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Online since: July 2014
Authors: Li Jie Ma, Yu Liang Wang, Jin Yu Zhang
Liquid and plastic limit
number
WL(%)
Wp(%)
Ip(%)
1
34.5
20.5
14
2
34.5
20.5
14
3
35.3
20.9
14.4
4
34.8
20.7
14.1
Experiment results show that the saline soil sample liquid limit range is 34.5% ~ 34.5%, the plastic limit range between 20.5% and 20.9%, and plasticity index range is 14.0% ~ 14.4%.
For liquid limit and plastic index, according to 《The highway soil test procedures》 (JTGE40-2007), As well as fine-grained soil plasticity chart analysis that the saline soil with low liquid limit silty clay.
Shear strength index number C(kpa) (0) 1 18 9.6 2 19 10.0 3 17 10.1 4 11 8.5 From the above test results we can see that the cohesion of the saline soil range is 11kPa-18kPa, internal friction angle range between 8.5o-10.1o.
For liquid limit and plastic index, according to 《The highway soil test procedures》 (JTGE40-2007), As well as fine-grained soil plasticity chart analysis that the saline soil with low liquid limit silty clay.
Shear strength index number C(kpa) (0) 1 18 9.6 2 19 10.0 3 17 10.1 4 11 8.5 From the above test results we can see that the cohesion of the saline soil range is 11kPa-18kPa, internal friction angle range between 8.5o-10.1o.
Online since: February 2014
Authors: Roslan Abd-Shukor, Muhammad Hafiz
All samples showed a similar microstructure of long and thin plate-like grains.
ACKNOWLEDGEMENT This research was supported by the Ministry of Higher Education of Malaysia under research grant number ERGS/1/2011/STG/UKM/01/25 and Universiti Kebangsaan Malaysia under grant number UKM-DLP-2011-018 REFERENCES [1] A.
ACKNOWLEDGEMENT This research was supported by the Ministry of Higher Education of Malaysia under research grant number ERGS/1/2011/STG/UKM/01/25 and Universiti Kebangsaan Malaysia under grant number UKM-DLP-2011-018 REFERENCES [1] A.
Online since: November 2012
Authors: Zhao Liang Jiang, Yu Mei Liu, Wen Ping Liu, Zhi Li
Acknowledgements
The authors acknowledge support by the NSFC under Grant Number 51175304, Research Award Foundation for Outstanding Young Scientist in Shandong Province under Grant Number BS2009ZZ014, and Key Laboratory of High-efficiency and Clean Mechanical Manufacture at Shandong University, Ministry of Education.
Modeling of Grain Refinement in Aluminum and Copper Subjected to Cutting[J].
Modeling of Grain Refinement in Aluminum and Copper Subjected to Cutting[J].
Online since: February 2014
Authors: Xun Wang, Zhi Li Pei, Jian Hong Qi, Li Sha Liu, Qing Hu Wang, Ming Yang Jiang
Reuters-21578 corpus distribution table
Category number
Category name
Text number
C1
Eam
3762
C2
ACQ
2334
C3
MoneyFx
694
C4
Grain
561
C5
Crude
591
C6
Trade
511
C7
Interest
495
C8
Wheat
294
C9
Ship
297
C10
Corn
247
Corpus preprocessing
This paper adopted the Chinese morphology system ICTCLA developed by Chinese Academy of Sciences to the text segment processing in corpus database.
The accuracy comparing figure based on KNN classifier It is observed by figure above that the classification effect of DF method is better than that of MI, IG, when feature number is below 7000.
The classification accuracy of CHI method is better than that of MI, IG and DF when feature number is below 5000.
But that of DF method is better than that of MI, IGand CHI when feature number is above 5000.
The accuracy comparing figure based on KNN classifier It is observed by figure above that the classification effect of DF method is better than that of MI, IG, when feature number is below 7000.
The classification accuracy of CHI method is better than that of MI, IG and DF when feature number is below 5000.
But that of DF method is better than that of MI, IGand CHI when feature number is above 5000.
Online since: December 2012
Authors: John Mo, Song Lin Ding, Wen Cheng Pan
The grain size of CTB010 is 2 - 30 μm, the elastic modulus is 890-900 MPa, the hardness is 50 Gpa (8000 HV), the density is 4.12 g/cm3, and the thermal conductivity is 540 w/mk.
Fig.1 PCD tool for experiment Table 1 Geometrical parameters of cutting tools Tool number Front angle Cutting edge angle Clearance angle 1 1 6 8 2 1 8 12 3 1 10 14 4 2 6 12 5 2 8 14 6 2 10 8 7 4 6 14 8 4 8 8 9 4 10 12 Helix angle 10o To analyze the effects of front angle, clearance angle and cutting edge angle of the tool, the theory of orthogonal cutting was used.
Fig.2 Experimental system setup Table 2 Cutting forces (Unit: 600.6N/V) Tool number Fx Fy Fz Resultant 1 0.0645 0.0466 0.0251 0.0834 2 0.0814 0.0538 0.0263 0.101 3 0.0869 0.0524 0.0242 0.1043 4 0.0753 0.0521 0.0248 0.0948 5 0.0693 0.0512 0.0228 0.0891 6 0.0805 0.0475 0.0214 0.0959 7 0.0875 0.0503 0.0187 0.1026 8 0.0837 0.0527 0.0202 0.1009 9 0.0418 0.0276 0.0326 0.05 Assume Ⅰi, Ⅱj, Ⅲk are the sums of the three levels of a factor: · Front angles: Ⅰ1 represents resultant force when front angle is 1o; and Ⅱ1, Ⅲ1 represented the force when cutting speeds are 2o and 4o, respectively
Assume S1, S2 and S3 are the changes of three factors: (1) where: yi is the force of each test, n is the number of level replications (for this case, n = 3); m is the number of levels (here m = 3).
(2) where: t is the number of tests.
Fig.1 PCD tool for experiment Table 1 Geometrical parameters of cutting tools Tool number Front angle Cutting edge angle Clearance angle 1 1 6 8 2 1 8 12 3 1 10 14 4 2 6 12 5 2 8 14 6 2 10 8 7 4 6 14 8 4 8 8 9 4 10 12 Helix angle 10o To analyze the effects of front angle, clearance angle and cutting edge angle of the tool, the theory of orthogonal cutting was used.
Fig.2 Experimental system setup Table 2 Cutting forces (Unit: 600.6N/V) Tool number Fx Fy Fz Resultant 1 0.0645 0.0466 0.0251 0.0834 2 0.0814 0.0538 0.0263 0.101 3 0.0869 0.0524 0.0242 0.1043 4 0.0753 0.0521 0.0248 0.0948 5 0.0693 0.0512 0.0228 0.0891 6 0.0805 0.0475 0.0214 0.0959 7 0.0875 0.0503 0.0187 0.1026 8 0.0837 0.0527 0.0202 0.1009 9 0.0418 0.0276 0.0326 0.05 Assume Ⅰi, Ⅱj, Ⅲk are the sums of the three levels of a factor: · Front angles: Ⅰ1 represents resultant force when front angle is 1o; and Ⅱ1, Ⅲ1 represented the force when cutting speeds are 2o and 4o, respectively
Assume S1, S2 and S3 are the changes of three factors: (1) where: yi is the force of each test, n is the number of level replications (for this case, n = 3); m is the number of levels (here m = 3).
(2) where: t is the number of tests.
Online since: July 2011
Authors: Wei Qiang Wang, Jie Tang, Xiao Hui Ma, Meng Li Li
There are still a number of small cracks at the same axis, as shown in Fig.4.
As shown in Fig.11, there are a number of cracks in the surface of sample A, which are not continuous, no fork, basically parallel to the axial heat exchanger, extending to both sides.
A number of small cracks can be connected into a large crack.
In addition to a main crack, there are a number of small transgranular cracks.
Spiral plate microstructure is single-phase austenite grain, which is a normal 022Cr19Ni10 microstructure after solution treatment, transgranular cracks without bifurcation.
As shown in Fig.11, there are a number of cracks in the surface of sample A, which are not continuous, no fork, basically parallel to the axial heat exchanger, extending to both sides.
A number of small cracks can be connected into a large crack.
In addition to a main crack, there are a number of small transgranular cracks.
Spiral plate microstructure is single-phase austenite grain, which is a normal 022Cr19Ni10 microstructure after solution treatment, transgranular cracks without bifurcation.
Online since: April 2014
Authors: Yong Hong Liu, Yun Zhe Deng, Xi Shu Deng
Abrasive wear was tested by CETR UMT-3H friction testing machine, with conditions as: rotating speed of 65r/min, loading of 65N, time of 4 minutes, and grinding grain by 180 mesh sandpaper.
Then, abrasion loss after setting numbers of revolutions or test time was measured and recorded.
Large size of carbides will reduce the holding performance of the matrix, in addition, a large number of carbides will reduce the continuity of the matrix, thus weakening the holding capacity of the matrix[4].
Then, abrasion loss after setting numbers of revolutions or test time was measured and recorded.
Large size of carbides will reduce the holding performance of the matrix, in addition, a large number of carbides will reduce the continuity of the matrix, thus weakening the holding capacity of the matrix[4].
Online since: November 2013
Authors: Kristýna Klajmonová, Antonin Lokaj
Disruption of the sample was caused by exceeding of timber strength in tension perpendicular to the grains, but a block shear collapse was not observed.
There were achieved various number of loading cycles (3 – 120000).
There can be seen trend of the relationship between carrying capacity of the joint loaded by dynamic forces (Fdyn) and carrying capacity of the joint loaded statically (Fstat) – Frel - in dependence of number of loading cycles: (1) Fig. 5 Results of dynamic loading round timber joints tests During dynamic testing (by multicycling passing loading) smaller part (one third) of tested samples failed in different way in opposite to static tests – by block shear (see Fig. 6).
There were achieved various number of loading cycles (3 – 120000).
There can be seen trend of the relationship between carrying capacity of the joint loaded by dynamic forces (Fdyn) and carrying capacity of the joint loaded statically (Fstat) – Frel - in dependence of number of loading cycles: (1) Fig. 5 Results of dynamic loading round timber joints tests During dynamic testing (by multicycling passing loading) smaller part (one third) of tested samples failed in different way in opposite to static tests – by block shear (see Fig. 6).
Online since: March 2013
Authors: C.M. Choudhari, K.J. Padalkar, K.K. Dhumal, B.E. Narkhede, S.K. Mahajan
There are number of casting simulation softwareare developed and are used in foundry worldwide [1, 3-5].
Rajaduraib,“Simulation of casting solidification and its grain structure prediction using FEM”,Journal of Materials Processing Technology, Vol. 168, Issue 1, P 10–15, September 15, 2005
Pehlke, “Computer simulation of solidification processes—The evolution of a technology”, Metallurgical and Materials Transactions B, Vol. 33, p. 519-541, Number 4 (2002).
Rajaduraib,“Simulation of casting solidification and its grain structure prediction using FEM”,Journal of Materials Processing Technology, Vol. 168, Issue 1, P 10–15, September 15, 2005
Pehlke, “Computer simulation of solidification processes—The evolution of a technology”, Metallurgical and Materials Transactions B, Vol. 33, p. 519-541, Number 4 (2002).
Online since: April 2009
Authors: Xin Zhe Lan, Xiang Yang Chen, Chun Yang Bu, Xin Rui Zhao
In order to investigate the effects of evaporation rate of
molybdenum trioxide on the power size of ultra-fine molybdenum powder, the evaporation rate of
molybdenum trioxide was measured in different heat temperatures and time in the tubular electric
furnace prior to the preparation of ultra-fine grain molybdenum.
The particle size of superfine molybdenum powder can be calculated by the following formula [7]: 1 3 1 3 6 C M C D A � � π ρ ° ° = × = / / (1) Where D is the particle size, C0 is the concentration of molybdenum trioxide, � is the number of particles, M is the atomic weight of molybdenum, ρis the density of molybdenum.
In the present work, the number of nucleation centers was constant over the concentration range of molybdenum trioxide and the particle size of superfine molybdenum powder is proportional to the 1 3 3[MoO ]/ , which is consist with the experimental results mentioned above.
The particle size of superfine molybdenum powder can be calculated by the following formula [7]: 1 3 1 3 6 C M C D A � � π ρ ° ° = × = / / (1) Where D is the particle size, C0 is the concentration of molybdenum trioxide, � is the number of particles, M is the atomic weight of molybdenum, ρis the density of molybdenum.
In the present work, the number of nucleation centers was constant over the concentration range of molybdenum trioxide and the particle size of superfine molybdenum powder is proportional to the 1 3 3[MoO ]/ , which is consist with the experimental results mentioned above.