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It has a number of excellent properties, such as shining appearance, high strength, and good erosion resistance.
Compared with the matrix, reaction layer has many round black holes and glass phase has been all but liquated, moreover, the baddeleyite and the corundum have become incompact grains like the sands.

The microstructure analysis showed that the low strengths of T6 A356 alloy should be at least attributed to the absence of the magnesium-based intermetallic phase, coarse grain structure and the presence of porosity, which resulted from the HPDC process, MIG welding and thermal treatment.
Therefore, the high vacuum (V-HPDC) process, advances the die casting process and makes it more competitive for mass production of structural automotive components with enhanced properties and significantly reduced number of defects [2-5].
Based on the optical microstructural analyses, the grain size and silicon particle in the fusion zone (ER4043) were finer than those base metal, which resulted in an increase in strengths of the fusion zone of the filler alloy ER 4043.

Formulas and values for coefficients of transformation of electromagnetic field to the acoustic one for a number of metals are given.
There are a simultaneous increase in durability and plasticity and decrease of the sizes of grain.
Then the integral number of half waves of a sound is located on sheet gage.

MapReduce is a popular and widely used fine grain parallel runtime, which is developed for high performance processing of large scale dataset.
Data files are organized by date center number and date.
Any car (plate number, in fact) appears in place more than this number, it could be a clone car or speeding car.
So we use the License Plate number as key, and try to find the car with the same License Plate number appear in more than 10 times within 5 minutes.
Each license plate number with a list of all its shooting times.

But Present's research tool, using the existing laminar flow formula, is unable to calculate the diameter of fog grain [3].
Neural Networks (NN) was a network which is made up by a large number of processing and a wide range of interconnection units.
In this BP neural network, the number of neurons in the input layer was 4, and the number of the output layer was 1.
Hidden layer neuron number was 7.
The number of hidden layer was 1, and transfer function was the tangent-type functions.

To ensure that the flow velocity and force field in the water model and actual mold are similar, it is necessary to ensure the Reynolds quasi-number and Froude number are equivalent [3], that is: (1) (2) Where, the subscript m and p denote model and prototype system respectively; V is flow velocity; d is the submerged nozzle inner diameter; v is kinematic viscosity.
When Reynolds number is greater than the second critical value, the turbulence and velocity is almost not affected by Reynolds number, then the flow state is similar in the model and prototype system, the critical value of second mould area is 1 × 104 ~ 1 × 105.
The Reynolds number calculated in prototype system is 9.61×105, then the model system is similar with the prototype system when the Froude number is identical.
Fig.1 Surface velocity in mold under different conditions By sampling analysis, the solidification front grain rotation angle corresponding to the mold electromagnetic stirring coil center can be acquired; according the relation of the surface velocity and the liquid steel flow rate in the solidification front of the coil center level, then the surface flow velocity in meniscus is determined as 0.096m/s.
Interface turbulence coefficient and slag entrapment frequency under different nozzle immersion depth Nozzle immersion depth [mm] 80 90 100 Interface turbulence coefficient 0.408 0.84 0.734 Slag entrapment number in 30s 0 0 0 The results show that the interface turbulence increases first, and then decreases with the nozzle insertion depth increasing.

Uniform design of U*6 (64) Test number Column number 1 2 3 4 1 1 2 3 6 2 2 4 6 5 3 3 6 2 4 4 4 1 5 3 5 5 3 1 2 6 6 5 4 1 Table 3.
Use of U*6 (64) Factor number Column number D 2 1 3 0.1875 3 1 2 3 0.2656 4 1 2 3 4 0.299 Table 4.
Mortar mix proportion Number Cement /g Steel slag Slag /g Water /g Content /g Fineness /m2/kg U1 225 45 450 180 225 U2 225 67.5 600 157.5 225 U3 225 90 400 135 225 U4 225 112.5 550 112.5 225 U5 225 135 350 90 225 U6 225 157.5 500 67.5 225 3.2.
Test results of steel slag slag composite admixture mortar Sample number Fluidity /mm Flexural strength /MPa Compressive strength /MPa 7d 28d 90d 7d 28d 90d U1 215.5 5.93 7.35 10.31 26.4 43.3 62.7 U2 219.2 5.53 7.83 10.10 25.7 42.7 59.4 U3 212.0 5.18 7.62 10.31 24.0 39.0 54.9 U4 218.0 4.95 7.25 9.68 23.8 39.4 52.6 U5 200.0 4.73 7.10 9.40 20.8 34.3 48.4 U6 211.5 4.63 6.77 9.05 20.4 33.6 46.4 Table 6.
Moreover, the formation temperature of steel slag is high and the heat preservation time is long, which makes C2S, C3S, f-CaO and other minerals in the steel slag crystallize well, the grains are large and the hydration speed is slow.

We applied a year old sample of cast cement screed with a strength of 25 MPa with a maximum aggregate grain of 8 mm.
There are, however, a number of objections that should be considered when using sealants for concrete.
Sample Number 3 is from the same manufacturer as Sample 2, but falls into the higher row and was applied in one layer according to the manufacturer's instructions.
The grinding wheel rotates and the test body is grounded at a given number of cycles under a load of 294 N. [4] Testing equipment.
It is clear that the reference sample has hit the worst here, and that the product of the higher row number 3 has achieved better results than the other two.

Laminated veneer lumber (LVL) is an engineered wood product manufactured from veneers that are rotary peeled, dried and laminated together with parallelly oriented grains under heat and pressure with a waterproof adhesive.
To determine the optimum topology of the network, several parameters were adjusted: the number of neuron layers, the number of neurons in each layer, the transfer functions, the learning rule.
The number varied from 4 to 13.
It was found that, the values of MSE kept decreasing and approaching a relatively small number near zero after 7 epochs.
The best MSE value was reached using 7 nodes, and beyond this limit, increasing the number of hidden nodes did not improve the learning performance, but increased the computational effort.

This can be used to vary the bilayer number (n) from 1 to 50 to 150, thus modifying the bilayer period (Λ).
It is observed that the coatings with the highest number of bilayers, are more resistant to wear than the samples with a smaller number of bilayers.
Is observed the influence of the number of bilayers or bilayers period on the structural characteristics of multilayer [10].
Broadly, the multilayer progressively decrease the coefficient of friction by increasing the bilayers, this is because of the improvements in mechanical properties and reduced surface roughness, since by increasing the number of interfaces decreases interstitial spaces generated a decrease in grain size.
This was attributed to the surface homogeneity, achieved by increasing the number of bilayers.