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As a special group of composites, AMCs produced by ECAE (equal-channel angular extrusion) feature a very high strength due to a very fine-grained structure.
Table 1 Milling parameters for mechanical alloying of the composite filler Parameter Value Filling quantity 20 cm³ Number and diameter of milling balls 7 x Ø 20 mm + 5 x Ø 10 mm Atmosphere Argon Rotation speed 300 min -1 Milling time 8 min Pausing time 30 min Overall duration 2.5 h Fig. 1 Temperature-time regime of active brazing process for the formation of the interfacial reaction layer Fig. 2 SnAg3.5Ti3 with reinforcing SiC particles Fig. 3 Formation of interfacial reaction layer The formation of the intended reaction layer is proved by SEM observations (Fig. 2 and Fig. 3).

On the other hand, applications in hazardous locations include petrochemical and natural gas plants, while severe environment applications for induction motors include grain elevators, shredders, and equipment for coal plants.
A number of condition monitoring techniques for induction motors are available.
Dimensions of induction motor Dimensions Values Dimensions Values Number of poles 4 Width of stator teeth (Wts) 5 mm Number of slots 36 Width of stator slot (Wss) 5 mm Stator Inner Diameter (D) 119 mm Depth of stator core (dcs) 22 mm Stator Outer Diameter (D0) 203 mm Depth of stator slot (dss) 20 mm Stator Length 93 mm Length of Airgap 0.4 mm Number of turns per coil 59 Rotor Diameter 118 mm For most of the applications, it is sufficient to model a part of the entire crosssection of the induction motor.
Generated Meshes Fault Indicators The core loss of an induction motor depends on number of factors and one of the factors is the high frequency component of core loss.
where t product of the number of laminations and number of rotor teeth P1,t power loss in one lamination llam thickness of lamination lav average current path width Bn flux density value of the nth harmonic; fn frequency of the nth harmonic; B1 fundamental frequency flux density value the FE analysis calculates; f1 rotor frequency.

As production develops dynamically, there are a number of problems that cannot be addressed through traditional approaches.
Due to ultrafast crystallization the produced parts have ultra fine-grained or amorphous structure.
The main reason for this can be considered the choice of modes with a large number of hatching passes in the layer of part (hatch = 0.23 mm).
The number of layers of coating powder was determined based on the required sector filling thickness.
Thus, it was possible to deposit 321L metal powder using the LENS method with the least number of defects (Fig. 11).

A number of published papers is devoted to the heat treatment of Al-Ti sandwich laminates, aimed at reaching a relaxation of stresses caused by explosion welding.
Basic fatigue characteristics of the laminate were determined from the characteristic parameters of the loop, obtained at N/Nf = 0.5, where N is the current number of cycles and Nf - number of cycles until sample failure.
Graph of the change of the stress amplitude σa as a function of the number of cycles Nf To process the results of the test of hysteresis loop parameters (εac, εap and σa) fatigue strength corresponding to 0.5 Nf was introduced.
(3) Graph of fatigue life in logarithmic coordinates og ε-log 2Nf (Number of half-cycle reversals) is shown in Fig. 8.
The shape and dimensions of the recesses observed depend on the grain sizes and plastic properties of the material.

Table 1 The drying temperature of release agent and time Serial number 1-1 1-2 1-3 1-4 1-5 1-6 Temperature(˚C) 25 60 100 150 200 250 Time（min） 15 15 15 15 15 15 Table 2 The temperature of flame heating and time Serial number 2-1 2-2 2-3 2-4 2-5 2-6 Temperature(˚C) 600 650 700 750 800 850 Time（min） 5 5 5 5 5 5 Results and discussion Effect about the water content of release agent on the under surface depression Table 3 The water content of release agent and the depression size Serial numbe 1-1 1-2 1-3 1-4 1-5 1-6 Drying quality/g 17530 18340 18041 18720 18020 17836 After drying quality/g 17390 18180 18080 18500 17795 17615 Quality difference/g 140 160 181 220 225 231 Water content/% 1.11% 1.03% 0.89% 0.59% 0.40% 0.01% Depression number 3 3 1 1 0 0 Depression size/mm 410*210 360*160 220*100 180*170 Table 3 shows that the water content of release agent effects on the under surface depression.
It is seen from Fig 3 that there are two peaks in the presence of wave number 3330 and 1640 cm-1 that are samples of 1-1, 1-2, 1-3 spectra.
Beacause of the batch of fine grain size which thermal resistance is also large, water can not be discharged from all internal in short time, which leads to the under surface depression of foam glass more seriously.
At this temperature, it happens crystal transition which is growing a large number of valentinite crystal phase.
Project number: 2012BAJ20B02-03 References [1] YingliangTian, YulinZou, FeiZhao, etc.

Liang et al. [21] suggested that clusters start to coagulate after several minutes, which has a tremendous effect on the average cluster size and number density.
Fig. 4 represents the number density evolution of the clusters, where the dashed line corresponds to a simulation not taking into account coalescence.
When the coalescence model is used, the number density remains lower and in the order of the experiment.
The mean-radius of clusters remains too small when coalescence is not taken into account, which also explains a too high number density.
Nevertheless, it is shown that the implementation of the coalescence model leads to acceptable results concerning number and size of Mg-Si clusters.

This paper carries through meso-structure experiment of different order of adds of carry and temperature by the numbers, observe the process of limestone’s thermal crack damage under the different order of adds of temperature and carry on real time with instrument such as DaoJin High Temperature Fatigue Testing System with Scanning Electron Microscope.
When the material is under the actions of loading and temperature, the material micro-structure organizations, inclusions, such as grain size and micro-crack, crack growth are related to fracture.

The formation of agglomerates or clusters results in a reduction in the number and an increase in the size of particles, both of which directly affect the frequency of inter-particle collisions and, in turn, the particle phase properties such as viscosity and pressure, as well as gas/particle drag force in gas/particle flow systems.
S Chou: A Theory for Grain-Size Reduction in Granular Flows of Spheres, J.

Table 1 Parameters of SiCp/Al composite Table 2 Parameters of grinding wheel Parameter Value Parameter Value Heat conductivity/(w/(m·k)) 226.4 Grinding wheel Diamond Thermal expansion/(mm2/s) 90.105 Diameter/mm 300 Density/(g/cm3) 2.97 Bond Type Resin Specific heat capacity /(J/(g·k)) 0.846 Thickness/mm 30 Elasticity modulus/GPa 190 Concentration 100% Grain size 120# Experiment Apparatus.
The speed V, position X and adaptive inertia weight formula in the improved particle swarm algorithm are as follows: (1) (2) (3) Where Vi and Xi are the velocity and position of the i-th particle, pi and pg are the particle individual and population values, k is the number of updates, c1, c2 are the acceleration factors, usually c1=c2=1.5, r1 and r2 are the random number between [0,1], s is the current iteration number, wstart is the initial inertia weight; wend is the inertia weight when the number of iterations is maximum, gmax is the maximum number of iterations.
Wheel speed vs, table speed vw, grinding depth ap were chosen as input layer of BP neural network. and energy consumption P was chosen as the output layer, then the three-layer BP neural network was established. p and q are the number of hidden neurons, which have influence on the adaptability and fault-tolerant ability of neural network, they are set as 3 and 1 respectively.
The size of the particle swarm size and the number of iterative optimization times are chosen to be 30 and 100.
This paper sets the mean square error value of the BP neural network as particle's fitness function, the mean square error is described as follows: (6) Where Ti is the measured value, Yi is the output value, n is the number of training sample.

As the number of devices in a system grows and the functions of the system need to be more intelligent,these devices need to exchange the rapidly increasing amount of data among them.
This approach is not suitable any more for the system composed of many devices because the number of cables is proportional to the square of the number of devices.As an alternative to the point-to-point connections,many industrial networks have been adopted, which can accommodate various data with shared transmission medium.
Within divisions C and B there are a number of subdivisions known as classes.
Systems in C2 enforce a more finely grained discretionary access control than (C1) systems, making users individually accountable for their actions through login procedures, auditing of security relevant events, and resource isolation.
Acknowledgment This paper is supported by National Nature Science Foundation of china under Project Number: 60473042 and 2009 Major Science Foundation Subject for the Education Department of Anhui Province under Project Number ZD200905.