perhitungan laporan praktikum hidro usu
DESCRIPTION
Ini adalah form perhitungan excel untuk tugas laporan praktikum hidrolika di USU. Semoga dengan Form ini, anda merasa lebih rilex dalam bagian perhitungan pada penyusunan Laporan Hidrolika di Universitas Sumatera UtaraTRANSCRIPT
volume waktu H (Y) QNo. (liter) (Detik) (mm) cm^3/det H^3/2 Cd
1 3 16 22 187.5 3.263127 0.6486162 3 13 26 230.769230769 4.192374 0.6213533 3 8 30 375 5.196152 0.8146484 3 7 34 428.571428571 6.26929 0.7716595 3 5 38 600 7.407564 0.914316
15030 Cd rerata 0.754118
Σ(X-x)(Y-y) = 383.912 Nilai regresi (y) untuk hubungan Q^2/3 dan HΣ(X-x)^2 = 948.0631 X yB = 0.404944 32.75927 22.98885A = y - B(x) 9.7232 37.62287 24.95834Persamaan regresi adalah = y = 9,723 + 0,404x 52.0021 30.78111
56.84367 32.74168484 71.13787 38.53002676900
1156 Nilai regresi (y) untuk hubungan Cd dan H1444 X y4660 0.648616 25.07321
0.621353 23.800060.814648 32.826630.771659 30.819110.914316 37.48098
X y0.342423 2.2511430.414973 2.4073890.477121 2.5412310.531479 2.6582960.579784 2.762325
X y'187.5 23.35463
230.7692 24.98036375 30.39947
428.5714 32.41228600 38.85327
XQ^2/3 log Q log H (X-x) (Y-y) (X-x)^2 (X-x)*(Y-y)
32.75927 2.273001 0.342423 -17.31 -8 299.7707 138.5110999737.62287 2.363178 0.414973 -12.45 -4 155.009567 49.801135187
52.0021 2.574031 0.477121 1.9289 0 3.72081204 056.84367 2.632023 0.531479 6.7705 4 45.839934 27.08207789971.13787 2.778151 0.579784 21.065 8 443.722057 168.51768933
50.07315Nilai regresi (y) untuk hubungan Q^2/3 dan H Hubungan antara Cd dan H
No. X Y (X-x) (Y-y) (X-x)^2 (X-x)*(Y-y)1 0.648616 22 -0.106 -8 0.0111307199 0.844017812 0.621353 26 -0.133 -4 0.0176266497 0.531061573 0.814648 30 0.061 0 0.0036638117 04 0.771659 34 0.018 4 0.0003076685 0.070161925 0.914316 38 0.16 8 0.0256633066 1.28158169
rerata = 0.754118 30
Nilai regresi (y) untuk hubungan Cd dan H Σ(X-x)(Y-y) = 2.727Σ(X-x)^2 = 0.058B = 46.7A = y - B(x) -5.216Persamaan regresi untuk hubungan Cd dan H adalahy = -5,22 + 46,7x
Hubungan antara Log H dan Log QNo. X Y (X-x) (Y-y) (X-x)^2 (X-x)*(Y-y)
1 0.342423 2.273 -0.127 -0.2510757 0.0160613239 0.031819652 0.414973 2.3632 -0.054 -0.1608991 0.0029357554 0.008717933 0.477121 2.574 0.008 0.04995429 6.344593E-05 0.00039794 0.531479 2.632 0.062 0.10794623 0.003884151 0.006727535 0.579784 2.7782 0.111 0.25407427 0.0122384741 0.02810764
rerata = 0.469156 2.5241
Σ(X-x)(Y-y) = 0.076Σ(X-x)^2 = 0.035B = 2.154A = y - B(x) 1.514Persamaan regresi untuk hubungan Cd dan H adalahy = 1,51 + 2,15x
Hubungan antara H dan QNo. X Y (X-x) (Y-y) (X-x)^2 (X-x)*(Y-y)
1 187.5 22 -177 -8 31282.336071 1414.945052 230.7692 26 -134 -4 17848.666375 534.3956043 375 30 10.63 0 113.03661997 04 428.5714 34 64.2 4 4122.0633076 256.813187
5 600 38 235.6 8 55522.377279 1885.05495rerata = 364.3681 30
Σ(X-x)(Y-y) = 4091.20879Σ(X-x)^2 = 108888.48B = 0.03757247A = y - B(x) 16.3097904Persamaan regresi untuk hubungan Q dan H adalahy' = 16,31 + 0,037(X)
volume waktu H (Y) QNo. (liter) (Detik) (mm) cm^3/det H^(5/2) Cd
1 3 54 18 55.56 4.347 0.5412 3 31 21 96.77 6.391 0.6413 3 18 24 166.67 8.923 0.7914 3 16 27 187.50 11.979 0.6635 3 13 30 230.77 15.588 0.627
24 147.453129308 Cd rerata 0.652375Σ(X-x)(Y-y) = 173.4215 Nilai regresi (y) untuk hubungan Q^2/3 dan HΣ(X-x)^2 = 346.2929 X yB = 0.500794 14.55967 151.1612A = y - B(x) 10.34778 21.08 218.6166Persamaan regresi adalah = y = 10,34(X) + 0,500 30.29 313.887
32.76 339.48661374.6155826 37.62 389.8142
Nilai regresi (y) untuk hubungan Cd dan HX y
0.541001 24.535520.641 25.770970.791 27.619340.663 26.037570.627 25.59363
X y0.255273 3.071401
0.322 3.1432770.380 3.2055390.431 3.2604580.477 3.309585
X y55.55556 -2768.592
96.77 -4823.08166.67 -8306.777187.50 -9345.186230.77 -11501.88
XQ^(2/3) log Q log H (X-x) (Y-y) (X-x)^2 (X-x)*(Y-y)
14.56 1.74 0.255 -12.7 -6 161.327007 76.20874124221.08 1.99 0.322 -6.183 -3 38.2249265 18.54789311230.29 2.22 0.380 3.0242 0 9.14585779 032.76 2.27 0.431 5.4981 3 30.229501 16.49440842537.62 2.36 0.477 10.362 6 107.365653 62.170439047
346.292945 173.4214818327.26113
Nilai regresi (y) untuk hubungan Q^2/3 dan H Hubungan antara Cd dan HNo. X Y (X-x) (Y-y) (X-x)^2 (X-x)*(Y-y)
1 0.541001 18 -0.111 -6 0.0124042777 0.6682472 0.641 21 -0.011 -3 0.00012923 0.0341043 0.791 24 0.138 0 0.0191138915 04 0.663 27 0.01 3 0.000104299 0.0306385 0.627 30 -0.026 6 0.000661686 -0.15434
rerata = 0.652375 24
Nilai regresi (y) untuk hubungan Cd dan H Σ(X-x)(Y-y) = 0.579Σ(X-x)^2 = 0.032B = 17.85A = y - B(x) 12.35Persamaan regresi untuk hubungan Cd dan H adalahy = 12,4(X) + 17,9
Hubungan antara Log H dan Log QNo. X Y (X-x) (Y-y) (X-x)^2 (X-x)*(Y-y)
1 0.255273 1.7447 -0.118 -0.3729755 0.0139157665 0.0439982 0.322 1.99 -0.051 -0.1319434 0.0026028687 0.0067323 0.380 2.22 0.007 0.10414575 4.863151E-05 0.0007264 0.431 2.27 0.058 0.15529828 0.0033786496 0.0090275 0.477 2.36 0.104 0.24547491 0.0107918112 0.025501
rerata = 0.373238 2.1177
Σ(X-x)(Y-y) = 0.086Σ(X-x)^2 = 0.031B = 2.797A = y - B(x) 1.074Persamaan regresi untuk hubungan Log Q dan Log H adalahy = 1,07(X) + 2,8
Hubungan antara H dan QNo. X Y (X-x) (Y-y) (X-x)^2 (X-x)*(Y-y)
1 55.55556 18 -91.9 -6 161.32700671 76.208742 96.77 21 -50.68 -3 38.224926542 18.547893 166.67 24 19.21 0 9.1458577854 04 187.50 27 40.05 3 30.229501033 16.494415 230.77 30 83.32 6 107.36565253 62.17044
Σ(X-x)(Y-y) = 173.421482
0.500 0.550 0.600 0.650 0.700 0.750 0.800 0.8500
5
10
15
20
25
30
35
1; 182; 21
3; 244; 27
5; 30
Hubungan Antara Cd dan H
Kurva HubunganSetalah Regresi
Cd
H
Σ(X-x)^2 = 346.292945B = 0.50079415A = y - B(x) -49.843665
0.500 0.550 0.600 0.650 0.700 0.750 0.800 0.8500
5
10
15
20
25
30
35
1; 182; 21
3; 244; 27
5; 30
Hubungan Antara Cd dan H
Kurva HubunganSetalah Regresi
Cd
H
30 35 40 45 50 55 60 65 70 750
5
10
15
20
25
30
35
40
45
32.7592674, 22
37.6228711, 2652.0020955, 30
4; 3471.1378660, 38
kurvaSetelah Regresi
Q2/3
H
0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.950
5
10
15
20
25
30
35
40
32.7592674, 22
37.6228711, 2652.0020955, 30
0.77165885, 3471.1378660, 38
kurvaSetelah Regresi
Cd
H
0.3 0.35 0.4 0.45 0.5 0.55 0.60
0.5
1
1.5
2
2.5
3
0.342422, 2.2730.4149, 2.3631
0.4771, 2.57400.53147, 2.63200.5797, 2.778
kurvaSetelah Regresi
Log H
Log
Q
150200
250300
350400
450500
550600
65005
1015202530354045
1; 222; 26
3; 304; 34
5; 38
Kurva HubunganLinear (Kurva Hubungan)setelah regresi
Q
H
0.6 0.65 0.7 0.75 0.8 0.85 0.9 0.950
5
10
15
20
25
30
35
40
32.7592674, 22
37.6228711, 2652.0020955, 30
0.77165885, 3471.1378660, 38
kurvaSetelah Regresi
Cd
H
0.3 0.35 0.4 0.45 0.5 0.55 0.60
0.5
1
1.5
2
2.5
3
0.342422, 2.2730.4149, 2.3631
0.4771, 2.57400.53147, 2.63200.5797, 2.778
kurvaSetelah Regresi
Log H
Log
Q
0.00 50.00 100.00 150.00 200.00 250.000
5
10
15
20
25
30
35
55.55, 1896.774, 21 166.66, 24
4; 27230.769, 30
Kurva HubunganLinear (Kurva Hubungan)
Q
H
16 18 20 22 24 26 28 30 320.000
0.100
0.200
0.300
0.400
0.500
0.600
0.700
0.800
0.900
18, 0.5410
21, 0.6410
24, 0.790
27, 0.66251
30, 0.6266
Kurva Hubungan
H
Cd
0.200 0.250 0.300 0.350 0.400 0.450 0.5000.00
0.50
1.00
1.50
2.00
2.50
0.255, 1.744
0.3222, 1.985750.3802, 2.2218 0.4313, 2.273
0.4771, 2.3631
Kurva Hubungan
Log H
Log
Q
0.00 50.00 100.00 150.00 200.00 250.000
5
10
15
20
25
30
35
55.55, 1896.774, 21 166.66, 24
4; 27230.769, 30
Kurva HubunganLinear (Kurva Hubungan)
Q
H
0.200 0.250 0.300 0.350 0.400 0.450 0.5000.00
0.50
1.00
1.50
2.00
2.50
0.255, 1.744
0.3222, 1.985750.3802, 2.2218 0.4313, 2.273
0.4771, 2.3631
Kurva Hubungan
Log H
Log
Q
Q No. H Q H^(3/2) Log H Q^(2/3) Log Q(mm^3)/s (mm) (liter/detik) (mm) (liter/detik)
6.8.E+05 1 25 0.679 125 1.398 0.772 5.8327.5.E+05 2 30 0.750 164.317 1.477 0.826 5.8758.8.E+05 3 35 0.876 207.063 1.544 0.916 5.9439.6.E+05 4 40 0.960 252.982 1.602 0.973 5.9821.0.E+06 5 45 1.037 301.869 1.653 1.024 6.016
sigma Cd =Cd rerata =
3 x Q
Lebar Weir : 76 mm
No. Q H xy x^2(x) (y)
1 6.8.E+05 25 1.7.E+07 4.6.E+112 7.5.E+05 30 2.3.E+07 5.6.E+113 8.8.E+05 35 3.1.E+07 7.7.E+114 9.6.E+05 40 3.8.E+07 9.2.E+115 1.0.E+06 45 4.7.E+07 1.1.E+12
Σ = 4.3.E+06 175 1.6.E+08 3.8.E+12
A = = 5.4.E-05
B = Σy - AΣx = -11.11n
Y' = Ax+B Y' = 5.4.E-05 x + -11.11
Setelah Regesi
x y'(Q)
6.8.E+05 25.277.5.E+05 29.108.8.E+05 35.859.6.E+05 40.331.0.E+06 44.45
No. Cd H xy x^2(x) (y)
1 0.77 25 19.13 0.592 0.64 30 19.31 0.41
Q = 0,16√h
Cd = 2 x B x √(2.g) x H^(3/2)
nΣxy - ΣxΣy n(Σx^2) - (Σx)^2
3 0.60 35 20.87 0.364 0.53 40 21.39 0.295 0.48 45 21.78 0.23
Σ = 3.02 175.00 102.48 1.88
A = = -71.70
B = Σy - AΣx = 78.36n
Y' = Ax+B Y' = -71.70 x + 78.36
Setelah Regesi
x y'(Cd)
0.765 23.500.644 32.220.596 35.600.535 40.020.484 43.66
No. Q Cd xy x^2(x) (y)
1 6.8.E+05 0.765 5.2.E+05 4.6.E+112 7.5.E+05 0.644 4.8.E+05 5.6.E+113 8.8.E+05 0.596 5.2.E+05 7.7.E+114 9.6.E+05 0.535 5.1.E+05 9.2.E+115 1.0.E+06 0.484 5.0.E+05 1.1.E+12
Σ = 4.3.E+06 3.02 2.5.E+06 3.8.E+12
A = = -7.2.E-07
B = Σy - AΣx = 1.22n
Y' = Ax+B Y' = -7.2.E-07 x + 1.22
Setelah Regesi
x y'(Q)
nΣxy - ΣxΣy n(Σx^2) - (Σx)^2
nΣxy - ΣxΣy n(Σx^2) - (Σx)^2
6.8.E+05 0.737.5.E+05 0.688.8.E+05 0.599.6.E+05 0.531.0.E+06 0.48
No. Log H Log Q xy x^2(x) (y)
1 1.398 5.832 8.152 1.9542 1.477 5.875 8.679 2.1823 1.544 5.943 9.176 2.3844 1.602 5.982 9.584 2.5675 1.653 6.016 9.945 2.733
Σ = 7.674 29.648 45.536 11.820
A = = 7.47.E-01
B = Σy - AΣx = 4.78n
Y' = Ax+B Y' = 7.47.E-01 x + 4.78
Setelah Regesi
x y'(Q)
1.398 5.8271.477 5.8861.544 5.9361.602 5.9801.653 6.018
nΣxy - ΣxΣy n(Σx^2) - (Σx)^2
Cdh
(mm)0.765 180.644 220.596 300.535 360.484 423.0240.605
0.45 0.50 0.55 0.60 0.65 0.70 0.75 0.800
5
10
15
20
25
30
35
40
45
50
1; 23.50
2; 32.22
3; 35.60
4; 40.02
5; 43.66
Grafik HubunganSetalah Regersi
H
Cd
6.0.E+05 8.0.E+05 1.0.E+06 1.2.E+060.000
0.100
0.200
0.300
0.400
0.500
0.600
0.700
0.800
0.900
1; 0.73
2; 0.68
3; 0.59
4; 0.53
5; 0.48
Grafik HubunganSetalah Regresi
Q
Cd
1.350 1.400 1.450 1.500 1.550 1.600 1.650 1.7005.700
5.750
5.800
5.850
5.900
5.950
6.000
6.050
1; 5.832
2; 5.875
3; 5.943
4; 5.9825; 6.016
Hubungan antar Log H dan Log Q
Grafik HubunganSetalah Regresi
Log H
Log Q
6.0.E+05 8.0.E+05 1.0.E+06 1.2.E+060.000
0.100
0.200
0.300
0.400
0.500
0.600
0.700
0.800
0.900
1; 0.73
2; 0.68
3; 0.59
4; 0.53
5; 0.48
Grafik HubunganSetalah Regresi
Q
Cd
1.350 1.400 1.450 1.500 1.550 1.600 1.650 1.7005.700
5.750
5.800
5.850
5.900
5.950
6.000
6.050
1; 5.832
2; 5.875
3; 5.943
4; 5.9825; 6.016
Hubungan antar Log H dan Log Q
Grafik HubunganSetalah Regresi
Log H
Log Q
6.0.E+05 7.0.E+05 8.0.E+05 9.0.E+05 1.0.E+06 1.1.E+060
5
10
15
20
25
30
35
40
45
50
1; 25
2; 30
3; 35
4; 40
5; 45
Grafik HubunganSetelah Regresi
Hubungan Antara H dan Q
H
Q
6.0.E+05 7.0.E+05 8.0.E+05 9.0.E+05 1.0.E+06 1.1.E+060
5
10
15
20
25
30
35
40
45
50
1; 25
2; 30
3; 35
4; 40
5; 45
Grafik HubunganSetelah Regresi
Hubungan Antara H dan Q
H
Q
1.350 1.400 1.450 1.500 1.550 1.600 1.650 1.7005.700
5.750
5.800
5.850
5.900
5.950
6.000
6.050
1; 5.832
2; 5.875
3; 5.943
4; 5.9825; 6.016
Hubungan antar Log H dan Log Q
Grafik HubunganSetalah Regresi
Log H
Log Q
1.350 1.400 1.450 1.500 1.550 1.600 1.650 1.7005.700
5.750
5.800
5.850
5.900
5.950
6.000
6.050
1; 5.832
2; 5.875
3; 5.943
4; 5.9825; 6.016
Hubungan antar Log H dan Log Q
Grafik HubunganSetalah Regresi
Log H
Log Q
Q No. dc du H Q H^(3/2) Log H(mm^3)/s (mm) (mm) (mm) (L/det)
6.4.E+05 1 12 125 25 0.64 125 1.3987.8.E+05 2 16 130 30 0.784 164.32 1.4779.1.E+05 3 18 135 35 0.905 207.06 1.5441.0.E+06 4 20 140 40 1.012 252.98 1.6021.1.E+06 5 23 145 45 1.061 301.87 1.653
Q
Lebar Weir (B) : 76 mm
No. Q H xy x^2(x) (y)
1 6.4.E+05 25 1.6.E+07 4.1.E+112 7.8.E+05 30 2.4.E+07 6.1.E+113 9.1.E+05 35 3.2.E+07 8.2.E+114 1.0.E+06 40 4.0.E+07 1.0.E+125 1.1.E+06 45 4.8.E+07 1.1.E+12
Σ = 4.4.E+06 175 1.6.E+08 4.0.E+12
A = = 4.5.E-05
B = Σy - AΣx = -5.03n
Y' = Ax+B Y' = 4.5.E-05 x + -5.03
Setelah Regesi
x y'(Q)
6.4.E+05 24.077.8.E+05 30.619.1.E+05 36.121.0.E+06 40.981.1.E+06 43.22
No. Cd H xy x^2(x) (y)
1 1.2.E+06 25 3.1.E+07 1.6.E+122 1.2.E+06 30 3.5.E+07 1.4.E+123 1.1.E+06 35 3.7.E+07 1.1.E+124 9.8.E+05 40 3.9.E+07 9.5.E+11
Q = 0,16√h
Cd = B x 53,91 x H^(3/2)
Tinggi bendung (p) = 100 mm
nΣxy - ΣxΣy n(Σx^2) - (Σx)^2
5 8.6.E+05 45 3.9.E+07 7.4.E+11Σ = 5.3.E+06 175.00 1.8.E+08 5.7.E+12
A = = -5.1.E-05
B = Σy - AΣx = 89.56n
Y' = Ax+B Y' = -5.1.E-05 x + 89.56
Setelah Regesi
x y'(Cd)1.2.E+06 25.421.2.E+06 29.801.1.E+06 34.809.8.E+05 39.458.6.E+05 45.52
No. Q Cd xy x^2(x) (y)
1 6.4.E+05 1.2.E+06 8.0.E+11 4.1.E+112 7.8.E+05 1.2.E+06 9.1.E+11 6.1.E+113 9.1.E+05 1.1.E+06 9.7.E+11 8.2.E+114 1.0.E+06 9.8.E+05 9.9.E+11 1.0.E+125 1.1.E+06 8.6.E+05 9.1.E+11 1.1.E+12
Σ = 4.4.E+06 5.3.E+06 4.6.E+12 4.0.E+12
A = = -0.87
B = Σy - AΣx = 1.8.E+06n
Y' = Ax+B Y' = -0.87 x + 1.8.E+06
Setelah Regesi
x y'(Q)
6.4.E+05 1.3.E+067.8.E+05 1.1.E+069.1.E+05 1.0.E+061.0.E+06 9.5.E+051.1.E+06 9.0.E+05
nΣxy - ΣxΣy n(Σx^2) - (Σx)^2
nΣxy - ΣxΣy n(Σx^2) - (Σx)^2
No. Log H Log Q xy x^2(x) (y)
1 1.398 6.4.E+05 8.9.E+05 1.9542 1.477 7.8.E+05 1.2.E+06 2.1823 1.544 9.1.E+05 1.4.E+06 2.3844 1.602 1.0.E+06 1.6.E+06 2.5675 1.653 1.1.E+06 1.8.E+06 2.733
Σ = 7.674 4.4.E+06 6.8.E+06 11.820
A = = 1.70.E+06
B = Σy - AΣx = -1.7.E+06n
Y' = Ax+B Y' = 1.70.E+06 x + -1.7.E+06
Setelah Regesi
x y'(Q)
1.398 6.5.E+051.477 7.8.E+051.544 9.0.E+051.602 9.9.E+051.653 1.1.E+06
nΣxy - ΣxΣy n(Σx^2) - (Σx)^2
Log Q h Cd
5.806 16 1.2.E+065.894 24 1.2.E+065.957 32 1.1.E+066.005 40 9.8.E+056.026 44 8.6.E+05
5.3.E+06Cd rerata = 1.8.E+06
6.0.E+05 7.0.E+05 8.0.E+05 9.0.E+05 1.0.E+06 1.1.E+0605
101520253035404550
1; 252; 30
3; 354; 40
5; 45
Hubungan antara H dan Q
Grafik HubunganSetelah Regresi
H
Q
8.0.E+05 9.0.E+05 1.0.E+06 1.1.E+06 1.2.E+06 1.3.E+0605
101520253035404550
1; 252; 30
3; 35
4; 405; 45
Hubungan antara H dan Cd
Grafik HubunganSetelah Regresi
Cd
H
1.350 1.400 1.450 1.500 1.550 1.600 1.650 1.7000.0.E+00
2.0.E+05
4.0.E+05
6.0.E+05
8.0.E+05
1.0.E+06
1.2.E+06
1; 6.4.E+05
2; 7.8.E+053; 9.1.E+05
4; 1.0.E+065; 1.1.E+06
Hubungan antara Log H dan Log Q
Grafik HubunganSetelah Regresi
Log H
Log Q
6.0.E+05 7.0.E+05 8.0.E+05 9.0.E+05 1.0.E+06 1.1.E+060.0.E+00
2.0.E+05
4.0.E+05
6.0.E+05
8.0.E+05
1.0.E+06
1.2.E+06
1.4.E+061; 1.2.E+06
2; 1.2.E+063; 1.1.E+06
4; 9.8.E+055; 8.6.E+05
Hubungan antara Q dan Cd
Grafik HubunganSetelah Regresi
Cd
Q
6.0.E+05 7.0.E+05 8.0.E+05 9.0.E+05 1.0.E+06 1.1.E+060.0.E+00
2.0.E+05
4.0.E+05
6.0.E+05
8.0.E+05
1.0.E+06
1.2.E+06
1.4.E+061; 1.2.E+06
2; 1.2.E+063; 1.1.E+06
4; 9.8.E+055; 8.6.E+05
Hubungan antara Q dan Cd
Grafik HubunganSetelah Regresi
Cd
Q
6.0.E+05 7.0.E+05 8.0.E+05 9.0.E+05 1.0.E+06 1.1.E+0605
101520253035404550
1; 252; 30
3; 354; 40
5; 45
Hubungan antara H dan Q
Grafik HubunganSetelah Regresi
H
Q
8.0.E+05 9.0.E+05 1.0.E+06 1.1.E+06 1.2.E+06 1.3.E+0605
101520253035404550
1; 252; 30
3; 35
4; 405; 45
Hubungan antara H dan Cd
Grafik HubunganSetelah Regresi
Cd
H
1.350 1.400 1.450 1.500 1.550 1.600 1.650 1.7000.0.E+00
2.0.E+05
4.0.E+05
6.0.E+05
8.0.E+05
1.0.E+06
1.2.E+06
1; 6.4.E+05
2; 7.8.E+053; 9.1.E+05
4; 1.0.E+065; 1.1.E+06
Hubungan antara Log H dan Log Q
Grafik HubunganSetelah Regresi
Log H
Log Q
6.0.E+05 7.0.E+05 8.0.E+05 9.0.E+05 1.0.E+06 1.1.E+060.0.E+00
2.0.E+05
4.0.E+05
6.0.E+05
8.0.E+05
1.0.E+06
1.2.E+06
1.4.E+061; 1.2.E+06
2; 1.2.E+063; 1.1.E+06
4; 9.8.E+055; 8.6.E+05
Hubungan antara Q dan Cd
Grafik HubunganSetelah Regresi
Cd
Q
6.0.E+05 7.0.E+05 8.0.E+05 9.0.E+05 1.0.E+06 1.1.E+060.0.E+00
2.0.E+05
4.0.E+05
6.0.E+05
8.0.E+05
1.0.E+06
1.2.E+06
1.4.E+061; 1.2.E+06
2; 1.2.E+063; 1.1.E+06
4; 9.8.E+055; 8.6.E+05
Hubungan antara Q dan Cd
Grafik HubunganSetelah Regresi
Cd
Q
No. Yg Y0 Y1 Q A0(mm) (mm) (mm) (L/det) (mm^2)
1 15 110 10.4 1.11 83602 20 110 12.4 1.31 83603 25 110 16.5 1.72 83604 30 110 20.5 2.1 83605 35 110 23.4 2.37 8360
No. Yg Cd XY X^2(X) (Y)
1 0.15 0.663 0.099 0.0232 0.2 0.587 0.117 0.0403 0.25 0.616 0.154 0.0634 0.3 0.627 0.188 0.0905 0.35 0.606 0.212 0.122
Σ = 1.25 3.099 0.771 0.337
A = -0.145B = 0.656
No. Y1 Cd XY X^2(X) (Y)
1 0.104 0.663 0.069 0.0112 0.124 0.587 0.073 0.0153 0.165 0.616 0.102 0.0274 0.205 0.627 0.129 0.0425 0.234 0.606 0.142 0.055
Σ = 0.832 3.099 0.514 0.150
A = -0.161B = 0.647
No. E0 Cd XY X^2(X) (Y)
1 1.109 0.663 0.735 1.2302 1.113 0.587 0.653 1.2383 1.122 0.616 0.691 1.2584 1.132 0.627 0.710 1.2825 1.141 0.606 0.692 1.302
Σ = 5.616 3.099 3.481 6.309
A = -0.592B = 1.285
No. Yg/Yo Cd XY X^2(X) (Y)
1 0.136 0.663 0.090 0.019
2 0.182 0.587 0.107 0.0333 0.227 0.616 0.140 0.0524 0.273 0.627 0.171 0.0745 0.318 0.606 0.193 0.101
Σ = 1.136 3.099 0.701 0.279
A = -0.159B = 0.656
A1 V0 V1 E0 E1 C(d)(mm^2) Dm/det Dm/det (Dm) (Dm) (L/det)
790.4 1.328 14.044 1.109 1.109 0.663942.4 1.567 13.901 1.113 1.109 0.5871254 2.057 13.716 1.122 1.124 0.6161558 2.512 13.479 1.132 1.131 0.627
1778.4 2.835 13.327 1.141 1.139 0.606
Sigma Cd = 3.099Cd Rerata = 0.620
X Y'(Yg)
0.15 0.6340.2 0.627
0.25 0.6200.3 0.613
0.35 0.605
X Y'(Y1)
0.104 0.6300.124 0.6270.165 0.6200.205 0.6140.234 0.609
X Y'(E0)
1.109 0.6281.113 0.6261.122 0.6211.132 0.6151.141 0.609
X Y'(Yg/Yo)
0.136 0.634
0.1 0.15 0.2 0.25 0.3 0.35 0.40.540
0.560
0.580
0.600
0.620
0.640
0.660
0.680
1; 0.6342; 0.627
3; 0.6204; 0.613
1; 0.663
2; 0.587
3; 0.6164; 0.627
5; 0.606
Hubungan Antara Cd dan Yg
Sebelum RegresiSetelah Regresi
Yg (Dm)
Cd(Lit/det)
0.08 0.1 0.12 0.14 0.16 0.18 0.2 0.22 0.24 0.260.540
0.560
0.580
0.600
0.620
0.640
0.660
0.680
1; 0.6302; 0.6273; 0.620
4; 0.614
1; 0.663
2; 0.587
3; 0.6164; 0.627
5; 0.606
Hubungan Antara Y1 dan Cd
Sebelum RegresiSetelah Regresi
Cd
Y1
1.105 1.110 1.115 1.120 1.125 1.130 1.135 1.140 1.1450.540
0.560
0.580
0.600
0.620
0.640
0.660
0.680
1; 0.6282; 0.626 3; 0.6214; 0.615
1; 0.663
2; 0.587
3; 0.6164; 0.627
5; 0.606
Hubungan Antara Eo dan Cd
Sebelum RegresiSetelah Regresi
Cd
Eo
0.182 0.6270.227 0.6200.273 0.6130.318 0.605
1.105 1.110 1.115 1.120 1.125 1.130 1.135 1.140 1.1450.540
0.560
0.580
0.600
0.620
0.640
0.660
0.680
1; 0.6282; 0.626 3; 0.6214; 0.615
1; 0.663
2; 0.587
3; 0.6164; 0.627
5; 0.606
Hubungan Antara Eo dan Cd
Sebelum RegresiSetelah Regresi
Cd
Eo
0.100 0.150 0.200 0.250 0.300 0.3500.540
0.560
0.580
0.600
0.620
0.640
0.660
0.680
1; 0.6342; 0.627
3; 0.6204; 0.613
1; 0.663
2; 0.587
3; 0.6164; 0.627
5; 0.606
Hubungan Antara Cd dan Yg/Yo
Sebelum RegresiSetelah Regresi
Cd
Yg/Yo
0.1 0.15 0.2 0.25 0.3 0.35 0.40.540
0.560
0.580
0.600
0.620
0.640
0.660
0.680
1; 0.6342; 0.627
3; 0.6204; 0.613
1; 0.663
2; 0.587
3; 0.6164; 0.627
5; 0.606
Hubungan Antara Cd dan Yg
Sebelum RegresiSetelah Regresi
Yg (Dm)
Cd(Lit/det)
0.08 0.1 0.12 0.14 0.16 0.18 0.2 0.22 0.24 0.260.540
0.560
0.580
0.600
0.620
0.640
0.660
0.680
1; 0.6302; 0.6273; 0.620
4; 0.614
1; 0.663
2; 0.587
3; 0.6164; 0.627
5; 0.606
Hubungan Antara Y1 dan Cd
Sebelum RegresiSetelah Regresi
Cd
Y1
1.105 1.110 1.115 1.120 1.125 1.130 1.135 1.140 1.1450.540
0.560
0.580
0.600
0.620
0.640
0.660
0.680
1; 0.6282; 0.626 3; 0.6214; 0.615
1; 0.663
2; 0.587
3; 0.6164; 0.627
5; 0.606
Hubungan Antara Eo dan Cd
Sebelum RegresiSetelah Regresi
Cd
Eo
1.105 1.110 1.115 1.120 1.125 1.130 1.135 1.140 1.1450.540
0.560
0.580
0.600
0.620
0.640
0.660
0.680
1; 0.6282; 0.626 3; 0.6214; 0.615
1; 0.663
2; 0.587
3; 0.6164; 0.627
5; 0.606
Hubungan Antara Eo dan Cd
Sebelum RegresiSetelah Regresi
Cd
Eo
0.100 0.150 0.200 0.250 0.300 0.3500.540
0.560
0.580
0.600
0.620
0.640
0.660
0.680
1; 0.6342; 0.627
3; 0.6204; 0.613
1; 0.663
2; 0.587
3; 0.6164; 0.627
5; 0.606
Hubungan Antara Cd dan Yg/Yo
Sebelum RegresiSetelah Regresi
Cd
Yg/Yo
No. Yg Y0 Y1 Q A0(mm) (mm) (mm) (L/det) (mm^2)
1 15 110 10.4 1.11 83602 20 110 12.4 1.31 83603 25 110 16.5 1.72 83604 30 110 20.5 2.1 83605 35 110 23.4 2.37 8360
No. Yc E(min) XY X^2X Y
1 0.026 0.038 0.0010 0.0012 0.029 0.043 0.0012 0.0013 0.034 0.051 0.0018 0.0014 0.039 0.059 0.0023 0.0025 0.042 0.064 0.0027 0.002
Σ = 0.170 0.255 0.009 0.006
A = 1.5B = -2.55E-16
No. Yc Yg XY X^2X Y
1 25.58 15 383.76 654.552 28.57 20 571.44 816.353 34.26 25 856.48 1173.684 39.14 30 1174.06 1531.585 42.42 35 1484.76 1799.61
Σ = 169.972 125.00 4470.50 5975.77
A = 1.12B = -13.04
No. Y1 E1 XY X^2X Y
1 10.40 111 1153.57 108.162 12.40 111 1374.98 153.763 16.50 112 1854.40 272.254 20.50 113 2318.52 420.255 23.40 114 2665.70 547.56
Σ = 83.200 561.21 9367.17 1501.98
A = 0.24B = 108.19
No. Eo Yo XY X^2X Y
1 110.90 110 12198.84 12298.482 111.25 110 12237.67 12376.903 112.16 110 12337.32 12579.304 113.22 110 12453.77 12817.885 114.10 110 12550.59 13017.95
Σ = 561.620 550.00 61778.18 63090.51
A = 0.00B = 110.00
110.00 111.00 112.00 113.00 114.00 115.000.00
20.00
40.00
60.00
80.00
100.00
120.00
1; 1102; 110
3; 110
4; 110
5; 110
Hubungan Antara Eo dan Yo
Garis Regresi Berhimpit
Yo
Eo
A1 V0 V1 E0 E1 C(d) yc Vc E(min) Nf(mm^2) Dm/det Dm/det (Dm) (Dm) (L/det) (Dm) m/s (meter)
790.4 1.328 14.044 1.109 1.109 0.663 0.256 0.501 0.038 1942.4 1.567 13.901 1.113 1.109 0.587 0.286 0.529 0.043 11254 2.057 13.716 1.122 1.124 0.616 0.343 0.580 0.051 11558 2.512 13.479 1.132 1.131 0.627 0.391 0.620 0.059 1
1778.4 2.835 13.327 1.141 1.139 0.606 0.424 0.645 0.064 1
Yc Y'(X)0.026 0.03840.029 0.04290.034 0.05140.039 0.05870.042 0.0636
Yc Y'(X)25.58 15.5928.57 18.9334.26 25.3039.14 30.7542.42 34.43
Yc Y'(X)10.40 110.7212.40 111.2116.50 112.2120.50 113.1823.40 113.89
0.020 0.025 0.030 0.035 0.040 0.0450.000
0.010
0.020
0.030
0.040
0.050
0.060
0.070
1; 0.03842; 0.0429
3; 0.05144; 0.0587
5; 0.0636
1; 0.0382; 0.043
3; 0.0514; 0.059
5; 0.064
Hubungan Antara Yc dan Emin
Garis Regresi = Garis Hubungan
Yc
Emin
24.00 26.00 28.00 30.00 32.00 34.00 36.00 38.00 40.00 42.00 44.000
5
10
15
20
25
30
35
40
1; 15
2; 20
3; 25
4; 30
5; 35
Hubungan Antara Yc dan Yg
Sebelum RegresiSetelah Regresi
Yg
Yc
8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00109
110
111
112
113
114
115
1; 110.72 2; 111.21
3; 112.21
4; 113.18
5; 113.89
1; 111
2; 111
3; 112
4; 113
5; 114
Hubungan Antara Y1 dan E1
Sebelum RegresiSetelah Regresi
E1
Y1
Yc Y'(X)110.90 110.00111.25 110.00112.16 110.00113.22 110.00114.10 110.00
8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00109
110
111
112
113
114
115
1; 110.72 2; 111.21
3; 112.21
4; 113.18
5; 113.89
1; 111
2; 111
3; 112
4; 113
5; 114
Hubungan Antara Y1 dan E1
Sebelum RegresiSetelah Regresi
E1
Y1
110.00 111.00 112.00 113.00 114.00 115.000.00
20.00
40.00
60.00
80.00
100.00
120.00
1; 1102; 110
3; 110
4; 110
5; 110
Hubungan Antara Eo dan Yo
Garis Regresi Berhimpit
Yo
Eo
y1 E1 yc E0 Y00.0104 0.11092 0.0256 0.1109 0.110.0124 0.110886 0.0286 0.1113 0.110.0165 0.112388 0.0343 0.1122 0.110.0205 0.113099 0.0391 0.1132 0.110.0234 0.113919 0.0424 0.1141 0.11
x yEspesifik 0 = 0.1123 0.11Espesifik 1 = 0.1122 0.02Espesifik min = 0.0510 0.0340
0.020 0.025 0.030 0.035 0.040 0.0450.000
0.010
0.020
0.030
0.040
0.050
0.060
0.070
1; 0.03842; 0.0429
3; 0.05144; 0.0587
5; 0.0636
1; 0.0382; 0.043
3; 0.0514; 0.059
5; 0.064
Hubungan Antara Yc dan Emin
Garis Regresi = Garis Hubungan
Yc
Emin
24.00 26.00 28.00 30.00 32.00 34.00 36.00 38.00 40.00 42.00 44.000
5
10
15
20
25
30
35
40
1; 15
2; 20
3; 25
4; 30
5; 35
Hubungan Antara Yc dan Yg
Sebelum RegresiSetelah Regresi
Yg
Yc
8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00109
110
111
112
113
114
115
1; 110.72 2; 111.21
3; 112.21
4; 113.18
5; 113.89
1; 111
2; 111
3; 112
4; 113
5; 114
Hubungan Antara Y1 dan E1
Sebelum RegresiSetelah Regresi
E1
Y1
0.0400 0.0500 0.06000.07000.08000.0900 0.10000.1100 0.12000
0.02
0.04
0.06
0.08
0.1
0.12
0.0340
0.02
0.11
Grafik Energy
Grafik Energy Spesifiky(meter)
E(meter)
Sub Kritis
Super Kritis
ϴ
8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00109
110
111
112
113
114
115
1; 110.72 2; 111.21
3; 112.21
4; 113.18
5; 113.89
1; 111
2; 111
3; 112
4; 113
5; 114
Hubungan Antara Y1 dan E1
Sebelum RegresiSetelah Regresi
E1
Y1
0.0400 0.0500 0.06000.07000.08000.0900 0.10000.1100 0.12000
0.02
0.04
0.06
0.08
0.1
0.12
0.0340
0.02
0.11
Grafik Energy
Grafik Energy Spesifiky(meter)
E(meter)
Sub Kritis
Super Kritis
ϴ
Yg Yo Y1 Y3 Q A1 A3 V1 V3(mm) (mm) (mm) (mm) (L/det) (mm^2) (mm^2) (m/det) (m/det)
15 100 10 65 1.2 760 4940 1.579 0.24320 100 12 73 1.5 912 5548 1.645 0.27025 100 15 76 1.7 1140 5776 1.491 0.29430 100 19.5 81 2.3 1482 6156 1.552 0.37435 100 22.5 84 2.5 1710 6384 1.462 0.392
0.0020 0.0030 0.0040 0.0050 0.00600.000
1.000
2.000
3.000
4.000
5.000
6.000
7.000
f(x) = − 1119.08763849845 x + 9.34668842918361R² = 0.918762926942732
Grafik HubunganLinear (Grafik Hubungan)
V12/g.y1
y3/y1
Hubungan Antara V12/g.y1 Dan y3/y1
0.0020 0.0030 0.0040 0.0050 0.00600.000
1.000
2.000
3.000
4.000
5.000
6.000
7.000
f(x) = − 2021.74990227765 x + 11.3328838500062R² = 0.89651335701941
Hubungan Antara V12/g.y1 dan H/y1
Grafik HubunganLinear (Grafik Hubungan)
V12/g.y1
H/y1
10 15 20 25 30 35 400
102030405060708090
f(x) = 0.92 x + 52.8R² = 0.96709323583181
Hubungan Antara y3 dan y1
Grafik HubunganLinear (Grafik Hubungan)
yg (mm)
y3(mm)
10 15 20 25 30 35 400
102030405060708090
f(x) = 0.92 x + 52.8R² = 0.96709323583181
Hubungan Antara y3 dan y1
Grafik HubunganLinear (Grafik Hubungan)
yg (mm)
y3(mm)
E1 E3 V1^2/(gxy1) Y3 H Yc(m) (m) Y1 Y1 (cm)
0.137 0.068 0.0025 6.500 6.399 2.9660.150 0.077 0.0033 6.083 5.398 3.4420.128 0.080 0.0034 5.067 3.318 3.7410.142 0.088 0.0048 4.154 1.888 4.5770.131 0.092 0.0049 3.733 1.367 4.838
0.0020 0.0030 0.0040 0.0050 0.00600.000
1.000
2.000
3.000
4.000
5.000
6.000
7.000
f(x) = − 1119.08763849845 x + 9.34668842918361R² = 0.918762926942732
Grafik HubunganLinear (Grafik Hubungan)
V12/g.y1
y3/y1
Hubungan Antara V12/g.y1 Dan y3/y1
3.500 4.000 4.500 5.000 5.500 6.000 6.500 7.0000.000
1.000
2.000
3.000
4.000
5.000
6.000
7.000
f(x) = 1.82125619356531 x − 5.62772242536908R² = 0.991673529002579
Hubungan Antara y3/y1 Dan H/y1
Grafik HubunganLinear (Grafik Hubungan)
y3/y1
H/y1
0.0020 0.0030 0.0040 0.0050 0.00600.000
1.000
2.000
3.000
4.000
5.000
6.000
7.000
f(x) = − 2021.74990227765 x + 11.3328838500062R² = 0.89651335701941
Hubungan Antara V12/g.y1 dan H/y1
Grafik HubunganLinear (Grafik Hubungan)
V12/g.y1
H/y1
10 15 20 25 30 35 400.000
1.000
2.000
3.000
4.000
5.000
6.000
7.000
f(x) = − 0.14925641025641 x + 8.83884615384615R² = 0.978668071452041
Hubungan Antara yg dan y3/y1
Grafik HubunganLinear (Grafik Hubungan)
yg
y3/y1
10 15 20 25 30 35 400
102030405060708090
f(x) = 0.92 x + 52.8R² = 0.96709323583181
Hubungan Antara y3 dan y1
Grafik HubunganLinear (Grafik Hubungan)
yg (mm)
y3(mm)
10 15 20 25 30 35 400
102030405060708090
f(x) = 0.92 x + 52.8R² = 0.96709323583181
Hubungan Antara y3 dan y1
Grafik HubunganLinear (Grafik Hubungan)
yg (mm)
y3(mm)
No Q Y I V P R A(L/det) (mm) (%) (dm/det) (mm) (mm) (mm^2)
1 1.2 34.63 0 4.56 145.26 18.12 2631.882 1.2 29.97 0.5 5.27 135.94 16.76 2277.723 1.2 27.93 1.0 5.65 131.86 16.10 2122.684 1.2 26.03 1.5 6.07 128.06 15.45 1978.285 1.2 23.37 2.0 6.76 122.74 14.47 1776.12
sigma n =n rerata =
No. I Y xy X^2(X) (y)
1 0 34.63 0 02 0.5 29.97 14.99 0.253 1 27.93 27.93 14 1.5 26.03 39.05 2.255 2 23.37 46.74 4
Σ = 5 141.9 128.7 7.5
A = = -5.292
B = Σy - AΣx = 33.678n
Y' = AX + B = -5.292 X + 33.678
Setelah Regresi :
I Y'(X)
0 33.680.5 31.03
1 28.391.5 25.74
2 23.09
No. I n xy X^2(X) (y)
1 0 0 0 02 0.5 0.04 0.02 0.253 1 0.05 0.05 14 1.5 0.06 0.09 2.255 2 0.06 0.12 4
Σ = 5 0.21 0.28 7.5
nΣxy - ΣxΣy n(Σx^2) - Σ(x^2)
A = = 0.0265
B = Σy - AΣx = 0.0152n
Y' = AX + B = 0.027 X + 0.015
Setelah Regresi :
I Y'(X)
0 0.020.5 0.03
1 0.041.5 0.06
2 0.07
No. I V xy X^2 No.(X) (y)
1 0 4.56 0 0 12 0.5 5.27 2.63 0.25 23 1 5.65 5.65 1 34 1.5 6.07 9.10 2.25 45 2 6.76 13.51 4 5
Σ = 5 28.30 30.90 7.5 Σ =
A = = 1.04 A =
B = Σy - AΣx = 4.62 B =n
Y' = AX + B = 1.04 X + 4.62 Y' =
Setelah Regresi :
I Y'(X)
0 4.620.5 5.14
1 5.661.5 6.18
2 6.70
nΣxy - ΣxΣy n(Σx^2) - Σ(x^2)
nΣxy - ΣxΣy n(Σx^2) - Σ(x^2)
0 0.5 1 1.5 2 2.50.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
1; 4.622; 5.14
3; 5.664; 6.18
5; 6.70
1; 4.562; 5.27
3; 5.654; 6.07
5; 6.76
Hubungan Antara I dan V
Grafik HubunganSetelah Regresi
V
I(%)
(dm/det)
0 0.5 1 1.5 2 2.50.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
1; 4.622; 5.14
3; 5.664; 6.18
5; 6.70
1; 4.562; 5.27
3; 5.654; 6.07
5; 6.76
Hubungan Antara I dan V
Grafik HubunganSetelah Regresi
V
I(%)
(dm/det)
n
00.0410.0520.0580.0580.2090.042
n V xy X^2(X) (y)
0 4.56 0 00.04 5.27 0.21 0.0020.05 5.65 0.30 0.0030.06 6.07 0.35 0.0030.06 6.76 0.39 0.0030.21 28.30 1.25 0.011
= 29.59
Σy - AΣx = 4.42n
AX + B = 29.59 X + 4.42
Setelah Regresi :
n Y'(X)
0 4.420.041 5.630.052 5.970.058 6.140.058 6.13
nΣxy - ΣxΣy n(Σx^2) - Σ(x^2)
0 0.5 1 1.5 2 2.50.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
1; 4.622; 5.14
3; 5.664; 6.18
5; 6.70
1; 4.562; 5.27
3; 5.654; 6.07
5; 6.76
Hubungan Antara I dan V
Grafik HubunganSetelah Regresi
V
I(%)
(dm/det)
0 0.01 0.02 0.03 0.04 0.05 0.06 0.070.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
1; 4.42
2; 5.63 3; 5.974; 6.145; 6.13
1; 4.56 2; 5.27
3; 5.65 4; 6.07
5; 6.76
Hubungan Antara V dan n
Grafik HubunganSetelah Regresi
n
V(dm/det)
0 0.5 1 1.5 2 2.50
5
10
15
20
25
30
35
40
1; 33.682; 31.03
3; 28.394; 25.74
5; 23.09
1; 34.63
2; 29.973; 27.93
4; 26.035; 23.37
Hubungan Antara I dan Y
Grafik HubunganSetelah Regresi
Y(mm)
I (%)
0 0.5 1 1.5 2 2.50
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
1; 0.02
2; 0.03
3; 0.04
4; 0.06
5; 0.07
1; 0
2; 0.041
3; 0.0524; 0.058 5; 0.058
Hubungan Antara I dan n
Grafik HubunganSetelah Regresi
n
I
0 0.5 1 1.5 2 2.50.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
1; 4.622; 5.14
3; 5.664; 6.18
5; 6.70
1; 4.562; 5.27
3; 5.654; 6.07
5; 6.76
Hubungan Antara I dan V
Grafik HubunganSetelah Regresi
V
I(%)
(dm/det)
0 0.5 1 1.5 2 2.50
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
1; 0.02
2; 0.03
3; 0.04
4; 0.06
5; 0.07
1; 0
2; 0.041
3; 0.0524; 0.058 5; 0.058
Hubungan Antara I dan n
Grafik HubunganSetelah Regresi
n
I
0 0.01 0.02 0.03 0.04 0.05 0.06 0.070.00
1.00
2.00
3.00
4.00
5.00
6.00
7.00
8.00
1; 4.42
2; 5.63 3; 5.974; 6.145; 6.13
1; 4.56 2; 5.27
3; 5.65 4; 6.07
5; 6.76
Hubungan Antara V dan n
Grafik HubunganSetelah Regresi
n
V(dm/det)
0 0.5 1 1.5 2 2.50
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
1; 0.02
2; 0.03
3; 0.04
4; 0.06
5; 0.07
1; 0
2; 0.041
3; 0.0524; 0.058 5; 0.058
Hubungan Antara I dan n
Grafik HubunganSetelah Regresi
n
I
0 0.5 1 1.5 2 2.50
0.01
0.02
0.03
0.04
0.05
0.06
0.07
0.08
1; 0.02
2; 0.03
3; 0.04
4; 0.06
5; 0.07
1; 0
2; 0.041
3; 0.0524; 0.058 5; 0.058
Hubungan Antara I dan n
Grafik HubunganSetelah Regresi
n
I
No. Pengisian y^2 m X(ca) X(ct)Berat(m) Tinggi(y) (cm^2) y^2 (cm) (cm)
1 30 35 12.25 2.45 17.72 18.832 60 50 25 2.40 17.37 18.333 90 62 38.44 2.34 16.94 17.934 120 73 53.29 2.25 16.30 17.575 150 80 64 2.34 16.96 17.336 180 90 81 2.22 16.08 17.007 220 100 100 2.20 15.92 16.67
L = 27,5 cm a = 10 cm X(ca) rerata = 16.76 cmB = 7,6 cm z = 10 cm X(ct) rerata = 17.67 cm
X(ca) = 2 x m x LB x y^2
X(ct) = a + z - 1/3 x y
No. X(ca) X(ct) xy x^2(X) (Y)
1 17.72 18.83 333.781 314.102 17.37 18.33 318.421 301.663 16.94 17.93 303.857 287.094 16.30 17.57 286.269 265.565 16.96 17.33 293.997 287.696 16.08 17.00 273.392 258.637 15.92 16.67 265.351 253.48
Σ = 117.30 123.67 2075.07 1968.21
A = = 1.036
B = Σy - AΣx = 0.31n
Y' = Ax+B Y' = 1.036 X + 0.31
Setelah Regresi
X(ca) Y'(X)17.72 18.66717.37 18.30016.94 17.86116.30 17.19016.96 17.879
nΣxy - ΣxΣy n(Σx^2) - (Σx)^2
15.50 16.00 16.50 17.00 17.50 18.0015.50
16.00
16.50
17.00
17.50
18.00
18.50
19.001; 18.83
2; 18.33
3; 17.93
4; 17.575; 17.33
6; 17.00
7; 16.67
Grafik HubunganSetalah Regresi
Xca
Xct
0.00 20.00 40.00 60.00 80.00 100.00 120.002.05
2.10
2.15
2.20
2.25
2.30
2.35
2.40
2.45
2.50
1; 2.45
2; 2.40
3; 2.34
4; 2.25
5; 2.34
6; 2.227; 2.20
Grafik HubunganSetalah Regresi
m/y^2
16.08 16.96815.92 16.801
No. Y^2 m/Y^2 xy x^2(X) (Y)
1 12.25 2.45 30.000 150.062 25.00 2.40 60.000 625.003 38.44 2.34 90.000 1477.634 53.29 2.25 120.000 2839.825 64.00 2.34 150.000 4096.006 81.00 2.22 180.000 6561.007 100.00 2.20 220.000 10000.00
Σ = 373.98 16.21 850.00 25749.52
A = = -0.00276
B = Σy - AΣx = 2.46n
Y' = Ax+B Y' = -0.00276 X + 2.46
Setelah Regresi
Y^2 Y'(X)12.25 2.42925.00 2.39438.44 2.35753.29 2.31664.00 2.28681.00 2.239
100.00 2.187
nΣxy - ΣxΣy n(Σx^2) - Σ(x^2)
0.00 20.00 40.00 60.00 80.00 100.00 120.002.05
2.10
2.15
2.20
2.25
2.30
2.35
2.40
2.45
2.50
1; 2.45
2; 2.40
3; 2.34
4; 2.25
5; 2.34
6; 2.227; 2.20
Grafik HubunganSetalah Regresi
m/y^2
15.50 16.00 16.50 17.00 17.50 18.0015.50
16.00
16.50
17.00
17.50
18.00
18.50
19.001; 18.83
2; 18.33
3; 17.93
4; 17.575; 17.33
6; 17.00
7; 16.67
Grafik HubunganSetalah Regresi
Xca
Xct
0.00 20.00 40.00 60.00 80.00 100.00 120.002.05
2.10
2.15
2.20
2.25
2.30
2.35
2.40
2.45
2.50
1; 2.45
2; 2.40
3; 2.34
4; 2.25
5; 2.34
6; 2.227; 2.20
Grafik HubunganSetalah Regresi
m/y^2
0.00 20.00 40.00 60.00 80.00 100.00 120.002.05
2.10
2.15
2.20
2.25
2.30
2.35
2.40
2.45
2.50
1; 2.45
2; 2.40
3; 2.34
4; 2.25
5; 2.34
6; 2.227; 2.20
Grafik HubunganSetalah Regresi
m/y^2
No. Pengisian y^2 m X(ca) X(ct)Berat(m) Tinggi(y) (cm^2) y^2 (cm) (cm)
1 250 108 116.64 2.14 15.51 16.402 280 115 132.25 2.12 15.32 16.173 310 123 151.29 2.05 14.83 15.904 340 128 163.84 2.08 15.02 15.735 370 135 182.25 2.03 14.69 15.506 400 143 204.49 1.96 14.16 15.237 460 160 256 1.80 13.00 14.67
L = 27,5 cm a = 10 cm X(ca) rerata = 14.65 cmB = 7,6 cm b = 10 cm X(ct) rerata = 15.66 cm
X(ca) = 2 x m x LB x y^2
X(ct) = a + z - 1/3 x y
No. X(ca) X(ct) xy x^2(X) (Y)
1 15.51 16.40 254.381 240.592 15.32 16.17 247.703 234.763 14.83 15.90 235.775 219.894 15.02 15.73 236.281 225.545 14.69 15.50 227.727 215.866 14.16 15.23 215.641 200.397 13.00 14.67 190.721 169.10
Σ = 102.53 109.60 1608.23 1506.12
A = = 0.669
B = Σy - AΣx = 5.86n
Y' = Ax+B Y' = 0.669 X + 5.86
Setelah Regresi
X(ca) Y'(X)15.51 16.23515.32 16.10814.83 15.77815.02 15.90514.69 15.68714.16 15.32813.00 14.558
nΣxy - ΣxΣy n(Σx^2) - (Σx)^2
12.50 13.00 13.50 14.00 14.50 15.00 15.50 16.0013.50
14.00
14.50
15.00
15.50
16.00
16.50
17.00
1; 16.402; 16.17
3; 15.904; 15.73
5; 15.506; 15.23
7; 14.67
Hubungan antara Xca dan X ct
Grafik HubunganSetelah Regersi
Xca
Xct
100.00 120.00 140.00 160.00 180.00 200.00 220.00 240.00 260.00 280.000.00
0.50
1.00
1.50
2.00
2.50
1; 2.1602; 2.122
3; 2.0754; 2.0455; 2.000
6; 1.946
7; 1.821
Hubungan Antara m/y^2 dan y^2
Grafik HubunganSetelah Regresi
m/y^2
No. Y^2 m/Y^2 xy x^2(X) (Y)
1 116.64 2.14 250.000 13604.892 132.25 2.12 280.000 17490.063 151.29 2.05 310.000 22888.664 163.84 2.08 340.000 26843.555 182.25 2.03 370.000 33215.066 204.49 1.96 400.000 41816.167 256.00 1.80 460.000 65536.00
Σ = 1206.76 14.17 2410.00 221394.38
A = = -0.00243
B = Σy - AΣx = 2.44n
Y' = Ax+B Y' = -0.00243 X + 2.44
Setelah Regresi
Y^2 Y'(X)116.64 2.160132.25 2.122151.29 2.075163.84 2.045182.25 2.000204.49 1.946256.00 1.821
nΣxy - ΣxΣy n(Σx^2) - Σ(x^2)
100.00 120.00 140.00 160.00 180.00 200.00 220.00 240.00 260.00 280.000.00
0.50
1.00
1.50
2.00
2.50
1; 2.1602; 2.122
3; 2.0754; 2.0455; 2.000
6; 1.946
7; 1.821
Hubungan Antara m/y^2 dan y^2
Grafik HubunganSetelah Regresi
m/y^2
12.50 13.00 13.50 14.00 14.50 15.00 15.50 16.0013.50
14.00
14.50
15.00
15.50
16.00
16.50
17.00
1; 16.402; 16.17
3; 15.904; 15.73
5; 15.506; 15.23
7; 14.67
Hubungan antara Xca dan X ct
Grafik HubunganSetelah Regersi
Xca
Xct
100.00 120.00 140.00 160.00 180.00 200.00 220.00 240.00 260.00 280.000.00
0.50
1.00
1.50
2.00
2.50
1; 2.1602; 2.122
3; 2.0754; 2.0455; 2.000
6; 1.946
7; 1.821
Hubungan Antara m/y^2 dan y^2
Grafik HubunganSetelah Regresi
m/y^2
100.00 120.00 140.00 160.00 180.00 200.00 220.00 240.00 260.00 280.000.00
0.50
1.00
1.50
2.00
2.50
1; 2.1602; 2.122
3; 2.0754; 2.0455; 2.000
6; 1.946
7; 1.821
Hubungan Antara m/y^2 dan y^2
Grafik HubunganSetelah Regresi
m/y^2
100.00 120.00 140.00 160.00 180.00 200.00 220.00 240.00 260.00 280.000.00
0.50
1.00
1.50
2.00
2.50
1; 2.1602; 2.122
3; 2.0754; 2.0455; 2.000
6; 1.946
7; 1.821
Hubungan Antara m/y^2 dan y^2
Grafik HubunganSetelah Regresi
m/y^2
100.00 120.00 140.00 160.00 180.00 200.00 220.00 240.00 260.00 280.000.00
0.50
1.00
1.50
2.00
2.50
1; 2.1602; 2.122
3; 2.0754; 2.0455; 2.000
6; 1.946
7; 1.821
Hubungan Antara m/y^2 dan y^2
Grafik HubunganSetelah Regresi
m/y^2
TABEL PERCOBAAN GLISEROL
Jenis SphereDiameter Berat Waktu Kecepatan kecepatan rerata V
(mm) (gram) (detik) (cm/det) (cm/det) (cm^3)3.3 30.303
3.38 29.5866.35 1.0346 3.4 29.412 29.718 0.134
3.45 28.986Steel 3.3 30.303
2 50.0002.05 48.780
9.5 3.5146 2 50.000 48.942 0.4492.1 47.619
2.07 48.30911.05 9.050
10.5 9.5246.35 0.5146 10.6 9.434 9.356 0.134
10 10.000Ceramic 11.4 8.772
17.2 5.81417 5.882
9.5 1.7446 17.01 5.879 5.841 0.44917.05 5.86517.35 5.764
catatan :Tinggi = 100 cm
Temp. = 30 celcius0.88 gr/cm^3
g = 981 cm/det^2
TABEL PERCOBAAN OLI
Jenis SphereDiameter Berat Waktu Kecepatan kecepatan rerata V
(mm) (gram) (detik) (cm/det) (cm/det) (cm^3)2.35 42.553
2.4 41.6676.35 1.0346 2.55 39.216 39.703 0.134
2.72 36.765Steel 2.61 38.314
1.8 55.5561.5 66.667
9.5 3.5146 1.47 68.027 66.828 0.4491.4 71.429
1.38 72.4646.3 15.873
6.35 15.7486.35 0.5146 6.45 15.504 15.730 0.134
6.55 15.267Ceramic 6.15 16.260
3.5 28.5713.45 28.986
ρ =
9.5 1.7446 3.6 27.778 28.464 0.4493.55 28.1693.47 28.818
Steelμ Cd Re No. Cd
(gr/cm^3) (gr/cm^2.det^2) (gr/cm^2.det^2) (gr/cm.dt) 1 14.6222 8.1983 8.192
7.721 863.28 7574.290 1.606 14.622 10.339 4 4.397
CeramicNo. Cd
1 63.8417.833 863.28 7684.148 3.319 8.198 12.327 2 249.022
3 22.5834 10.485
3.840 863.28 3767.378 2.208 63.841 2.368
3.888 863.28 3814.307 12.033 249.022 0.406
μ Cd Re(gr/cm^3) (gr/cm^2.det^2) (gr/cm^2.det^2) (gr/cm.dt)
7.721 863.28 7574.290 1.202 8.192 18.454
7.833 863.28 7684.148 2.431 4.397 22.984
3.840 863.28 3767.378 1.313 22.583 6.694
ρs yf ys
ρs yf ys
5.000 10.000 15.000 20.000 25.0000.000
2.000
4.000
6.000
8.000
10.000
12.000
14.000
16.0001; 14.622
2; 8.1983; 8.192
4; 4.397
Hubungan Antara Cd Dan Re pada Steel
Grafik HubunganLinear (Grafik Hubungan)
Re
Cd
0.0002.000
4.0006.000
8.000
10.000
12.0000.000
50.000
100.000
150.000
200.000
250.000
300.000
1; 63.841
2; 249.022
3; 22.5834; 10.485
Hubungan Antara Cd dan Re pada Ceramic
Grafik HubunganLinear (Grafik Hubungan)
Re
Cd
3.888 863.28 3814.307 2.469 10.485 9.638
5.000 10.000 15.000 20.000 25.0000.000
2.000
4.000
6.000
8.000
10.000
12.000
14.000
16.0001; 14.622
2; 8.1983; 8.192
4; 4.397
Hubungan Antara Cd Dan Re pada Steel
Grafik HubunganLinear (Grafik Hubungan)
Re
Cd
Re Fluida10.339 Gliserol12.32718.454 Oli22.984
Re Fluida2.368 Gliserol0.4066.694 Oli9.638
5.000 10.000 15.000 20.000 25.0000.000
2.000
4.000
6.000
8.000
10.000
12.000
14.000
16.0001; 14.622
2; 8.1983; 8.192
4; 4.397
Hubungan Antara Cd Dan Re pada Steel
Grafik HubunganLinear (Grafik Hubungan)
Re
Cd
0.0002.000
4.0006.000
8.000
10.000
12.0000.000
50.000
100.000
150.000
200.000
250.000
300.000
1; 63.841
2; 249.022
3; 22.5834; 10.485
Hubungan Antara Cd dan Re pada Ceramic
Grafik HubunganLinear (Grafik Hubungan)
Re
Cd
5.000 10.000 15.000 20.000 25.0000.000
2.000
4.000
6.000
8.000
10.000
12.000
14.000
16.0001; 14.622
2; 8.1983; 8.192
4; 4.397
Hubungan Antara Cd Dan Re pada Steel
Grafik HubunganLinear (Grafik Hubungan)
Re
Cd
Jenis Fluida Tinggi Jenis Diameter Berat Waktu Kecepatan(m) benda coba (mm) (gram) (detik) (m/det)
9.2 0.1099.1 0.110
1 Sphere 6.35 1.0046 9.3 0.1089.23 0.108
Gliserol 9.15 0.1095.48 0.182
5.6 0.1791 Streamline 9.5 3.4246 5.63 0.178
5.7 0.1755.6 0.179
5.75 0.1745.8 0.172
1 Sphere 6.35 1.0046 5.78 0.1735.83 0.172
Oli 5.65 0.1773.4 0.294
3.55 0.2821 Streamline 9.5 3.4246 3.52 0.284
3.6 0.2783.57 0.280
Kecepatan Rata-rata(m/det)
0.109
0.179
0.174
0.284
diameter pipa = 13 mmNo Pengukuran Debit Kecepatan Kecepatan Bilangan
Percobaan Waktu Volume Debit Aliran rerata Reynolds(s) (ml) (ml/s) (mm/s) (mm/s) (Re)
10 219 21.9 165.07710 222 22.2 167.339 166.836 2562.0569
1 10 223 22.3 168.093
Rata-rata = 22.1310 228 22.8 171.86110 278 27.8 209.550 176.133 2704.8221
2 10 195 19.5 146.987
Rata-rata = 23.3710 205 20.5 154.52510 182 18.2 137.188 136.183 2091.3175
3 10 155 15.5 116.836
Rata-rata = 18.0710 180 18 135.68010 155 15.5 116.836 123.117 1890.6745
4 10 155 15.5 116.836
Rata-rata = 16.338 158 19.75 148.8718 151 18.875 142.276 143.532 2204.1792
5 8 148 18.5 139.449
Rata-rata = 19.048 140 17.5 131.9118 130 16.25 122.489 125.630 1929.2597
6 8 130 16.25 122.489
Rata-rata = 16.675 138 27.6 208.0435 130 26 195.982 198.997 3055.9474
7 5 128 25.6 192.967
Rata-rata = 26.405 226 45.2 340.7085 228 45.6 343.723 352.768 5417.3612
8 5 248 49.6 373.874
Rata-rata = 46.805 238 47.6 358.7985 220 44 331.662 338.698 5201.2842
9 5 216 43.2 325.632
Rata-rata = 44.935 208 41.6 313.5725 188 37.6 283.421 310.054 4761.4129
10 5 221 44.2 333.170
Rata-rata = 41.13
1800.0000 1900.0000 2000.0000 2100.0000 2200.0000 2300.00000.02600.02700.02800.02900.03000.03100.03200.03300.03400.0350
Hubungan Antara Re dan f Untuk Aliran Laminer
Grafik Hubungan
f
Re
1800.0000 1900.0000 2000.0000 2100.0000 2200.0000 2300.0000
-1.560
-1.540
-1.520
-1.500
-1.480
-1.460
-1.440
-1.420
Grafik Hubungan
Hubungan Antara Re dan Log f Untuk Aliran Laminer
Log f
Re
1800.0000 1900.0000 2000.0000 2100.0000 2200.0000 2300.0000
-1.560
-1.540
-1.520
-1.500
-1.480
-1.460
-1.440
-1.420
Grafik Hubungan
Hubungan Antara Re dan Log f Untuk Aliran Laminer
Log f
Re
A = 132.665 mm^2 0.8465 mm^2/detTampak Faktor Log Re Log f
Visual Gesekanturbulen = Re > 4000Transisi = 2300 < Re <4000Laminer = Re < 2300
Laminer 0.0426 3.409 -1.371
Laminer 0.0422 3.432 -1.374
Laminer 0.0306 3.320 -1.514
Laminer 0.0339 3.277 -1.470
Transisi 0.0290 3.343 -1.537
Transisi 0.0332 3.285 -1.479
Turbulen 0.0414 3.485 -1.383
Turbulen 0.0368 3.734 -1.434
Turbulen 0.0372 3.716 -1.429
v =
(f)
1000.0000 2000.0000 3000.0000 4000.0000 5000.0000 6000.00000.000
50.000
100.000
150.000
200.000
250.000
300.000
350.000
400.000
Grafik Hubungan
Hubungan Antara Re dan vv
Re
1000.0000 2000.0000 3000.0000 4000.0000 5000.0000 6000.00000.005.00
10.0015.0020.0025.0030.0035.0040.0045.0050.00
Hubungan Antara Re dan QQ(ml/det)
Re
4600.0000 4800.0000 5000.0000 5200.0000 5400.0000 5600.00000.03620.03640.03660.03680.03700.03720.03740.03760.03780.03800.0382
Hubungan Antara Re dan f Untuk Aliran Turbulen
f
Re
Turbulen 0.0380 3.678 -1.420
4600.0000 4800.0000 5000.0000 5200.0000 5400.0000 5600.00000.03620.03640.03660.03680.03700.03720.03740.03760.03780.03800.0382
Hubungan Antara Re dan f Untuk Aliran Turbulen
f
Re
2550.0000 2600.0000 2650.0000 2700.0000 2750.00000.0420
0.0421
0.0422
0.0423
0.0424
0.0425
0.0426
0.0427
Hubungan Antara Re dan f Untuk Aliran Transisi
Grafik Hubungan
f
Re
1800.0000 1900.0000 2000.0000 2100.0000 2200.0000 2300.00000.02600.02700.02800.02900.03000.03100.03200.03300.03400.0350
Hubungan Antara Re dan f Untuk Aliran Laminer
Grafik Hubungan
f
Re
2000.0000 3000.0000 4000.0000 5000.0000 6000.0000
-1.440
-1.430
-1.420
-1.410
-1.400
-1.390
-1.380
-1.370
-1.360
-1.350
Grafik Hubungan
Grafik Hubungan Re dan Log f Untuk Aliran TurbulenLog f
Re
2550.0000 2600.0000 2650.0000 2700.0000 2750.0000
-1.375
-1.374
-1.373
-1.372
-1.371
-1.370
-1.369
-1.368
Grafik Hubungan
Hubungan Antara Re dan Log f Untuk Aliran TransisiLog f
Re
1800.0000 1900.0000 2000.0000 2100.0000 2200.0000 2300.0000
-1.560
-1.540
-1.520
-1.500
-1.480
-1.460
-1.440
-1.420
Grafik Hubungan
Hubungan Antara Re dan Log f Untuk Aliran Laminer
Log f
Re
2000.0000 3000.0000 4000.0000 5000.0000 6000.0000
-1.440
-1.430
-1.420
-1.410
-1.400
-1.390
-1.380
-1.370
-1.360
-1.350
Grafik Hubungan
Grafik Hubungan Re dan Log f Untuk Aliran TurbulenLog f
Re
1800.0000 1900.0000 2000.0000 2100.0000 2200.0000 2300.0000
-1.560
-1.540
-1.520
-1.500
-1.480
-1.460
-1.440
-1.420
Grafik Hubungan
Hubungan Antara Re dan Log f Untuk Aliran Laminer
Log f
Re
1000.0000 2000.0000 3000.0000 4000.0000 5000.0000 6000.00000.000
50.000
100.000
150.000
200.000
250.000
300.000
350.000
400.000
Grafik Hubungan
Hubungan Antara Re dan vv
Re
1000.0000 2000.0000 3000.0000 4000.0000 5000.0000 6000.00000.005.00
10.0015.0020.0025.0030.0035.0040.0045.0050.00
Hubungan Antara Re dan QQ(ml/det)
Re
4600.0000 4800.0000 5000.0000 5200.0000 5400.0000 5600.00000.03620.03640.03660.03680.03700.03720.03740.03760.03780.03800.0382
Hubungan Antara Re dan f Untuk Aliran Turbulen
f
Re
4600.0000 4800.0000 5000.0000 5200.0000 5400.0000 5600.00000.03620.03640.03660.03680.03700.03720.03740.03760.03780.03800.0382
Hubungan Antara Re dan f Untuk Aliran Turbulen
f
Re
2550.0000 2600.0000 2650.0000 2700.0000 2750.00000.0420
0.0421
0.0422
0.0423
0.0424
0.0425
0.0426
0.0427
Hubungan Antara Re dan f Untuk Aliran Transisi
Grafik Hubungan
f
Re
Thanks to:
Re 1E+06 Reynold's Number in the tubing\epsilon/D 1.50E-03 Relative Roughness (Glass Material)
A 3.03E+20 Churchill coefficient "A"
B 1.55E-23 Churchill coefficient "B"
f_{M} 0.022 Moody Friction Factor
No Re A B f_{M}1 3E+03 5.59E+17 4.494038E+18 0.0372 3E+03 6.41E+17 1.887286E+18 0.0403 2E+03 3.29E+17 1.157011E+20 0.0314 2E+03 2.51E+17 5.810169E+20 0.0345 2E+03 3.79E+17 4.99007E+19 0.0306 2E+03 2.65E+17 4.205387E+20 0.0337 3E+03 8.67E+17 2.677461E+17 0.0448 5E+03 3.20E+18 2.814831E+13 0.0399 5E+03 2.94E+18 5.398682E+13 0.039
10 5E+03 2.42E+18 2.219645E+14 0.040
Selisih Nilai Friction Factor Antara Perhitungandengan Diagram
Perhitungan Diagram Selisih0.043 0.037 0.0060.042 0.040 0.0020.031 0.031 0.0000.034 0.034 0.0000.029 0.030 -0.0010.033 0.033 0.0000.041 0.044 -0.0030.037 0.039 -0.0020.037 0.039 -0.0020.038 0.040 -0.002
http://www.eng-tips.com/faqs.cfm?fid=1237
B =1637530
Re
Mf = 8 ·1
1 2128Re + ( - 1.5)(A + B)
A =16- 2.457 · ln
0.97Re + (0.27 · (
ε/ D))
1A =16
- 2.457 · ln0.971Re + (0.27 · (
ε/ D))
1B =1637530
1Re
Mf 1 = 8 ·1
1 21281Re + ( - 1.5)( 1A + 1B )
Mf = 8 ·1
1 2128Re + ( - 1.5)(A + B)
A =16- 2.457 · ln
0.97Re + (0.27 · (
ε/ D))
1A =16
- 2.457 · ln0.971Re + (0.27 · (
ε/ D))
Mf 1 = 8 ·1
1 21281Re + ( - 1.5)( 1A + 1B )
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.040
Excel Moody Diagram 2
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.037Excel Moody Diagram 1
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.040
Excel Moody Diagram 2
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.031 Excel Moody Diagram 3
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.034 Excel Moody Diagram 4
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.034 Excel Moody Diagram 4
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.030 Excel Moody Diagram 5
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.040
Excel Moody Diagram 2
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.044
Excel Moody Diagram 7
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.037Excel Moody Diagram 1
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.033 Excel Moody Diagram 6
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.040
Excel Moody Diagram 2
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.031 Excel Moody Diagram 3
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.034 Excel Moody Diagram 4
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.044
Excel Moody Diagram 7
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.039
Excel Moody Diagram 8
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.039
Excel Moody Diagram 9
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.034 Excel Moody Diagram 4
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.030 Excel Moody Diagram 5
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.039
Excel Moody Diagram 9
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.040
Excel Moody Diagram 10
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.044
Excel Moody Diagram 7
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.033 Excel Moody Diagram 6
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.044
Excel Moody Diagram 7
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.039
Excel Moody Diagram 8
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.039
Excel Moody Diagram 9
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.039
Excel Moody Diagram 9
1E+03 1E+04 1E+05 1E+06 1E+07 1E+08
0.010
0.100
0.040
Excel Moody Diagram 10