Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: January 2026
Authors: Ke Gang Wang
Phase coarsening is a material processing driven by a reduction of interfacial energy in materials, and in turn, makes microstructures in material evolve.
From Eq. 1 and the data sets of average radii of particles against coarsening time from phase-field simulations, the scaling exponent, m, has been determined at different volume factions.
The values of scaling exponent decreases from 3 to 2 with volume fractions from 0.9 to 0.986, and the data sets in Fig.1 indicates a trend that m is a function of VV in the range of VV=0.90 and VV=0.986.
Some microgravity experimental data were published in papers [12].
From Eq. 1 and the data sets of average radii of particles against coarsening time from phase-field simulations, the scaling exponent, m, has been determined at different volume factions.
The values of scaling exponent decreases from 3 to 2 with volume fractions from 0.9 to 0.986, and the data sets in Fig.1 indicates a trend that m is a function of VV in the range of VV=0.90 and VV=0.986.
Some microgravity experimental data were published in papers [12].
Online since: August 2013
Authors: Jian Bin Zhang, Lu Sha Jiang, Bei Li
The imitative effects of bearing stiffness without pre-tightening force are shown in Fig.4, where (a) is linear imitative result and (b) is imitative error of data node.
Signal measured by acceleration sensor on the spindle will be transferred to data acquisition device, then to the computer.
With this software, data will be analyzed to get the spindle modal.
The experiment method is as follows: divide the spindle into 5 equal parts, and install four acceleration sensors in this division points homogeneously, then the hammer knocks on a fixed point on one end of the spindle several times, the generating signal is transferred by accelerating sensor, deal this signal with filtering, noise reduction and charge amplification before transferred to the computer, finally, with the modal analysis software, modal analysis is conducted.
Signal measured by acceleration sensor on the spindle will be transferred to data acquisition device, then to the computer.
With this software, data will be analyzed to get the spindle modal.
The experiment method is as follows: divide the spindle into 5 equal parts, and install four acceleration sensors in this division points homogeneously, then the hammer knocks on a fixed point on one end of the spindle several times, the generating signal is transferred by accelerating sensor, deal this signal with filtering, noise reduction and charge amplification before transferred to the computer, finally, with the modal analysis software, modal analysis is conducted.
Online since: February 2015
Authors: Anastasya Timofeeva, Stepan Yusin, E.A. Maximovskiy, Arina Ukhina, Alexander Shibaev, Ksenya Dyukova, Alexander Bannov
Therefore, according to DSC data the temperature range of the thermal exfoliation was chosen as 250-350°C.
The matrix of the experimental parameters and data obtained are shown in Table 2.
Capacitance of the samples obtained using different experimental conditions Number of the experi-ment x1 x2 x3 Capacitance y3, [F/g]* code Heating tempera-ture Tmax, [°C] code Heating rate, [°C/min] code Exposure time, [min] Sample #1 Sample #2 1 + 350 - 5 - 5 17 37 2 + 350 + 15 + 55 4 4 3 - 250 + 15 - 5 129 99 4 - 250 - 5 + 55 86 105 * - data obtained at scanning rate of 2 mV/s As can be seen, the regression equation for the change in capacitance varies significantly.
Ruoff, Stable aqueous dispersions of graphitic nanoplatelets via the reduction of exfoliated graphite oxide in the presence of poly(sodium 4-styrenesulfonate), J.
The matrix of the experimental parameters and data obtained are shown in Table 2.
Capacitance of the samples obtained using different experimental conditions Number of the experi-ment x1 x2 x3 Capacitance y3, [F/g]* code Heating tempera-ture Tmax, [°C] code Heating rate, [°C/min] code Exposure time, [min] Sample #1 Sample #2 1 + 350 - 5 - 5 17 37 2 + 350 + 15 + 55 4 4 3 - 250 + 15 - 5 129 99 4 - 250 - 5 + 55 86 105 * - data obtained at scanning rate of 2 mV/s As can be seen, the regression equation for the change in capacitance varies significantly.
Ruoff, Stable aqueous dispersions of graphitic nanoplatelets via the reduction of exfoliated graphite oxide in the presence of poly(sodium 4-styrenesulfonate), J.
Influence on Red Long-Lasting Phosphorescence due to Different Doping Concentrations of ZnGa2O4:Cr3+
Online since: September 2013
Authors: Qing Qiu, Zi Ran Liu, Rui Xia Zhong, Jian Quan Qi, Xiao Yan Zhang
Finally, compared with the standard data of JCPDS No.38-1420, all the diffraction peaks are assigned to the phase of ZnGa2O4 and no characteristic peaks of the Cr2O3 are observed.
Table 1 The fitting data according to experimental decay curves in Fig 4 and Equation (1) Samples A1 τ1 [s] A2 τ2 [s] λem ZnGa2O4: 0% Cr3+ 1127 5 358 70 λem=510 nm ZnGa2O4: 0% Cr3+ 61 5 19 60 ZnGa2O4: 1% Cr3+ 15 7 6 93 λem=694 nm ZnGa2O4: 2% Cr3+ 36 7 15 97 ZnGa2O4: 3% Cr3+ 254 7 94 80 ZnGa2O4: 4% Cr3+ 150 6 56 77 ZnGa2O4: 5% Cr3+ 45 6 17 86 For further discussion of the afterglow mechanism, the afterglow decay curve of each sample in Fig. 3 was tested respectively as shown in Fig. 4.
The fitting data are listed in Table 1.
In the process of afterglow, due to the effect of concentration quenching, the effective Cr3+ concentration is reduced, leading to the reduction of the electron trap GaZn°(Cr3+) concentration, so the afterglow intensity decreases as well.
Table 1 The fitting data according to experimental decay curves in Fig 4 and Equation (1) Samples A1 τ1 [s] A2 τ2 [s] λem ZnGa2O4: 0% Cr3+ 1127 5 358 70 λem=510 nm ZnGa2O4: 0% Cr3+ 61 5 19 60 ZnGa2O4: 1% Cr3+ 15 7 6 93 λem=694 nm ZnGa2O4: 2% Cr3+ 36 7 15 97 ZnGa2O4: 3% Cr3+ 254 7 94 80 ZnGa2O4: 4% Cr3+ 150 6 56 77 ZnGa2O4: 5% Cr3+ 45 6 17 86 For further discussion of the afterglow mechanism, the afterglow decay curve of each sample in Fig. 3 was tested respectively as shown in Fig. 4.
The fitting data are listed in Table 1.
In the process of afterglow, due to the effect of concentration quenching, the effective Cr3+ concentration is reduced, leading to the reduction of the electron trap GaZn°(Cr3+) concentration, so the afterglow intensity decreases as well.
Online since: May 2014
Authors: S. Sinthop, S. Patumraj, S. Kanokpanont
Data are expressed as mean ± standard deviations.
The crosslinking degree was calculated from the reduction of free –NH2 groups of materials.
This might due to the higher differences of amino groups before and after crosslink process(data are not shown here).
The data obtained from these experiments was currently used as a model scaffold for in vitro three dimentional cell cultures.
The crosslinking degree was calculated from the reduction of free –NH2 groups of materials.
This might due to the higher differences of amino groups before and after crosslink process(data are not shown here).
The data obtained from these experiments was currently used as a model scaffold for in vitro three dimentional cell cultures.
Online since: December 2014
Authors: Ying Chun Li, Guo Sheng Hu, Chao Wang
By study on the rheological performance of polymers, not only the optimal condition for process providing the foundation for design parameter but also it is obtained that essential data about the structural and molecular parameters[1~4].
Then after compaction and kept under the temperature for 5min, constant load is applied to squeeze the composites out of the capillary, with data about temperature and rate recorded automatically by electronic recorder. 1.5 Data analysis method Shearing stress :; Apparent shear rate :; Non-Newtonian index :; Shearing rate :; Apparent viscosityηa:, where Dp is the value of pressure difference of the capillary (Pa); R is the radius of capillary (mm); L is the length of capillary (mm); Q stands for the volume rate of flow (mm3•s-1).
The stronger the shearing stress, the more molecular chains are unwrapped and the more reduction in apparent viscousity.
Then after compaction and kept under the temperature for 5min, constant load is applied to squeeze the composites out of the capillary, with data about temperature and rate recorded automatically by electronic recorder. 1.5 Data analysis method Shearing stress :; Apparent shear rate :; Non-Newtonian index :; Shearing rate :; Apparent viscosityηa:, where Dp is the value of pressure difference of the capillary (Pa); R is the radius of capillary (mm); L is the length of capillary (mm); Q stands for the volume rate of flow (mm3•s-1).
The stronger the shearing stress, the more molecular chains are unwrapped and the more reduction in apparent viscousity.
Online since: October 2006
Authors: Gye Chun Cho, Min Su Cha, Sung Won Lee, Young Jong Sim
Although the rock mass assessment is attempted using seismic data, the effect of joint conditions
on the wave velocity is poorly understood.
Data reduction.
This will improve the classification of a rock mass using in situ seismic data.
Data reduction.
This will improve the classification of a rock mass using in situ seismic data.
Online since: January 2013
Authors: Mei Hua Huang, Zong Fang Tian, Hui Huang
Fig. 1a showed the UV–vis absorption spectra of the polymers in solution and thin films, and the corresponding data were summarized in Table 2.
Table 2 Optical properties and electrochemical data of the polymers.
(3) Electrochemical properties The electrochemical properties of the polymers were investigated by cyclic voltammetry (CV) and shown in Fig. 2 to estimate the redox behavior of the polymers and estimate the highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) energy levels, and the corresponding are collected in Table 2.The onset potentials for oxidation (Eox) and reduction (Ered) of the polymers were measured by CV, where SCE electrode was used as the reference electrode, and the HOMO and LUMO energy levels and electrochemical bandgaps (Eg) of polymers were calculated with the following equations [9].
As a result, the PCEs for the three polymers are in the order of P1 > P2 > P3, and the corresponding data is 0.64 %, 0.58 %, 0.07 %.
Table 2 Optical properties and electrochemical data of the polymers.
(3) Electrochemical properties The electrochemical properties of the polymers were investigated by cyclic voltammetry (CV) and shown in Fig. 2 to estimate the redox behavior of the polymers and estimate the highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) energy levels, and the corresponding are collected in Table 2.The onset potentials for oxidation (Eox) and reduction (Ered) of the polymers were measured by CV, where SCE electrode was used as the reference electrode, and the HOMO and LUMO energy levels and electrochemical bandgaps (Eg) of polymers were calculated with the following equations [9].
As a result, the PCEs for the three polymers are in the order of P1 > P2 > P3, and the corresponding data is 0.64 %, 0.58 %, 0.07 %.
Online since: June 2018
Authors: Grigory Ivanovich Yakovlev, Grigory Nikolaevich Pervushin, Alsu Khamatova, Vadim Khozin
However, the quantitative ratio of minerals in slag is not sufficient for a significant reduction of the setting time, because in aluminate cement its setting and strength is achieved due to the interaction of water and low-basic calcium aluminates which leads to the formation of calcium hydroalumates and the disengagement of aluminum hydroxide [6–8].
The comparative data of strength and setting time tests for the mixtures of different compositions are given in Table 3.
Compared properties of modified mortars Item number Mineral components, % Chemical admixture1 Water demand Setting time Compressive strength, MPa Cement Steel-making slag Gypsum1 start finish 1st day 7th day 28th day Without admixtures 1 70 30 15 – 0,29 4’08” 4’50” 12,6 31,3 57,0 Without admixtures with milling 2 70 30 5 – 0,29 2’39” 3’50” 18,9 74,8 102,5 3 70 30 10 0,29 2’10” 2’45” 20,5 51,9 73,3 4 70 30 15 0,29 2’05” 2’35” 10,8 50,8 69,3 Plasticizing admixtures 5 70 30 15 SP-1, 0,5% 0,27 4’24” 5’40” 18,1 49,5 65,1 6 70 30 15 SP-1, 0,7% 0,26 5’24” 7’00” 11,3 50,0 64,3 7 70 30 15 Melflux 2651F, 0,3% 0,24 4’50” 5’10” 24,9 45,5 61,5 Hardening accelerators 8 70 30 15 Lithium carbonate, 3% 0,30 4’01” 5’25” 23,1 38,8 47,5 9 70 30 15 Potassium sulphate, 2% 0,29 3’05” 4’40” 16,5 38,3 47,5 1 The content of gypsum and chemical additives is shown as % from the total weight of cement and steel-making slag; According to the data in Table 3, we see that the plasticizer Melflux 2651F being added
Analyzing the data of Table 3, we can also conclude that grinding had a favorable effect not only on the setting time, but also on the strength, which is predetermined by the reduced content of gypsum during the mechanoactivation of the composition.
The comparative data of strength and setting time tests for the mixtures of different compositions are given in Table 3.
Compared properties of modified mortars Item number Mineral components, % Chemical admixture1 Water demand Setting time Compressive strength, MPa Cement Steel-making slag Gypsum1 start finish 1st day 7th day 28th day Without admixtures 1 70 30 15 – 0,29 4’08” 4’50” 12,6 31,3 57,0 Without admixtures with milling 2 70 30 5 – 0,29 2’39” 3’50” 18,9 74,8 102,5 3 70 30 10 0,29 2’10” 2’45” 20,5 51,9 73,3 4 70 30 15 0,29 2’05” 2’35” 10,8 50,8 69,3 Plasticizing admixtures 5 70 30 15 SP-1, 0,5% 0,27 4’24” 5’40” 18,1 49,5 65,1 6 70 30 15 SP-1, 0,7% 0,26 5’24” 7’00” 11,3 50,0 64,3 7 70 30 15 Melflux 2651F, 0,3% 0,24 4’50” 5’10” 24,9 45,5 61,5 Hardening accelerators 8 70 30 15 Lithium carbonate, 3% 0,30 4’01” 5’25” 23,1 38,8 47,5 9 70 30 15 Potassium sulphate, 2% 0,29 3’05” 4’40” 16,5 38,3 47,5 1 The content of gypsum and chemical additives is shown as % from the total weight of cement and steel-making slag; According to the data in Table 3, we see that the plasticizer Melflux 2651F being added
Analyzing the data of Table 3, we can also conclude that grinding had a favorable effect not only on the setting time, but also on the strength, which is predetermined by the reduced content of gypsum during the mechanoactivation of the composition.
Online since: February 2014
Authors: Qadir Bakhsh, Muhammad Sharif, Abdul Sattar
In industries, an established system must trade off between the involved fixed costs for advanced equipments and the reduction of the variable costs for energy consumption [2].
Generally, the commands used by CNC system are G codes, which contain incremental or absolute position data of each axis, spindle speed, feed rate and other information [3].
RFID technology collects data about a certain item or product by the use of electromagnetic waves without any physical interaction with the data label [7].
Generally, the commands used by CNC system are G codes, which contain incremental or absolute position data of each axis, spindle speed, feed rate and other information [3].
RFID technology collects data about a certain item or product by the use of electromagnetic waves without any physical interaction with the data label [7].