333.3(x − 0.748)
x1
f(x)
x
x2
␣ ␤
shi20396_ch02.qxd 7/21/03 3:28 PM Page 19

(b) F(x1) = F(0.748) = 0
F(x2) = (0.750 − 0.748)333.3 = 0.6667
If g(x) is truncated, PDF becomes
g(x) =
f (x)
F(x2) − F(x1)
=
333.3
0.6667 − 0
= 500 in−1
µx =
a + b
2
=
0.748 + 0.750
2
= 0.749 in
ˆσx =
b − a
2
√
3
=
0.750 − 0.748
2
√
3
= 0.000 577 in
2-18 From Table A-10, 8.1% corresponds to z1 = −1.4 and 5.5% corresponds to z2 = +1.6.
k1 = µ + z1 ˆσ
k2 = µ + z2 ˆσ
From which
µ =
z2k1 − z1k2
z2 − z1
=
1.6(9) − (−1.4)11
1.6 − (−1.4)
= 9.933
ˆσ =
k2 − k1
z2 − z1
=
11 − 9
1.6 − (−1.4)
= 0.6667
The original density function is
f (k) =
1
0.6667
√
2π
exp −
1
2
k − 9.933
0.6667
2
Ans.
2-19 From Prob. 2-1, µ = 122.9 kcycles and ˆσ = 30.3 kcycles.
z10 =
x10 − µ
ˆσ
=
x10 − 122.9
30.3
x10 = 122.9 + 30.3z10
From Table A-10, for 10 percent failure, z10 = −1.282
x10 = 122.9 + 30.3(−1.282)
= 84.1 kcycles Ans.
0.748
g(x) ϭ 500
x
f(x) ϭ 333.3
0.749 0.750 0.751
shi20396_ch02.qxd 7/21/03 3:28 PM Page 20

Chapter 2 21
2-20
x f fx f x2
x f/(Nw) f(x)
60 2 120 7200 60 0.002899 0.000399
70 1 70 4900 70 0.001449 0.001206
80 3 240 19200 80 0.004348 0.003009
90 5 450 40500 90 0.007246 0.006204
100 8 800 80000 100 0.011594 0.010567
110 12 1320 145200 110 0.017391 0.014871
120 6 720 86400 120 0.008696 0.017292
130 10 1300 169000 130 0.014493 0.016612
140 8 1120 156800 140 0.011594 0.013185
150 5 750 112500 150 0.007246 0.008647
160 2 320 51200 160 0.002899 0.004685
170 3 510 86700 170 0.004348 0.002097
180 2 360 64800 180 0.002899 0.000776
190 1 190 36100 190 0.001449 0.000237
200 0 0 0 200 0 5.98E-05
210 1 210 44100 210 0.001449 1.25E-05
69 8480
¯x = 122.8986 sx = 22.88719
x f/(Nw) f(x) x f/(Nw) f(x)
55 0 0.000214 145 0.011594 0.010935
55 0.002899 0.000214 145 0.007246 0.010935
65 0.002899 0.000711 155 0.007246 0.006518
65 0.001449 0.000711 155 0.002899 0.006518
75 0.001449 0.001951 165 0.002899 0.00321
75 0.004348 0.001951 165 0.004348 0.00321
85 0.004348 0.004425 175 0.004348 0.001306
85 0.007246 0.004425 175 0.002899 0.001306
95 0.007246 0.008292 185 0.002899 0.000439
95 0.011594 0.008292 185 0.001449 0.000439
105 0.011594 0.012839 195 0.001449 0.000122
105 0.017391 0.012839 195 0 0.000122
115 0.017391 0.016423 205 0 2.8E-05
115 0.008696 0.016423 205 0.001499 2.8E-05
125 0.008696 0.017357 215 0.001499 5.31E-06
125 0.014493 0.017357 215 0 5.31E-06
135 0.014493 0.015157
135 0.011594 0.015157
shi20396_ch02.qxd 7/21/03 3:28 PM Page 21

2-21
x f fx f x2
f/(Nw) f (x)
174 6 1044 181656 0.003807 0.001642
182 9 1638 298116 0.005711 0.009485
190 44 8360 1588400 0.027919 0.027742
198 67 13266 2626668 0.042513 0.041068
206 53 10918 2249108 0.033629 0.030773
214 12 2568 549552 0.007614 0.011671
222 6 1332 295704 0.003807 0.002241
1386 197 39126 7789204
¯x = 198.6091 sx = 9.695071
x f/(Nw) f (x)
170 0 0.000529
170 0.003807 0.000529
178 0.003807 0.004297
178 0.005711 0.004297
186 0.005711 0.017663
186 0.027919 0.017663
194 0.027919 0.036752
194 0.042513 0.036752
202 0.042513 0.038708
202 0.033629 0.038708
210 0.033629 0.020635
210 0.007614 0.020635
218 0.007614 0.005568
218 0.003807 0.005568
226 0.003807 0.00076
226 0 0.00076
Data
PDF
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
0.04
0.045
150 170 190 210
x
230
f
Histogram
PDF
0
0.002
0.004
0.006
0.008
0.01
0.012
0.014
0.016
0.018
f
x
0.02
0 50 100 150 200 250
shi20396_ch02.qxd 7/21/03 3:28 PM Page 22

Chapter 2 23
2-22
x f fx f x2
f/(Nw) f(x)
64 2 128 8192 0.008621 0.00548
68 6 408 27744 0.025862 0.017299
72 6 432 31104 0.025862 0.037705
76 9 684 51984 0.038793 0.056742
80 19 1520 121600 0.081897 0.058959
84 10 840 70560 0.043103 0.042298
88 4 352 30976 0.017241 0.020952
92 2 184 16928 0.008621 0.007165
624 58 4548 359088
¯x = 78.41379 sx = 6.572229
x f/(Nw) f(x) x f/(Nw) f(x)
62 0 0.002684 82 0.081897 0.052305
62 0.008621 0.002684 82 0.043103 0.052305
66 0.008621 0.010197 86 0.043103 0.03118
66 0.025862 0.010197 86 0.017241 0.03118
70 0.025862 0.026749 90 0.017241 0.012833
70 0.025862 0.026749 90 0.008621 0.012833
74 0.025862 0.048446 94 0.008621 0.003647
74 0.038793 0.048446 94 0 0.003647
78 0.038793 0.060581
78 0.081897 0.060581
2-23
¯σ =
4 ¯P
πd2
=
4(40)
π(12)
= 50.93 kpsi
ˆσσ =
4 ˆσP
πd2
=
4(8.5)
π(12)
= 10.82 kpsi
ˆσsy
= 5.9 kpsi
Data
PDF
x0
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
0.09
60 70 80 90 100
f
shi20396_ch02.qxd 7/21/03 3:28 PM Page 23

For no yield, m = Sy − σ ≥ 0
z =
m − µm
ˆσm
=
0 − µm
ˆσm
= −
µm
ˆσm
µm = ¯Sy − ¯σ = 27.47 kpsi,
ˆσm = ˆσ2
σ + ˆσ2
Sy
1/2
= 12.32 kpsi
z =
−27.47
12.32
= −2.230
From Table A-10, pf = 0.0129
R = 1 − pf = 1 − 0.0129 = 0.987 Ans.
2-24 For a lognormal distribution,
Eq. (2-18) µy = ln µx − ln 1 + C2
x
Eq. (2-19) ˆσy = ln 1 + C2
x
From Prob. (2-23)
µm = ¯Sy − ¯σ = µx
µy = ln ¯Sy − ln 1 + C2
Sy
− ln ¯σ − ln 1 + C2
σ
= ln
¯Sy
¯σ
1 + C2
σ
1 + C2
Sy
ˆσy = ln 1 + C2
Sy
+ ln 1 + C2
σ
1/2
= ln 1 + C2
Sy
1 + C2
σ
z = −
µ
ˆσ
= −
ln
¯Sy
¯σ
1 + C2
σ
1 + C2
Sy
ln 1 + C2
Sy
1 + C2
σ
¯σ =
4 ¯P
πd2
=
4(30)
π(12)
= 38.197 kpsi
ˆσσ =
4 ˆσP
πd2
=
4(5.1)
π(12)
= 6.494 kpsi
Cσ =
6.494
38.197
= 0.1700
CSy
=
3.81
49.6
= 0.076 81
0
m
shi20396_ch02.qxd 7/21/03 3:28 PM Page 24

Chapter 2 25
z = −
ln

 49.6
38.197
1 + 0.1702
1 + 0.076 812


ln (1 + 0.076 812)(1 + 0.1702)
= −1.470
From Table A-10
pf = 0.0708
R = 1 − pf = 0.929 Ans.
2-25
(a) a = 1.000 ± 0.001 in
b = 2.000 ± 0.003 in
c = 3.000 ± 0.005 in
d = 6.020 ± 0.006 in
¯w = d − a − b − c = 6.020 − 1 − 2 − 3 = 0.020 in
tw = tall = 0.001 + 0.003 + 0.005 + 0.006
= 0.015 in
w = 0.020 ± 0.015 in Ans.
(b) ¯w = 0.020
ˆσw = ˆσ2
all =
0.001
√
3
2
+
0.003
√
3
2
+
0.005
√
3
2
+
0.006
√
3
2
= 0.004 86 → 0.005 in (uniform)
w = 0.020 ± 0.005 in Ans.
2-26
V + V = (a + a)(b + b)(c + c)
V + V = abc + bc a + ac b + ab c + small higher order terms
V
¯V
.
=
a
a
+
b
b
+
c
c
Ans.
¯V = ¯a ¯b¯c = 1.25(1.875)(2.75) = 6.4453 in3
V
¯V
=
0.001
1.250
+
0.002
1.875
+
0.003
2.750
= 0.00296
V =
V
¯V
¯V = 0.00296(6.4453) = 0.0191 in3
Lower range number:
¯V − V = 6.4453 − 0.0191 = 6.4262 in3
Ans.
Upper range number:
¯V + V = 6.4453 + 0.0191 = 6.4644 in3
Ans.
shi20396_ch02.qxd 7/21/03 3:28 PM Page 25

2-27
(a)
wmax = 0.014 in, wmin = 0.004 in
¯w = (0.014 + 0.004)/2 = 0.009 in
w = 0.009 ± 0.005 in
¯w = ¯x − ¯y = ¯a − ¯b − ¯c
0.009 = ¯a − 0.042 − 1.000
¯a = 1.051 in
tw = tall
0.005 = ta + 0.002 + 0.002
ta = 0.005 − 0.002 − 0.002 = 0.001 in
a = 1.051 ± 0.001 in Ans.
(b) ˆσw = ˆσ2
all = ˆσ2
a + ˆσ2
b + ˆσ2
c
ˆσ2
a = ˆσ2
w − ˆσ2
b − ˆσ2
c
=
0.005
√
3
2
−
0.002
√
3
2
−
0.002
√
3
2
ˆσ2
a = 5.667(10−6
)
ˆσa = 5.667(10−6) = 0.00238 in
¯a = 1.051 in, ˆσa = 0.00238 in Ans.
2-28 Choose 15 mm as basic size, D, d. Table 2-8: ﬁt is designated as 15H7/h6. From
Table A-11, the tolerance grades are D = 0.018 mm and d = 0.011 mm.
Hole: Eq. (2-38)
Dmax = D + D = 15 + 0.018 = 15.018 mm Ans.
Dmin = D = 15.000 mm Ans.
Shaft: From Table A-12, fundamental deviation δF = 0. From Eq. (2-39)
dmax = d + δF = 15.000 + 0 = 15.000 mm Ans.
dmin = d + δR − d = 15.000 + 0 − 0.011 = 14.989 mm Ans.
2-29 Choose 45 mm as basic size. Table 2-8 designates ﬁt as 45H7/s6. From Table A-11, the
tolerance grades are D = 0.025 mm and d = 0.016 mm
Hole: Eq. (2-38)
Dmax = D + D = 45.000 + 0.025 = 45.025 mm Ans.
a
c b
w
shi20396_ch02.qxd 7/21/03 3:28 PM Page 26

Chapter 2 27
Shaft: From Table A-12, fundamental deviation δF = +0.043 mm. From Eq. (2-40)
dmin = d + δF = 45.000 + 0.043 = 45.043 mm Ans.
dmax = d + δF + d = 45.000 + 0.043 + 0.016 = 45.059 mm Ans.
2-30 Choose 50 mm as basic size. From Table 2-8 ﬁt is 50H7/g6. From Table A-11, the tolerance
grades are D = 0.025 mm and d = 0.016 mm.
Hole:
Dmax = D + D = 50 + 0.025 = 50.025 mm Ans.
Shaft: From Table A-12 fundamental deviation = −0.009 mm
dmax = d + δF = 50.000 + (−0.009) = 49.991 mm Ans.
dmin = d + δF − d
= 50.000 + (−0.009) − 0.016
= 49.975 mm
2-31 Choose the basic size as 1.000 in. From Table 2-8, for 1.0 in, the ﬁt is H8/f7. From
Table A-13, the tolerance grades are D = 0.0013 in and d = 0.0008 in.
Hole:
Dmax = D + ( D)hole = 1.000 + 0.0013 = 1.0013 in Ans.
Dmin = D = 1.0000 in Ans.
Shaft: From Table A-14: Fundamental deviation = −0.0008 in
dmax = d + δF = 1.0000 + (−0.0008) = 0.9992 in Ans.
dmin = d + δF − d = 1.0000 + (−0.0008) − 0.0008 = 0.9984 in Ans.
Alternatively,
dmin = dmax − d = 0.9992 − 0.0008 = 0.9984 in. Ans.
2-32
Do = W + Di + W
¯Do = ¯W + ¯Di + ¯W
= 0.139 + 3.734 + 0.139 = 4.012 in
tDo
= tall = 0.004 + 0.028 + 0.004
= 0.036 in
Do = 4.012 ± 0.036 in Ans.
Do
WDiW
shi20396_ch02.qxd 7/21/03 3:28 PM Page 27

2-33
Do = Di + 2W
¯Do = ¯Di + 2 ¯W = 208.92 + 2(5.33)
= 219.58 mm
tDo
=
all
t = tDi
+ 2tw
= 1.30 + 2(0.13) = 1.56 mm
Do = 219.58 ± 1.56 mm Ans.
2-34
Do = Di + 2W
¯Do = ¯Di + 2 ¯W = 3.734 + 2(0.139)
= 4.012 mm
tDo
=
all
t2 = t2
Do
+ (2 tw)2 1/2
= [0.0282
+ (2)2
(0.004)2
]1/2
= 0.029 in
Do = 4.012 ± 0.029 in Ans.
2-35
Do = Di + 2W
¯Do = ¯Di + 2 ¯W = 208.92 + 2(5.33)
= 219.58 mm
tDo
=
all
t2 = [1.302
+ (2)2
(0.13)2
]1/2
= 1.33 mm
Do = 219.58 ± 1.33 mm Ans.
2-36
(a) w = F − W
¯w = ¯F − ¯W = 0.106 − 0.139
= −0.033 in
tw =
all
t = 0.003 + 0.004
tw = 0.007 in
wmax = ¯w + tw = −0.033 + 0.007 = −0.026 in
wmin = ¯w − tw = −0.033 − 0.007 = −0.040 in
The minimum “squeeze” is 0.026 in. Ans.
w
W
F
shi20396_ch02.qxd 7/21/03 3:28 PM Page 28

Chapter 2 29
(b)
Y = 3.992 ± 0.020 in
Do + w − Y = 0
w = Y − ¯Do
¯w = ¯Y − ¯Do = 3.992 − 4.012 = −0.020 in
tw =
all
t = tY + tDo
= 0.020 + 0.036 = 0.056 in
w = −0.020 ± 0.056 in
wmax = 0.036 in
wmin = −0.076 in
O-ring is more likely compressed than free prior to assembly of the
end plate.
2-37
(a) Figure deﬁnes w as gap.
The O-ring is “squeezed” at least 0.75 mm.
(b)
From the ﬁgure, the stochastic equation is:
Do + w = Y
or, w = Y − Do
¯w = ¯Y − ¯Do = 218.48 − 219.58 = −1.10 mm
tw =
all
t = tY + tDo
= 1.10 + 0.34 = 1.44 mm
wmax = ¯w + tw = −1.10 + 1.44 = 0.34 mm
wmin = ¯w − tw = −1.10 − 1.44 = −2.54 mm
The O-ring is more likely to be circumferentially compressed than free prior to as-
sembly of the end plate.
Ymax = ¯Do = 219.58 mm
Ymin = max[0.99 ¯Do, ¯Do − 1.52]
= max[0.99(219.58, 219.58 − 1.52)]
= 217.38 mm
Y = 218.48 ± 1.10 mm
Y
Do
w
w = F − W
¯w = ¯F − ¯W
= 4.32 − 5.33 = −1.01 mm
tw =
all
t = tF + tW = 0.13 + 0.13 = 0.26 mm
wmax = ¯w + tw = −1.01 + 0.26 = −0.75 mm
wmin = ¯w − tw = −1.01 − 0.26 = −1.27 mm
w
W
F
Ymax = ¯Do = 4.012 in
Ymin = max[0.99 ¯Do, ¯Do − 0.06]
= max[3.9719, 3.952] = 3.972 in
Y
Do
w
shi20396_ch02.qxd 8/6/03 11:07 AM Page 29

2-38
wmax = −0.020 in, wmin = −0.040 in
¯w =
1
2
(−0.020 + (−0.040)) = −0.030 in
tw =
1
2
(−0.020 − (−0.040)) = 0.010 in
b = 0.750 ± 0.001 in
c = 0.120 ± 0.005 in
d = 0.875 ± 0.001 in
¯w = ¯a − ¯b − ¯c − ¯d
−0.030 = ¯a − 0.875 − 0.120 − 0.750
¯a = 0.875 + 0.120 + 0.750 − 0.030
¯a = 1.715 in
Absolute:
tw =
all
t = 0.010 = ta + 0.001 + 0.005 + 0.001
ta = 0.010 − 0.001 − 0.005 − 0.001
= 0.003 in
a = 1.715 ± 0.003 in Ans.
Statistical: For a normal distribution of dimensions
t2
w =
all
t2
= t2
a + t2
b + t2
c + t2
d
ta = t2
w − t2
b − t2
c − t2
d
1/2
= (0.0102
− 0.0012
− 0.0052
− 0.0012
)1/2
= 0.0085
a = 1.715 ± 0.0085 in Ans.
2-39
x n nx nx2
93 19 1767 164 311
95 25 2375 225 625
97 38 3685 357 542
99 17 1683 166 617
101 12 1212 122 412
103 10 1030 106 090
105 5 525 55 125
107 4 428 45 796
109 4 436 47 524
111 2 222 24 624
136 13364 1315 704
¯x = 13 364/136 = 98.26 kpsi
sx =
1 315 704 − 13 3642
/136
135
1/2
= 4.30 kpsi
b c
w
d
a
shi20396_ch02.qxd 7/21/03 3:28 PM Page 30

Chapter 2 31
Under normal hypothesis,
z0.01 = (x0.01 − 98.26)/4.30
x0.01 = 98.26 + 4.30z0.01
= 98.26 + 4.30(−2.3267)
= 88.26
.
= 88.3 kpsi Ans.
2-40 From Prob. 2-39, µx = 98.26 kpsi, and ˆσx = 4.30 kpsi.
Cx = ˆσx/µx = 4.30/98.26 = 0.043 76
From Eqs. (2-18) and (2-19),
µy = ln(98.26) − 0.043 762
/2 = 4.587
ˆσy = ln(1 + 0.043 762) = 0.043 74
For a yield strength exceeded by 99% of the population,
z0.01 = (ln x0.01 − µy)/ˆσy ⇒ ln x0.01 = µy + ˆσyz0.01
From Table A-10, for 1% failure, z0.01 = −2.326. Thus,
ln x0.01 = 4.587 + 0.043 74(−2.326) = 4.485
x0.01 = 88.7 kpsi Ans.
The normal PDF is given by Eq. (2-14) as
f (x) =
1
4.30
√
2π
exp −
1
2
x − 98.26
4.30
2
For the lognormal distribution, from Eq. (2-17), deﬁning g(x),
g(x) =
1
x(0.043 74)
√
2π
exp −
1
2
ln x − 4.587
0.043 74
2
x (kpsi) f/(Nw) f (x) g(x) x (kpsi) f/(Nw) f (x) g(x)
92 0.00000 0.03215 0.03263 102 0.03676 0.06356 0.06134
92 0.06985 0.03215 0.03263 104 0.03676 0.03806 0.03708
94 0.06985 0.05680 0.05890 104 0.01838 0.03806 0.03708
94 0.09191 0.05680 0.05890 106 0.01838 0.01836 0.01869
96 0.09191 0.08081 0.08308 106 0.01471 0.01836 0.01869
96 0.13971 0.08081 0.08308 108 0.01471 0.00713 0.00793
98 0.13971 0.09261 0.09297 108 0.01471 0.00713 0.00793
98 0.06250 0.09261 0.09297 110 0.01471 0.00223 0.00286
100 0.06250 0.08548 0.08367 110 0.00735 0.00223 0.00286
100 0.04412 0.08548 0.08367 112 0.00735 0.00056 0.00089
102 0.04412 0.06356 0.06134 112 0.00000 0.00056 0.00089
Note: rows are repeated to draw histogram
shi20396_ch02.qxd 7/21/03 3:28 PM Page 31

The normal and lognormal are almost the same. However the data is quite skewed and
perhaps a Weibull distribution should be explored. For a method of establishing the
Weibull parameters see Shigley, J. E., and C. R. Mischke, Mechanical Engineering Design,
McGraw-Hill, 5th ed., 1989, Sec. 4-12.
2-41 Let x = (S fe)104
x0 = 79 kpsi, θ = 86.2 kpsi, b = 2.6
Eq. (2-28)
¯x = x0 + (θ − x0) (1 + 1/b)
¯x = 79 + (86.2 − 79) (1 + 1/2.6)
= 79 + 7.2 (1.38)
From Table A-34, (1.38) = 0.88854
¯x = 79 + 7.2(0.888 54) = 85.4 kpsi Ans.
Eq. (2-29)
ˆσx = (θ − x0)[ (1 + 2/b) − 2
(1 + 1/b)]1/2
= (86.2 − 79)[ (1 + 2/2.6) − 2
(1 + 1/2.6)]1/2
= 7.2[0.923 76 − 0.888 542
]1/2
= 2.64 kpsi Ans.
Cx =
ˆσx
¯x
=
2.64
85.4
= 0.031 Ans.
2-42
x = Sut
x0 = 27.7, θ = 46.2, b = 4.38
µx = 27.7 + (46.2 − 27.7) (1 + 1/4.38)
= 27.7 + 18.5 (1.23)
= 27.7 + 18.5(0.910 75)
= 44.55 kpsi Ans.
f(x)
g(x)
Histogram
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
0.16
90 92 94 96 98 100 102 104 106 108
x (kpsi)
Probabilitydensity
110 112
shi20396_ch02.qxd 7/21/03 3:28 PM Page 32

Chapter 2 33
ˆσx = (46.2 − 27.7)[ (1 + 2/4.38) − 2
(1 + 1/4.38)]1/2
= 18.5[ (1.46) − 2
(1.23)]1/2
= 18.5[0.8856 − 0.910 752
]1/2
= 4.38 kpsi Ans.
Cx =
4.38
44.55
= 0.098 Ans.
From the Weibull survival equation
R = exp −
x − x0
θ − x0
b
= 1 − p
R40 = exp −
x40 − x0
θ − x0
b
= 1 − p40
= exp −
40 − 27.7
46.2 − 27.7
4.38
= 0.846
p40 = 1 − R40 = 1 − 0.846 = 0.154 = 15.4% Ans.
2-43
x = Sut
x0 = 151.9, θ = 193.6, b = 8
µx = 151.9 + (193.6 − 151.9) (1 + 1/8)
= 151.9 + 41.7 (1.125)
= 151.9 + 41.7(0.941 76)
= 191.2 kpsi Ans.
ˆσx = (193.6 − 151.9)[ (1 + 2/8) − 2
(1 + 1/8)]1/2
= 41.7[ (1.25) − 2
(1.125)]1/2
= 41.7[0.906 40 − 0.941 762
]1/2
= 5.82 kpsi Ans.
Cx =
5.82
191.2
= 0.030
2-44
x = Sut
x0 = 47.6, θ = 125.6, b = 11.84
¯x = 47.6 + (125.6 − 47.6) (1 + 1/11.84)
¯x = 47.6 + 78 (1.08)
= 47.6 + 78(0.959 73) = 122.5 kpsi
ˆσx = (125.6 − 47.6)[ (1 + 2/11.84) − 2
(1 + 1/11.84)]1/2
= 78[ (1.08) − 2
(1.17)]1/2
= 78(0.959 73 − 0.936 702
)1/2
= 22.4 kpsi
shi20396_ch02.qxd 7/21/03 3:28 PM Page 33

From Prob. 2-42
p = 1 − exp −
x − x0
θ − θ0
b
= 1 − exp −
100 − 47.6
125.6 − 47.6
11.84
= 0.0090 Ans.
y = Sy
y0 = 64.1, θ = 81.0, b = 3.77
¯y = 64.1 + (81.0 − 64.1) (1 + 1/3.77)
= 64.1 + 16.9 (1.27)
= 64.1 + 16.9(0.902 50)
= 79.35 kpsi
σy = (81 − 64.1)[ (1 + 2/3.77) − (1 + 1/3.77)]1/2
σy = 16.9[(0.887 57) − 0.902 502
]1/2
= 4.57 kpsi
p = 1 − exp −
y − y0
θ − y0
3.77
p = 1 − exp −
70 − 64.1
81 − 64.1
3.77
= 0.019 Ans.
2-45 x = Sut = W[122.3, 134.6, 3.64] kpsi, p(x > 120) = 1 = 100% since x0 > 120 kpsi
p(x > 133) = exp −
133 − 122.3
134.6 − 122.3
3.64
= 0.548 = 54.8% Ans.
2-46 Using Eqs. (2-28) and (2-29) and Table A-34,
µn = n0 + (θ − n0) (1 + 1/b) = 36.9 + (133.6 − 36.9) (1 + 1/2.66) = 122.85 kcycles
ˆσn = (θ − n0)[ (1 + 2/b) − 2
(1 + 1/b)] = 34.79 kcycles
For the Weibull density function, Eq. (2-27),
fW (n) =
2.66
133.6 − 36.9
n − 36.9
133.6 − 36.9
2.66−1
exp −
n − 36.9
133.6 − 36.9
2.66
For the lognormal distribution, Eqs. (2-18) and (2-19) give,
µy = ln(122.85) − (34.79/122.85)2
/2 = 4.771
ˆσy = [1 + (34.79/122.85)2] = 0.2778
shi20396_ch02.qxd 7/21/03 3:28 PM Page 34

Chapter 2 35
From Eq. (2-17), the lognormal PDF is
fLN (n) =
1
0.2778 n
√
2π
exp −
1
2
ln n − 4.771
0.2778
2
We form a table of densities fW (n) and fLN (n) and plot.
n(kcycles) fW (n) fLN (n)
40 9.1E-05 1.82E-05
50 0.000991 0.000241
60 0.002498 0.001233
70 0.004380 0.003501
80 0.006401 0.006739
90 0.008301 0.009913
100 0.009822 0.012022
110 0.010750 0.012644
120 0.010965 0.011947
130 0.010459 0.010399
140 0.009346 0.008492
150 0.007827 0.006597
160 0.006139 0.004926
170 0.004507 0.003564
180 0.003092 0.002515
190 0.001979 0.001739
200 0.001180 0.001184
210 0.000654 0.000795
220 0.000336 0.000529
The Weibull L10 life comes from Eq. (2-26) with a reliability of R = 0.90. Thus,
n0.10 = 36.9 + (133 − 36.9)[ln(1/0.90)]1/2.66
= 78.1 kcycles Ans.
f(n)
n, kcycles
0
0.004
0.002
0.006
0.008
0.010
0.012
0.014
0 10050 150 200
LN
W
250
shi20396_ch02.qxd 7/21/03 3:28 PM Page 35

The lognormal L10 life comes from the deﬁnition of the z variable. That is,
ln n0 = µy + ˆσyz or n0 = exp(µy + ˆσyz)
From Table A-10, for R = 0.90, z = −1.282. Thus,
n0 = exp[4.771 + 0.2778(−1.282)] = 82.7 kcycles Ans.
2-47 Form a table
x g(x)
i L(10−5
) fi fi x(10−5
) fi x2
(10−10
) (105
)
1 3.05 3 9.15 27.9075 0.0557
2 3.55 7 24.85 88.2175 0.1474
3 4.05 11 44.55 180.4275 0.2514
4 4.55 16 72.80 331.24 0.3168
5 5.05 21 106.05 535.5525 0.3216
6 5.55 13 72.15 400.4325 0.2789
7 6.05 13 78.65 475.8325 0.2151
8 6.55 6 39.30 257.415 0.1517
9 7.05 2 14.10 99.405 0.1000
10 7.55 0 0 0 0.0625
11 8.05 4 32.20 259.21 0.0375
12 8.55 3 25.65 219.3075 0.0218
13 9.05 0 0 0 0.0124
14 9.55 0 0 0 0.0069
15 10.05 1 10.05 101.0025 0.0038
100 529.50 2975.95
¯x = 529.5(105
)/100 = 5.295(105
) cycles Ans.
sx =
2975.95(1010
) − [529.5(105
)]2
/100
100 − 1
1/2
= 1.319(105
) cycles Ans.
Cx = s/¯x = 1.319/5.295 = 0.249
µy = ln 5.295(105
) − 0.2492
/2 = 13.149
ˆσy = ln(1 + 0.2492) = 0.245
g(x) =
1
x ˆσy
√
2π
exp −
1
2
ln x − µy
ˆσy
2
g(x) =
1.628
x
exp −
1
2
ln x − 13.149
0.245
2
shi20396_ch02.qxd 7/21/03 3:28 PM Page 36

Chapter 2 37
2-48
x = Su = W[70.3, 84.4, 2.01]
Eq. (2-28) µx = 70.3 + (84.4 − 70.3) (1 + 1/2.01)
= 70.3 + (84.4 − 70.3) (1.498)
= 70.3 + (84.4 − 70.3)0.886 17
= 82.8 kpsi Ans.
Eq. (2-29) ˆσx = (84.4 − 70.3)[ (1 + 2/2.01) − 2
(1 + 1/2.01)]1/2
ˆσx = 14.1[0.997 91 − 0.886 172
]1/2
= 6.502 kpsi
Cx =
6.502
82.8
= 0.079 Ans.
2-49 Take the Weibull equation for the standard deviation
ˆσx = (θ − x0)[ (1 + 2/b) − 2
(1 + 1/b)]1/2
and the mean equation solved for ¯x − x0
¯x − x0 = (θ − x0) (1 + 1/b)
Dividing the ﬁrst by the second,
ˆσx
¯x − x0
=
[ (1 + 2/b) − 2
(1 + 1/b)]1/2
(1 + 1/b)
4.2
49 − 33.8
=
(1 + 2/b)
2(1 + 1/b)
− 1 =
√
R = 0.2763
0
0.1
0.2
0.3
0.4
0.5
105
g(x)
x, cycles
Superposed
histogram
and PDF
3.05(105
) 10.05(105
)
shi20396_ch02.qxd 7/21/03 3:28 PM Page 37

Make a table and solve for b iteratively
b
.
= 4.068 Using MathCad Ans.
θ = x0 +
¯x − x0
(1 + 1/b)
= 33.8 +
49 − 33.8
(1 + 1/4.068)
= 49.8 kpsi Ans.
2-50
x = Sy = W[34.7, 39, 2.93] kpsi
¯x = 34.7 + (39 − 34.7) (1 + 1/2.93)
= 34.7 + 4.3 (1.34)
= 34.7 + 4.3(0.892 22) = 38.5 kpsi
ˆσx = (39 − 34.7)[ (1 + 2/2.93) − 2
(1 + 1/2.93)]1/2
= 4.3[ (1.68) − 2
(1.34)]1/2
= 4.3[0.905 00 − 0.892 222
]1/2
= 1.42 kpsi Ans.
Cx = 1.42/38.5 = 0.037 Ans.
2-51
x (Mrev) f f x f x2
1 11 11 11
2 22 44 88
3 38 114 342
4 57 228 912
5 31 155 775
6 19 114 684
7 15 105 735
8 12 96 768
9 11 99 891
10 9 90 900
11 7 77 847
12 5 60 720
Sum 78 237 1193 7673
µx = 1193(106
)/237 = 5.034(106
) cycles
ˆσx =
7673(1012) − [1193(106)]2/237
237 − 1
= 2.658(106
) cycles
Cx = 2.658/5.034 = 0.528
b 1 + 2/b 1 + 1/b (1 + 2/b) (1 + 1/b)
3 1.67 1.33 0.90330 0.89338 0.363
4 1.5 1.25 0.88623 0.90640 0.280
4.1 1.49 1.24 0.88595 0.90852 0.271
shi20396_ch02.qxd 7/21/03 3:28 PM Page 38

Chapter 2 39
From Eqs. (2-18) and (2-19),
µy = ln[5.034(106
)] − 0.5282
/2 = 15.292
ˆσy = ln(1 + 0.5282) = 0.496
From Eq. (2-17), deﬁning g(x),
g (x) =
1
x(0.496)
√
2π
exp −
1
2
ln x − 15.292
0.496
2
x(Mrev) f/(Nw) g(x) · (106
)
0.5 0.00000 0.00011
0.5 0.04641 0.00011
1.5 0.04641 0.05204
1.5 0.09283 0.05204
2.5 0.09283 0.16992
2.5 0.16034 0.16992
3.5 0.16034 0.20754
3.5 0.24051 0.20754
4.5 0.24051 0.17848
4.5 0.13080 0.17848
5.5 0.13080 0.13158
5.5 0.08017 0.13158
6.5 0.08017 0.09011
6.5 0.06329 0.09011
7.5 0.06329 0.05953
7.5 0.05063 0.05953
8.5 0.05063 0.03869
8.5 0.04641 0.03869
9.5 0.04641 0.02501
9.5 0.03797 0.02501
10.5 0.03797 0.01618
10.5 0.02954 0.01618
11.5 0.02954 0.01051
11.5 0.02110 0.01051
12.5 0.02110 0.00687
12.5 0.00000 0.00687
z =
ln x − µy
ˆσy
⇒ ln x = µy + ˆσyz = 15.292 + 0.496z
L10 life, where 10% of bearings fail, from Table A-10, z = −1.282. Thus,
ln x = 15.292 + 0.496(−1.282) = 14.66
∴ x = 2.32 × 106
rev Ans.
Histogram
PDF
x, Mrev
g(x)(106
)
0
0.05
0.1
0.15
0.2
0.25
0 2 4 6 8 10 12
shi20396_ch02.qxd 7/21/03 3:28 PM Page 39

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