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A greater number of fused silica is transformed from amorphous state to crystalline state with big volume expansion, at 1400℃, which causes microcrack leading to decrease the bending strength.
That reveals that nano-zirconia possessing large surface area and high surface energy effectively improve driving force of atomic motion, which is beneficial to hole among grain-boundaries shrinking and vacancy cluster submerging, and promote the effect of sintering composite ceramic.
Increasing sintering temperature can promote composite ceramic sintering, but a greater number of crystallization from amorphous state to crystalline state appears at 1400˚C and causes plenty of microcrack leading to strength of composite ceramic declining.

Experimental Procedure The pattern used in the study was a step-like shape sized 100×250mm withstep thickness of 3, 6, 12, and 18 and 24 mm (Figure 1) The pattern made of polystyrene foam with a density of 20Kg/m3 was cut using hot wire to an accuracy of ±0.5 mm. 3 100 50 250 24 Figure1: The dimensions of the pattern used in this study The patterns were then dipped for 60 seconds into slurry of Zircon (ZR-A) and colloidal silicate mixture with the viscosity controlled at27 secondsusing Zahn flow cup number 5.
The mould was prepared by placing the pattern in a flask as shown in Figure 2and unbounded silica sand with a grain fineness number of 60-100 was introduced manually into the flask.Compaction of the sand was made by vibrating the sand-filled flask for the duration of 60 secondsat a frequency of50 Hz.The flask was then placed in the pressure vessel as shown in (Figure2).

The dynamic component is computed as the product of the pile velocity times the damping factor (a soil parameter related to soil grain size).
Table 1 Stratum character serial number Stratum name Average thickness(m) serial number Stratum name Average thickness(m) ① silty clay 3.92 140 ⑤ Medium-Coarse sand 6.78 230 ② silty clay 4.77 150 ⑥ silty clay 5.90 250 ③ medium sand 3.30 180 ⑦ medium-Coarse sand 6.42 310 ④ silty clay 5.29 170 ⑧ Coarse sand 4.37 320 4.2.1 Static load test results analysis Chart 1 shows the Q～s curve and chart 2 shows the s～lgt curve.

Table I: Main Geometrical Features of The Analyzed Barrel Denominator Value Diameter [mm] 1000 1000 (2D simulation) Length [mm] Blade angle 36 degree Number of blades 10 As the aim of the present work was to reproduce the operation of a rotating machine, the use of moving sub-grids was necessary.
Table 3.1: Summary of material options for model turbine blades Material Comments Disposition Solid Wood Difficult to maintain isotropic structure due to grain structure of wood Not used Laminated wood Labour-intensive but cheap.
DESIGN DIMENSIONS Figure 5.1 Flow analysis for flow velocity 0.5m/s (pipe) Length= 1000 mm Diameter=1000 mm Number of blades= 12 Type of foil = newly designed Chord length, C= 16.19 mm Blade inclination angle, φ, from the horizontal, where φ = tan-1(nlπd) = tan-1(37.68) = 89.90 Solidity, σ, defined as σ = nCπd = 610.0392 The heb turbine design described in this report has a diameter of 1 m and a length of 1 m.

Thus, the initial numbered image of the structure consists of a matrix containing 0 and 1; • treatment of the resultant sets of the digital values (matrices) by division of the matrix to larger cells with the dimensions Li× Li(i=1,..., 32); • construction, for each of division, of the characteristic measure in the form of the probability of distribution of units Ni, required for covering the ferrite field; • the approximation of the dependence of lnPi on lnLi by the method of least squares and the determinationof fractal dimensions Df from the relationship: P(Li) = const×Li-Df, (1) Fractal structure formation analysis and assessment of cold resistance of the weld metal of low-carbon steel for welding with coated electrodes Engaging the concept of fractals allowed to quantify the degree of homogeneity (dispersion, fragmentation) of the structure of weld metal.
Comparison of the values of Df with the topography of the structure shows that for a coarser structure with wide fragments of Widmannstatten ferrite extending through all fields of the grains of primary austenite, the value of Df is lower and the structure is more homogeneous, approaching the conventional ferritic–pearlitic structure, with the higher values of Df.
The distribution density can be calculated more efficiently by counting the number of cells P required to cover the fractal.

Liquids modeling and their properties is carried out on the molecules coarse-grained model basis within the statistical associative theory by replacing the molecule with a solid balls limited number, by which fill the matrices [6], that allows predicting many substance properties and internal force fields.
The factor of 200 to the atoms number determines the electron density redistribution total path in the crystal (in contrast to the hydrocarbons linear structure).
In addition, in the equivalent length and molar mass, it is necessary to take into account a oxygen atoms certain number that could be cluster part as peroxide groups.
Methane requires 9.52 moles of air for the 1 mole combustion, for longer n-alkanes this number decreases to 7.3 per one molecular link.
Sanket, Development of New Transferable Coarse-Grained Models of Hydrocarbons, J.

The results also indicate that the initial porosity has a great effect on the number of pores, pore size, pore shape and the distribution of pores during post sintering process.
Compared with conventional post-sintering, microwave processing offers unique advantages, which include saved energy, enhanced densification and suppressed grain growth owing to very rapid heating rates and cycles.
At the beginning of densification, the initial large pores quickly break down into a large number of smaller pores.

It will be demonstrated during the presentation that the manufacturing depends on one hand side on the material which has to be manufactured and on the other side on the structural component and the number of parts which are required.
The manufacturing process of CMCs depends on the shape and size, numbers, requirements (mechanical, thermal, chemical and physical) and cost effectiveness of structural components.
One of the key factors in respect to the processing costs is the impregnation technology, whereas the final properties like ductility, grain size and purity are controlled by the final heat treatment temperature (HTT) and the post treatments.

The results suggest the existence of a large number of interface states in ZnO/p-Si heterojunction, and the interface states can be reduced and the photoelectric properties can be further improved.
The preferential orientation of the ZnO grains is observed along the (101) axis aligning with the growth direction.
The presence of a number of peaks in XRD pattern is the indication of polycrystalline nature of the ZnO.

The possible training parameters are number of iterations (epoch) learning rate, error goal and number of hidden layers.
However the numbers of neurons in the input layer and output layer are determined based on the problem domain depending up on number of input variables and number of output or target variables.
Tested: Properties tested BC Soil RHA Specific gravity 2.67 1.92 Liquid limit (%) 64.86 128.34 Plastic limit (%) 28.89 - Shrinkage limit (%) 11.48 - Plasticity index (%) 35.97 Non plastic Grain sizes Gravel fraction (%) - - Sand fraction (%) Coarse (%) 1.5 - Medium (%) 4 2.84 Fine (%) 12.54 31.45 Silt fraction (%) 26 52.35 Clay fraction (%) 55.96 13.36 MDD (KN/m2) 14.75 7.09 OMC (%) 26.53 74.24 Free swell index (%) 109.12 - Properties tested Value Grade 43 Specific gravity 3.12 Normal consistency (%) 32 Initial setting time (min) 96 Final setting time (min) 364 Fineness (%) 5.5 Compressive strength 3 days strength (Mpa) 25.5 7 days strength (Mpa) 36.7 28 days strength (Mpa) 41.5 Table 3 Chemical Properties of Soil Elements BC soil (%) RHA (%) SiO2 38.32 83.32 Fe2O2 2.69 0.8 SO3 0.034 0 CaO 3.05 0.71 MgO 2.69 0 Al2O3 5.93 0.8 Ignition loss 11.04 5.23 pH 8.06 9.69 Table 4 CBR of Soil-RHA-Cement
Mixes and RHA Mix proportion (%) Soaked CBR Soil RHA Cement (%) 100 0 0 1.88 (1.89) 95 5 0 4.08(4.08) 90 10 0 5.84(5.83) 85 15 0 5.14(5.36) 96 0 4 25.56(25.53) 92 0 8 48.57(48.53) 88 0 12 58.16(58.15) 91 5 4 28.16(28.18) 87 5 8 54.68(54.73) 83 5 12 63.09(63.04) 86 10 4 30.82(32.73) 82 10 8 60.56(59.11) 78 10 12 68.49(68.84) 81 15 4 25.85(25.85) 77 15 8 56.62(57.55) 73 15 12 67.06(67.34) Fig: 1 Illustrative topology to prognosticate CBR values BC soil- RHA-Cement mix Hidden layer CBR values Fig. 2 Effect of RHA and Cement on Soaked CBR Value of BC Soil Fig.3 Convergence curve The number of hidden layers and neurons in hidden layer are fixed during the training process.
A significant number of reports have been published in application of ANN for the prediction of future events in Civil engineering problems [1,2,3].