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Online since: March 2007
Authors: Ming Li Qin, Xuan Hui Qu, Syed Humail Islam, Shi Bo Guo, Xin Bo He, Chun Feng Tang
(a) (b)
Fig.9 SEM of the as-sintered Ti6Al4V compacts made with the improved
binder (a) and by traditional binder(b)
Table 4 Properties of Ti6Al4V alloy made by PIM and press-sintering process
Process
Density
/g.cm
-3
Tensile strength
/MPa
Yield strength
/MPa
Elongation
/%
PIM (traditional binder) 4.23 720 645 3.0
PIM (improved binder) 4.30 800 715 5.5
PIM (improved binder)+HIP 4.42 1060 960 9.5
Press/sinter 4.41 896 827 12
Table 5 Dimensional shrinkage and deviation of the as-sintered parts
Dimension Length Width Height
As-molded parts/mm 48.00 6.38 6.38
As-sintered parts/mm 41.20 5.44 5.44
Shrinkage/% 14.2 14.7 14.7
Deviation/mm ±0.02 ±0.03 ±0.03
Conclusions
(1) An improved multi-component wax-based binder was developed for PIM of
Ti6Al4V alloy.
Online since: January 2011
Authors: Long Xue, Jing Li, Xiao Wang, Chun Sheng Luo, Mu Hua Liu
Table 2 Summary of SVM results by different methods
Select method
Selected spectral range
or wavelength [nm]
Variables in
SVM model
Accuracy of Prediction set
SVM (whole spectral range)
460-1800
1341
83.43%
GA-SVM (5 characteristic spectral ranges)
889-921,955-987,1021-1119
165
98.86%
GA-SVM
(85 characteristic wavelengths)
899,897,890,894,1076,977,1060,968,967,1105,1098,1070,893,1043,1056,1061,1113,1084,1059,1082,1079,1069,1107,1117,959,1038,1088,1109,1081,1094,973,1046,1089,979,970,972,1077,901,971,1096,1106,1050,1083,964,1052,916,1051,1103,1022,1072,1041,1080,1042,980,913,975,1044,987,958,984,1023,978,1090,1045,1071,1024,963,919,966,1101,905,1104,896,1078,1028,921,1055,1031,1027,1073,889,904,1119,1118,1048
85
99.14%
Conclusions
The study selected the characteristic spectral ranges and wavelengths in the whole spectral range NIRS (460-1800nm) with GA-SVM, and built the recognition models of navel orange contaminated by different concentration pesticide.
Online since: May 2012
Authors: Xiao Jian Chen, Yong Pan
Tab. 2 Composition matrix
Composition matrixa
Composition
1
2
3
4
Per capita available land resources
-.516
.446
-.481
.091
Per capita water resources available
.494
-.430
.071
.694
Atmospheric environmental capacity
.673
.505
-.192
-.471
Water environmental capacity
.597
-.685
.032
-.086
Ecological sensitivity
-.080
-.394
.730
-.280
Ecological importance
-.829
.022
.140
.484
Geopolitical dominance
-.363
.429
.675
.015
Traffic access sexual
.944
-.126
-.133
.126
The total economy
.354
.666
.540
-.004
Economic growth rate
.584
.424
.169
.435
Per capita revenue
.467
.716
-.114
.213
Service level
.802
.043
.049
-.093
The quality of workers
.896
-.088
.107
.067
Extraction Method: Principal Component.
a. extracted four ingredients.
Online since: November 2010
Authors: Hong Chen, Ji Biao Zhou, Yao Wu, Hui Fang Zhu, Yan Yong Guo
OD distribution in Ming dynasty city walls traffic
OD
1
2
3
4
5
6
7
8
1
0
2768
1827
884
3673
1626
991
721
2
3308
0
2215
1250
1186
2735
1245
824
3
1725
2100
0
2250
973
1026
2201
1776
4
973
1132
2372
0
673
1123
1556
1982
5
2724
1200
1003
806
0
2231
1230
894
6
1522
2561
1127
1530
1792
0
2200
1003
7
896
1622
2145
1358
1158
2315
0
2531
8
689
991
1562
1838
1000
1100
2256
0
Tab. 2. assignment results
Road Name
Traffic Flow[pcu]
Road Name
Traffic Flow[pcu]
Bei Da Avenue
1740
NanXin Road
961
Da Dao Jie Road
1957
QiaoZhiKou Road
848
Dong Da Avenue
1104
TianShuiJing Road
961
East 5th Road
1740
West Road
1251
DongXin Road
961
XiHuaMen Road
2408
DuanLiuMen Road
1740
XiWu Road
1407
HePing Road
1407
XiXin Road
1957
South Road
1740
HongGuang Road
1407
NanGuangJie Road
1407
BoLin Road
961
LianHu Road
1957
JieFang Road
1407
5.2 The Determination of Traffic Individual Space-Time Consumption
5.2.1 Critical Distance Headway and Speed
Using statistical software SPSS calibration