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In contrast, the formation of coarse precipitates at grain boundaries was reported for an elevated tool temperature of 350 °C.
With decreasing hardness level to 153 HV in the transition zone at location (ii), a higher number of coarse particles can be seen.
For location (iv), the microstructure show a very high amount of coarse lath-shaped precipitates and a significantly decreased number of fine precipitates.
The coarse particles dominate the microstructure while the total number of precipitates decreases.
Raabe, Segregation assisted grain boundary precipitation in a model Al-Zn-Mg-Cu alloy, Acta Materialia. 156 (2018) 318–329. doi:10.1016/j.actamat.2018.07.003

Introduction A large number of ceramic materials have been proposed as solid oxide ion conductors for application in devices such as solid oxide fuel cells (SOFC) and oxygen sensors.
The aim of the present contribution is to extend this analysis to the role played by the average A and/or B cations size in the electrical properties of a large number of highly disordered pyrochlores.
One can observe the characteristic semicircles found in this kind of plots for polycrystalline ionic conductors: one due to the bulk response, at the highest frequencies, and a second one at the lowest frequencies which is related to the grain boundary response.
These fits are shown in figure 2 as solid lines, which show excellent agreement with data points except at the lowest frequencies in M '(ω), where the influence of a grain boundary contribution is present in the data (see figure 1 and previous paragraph) but not considered in the fits.
We have used the ionic radii given by Shannon [19], and for this analysis we have considered a common coordination number of 8 for both positions 16c and 16d, instead of 8 and 6 respectively as in ideal or ordered pyrochlores, which is reasonable since all of them are present in a highly disordered anion sublattice.

Hou et al. reported the influence of cyclic stress ratio, number of loading and ambient stress on the strain of composite cement soil under cyclic loading[4].
They have a fine-grained structure and are calcareous cementitious.
Finally, a sine wave was applied to the dynamic cyclic loads and the number of cycles was set to be 500 000.
After a certain numbers of cycles, the dynamic strain increases in a slow rate.
(a) Dynamic strain–number of cycles (b) Dynamic stress–strain Fig. 3 Hysteresis curve of the combined sample with good contact (a) Dynamic strain–number of cycles (b) Dynamic stress–strain Fig. 4 Hysteresis curve of the combined sample containing weak layer (a) Dynamic strain–number of cycles (b) Dynamic stress–strain Fig. 5 Hysteresis curve of the combined sample containing weak layer and water Fig. 6 shows the changes in the cumulative plastic strain against the number of cycles under different contact states.

But when number of pass exceeds 4 times, the surface roughness of this kind of composites will not drop but slightly rise.
Therefore, for such composites, both burnishing force and number of pass have their optimal zones.
From the experiment, burnishing force between 350450N and number of pass between 23 are the optimum parameters.
Because NbC has small grain size and a good compatibility with iron matrix, its strengthening mechanism mainly depends on Orowan strengthening [8,9].
Surface roughness significantly reduces with the decrease of feed rate or the increase of number of pass.

Results and analysis Influence of frequency on dynamic pore pressure and strain Figure 4~7 show the dynamic pore pressure ratio and strain’s variation with number of cycles.
For express the variation of pore pressure and strain under small vibration time, number of cycles use logarithmic coordinate.
For a given number of cycles, low frequency results high pore pressure and strain, the frequency is lower and the pore pressure and strain is larger.
Fig.4 Effect of frequency on Number of dynamic pore pressure ratio under s3c = 25kPa Fig.5 Effect of frequency on Number of dynamic pore pressure ratio under s3c = 50kPa Fig.6 Effect of frequency on dynamic strain under s3c = 25kPa Fig.7 Effect of frequency on dynamic strain under s3c = 50kPa Influence of frequency on dynamic strength Dynamic strength refers to the dynamic stress under a specific failure strain with a certain number of cycles[10].
In the test, it use axial strain up to 10% as the failure criterion of soil, and use the curve of cyclic stress ratio and number of cycles of failure to represent change of the dynamic strength.

This means that the structure and the parameters are not predefined (e.g. number of processing elements, number of layers etc.) but they are data driven in such a way that the capacity of the model will match the complexity of the data.
This, however, may be problematic due to the curse of dimensionality: as the number of variables under consideration increases so does the number of possible solutions but exponentially.
Each feature is given a feature cost (a number between 0 and 1)
The type of steel used is conventional and high permeability grain oriented electrical steel.
Schölkopf “Support Vector Machines and Kernel Methods The new Generation of Learning Machines”, AI Magazine, Vol. 23, Number 3, pp. 31-41, 2002

Sample number 1 was sample before nitrocarburization.
Samples number 2, 3 and 4 were samples after nitrocarburization at temperatures of 7000C, 8000C, and 9000C for 3 hours, respectively.
Figures 2- 6 shows matrixes of perlite, austenite, ferrite, and grain boundary.
Dutka, Journal of super-hard materials, 1063-4576, Vol. 30, Number 5, 2008

Introduction Calcium phosphate-based powders, granules and coatings are currently used for a number of dental and skeletal prosthetic applications due to their excellent biocompatibility and osteointegration properties [1].
First water and nitrate are reduced at the cathode surface producing hydrogen gas, nitrite and hydroxide ions, as shown in the following: 2 H2O + 2e - ⇔ H2 ↑ + 2 OH (1) NO3- + H2O + 2e - ⇔ NO2 + 2 OH - (2) Due to Faraday`s laws: Fz M m eNz M m tIQ a ⋅⋅=⋅⋅⋅=⋅= , � Fz MtI m ⋅⋅⋅ = (3) where Q is the charge, I the current, t the deposition time, m the mass, M the molecular mass, z the charge number, Na the Avogadro constant, e the electrical charge of an electron and F the Faraday constant (F = 9.648*104 C/mol), the amount of OH ions on the surface of the cathode can be controlled by controlling current and deposition time.
Wave Number / cm -1 DCPD 0 200 400 600 800 1000 1200 1400 D M B αααα Intensity / a.u.
The microstructure of electrodeposited TCP could be controlled by adjusting deposition parameters and thus nucleation and grain growth conditions.

Introduction The wireless sensor network is a self-organizing network system that with large numbers of cheap and tiny sensor nodes deployed in monitoring areas which integrated with sensor, processor and wireless communication module.
Design of System Software A.Software Design of sink node After initialization of sink node, set up the sensor network at first, and send control commands information to sensor nodes, and set the sensor nodes correspondingly, such as the number and sleep time set and battery power of sensor nodes.
Table 1 Consumption current in different working state of sensor nodes (unit: mA) Node number Dormancy Work Send Receive 1 0.04 5.2 16.3 16.5 2 0.05 5.3 16.3 16.6 3 0.04 5.2 16.3 16.5 Set Node 1 as an example to estimate the working time of the sensor nodes, set the sampling time interval to 10s, then the duty cycle of sensor node is 10s, assume that the send state of CC1110 was 20ms receiving state was 30ms, sampling time was 20ms within 10s, the rest time was in sleep state, then average current in a working cycle of the sensor nodes is: in the working cycle between 0 and 10， The average value of I calculated is 0.132mA, therefore, the continuous working time of the sensor mode is： （month） That is to say, the sensor mode can continue working in a year since the battery is fully-charged，and thus, the requirements and our goal of the wireless sensor mode with low power needed is achieved.
It's widely used in temperature test, temperature monitoring of grain storage and other fields.

The system rotates with an eccentricity of 22.5mm for fixed numbers of revolutions 100, 150, 600, 750, 1500, 2100, 6000 and 12000, corresponding to different abrasion stages.
The determination of the abrasion class, based on the lowest number of revolutions, inducing an apparent visual variation in gloss, was also determined.
Material Steel ball Ø 5 [mm] Steel ball Ø 3 [mm] Steel ball Ø 2 [mm] Steel ball Ø 1 [mm] Fused Al2O3* Distilled water [ml] [g] 70.0 52.5 43.75 8.75 3.0 20 * grain size F80 ISO 8486 - 1986 Results and Discussion Table 2 reports the Vickers hardness of the samples, measured at the specified indentation loads.
After the tests at the lower numbers of revolutions, corresponding to Table 2.