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Online since: February 2022
Authors: Anton Sergeevich Kaygorodov, Sergey Vladimirovich Zayats
This can be done by the fabrication of metal-matrix composite (MMC) materials (hardened with particles, whiskers, fibers or layers) [3-6] or/and fine-grained materials [7].
In both cases the increase of mechanical properties is observed, but a number of factors restrain further improvement of material characteristics: the problem of wettability and uniform mixing of phases; high cost and complexity; insufficient elaboration of technologies for combining components [8].
To obtain a fine-grained structure one has to solve two problems: (a) - fabrication of the weakly agglomerated nanosized initial powders and (b) - effective overcoming of interparticle friction forces during consolidation.
In a number of experiments, a controlled oxygen supply with a flow rate of 0.17-1 cm3/s was used.
The numbers show the amount of the oxide phase in the corresponding composites in weight percent.
In both cases the increase of mechanical properties is observed, but a number of factors restrain further improvement of material characteristics: the problem of wettability and uniform mixing of phases; high cost and complexity; insufficient elaboration of technologies for combining components [8].
To obtain a fine-grained structure one has to solve two problems: (a) - fabrication of the weakly agglomerated nanosized initial powders and (b) - effective overcoming of interparticle friction forces during consolidation.
In a number of experiments, a controlled oxygen supply with a flow rate of 0.17-1 cm3/s was used.
The numbers show the amount of the oxide phase in the corresponding composites in weight percent.
Online since: May 2011
Authors: Si Bo Ding
(Liu [5])An uncertain variable is a measurable function from an uncertainty space (,,) to the set of real numbers, i.e., for any Borel set B of real numbers, the set is an event.
(Liu [5]) The uncertainty distribution Φ of an uncertain variable is defined by for any real number .
Repeat the second to sixth steps a given number of cycles.
Acknowledgment This work was supported by Soft Science Research of China State Administration of Grain Grant No.72 , Humanities and Social Sciences Research of Henan Province Grant No. 2009-QN-023 and Talents Cultivation Fund of Henan University of Technology Grant No. 2009BS023.
(Liu [5]) The uncertainty distribution Φ of an uncertain variable is defined by for any real number .
Repeat the second to sixth steps a given number of cycles.
Acknowledgment This work was supported by Soft Science Research of China State Administration of Grain Grant No.72 , Humanities and Social Sciences Research of Henan Province Grant No. 2009-QN-023 and Talents Cultivation Fund of Henan University of Technology Grant No. 2009BS023.
Online since: December 2010
Authors: Wen Jie Fan, Fang Liu
Table 1 Samples serial number and their picture
Number
1#
2#
3#
4#
5#
Interface
planar structure
v-groove
u-groove
Ring groove
Ring claw-tooth
picture
In the drilling process, there are two critical temperatures 350℃ and 750℃ for the PDC tooth thermal wear.
Table 2 Test result of PDC impact resistance at normal temperature Samples number Interface structure Heating temperature(℃) Impact frequency Total impact energy 1# planar structure 20 20 78.4 2# v-groove 20 45 176.4 3# T-groove 20 70 274.4 4# Ring groove 20 90 352.8 5# Ring claw-tooth 20 130 509.6 Table 3 Test result of impact resistance of PDC heated Samples number Interface structure Heating temperature(℃) Impact frequency Total impact energy 1# planar structure 750 15 58.8 2# v-groove 750 37 145.0 3# T-groove 750 60 235.2 4# Ring groove 750 77 301.8 5# Ring claw-tooth 750 118 462.6 Fig.2 shows the abrasion ratio of different interface structure for PDC in 20°C and 750°C,Fig.3 shows the impact resistance performance of different interface structure for PDC in 20°C and 750°C.
Beside, most of crystalline grains in the diamond layer have combined into the D-D structure.
Table 2 Test result of PDC impact resistance at normal temperature Samples number Interface structure Heating temperature(℃) Impact frequency Total impact energy 1# planar structure 20 20 78.4 2# v-groove 20 45 176.4 3# T-groove 20 70 274.4 4# Ring groove 20 90 352.8 5# Ring claw-tooth 20 130 509.6 Table 3 Test result of impact resistance of PDC heated Samples number Interface structure Heating temperature(℃) Impact frequency Total impact energy 1# planar structure 750 15 58.8 2# v-groove 750 37 145.0 3# T-groove 750 60 235.2 4# Ring groove 750 77 301.8 5# Ring claw-tooth 750 118 462.6 Fig.2 shows the abrasion ratio of different interface structure for PDC in 20°C and 750°C,Fig.3 shows the impact resistance performance of different interface structure for PDC in 20°C and 750°C.
Beside, most of crystalline grains in the diamond layer have combined into the D-D structure.
Online since: September 2015
Authors: Václav Veselý, Michal Štafa, Jakub Sobek
Concrete mixes denoted as R3, R4, R5, and R6 containing aggregate grains of size ranges 0–4 mm, 0–8 mm, 0–16 mm, and 0–22 mm were tested (details on material characteristics listed in [6]).
Applied model was formed by cells with minimum diameter of 2 mm (see Fig. 2b) with the number of nodes about to 60,000 and number of springs about to 500,000.
Lower number of fracture events against FyDiK3D numerical model is due to FE mesh size – unfortunately when the smaller size is used, there is the greater trouble with evaluating.
But absolute value of the number of events cannot be compared – there is necessity to compare relative one.
Applied model was formed by cells with minimum diameter of 2 mm (see Fig. 2b) with the number of nodes about to 60,000 and number of springs about to 500,000.
Lower number of fracture events against FyDiK3D numerical model is due to FE mesh size – unfortunately when the smaller size is used, there is the greater trouble with evaluating.
But absolute value of the number of events cannot be compared – there is necessity to compare relative one.
Online since: January 2005
Authors: András Roósz, Zsolt Veres
The number and angle of small angle grain boundaries determine the mozaicity.
In this image the number of neutrons reaching the given point is shown by the intensity of the point.
The lighter is the point, the number of impacts is the greater.
The elements of A matrix are given by the numbers of neutrons reaching the given point during the measurement period.
In this image the number of neutrons reaching the given point is shown by the intensity of the point.
The lighter is the point, the number of impacts is the greater.
The elements of A matrix are given by the numbers of neutrons reaching the given point during the measurement period.
Online since: March 2008
Authors: Zhong Guang Wang, Shijie Zhu, F.H. Yuan, Z.W. Huang, F.G. Wang
The number
of cracks initiated on the coating surface is the most under IF and the least under IP TMF.
Tests were stopped after a defined number of cycles and the crack density in substrate was determined by SEM.
Fine-grained MCrAlY coating shows ductile deformation behavior and low strength at high temperatures and brittle behavior and high strength below a certain temperature (called ductile-to-brittle transition Coating temperature, DBTT).
Micro-crack density in M963 substrate versus number of cycles in OP TMF for Δε mech/2=0.35%.
The number of cracks initiated on the coating surface is the most under IF and the least under IP TMF.
Tests were stopped after a defined number of cycles and the crack density in substrate was determined by SEM.
Fine-grained MCrAlY coating shows ductile deformation behavior and low strength at high temperatures and brittle behavior and high strength below a certain temperature (called ductile-to-brittle transition Coating temperature, DBTT).
Micro-crack density in M963 substrate versus number of cycles in OP TMF for Δε mech/2=0.35%.
The number of cracks initiated on the coating surface is the most under IF and the least under IP TMF.
Online since: June 2013
Authors: Tomasz Zientarski, Dariusz Chocyk
In particular, Pao et.al. [5] employed molecular dynamic simulations to analyze the stress during the deposition on a substrate intersected by the grain boundaries.
The number of deposited atoms was measured in the units of a complete monolayer (ML), where one monolayer consists of atoms of the substrate.
The scattered X-ray intensity is calculated from the equation: where N is the number of simulated in-plane points, M is the number of atoms in the i-th column, is the X-ray wavelength, is the atomic scattering factor, and is the distance of the considered atom from the reference level.
As the number of deposited atoms increase, the stress tends to compression direction.
The number of deposited atoms was measured in the units of a complete monolayer (ML), where one monolayer consists of atoms of the substrate.
The scattered X-ray intensity is calculated from the equation: where N is the number of simulated in-plane points, M is the number of atoms in the i-th column, is the X-ray wavelength, is the atomic scattering factor, and is the distance of the considered atom from the reference level.
As the number of deposited atoms increase, the stress tends to compression direction.
Online since: August 2013
Authors: Li Ling, Jun Wang, Chang Fu Qiao, Shou Yi Yin, Chang Liang Xu, Ren Jun Cheng
Introduction
Wireless sensor network is a distributed network system consisting of a large number of tiny sensor nodes.
Due to the limited resources of wireless sensor nodes, the number of messages stored in the MessagePool is limited, so the MessagePool will overflow and packet loss occurs.
TACK message length fcf dsn dest src Times 1Byte 2Byte 1Byte 2Byte 2Byte 1Byte While Nnumber of MessagePool, the node returns TACK, and the Timers of TACK is equal to zero.
From Fig.6 we know that the delay increases with the increase of number of forward node, and the delay in NCTP increases faster than that in CTP.
Furthermore, the system has been deployed in the monitoring system of grain reserves, and it turns out to be reliable.
Due to the limited resources of wireless sensor nodes, the number of messages stored in the MessagePool is limited, so the MessagePool will overflow and packet loss occurs.
TACK message length fcf dsn dest src Times 1Byte 2Byte 1Byte 2Byte 2Byte 1Byte While N
From Fig.6 we know that the delay increases with the increase of number of forward node, and the delay in NCTP increases faster than that in CTP.
Furthermore, the system has been deployed in the monitoring system of grain reserves, and it turns out to be reliable.
Online since: September 2013
Authors: Wei Cao, Zheng Hua Wang, Chuan Fu Xu
is the reference Reynolds number.
Considering CUDA programming features, we design the fine grain data parallel algorithm based on cells.
Table. 1 Experimental Environment GPU CPU Units per node 1 2 Cores per node 448 12 Type NVIDIA M2050 Intel Xeon X5670 Memory about 3GB 48GB Software stack CUDA 4.0 Intel C++/Fortran Compiler 11.1 Release Kylin Operating System 4.1 Numerical Experiments As the test case, the solution for the steady flow past a NACA0012 at a Reynolds number of 100 and a Mach number of 0.2 was obtained.
As the result, the pressure contours are shown in Fig. 4. 4.2 Performance on Single GPU The flow around ellipsoid at a Reynolds number of and with the angle of attack of is chosen for performance measurements.
Considering CUDA programming features, we design the fine grain data parallel algorithm based on cells.
Table. 1 Experimental Environment GPU CPU Units per node 1 2 Cores per node 448 12 Type NVIDIA M2050 Intel Xeon X5670 Memory about 3GB 48GB Software stack CUDA 4.0 Intel C++/Fortran Compiler 11.1 Release Kylin Operating System 4.1 Numerical Experiments As the test case, the solution for the steady flow past a NACA0012 at a Reynolds number of 100 and a Mach number of 0.2 was obtained.
As the result, the pressure contours are shown in Fig. 4. 4.2 Performance on Single GPU The flow around ellipsoid at a Reynolds number of and with the angle of attack of is chosen for performance measurements.
Online since: February 2006
Authors: Tsuneo Suzuki, Hisayuki Suematsu, Tadachika Nakayama, Koichi Niihara, Seigo Nishimura, Y. Hayashi, Wei Hua Jiang, A. Yamazaki, K. Seki
The stepping motor was run by the motor control unit, in which a rotation speed,
the number of discharges and a delay time for charging to the capacitor bank had been inputted by
the PC.
After the number of discharges decided by PC was completed, nanosized powder in the chamber was evacuated with N2 gas by the rotary pump and captured in the collection chamber.
In images, grains were observed.
The particle size distribution is broadened and the particle diameters are increased with the increase in the number of discharges.
The distribution was broadened with the increase in the number of discharges, because of condensation of the particles or deposition of plasma.
After the number of discharges decided by PC was completed, nanosized powder in the chamber was evacuated with N2 gas by the rotary pump and captured in the collection chamber.
In images, grains were observed.
The particle size distribution is broadened and the particle diameters are increased with the increase in the number of discharges.
The distribution was broadened with the increase in the number of discharges, because of condensation of the particles or deposition of plasma.