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Online since: July 2012
Authors: Wei Zhang, Jun Wen Chen, Yong Shen, Zhi Qing Yang, Shi Qing Xie, Sheng Chao Yang
Table 1 Compound of essential oils in different cultivars of A.tsao-ko fruit by GC-MS analysis
compounds
RI
Percentage(%)
Ellipse
Fusiform
Spherical
Conical
1
2-hexenal
860
-
0.01
2
2-n-butyl furan
894
0.06
0.10
3
heptanal
896
0.06
0.05
0.07
4
artemesia triene
923
0.07
0.07
5
α- thujene
931
0.10
6
α-pinene
939
0.82
2.84
3.28
1.82
7
β- thujene
976
0.03
2.91
0.07
8
β-pinene
981
1.55
2.14
1.77
6.61
9
α-phellandrene
1005
6.60
1.92
10.28
3.47
10
3-carene
1011
0.59
11
4-carene
1015
1.09
0.99
0.68
12
Terpinen
1020
0.07
13
ocimene
1023
1.48
0.77
14
β-phellandrene
1031
-
0.07
15
1,8-Cineole
1048
35.30
35.73
36.99
36.96
16
1,3,6-Octatriene
1056
0.10
17
2-octenal
1060
0.77
0.02
18
γ-terpinene
1062
2.13
2.17
2.44
2.15
19
Sabinenhydrate
1069
0.07
20
6-octenal,3,7-dimethyl
1153
0.16
21
β-terpineol
1160
0.03
0.10
22
α-Terpineol
1189
7.60
5.43
7.48
8.69
23
citral
1240
15.97
8.22
7.16
6.01
24
linalool
1260
0.30
0.44
0.97
25
cinnamaldehyde,beta-methyl
1285
Online since: December 2014
Authors: Jin Ying Li, Mei Qing Zhang, Chun Lian Zhang
SWOT analysis and strategic choice of Wind power market of Hebei province . science and technology management research, 2010 (8): 84 - 85
[2] Zhang Qiang, the northeast wind energy resources development and the development of wind power industry [J]. resources science, 2008 (6): 896-904
[3] gong de yong ,the discussion of Guizhou biomass energy status and Development Countermeasures, Economic Research Journal, 2010 (28)
Online since: May 2013
Authors: Zhi Yu Wu, Zhao Ying Ren, Shi Yue Wang, Xi Jie Yang
Fig.1 Specimen for Low Cycle Fatigue
Fig.2 Specimen for High Cycle Fatigue
Table 2 Mechanical Properties of 35CrMo Steel
Yield strength
/MPa
Tensile strength
/MPa
Section shrinkage
/%
Elongation
/%
Shear yield strength
/MPa
Shear strength
/MPa
Elastic Modulus
/GPa
734
896
65.24
17.5
318
601
204
Results and Analysis for Low Cycle Fatigue Test
Cyclic Hardening and Softening Properties.
Online since: August 2014
Authors: Xiao Yong Li, Bei Lei Zhao, Cun Yan Cui, Jing Peng Chen, Yun Chun Jiang, Xing Li
Table 4 Blast wave overpressure in two simulation
Z (m/kg1/3)
0.2
0.4
0.6
0.8
1
1.2
1.4
1.6
1.8
2
2.2
2.4
Distance (cm)
112
224
336
448
560
672
784
896
1008
1120
1232
1344
A
4.94
2.36
1.55
0.954
0.687
0.528
0.418
0.256
0.173
0.132
0.107
0.075
B
4.609
3.373
2.395
1.135
0.594
0.439
0.323
0.243
0.168
0.119
0.087
0.068
C
3.42
2.922
2.013
1.29
0.816
0.515
0.338
0.229
0.175
0.124
0.084
0.063
D
2.51
1.91
1.34
0.94
0.725
0.582
0.47
0.367
0.248
0.161
0.114
0.08
E
1.795
1.239
0.925
0.779
0.568
0.459
0.37
0.318
0.267
0.208
0.166
0.12
A1
4.548
3.236
1.962
1.35
1.019
0.806
0.626
0.486
0.331
0.223
0.152
0.079
B1
6.401
3.4
1.92
1.35
1.019
0.806
0.637
0.486
0.331
0.223
0.152
0.079
C1
4.851
2.606
1.474
1.03
0.809
0.642
0.513
0.411
0.319
0.24
0.187
0.122
D1
2.618
1.6
1.03
0.716
0.499
0.372
0.287
0.218
0.164
0.119
0.083
0.043
E1
1.726
1.1
0.844
0.621
0.423
0.276
0.176
0.109
0.081
0.064
0.051
0.027
Fig.6 Trend of q changes with distance
As shown in Fig.6, there is a great difference between two cases.