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It is possible to observe, Fig. 2, that the grain size and grain boundaries of the Al2O3 substrate influenced the growth of ZnO nanorods arrays.
As the H2 concentration increase, the number of electrons transferred from the gas molecules to nanostructures surface increase and the electrical resistance of the sensor is lower.

Introduction It is impossible for people to live without grain and oil, and much attention is being paid to research into grain and oil processing and packaging machinery.
Suitable proportion of fast feed volume to fine feed and ratio of working station number for each cycle should be carefully considered

Study also shows that particular alloy element type and right content are also important for high boron steel casting to improve the harden ability and hardening capacity, alloy elements can refine grain and improve its strength and toughness at the same time.
This, it may deoxidize, fix nitrogen, purify crystal boundary, refine grain, etc., and may achieve the purposes improving strength and toughness of high boron steel casting finally.
A number of boride and WC distributed in the matrix, microstructure is fine and distributes uniformly.

Introduction At temperatures T ≤ ambient temperature (AT) a large number of technically relevant 18/10 chromium/nickel austenitic steels exhibit γ-austenite in a metastable state.
Afterwards grain sizes of 64 µm (AISI 304), 43 µm (AISI 321) and 34 µm (AISI 348) were measured.
Padmanabhan, Influence of martensite formation and grain size on room temperature low-cycle fatigue behaviour of AISI 304LN austenitic stainless steel, Mat.

The microstructure of the extruded sample (Fig. 1) is formed by polyedric grains of supersaturated solution of zirconium, RE and other alloying elements in magnesium.
The average grain size is 14 µm.
By increasing of electrodeposition time, increase in number of new OCP units together with their gradual growth on the surface of the substrate is seen, that causes increment of current density about 0.190 mA.cm-2 per minute of electrodeposition.

During straightening, this crack was caused by tensile stress, it was proper crack of niobium-containing steel, NbC and AlN were separated out from γ grain boundary, stress concentration was related to proeutectoid ferrite that was separated out from γ grain boundary.
FeO was the major ingredient in crack, and a small number of special elements of cast powder, such as Ca, Mg, Al, Si, Mn, S, F, Na.

Results and Discussion After PLM, a dispersed microstructure was formed in the LMZ of the standard AA2024 alloy, characterized by a large number of crystallization cracks located mainly along the grain boundaries and segregation (Fig.1), which arose due to partial evaporation of Mg at a high laser power.
In the LMZ, excess phases with yttrium were formed along the grain boundaries.

Experimental Procedures In this investigation atomized pure spherical aluminum powder (0.23%Fe, 0.12%Si, 0.016Zn, 0.01%Cu) with an average grain size of 45 micron were used for the matrix.
The composites containing 20 vol. % of pure SiCp particles (greater than 99%) with grain mean size of 15 micron were made by direct explosive compaction in an axisymetric assembly as shown schematically in Figure 1.
In addition, a number of studies conducted on commerical aluminum based composite systems revealed a decrease in ductility with an increase in crack initiation (stress-accumulation) sites such as amount of SiC particulates and/or porosity levels[16,22], thus supporting the theoretical hypotheses of the role played by porosity as the crack initiation sites.

The estimate value of grain size is around 1.02 µm for x = 0.00 and 1.01 µm for x = 0.05.
It is found that the estimate value of grain size for all sample slightly different but not much change with increased in Ga concentration.
X = 0.05 I = 5 mA I = 1 mA X = 0.00 I = 5 mA I = 1 mA Fig. 4: Resistivity-temperature plot of La0.85Ag0.15Mn1-xGaxO3 for sample x = 0.00 and x = 0.05 with measurement applied current of 1mA and 5mA The increased in applied current caused resistivity to drop and increase in conductivity, indicate that the number of charge carrier increased.

With information technology developing rapidly, remote sensing has been applied in evaluating and early warning of illegal logging.[1] But this method which uses inconsecutive satellite image to protect forest in coarse-grained pattern is not suitable for early fine-grained and real-time detection of deforestation.[2,3] Wireless sensing networks (WSN) consists of several sensing nodes which gather information from the surrounding environment and communicate with each other to send the measured data to a base station for further processing.[4] Because of its characteristics, such as lower-cost, lower-power, wireless communication and small size, WSN has been applied widely in forest fire detection and environment monitoring.
Table 1 Neighbors Table Node number X Y Z D 0058 x1 y1 z1 d1 0026 x2 y2 z2 d2 … … … … … 0012 xi yi zi di The ranging error ei is defined like Eq.6.