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Online since: February 2013
Authors: Shao Ping Zhang
Step 4: auxiliary iterative localization
If the number of anchors within two hops of an unknown node is less than 3, the unknown node cannot be localized directly.
IF the number of anchor nodes≥3 THEN 13.
IF the number of beacons(include anchor nodes and localized nodes) ≥3 THEN 27.
The number of anchors is 20; we take the latter 20 nodes as anchors.
Srivastava: Dynamic fine-grained localization in ad-hoc networks of sensors, in ACM MOBICOM(2001) 166-179
IF the number of anchor nodes≥3 THEN 13.
IF the number of beacons(include anchor nodes and localized nodes) ≥3 THEN 27.
The number of anchors is 20; we take the latter 20 nodes as anchors.
Srivastava: Dynamic fine-grained localization in ad-hoc networks of sensors, in ACM MOBICOM(2001) 166-179
Online since: June 2014
Authors: Arman Sikirman, Jagannathan Krishnan
Fourier Transform Infrared (FTIR) Spectroscoy (model of Perkin Elmer Spectrum One) was used to determine the specific absorption peak wave number in the range of 4000 to 500 cm-1 with 4 cm-1 resolution.
The characteristic peaks present for all the samples were in good agreement with standard XRD library data (JCPDS file number 21-1272).
However, the sample calcined at 600oC (1.0% N, Fe-TiO2-600) perfectly fitted with the JCPDS file number according to their 2θ value as shown in Table 1.
It was found that the increase in calcination temperature increased the grain size which probably might be due to significant effect of codoping of nitrogen and ferrum on the particle size of TiO2 as discussed by Hu et al. [4].
Summary table of XRD analysis Sample 1.0 % N, Fe-TiO2-450 1.0 % N, Fe-TiO2-500 1.0 % N, Fe-TiO2-550 1.0 % N, Fe-TiO2-600 2θ (o) 25.281a 25.261 25.320 25.320 Crystal Size, nm 13 15 18 19 a fitting well with JCPDS file number 21-1272 FE-SEM.
The characteristic peaks present for all the samples were in good agreement with standard XRD library data (JCPDS file number 21-1272).
However, the sample calcined at 600oC (1.0% N, Fe-TiO2-600) perfectly fitted with the JCPDS file number according to their 2θ value as shown in Table 1.
It was found that the increase in calcination temperature increased the grain size which probably might be due to significant effect of codoping of nitrogen and ferrum on the particle size of TiO2 as discussed by Hu et al. [4].
Summary table of XRD analysis Sample 1.0 % N, Fe-TiO2-450 1.0 % N, Fe-TiO2-500 1.0 % N, Fe-TiO2-550 1.0 % N, Fe-TiO2-600 2θ (o) 25.281a 25.261 25.320 25.320 Crystal Size, nm 13 15 18 19 a fitting well with JCPDS file number 21-1272 FE-SEM.
Online since: May 2012
Authors: Bao Yun Zhao, Ke Shan Zhu, Dong Yan Liu
Notably, Professor Mueller [1] used a solid cube composed of a large number of identical small cubes to simulate the three sets of discontinuity.
Similar efforts had been repeated in many thesis’s and research reports in quite a number of the countries.
There are a number of back analysis techniques with a rich literature.
Strength of jointed rock mass There exist a large number of classification systems of rock masses for engineering purposes.
As Goodman [4] emphasized that rocks are composed of crystals and grains in a fabric that includes cracks and fissures, understandably, rather large samples are required to obtain statistically complete collections of all the components that influence the strength and deformation.
Similar efforts had been repeated in many thesis’s and research reports in quite a number of the countries.
There are a number of back analysis techniques with a rich literature.
Strength of jointed rock mass There exist a large number of classification systems of rock masses for engineering purposes.
As Goodman [4] emphasized that rocks are composed of crystals and grains in a fabric that includes cracks and fissures, understandably, rather large samples are required to obtain statistically complete collections of all the components that influence the strength and deformation.
Common Metal Die Attachment for SiC Power Devices Operated in an Extended Junction Temperature Range
Online since: May 2012
Authors: Shinji Sato, Kohei Matsui, Yusuke Zushi, Satoshi Tanimoto, Masato Takamori, Takashi Iseki, Yoshinori Murakami
We can see from this micrograph that the Zn-Al solder rigidly joined the SiC die to the Cu foil without any cracking and that an off-eutectoid structure containing big hcp-Zn grains formed in the solder layer, as expected from the Zn-Al binary phase diagram [6].
Fig. 6 The results of a thermal cycle test between –40°C and 200°C where the average shear strength is plotted as a function of the number of cycles.
Figure 6 shows the results of the thermal cycle tests, with the change in the average shear strength plotted as a function of the number of cycles.
Although the shear strength gradually declined with an increasing number of cycles, our attachment maintained a sufficient and acceptable strength level of 78 MPa even after 1500 cycles.
A considerable number of cracks and their length can be seen in the Zn-Al solder layer.
Fig. 6 The results of a thermal cycle test between –40°C and 200°C where the average shear strength is plotted as a function of the number of cycles.
Figure 6 shows the results of the thermal cycle tests, with the change in the average shear strength plotted as a function of the number of cycles.
Although the shear strength gradually declined with an increasing number of cycles, our attachment maintained a sufficient and acceptable strength level of 78 MPa even after 1500 cycles.
A considerable number of cracks and their length can be seen in the Zn-Al solder layer.
Online since: May 2004
Authors: M.José Matos, M. Fátima Vaz, Jorge Cruz Fernandes, Fernando A. Costa Oliveira
The quality of
information is related to the possibility of focusing within a certain depth of field, which provides
acquiring images in such a way that cells approach the volumic dimension; the higher accuracy of
data is reflected in the lower standard deviations, for a similar number of measurements.
When the images are acquired by an electron microscope the grey levels represent either surface topography (secondary electron images) or phases with different mean atomic numbers (backscattered electron images); therefore electronic signals make it possible to discriminate a wider range of materials and/or features within a sample [3].
For this purpose, several parallel lines (equally spaced by 0.35 mm) were superposed on the micrographs and the number of cell walls intersected by unit length, PL, was determined.
Most cells possess faces with five edges and a number of closed faces, suggesting that they can be classified as semiclosed-cell type foams.
Vander Voort: Grain Size Measurement, in Practical applications of quantitative metallography, Ed.
When the images are acquired by an electron microscope the grey levels represent either surface topography (secondary electron images) or phases with different mean atomic numbers (backscattered electron images); therefore electronic signals make it possible to discriminate a wider range of materials and/or features within a sample [3].
For this purpose, several parallel lines (equally spaced by 0.35 mm) were superposed on the micrographs and the number of cell walls intersected by unit length, PL, was determined.
Most cells possess faces with five edges and a number of closed faces, suggesting that they can be classified as semiclosed-cell type foams.
Vander Voort: Grain Size Measurement, in Practical applications of quantitative metallography, Ed.
Online since: May 2016
Authors: Rudolf Kawalla, Vladimir Serebryany, Evgeniy V. Aryshenskii, S.V. Rushchits
This increases the number of intermetallic particles.
The hot rolling scheme of the experimental ingot in a 5-stand continuous group № a mill number Engineering strain in % strain rate in 1/s The time rolling passes in s 1 40.2 3.1 10.9 2 39.2 6.7 6.4 3 31.1 12.1 4.1 4 47.6 30.0 2.433 5 28.9 59.0 To assess the changes and the metal texture during the process of rolling, the rolled workpiece was stopped and cooled rapidly during rolling in a continuous group.
The orientation distribution function (ODF) was calculated by the measured pole figures, presenting in a form of a superposition a large number (2000) of standard distributions with the same little scattering.
This difference can be explained by a large number of dispersoid particles formed due to the presence of zirconium poorly soluble in aluminum.
These particles can significantly reduce the growth rate of the new grain boundaries.
The hot rolling scheme of the experimental ingot in a 5-stand continuous group № a mill number Engineering strain in % strain rate in 1/s The time rolling passes in s 1 40.2 3.1 10.9 2 39.2 6.7 6.4 3 31.1 12.1 4.1 4 47.6 30.0 2.433 5 28.9 59.0 To assess the changes and the metal texture during the process of rolling, the rolled workpiece was stopped and cooled rapidly during rolling in a continuous group.
The orientation distribution function (ODF) was calculated by the measured pole figures, presenting in a form of a superposition a large number (2000) of standard distributions with the same little scattering.
This difference can be explained by a large number of dispersoid particles formed due to the presence of zirconium poorly soluble in aluminum.
These particles can significantly reduce the growth rate of the new grain boundaries.
Online since: October 2010
Authors: Yan Feng Wang, Jiang Yu, Chang Ming Qiu
After water toughening treatment at 1050℃, the organization of the manganese steel is even austenitic grains, the hardness reaches to 170 ~ 230HB.
The emerging of a large number of high-density twins decrease the casting defects such as gas holes and so on.
(a) (b) (c) (d) (e) (f) Fig.1 Typical microstructure of high manganese steel before and after asynchronous rolling a) structure with water toughening treatment b) with 8.51% cold rolling c) with 15.25% cold rolling d) with 18.83% cold rolling e) with 22.48% cold rolling f) with29.63% cold rolling It can be seen from Figure 2 that: in the small deformation case, a lot of flat deformation zone and deformation twins appear in the organization, dislocation configuration performance is the flat band; with deformation increase, the twins number increase significantly; when the deformation reaches a certain level, the organization appears stacking faults and twins crossing fracture or serious distortion and crystal division.
With the increase of deformation, a large number of high density deformation twins appear.
(3) After asynchronous rolling, a large number of high-density twins appear in the organization of the high manganese steel, which not only decrease gas holes and other casting defects, but also greatly improved the hardening performance.
The emerging of a large number of high-density twins decrease the casting defects such as gas holes and so on.
(a) (b) (c) (d) (e) (f) Fig.1 Typical microstructure of high manganese steel before and after asynchronous rolling a) structure with water toughening treatment b) with 8.51% cold rolling c) with 15.25% cold rolling d) with 18.83% cold rolling e) with 22.48% cold rolling f) with29.63% cold rolling It can be seen from Figure 2 that: in the small deformation case, a lot of flat deformation zone and deformation twins appear in the organization, dislocation configuration performance is the flat band; with deformation increase, the twins number increase significantly; when the deformation reaches a certain level, the organization appears stacking faults and twins crossing fracture or serious distortion and crystal division.
With the increase of deformation, a large number of high density deformation twins appear.
(3) After asynchronous rolling, a large number of high-density twins appear in the organization of the high manganese steel, which not only decrease gas holes and other casting defects, but also greatly improved the hardening performance.
Online since: September 2013
Authors: Gu Hua Li, Da Zhen Xu, Zhuang Zhi Liao, Hai Wei Yan
Table 2-1 Cumulative triage and fineness modulus of manufactured sand sand
Number
Cumulative triage(%)
MX
granite sand
4.75
2.36
1.18
0.6
0.3
0.15
2.462
4.45
20.64
34.74
43.90
73.15
85.08
Table 2-2 Performance index of manufactured sand sand
Number
Fineness
modulus
Loose bulk density(kg/m³)
Voidage
Bulk density(kg/m³)
Performance density(g/cm³)
Value of methylene blue
Crusher dust content/%
granite sand
2.67
1450
43%
1740
2.68
1.0
12.7
Fig. 2-1 Grading curve of granite sand
(5)Fine Aggregate.
Table 2-3 Mix calculation of high performance manufactured sand concrete Number Water cement ratio Water consumption Cb Cement Coal ash Silica fume Sand ratio Sand Cobble Water reducer C2 0.55 165 300 180 120 42% 801 1098 0.72% C4 0.47 157 334 200 134 41% 766 1120 0.86% C6 0.42 150 357 214 143 39% 741 1139 0.94% C8 0.38 145 382 229 153 38% 716 1152 1.00% C6 0.42 150 357 214 143 39% 741 1139 1.16% C8 0.38 145 382 229 153 38% 716 1152 1.08% C10 0.3 143 477 286 191 35% 617 1157 0.87% C12 0.3 143 477 286 191 35% 617 1157 1.99% D1 0.36 143 397 238 159 41% 764 1104 1.04% D2 0.32 141 441 264 176 39% 720 1109 0.94% D3 0.28 139 496 298 199 37% 664 1114 0.83% D4 0.26 137 527 316 211 36% 633 1120 0.78% E1 0.36 143 397 258 119 20 41% 769 1104 1.04% E2 0.32 141 441 286 132 22 40% 726 1109 0.94% E3 0.28 139 496 323 149 25 38% 670 1114 0.83% E4 0.26 137 527 343 158 26 36% 639 1120 0.78% F1 0.36 143 397 397 46% 882 1036 1.83% F2 0.32 141 441 441 44% 829 1055 2.27% F3 0.28 139 496
Table 3-1 Test data of carbonation depth Number Water-binder ratio Admixture type 56d's strength Carbonation depth 3d 7d 14d 28d C2 0.55 Ⅱgrade ash of 40% 33.7 6.7 9.2 14.9 21.3 C4 0.47 34.6 6.3 10.6 14.4 15.6 C6 0.42 45.7 6.0 8.3 9.3 11.5 C8 0.38 56.0 3.2 3.6 5.3 7.3 C10 0.3 60.3 3.6 3.2 6.0 6.5 C12 0.26 65.7 2.0 3.2 3.4 5.2 D1 0.36 Ⅰgrade ash of 40% 55.0 1.6 3.3 3.4 6.2 D2 0.32 73.6 0.3 1.9 2.4 3.4 D3 0.28 79.6 0.2 1.1 1.1 1.4 D4 0.26 70.6 0.0 0.7 0.8 1.0 E1 0.36 Ⅰgrade ash of 30%+silica fume of 5% 64.9 0.4 1.9 2.2 3.0 E2 0.32 66.3 0.0 0.7 09 1.4 E3 0.28 77.9 0.0 0.0 0.0 0.0 E4 0.26 81.8 0.0 0.0 0.0 0.0 F1 0.36 No admixture 69.9 0.0 0.0 0.0 0.0 F2 0.32 78.0 0.0 0.0 0.0 0.0 F3 0.28 71.5 0.0 0.0 0.0 0.0 F4 0.26 76.5 0.0 0.0 0.0 0.0 Test Result Analysis.
According to figure 3-1, figure 3-2 and figure 3-3, when water cement ratio is smaller, carbonation resistance is better, because carbonation speed is mainly associated with compactness of concrete, with the decrease of water-cement ratio and increase of cementations material consumption, the concrete is more close-grained.
Table 2-3 Mix calculation of high performance manufactured sand concrete Number Water cement ratio Water consumption Cb Cement Coal ash Silica fume Sand ratio Sand Cobble Water reducer C2 0.55 165 300 180 120 42% 801 1098 0.72% C4 0.47 157 334 200 134 41% 766 1120 0.86% C6 0.42 150 357 214 143 39% 741 1139 0.94% C8 0.38 145 382 229 153 38% 716 1152 1.00% C6 0.42 150 357 214 143 39% 741 1139 1.16% C8 0.38 145 382 229 153 38% 716 1152 1.08% C10 0.3 143 477 286 191 35% 617 1157 0.87% C12 0.3 143 477 286 191 35% 617 1157 1.99% D1 0.36 143 397 238 159 41% 764 1104 1.04% D2 0.32 141 441 264 176 39% 720 1109 0.94% D3 0.28 139 496 298 199 37% 664 1114 0.83% D4 0.26 137 527 316 211 36% 633 1120 0.78% E1 0.36 143 397 258 119 20 41% 769 1104 1.04% E2 0.32 141 441 286 132 22 40% 726 1109 0.94% E3 0.28 139 496 323 149 25 38% 670 1114 0.83% E4 0.26 137 527 343 158 26 36% 639 1120 0.78% F1 0.36 143 397 397 46% 882 1036 1.83% F2 0.32 141 441 441 44% 829 1055 2.27% F3 0.28 139 496
Table 3-1 Test data of carbonation depth Number Water-binder ratio Admixture type 56d's strength Carbonation depth 3d 7d 14d 28d C2 0.55 Ⅱgrade ash of 40% 33.7 6.7 9.2 14.9 21.3 C4 0.47 34.6 6.3 10.6 14.4 15.6 C6 0.42 45.7 6.0 8.3 9.3 11.5 C8 0.38 56.0 3.2 3.6 5.3 7.3 C10 0.3 60.3 3.6 3.2 6.0 6.5 C12 0.26 65.7 2.0 3.2 3.4 5.2 D1 0.36 Ⅰgrade ash of 40% 55.0 1.6 3.3 3.4 6.2 D2 0.32 73.6 0.3 1.9 2.4 3.4 D3 0.28 79.6 0.2 1.1 1.1 1.4 D4 0.26 70.6 0.0 0.7 0.8 1.0 E1 0.36 Ⅰgrade ash of 30%+silica fume of 5% 64.9 0.4 1.9 2.2 3.0 E2 0.32 66.3 0.0 0.7 09 1.4 E3 0.28 77.9 0.0 0.0 0.0 0.0 E4 0.26 81.8 0.0 0.0 0.0 0.0 F1 0.36 No admixture 69.9 0.0 0.0 0.0 0.0 F2 0.32 78.0 0.0 0.0 0.0 0.0 F3 0.28 71.5 0.0 0.0 0.0 0.0 F4 0.26 76.5 0.0 0.0 0.0 0.0 Test Result Analysis.
According to figure 3-1, figure 3-2 and figure 3-3, when water cement ratio is smaller, carbonation resistance is better, because carbonation speed is mainly associated with compactness of concrete, with the decrease of water-cement ratio and increase of cementations material consumption, the concrete is more close-grained.
Online since: February 2012
Authors: Xiao Bo Yao, Li Yang, Mu Qing Qiu
Introduction
In recent decades, the development of modern agriculture in China has made remarkable achievements, 22% of the world basically solved the problem of feeding the population[1], but in order to improve grain yield, chemical fertilizers and pesticides in the production process into a rapid increase in agricultural non-point source pollution is getting serious pollution of the water environment is particularly serious, it is estimated that China's water pollution in about 1/3 from agricultural non-point source pollution.
Pesticides and the loss of one hand, a large number of application resulted in ecological imbalance, on the other hand the soil, surface water, groundwater, air pollution and so on, can directly lead to excessive pesticide residues in agricultural products, harm to human health.
However, manure used in our country has not been reasonable, according to the survey, only 49% of the manure to be used, the rest were either randomly stacked, or sewage directly into the form of ditches, sinks into the river, causing a large number of nutrients, of rural non-point source pollution is the main pollutant causing eutrophication.
With the rapid economic development in rural areas, sewage and solid waste pollution, the number is growing, and traditional agricultural solid waste re-use patterns and gradually weakening, a lot of vegetables, straw and other garbage is dumped at random, littered, the waste directly in the rain washed into the river, increasing the deterioration of ecological environment in rural areas, the formation of a more serious point source pollution.
In addition, the rice-frog can also significantly increase the number of natural enemies of pests, the increase of the natural enemies also promoted the pest control of the field[10].
Pesticides and the loss of one hand, a large number of application resulted in ecological imbalance, on the other hand the soil, surface water, groundwater, air pollution and so on, can directly lead to excessive pesticide residues in agricultural products, harm to human health.
However, manure used in our country has not been reasonable, according to the survey, only 49% of the manure to be used, the rest were either randomly stacked, or sewage directly into the form of ditches, sinks into the river, causing a large number of nutrients, of rural non-point source pollution is the main pollutant causing eutrophication.
With the rapid economic development in rural areas, sewage and solid waste pollution, the number is growing, and traditional agricultural solid waste re-use patterns and gradually weakening, a lot of vegetables, straw and other garbage is dumped at random, littered, the waste directly in the rain washed into the river, increasing the deterioration of ecological environment in rural areas, the formation of a more serious point source pollution.
In addition, the rice-frog can also significantly increase the number of natural enemies of pests, the increase of the natural enemies also promoted the pest control of the field[10].
Online since: August 2011
Authors: Qing Hua Song, Xing Ai
For the end mills shown in Fig. 1, a generalized expression of tooth engagement factor can be written as
(2)
where, ap is the axial depth of cut; N is the number of flutes; φe is the engaged angle between cutter and workpiece, which depends on the radial depth of cut and diameter of cutter and expresses the cutter rotating angle from the enter cutting to exit cutting, and φe=cos-1(1-2ae/D); ae is the radial depth of cut; p-k(z)=pN-k(z); k=0, 1, 2, …; i=1, 2, …, N; Nf=1, 2, 3, …; pi(z) is the pitch between the ith and (i+1)th flutes, which is given as
(3)
The tooth engagement factor (Eq. 2), which is different from the result proposed in [6] and completely determined by the cutting geometry and the angular position of cutting flute.
The cutter material is ultrafine grain solid carbide.
Diameter D(mm) Flutes number N Helix angle η(degree) Length LT(mm) Overhang L1(mm) Flute length L2(mm) 1 20 4 35 124 70 25 2 20 4 38/35/38/35 124 70 25 3* 20 4 35 124 70 25 4* 20 4 38/35/38/35 124 70 25 * The angles between end flutes are 87°/89°/91°/93°, respectively.
Results and Analysis From the viewpoint of tooth engagement factor, based on the above analyses known, increasing the helix angle and the number of teeth, the number of teeth engaged in cutting process and the contact length of cutting edge increase, and the milling stability is improved.
The cutter material is ultrafine grain solid carbide.
Diameter D(mm) Flutes number N Helix angle η(degree) Length LT(mm) Overhang L1(mm) Flute length L2(mm) 1 20 4 35 124 70 25 2 20 4 38/35/38/35 124 70 25 3* 20 4 35 124 70 25 4* 20 4 38/35/38/35 124 70 25 * The angles between end flutes are 87°/89°/91°/93°, respectively.
Results and Analysis From the viewpoint of tooth engagement factor, based on the above analyses known, increasing the helix angle and the number of teeth, the number of teeth engaged in cutting process and the contact length of cutting edge increase, and the milling stability is improved.