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In this article, The number of input layer’s neurons is equal to number of input parameters, but the output layer has only one neuron, namely concrete strength.
The number of hidden layer and its neurons decide the model’s superiority.
Best number of neurons in hidden layer should be between 3 ~ 13 [16].
Design of mixture ratio of pottery grain concrete[J].
Determining the number of BP neural network hidden layer units.

The residual stresses, average crystallite size and number of graphene layers were analyzed by Raman spectroscopy.
Many wrinkles intersect each other and form a number of localized wrinkle nodes.
So a larger grain boundary of graphene is obtained after the CMP surface treatment of SiC substrates.
Based on the relationship,number of graphene layers was obtained.
The number of graphene layers is 4-5 and 1-2, respectively.

The obtained results reveals that, less number of flutes is the main factor contributed towards fine surface roughness for this thermoplastic.
In the case of end mills, smaller clearance angles reduce the chip space for the same number of teeth.
A 10 mm diameter and 70 mm of total length micro grain carbide rod was used to fabricate the cutter according to design planned as depicted in Fig. 3.
Number of flute contributed as the main effect towards surface roughness as changing of level will give a dramatic changes of surface roughness.
Number of flutes is the most significant factor that affects the surface roughness value.

POFA was grained and passed through 75 µm sieve; a number of trial mixes were prepared using the Marshal Mix design procedure with 5% POFA to arrive at asphalt concrete mixtures that fulfill the Marshal criteria.

As is shown in Figure 4, nodes 1, 2, 3, 10, 11 and 12 are the test points of the hardness number of the base metal, and nodes 4, 5, 6, 7, 8 and 9 are the measurement points of the hardness number of the compact district HAZ of the welding lines.
(Fig. 6) 4 Mathematical Statistics of the Test Results The number of the test locus (front and back elevations)of the base metal is 864 in total; the number of the test locus (front and back elevations) of HAZ is 864 in total.
After we do the classified statistic of the front and back elevations of different node numbers, we get the mean value of the hardness of node 123 (base metal), the mean value of the hardness of node 456(HAZ), the mean value of the hardness of node 789(HAZ), the mean value of the hardness of nodes 10, 11, 12 (base metal), and the total number of the mean value of the hardness of the base metal is 288, the total number of the mean value of the hardness of the HAZ is 288. 4.1 The Confirmation of the Reasonable Value Range of the Hardness of the Metal for Test There have been a large number of researches done to the hardness and tensile strength of metallic material at home and abroad and the empirical correlations are got, for example, Rm=3.3HB (1), in which Rm is the strength of extension.
Frequency Map of the Hardness Number of the Base Metal Figure 8.
Frequency Map of the Hardness Number of HAZ Figure 9.

High-energy ball-milling in hexane medium was employed to prepare noble Zr-based bulk metallic glasses (BMGs) alloy of three different nominal compositions Zr47Be23Ni15Ti15, Zr50Be20Ni15Ti15 and Zr52Be18Ni15Ti15, numbers indicate at.%).
A number of papers [1,3-5] on the study of metallic glasses show the amorphous state is altered by structural relaxation and crystallization processes.
Samples milled for 50 and 300 h contain a large fraction of Zr grains, as can be seen from the FCC Zr peaks, which are high in intensity and exceed the halo in height (see Fig. 4(b and c)).
(i) a high number of, (ii) a large atomic size mismatch between and (iii) a high chemical affinity between the constituent elements.

After the "5.12" earthquake, there are a large number of loose solid produced by earthquake on the mountain, which leads to the soil’s strength loss in the earthquake disaster zones. and induces landslides and collapses easily in the heavy rainfall condition.
Mechanics parameters This study collects the soil samples(contain clay, gravel soil, etc.) whose maximum grain size is 5mm from the landslide of Erman mountain and study the strength parameters of the landslide soil in 2 days' rainfall with different moisture content.

Grain size is condensed, refined and compacted surface is smooth, harden and layer wearing than ground or honed surfaces [13].
When the number of passes increased, the surface roughness decreased.
The number of time the burnishing tool passes, the surface is subjected to hardness.
As number of tool passed many time, the circularity increased at low spindle rotation than at high rotational speed.
This was due to number of time tool passed.

Dang Van’s fatigue model The Dang Van fatigue criterion [6] is distinguished by mesoscopic (grain boundary) stress observation scale.
Pawliczek-Gasiak model It was indicated that material sensitivity on mean loading depends on the actual loading level defining different value of the destructive cycle’s number [9].
The effect of loading conditions and material sensitivity change on mean loading value, together with the number of destructive cycles for SJ355 steel are presented in [10, 13].
When determining the ψ factor, the change in its value is considered regarding the number N of cycles [10].
There were also presented models taking into account the different sensitivity of the material to mean loads, depending on the number of destructive cycles.

Around the deposited particle’s periphery (in the jetting region) the temperatures are significant, this lends itself to the presence of grain refinement at the periphery of sprayed particles and the propagation of dynamic recrystallization which is closely coupled with the thermal softening of the particle.
A number of studies [1-6] sought to understand the deformation sequences and the bonding mechanism associated with the CS technique.
Microstructure of the Al coating material (gray areas are single phase Al with limited porosity appearing as black areas) A cold spray sample presented herein was produced alongside a number of other specimens [24] by a Kinetic Metallization (KM).
The particle drag coefficient were calculated according to the local Reynolds number and Henderson’s correlation by evaluating the gas nozzle exit velocity (1025 m/s) based on the gas stagnation temperature (140°C), pressure (620 kPa), and the He gas thermodynamic properties using a 1-dimensional isentropic model.
Excessive temperatures, however, can lead to localized stress relaxation, grain refinement at the periphery of sprayed particles and the prorogation of dynamic recrystallization in the narrow band along the periphery which is closely coupled with the thermal softening of the particle.