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These kinds of alloy have many common properties such as high density, small thermo-expansion coefficient, anti-cautery, anti-oxidation and the fine conductivity of electric and heat.
In the numerical simulation, the process parameters which can affect the quality of the product in the filling and packing process are selected as experimental factors.
In table 1, the experimental factors and factor level are listed in detail.
The factors and levels are shown as table 3.
The array of factors is shown in table 4 in which factors A,B,C, D and E are corresponding with the ones of the numerical simulation.

In the X Axis Title click on your Title right choice Properties, in the popup dialog input s/mm; Y Axis Title in your Title, click the right choice Properties, the open in dialog input train △P/MP.
As fig. 3 shown,for the working pressure, voltage directly affects the size of the characteristic curve of change, generally use the high pressure differential pressure type gas measurement instruments.
Appropriate work can be seen to increase pressure on the pneumatic measuring instrument has advantage, but also needs to consider the impact of negative factors of pressure to improve the measuring instrument to improve sealing and air consumption. 1.
Beijing: mechanical industry press, 1991
Chinese mechanical engineering, 2006, 17 (17):1790-1792.

The corresponding values for the relevant mechanical properties of both materials were obtained from literature.
Fig.2 provides a timeline of the most common materials used in the period that goes from late XVIII century to mid XX century and presents their mechanical properties, as proposed by Bussell [3].
Figure 2 Dating and mechanical properties of historic metallic materials [4] Geometry survey.The aim of the geometrical survey was to verify and compare information contained in the original documents as well as to obtain the missing information required to build a reliable and representative numerical model.
Considering such nonlinear properties is useful in a failure analysis because the true strength of thematerial can be considered until complete failure.
Ignoring geometric factors can lead to inaccuracies in cases with large displacements, stresses, or rotations.

Surface roughness directly influences many properties of the machined parts, such as friction, wear, lubrication, fatigue, and so on.
Parameter design based on the Taguchi’s method has been successfully applied in a number of metal cutting investigations by researches and practitioners alike for its distribution-free and orthogonal array design, and it provides a considerable reduction of time and resource needed to determine important factors affecting operations with simultaneous improvement of quality and cost of manufacturing [2, 3].
Four cutting parameters, i.e., cutting speed vc (A), feed per tooth fz (B), radial depth of cut ae (C), and axial depth of cut ap (D) were selected as independent factors to analyze their effects on surface roughness.
As can be observed in Fig. 2, the main parameters affecting surface roughness are the radial depth of cut and the axial depth of cut.
As can be seen, the interaction of feed and axial depth of cut is the dominant primary interaction affecting the surface roughness.

Furthermore, it was also found that the mechanical strength could be increased, so that breakage of wafers decreased.
Therefore, it is considered that, to maintain the mechanical strength of wafers and to suppress the formation of dislocations are two of the most important factors during larger diameter silicon crystal growth, wafer manufacturing and device fabrication processing [5].
Impurity engineering I: mechanical properties Nitrogen doping and germanium doping are well established to improve the mechanical properties of silicon wafers.
However, it is inevitable that the shallow thermal donor (STDs) could be generated in nitrogen-doped CZ silicon which could destroy the electrical properties and calls for additional anneal treatments [28].
The enhancement of mechanical properties, the promotion of internal gettering capability for metallic contamination; and the suppression of void defects on CZ silicon wafers consist the main content of "impurity engineering of CZ silicon " for IC currently.

The objective of this work is to develop a set of individual models which can be linked together to quantify how alloy chemistry and the thermal/deformation history combine to determine key processing parameters and the final properties of the product.
However, it is important to point out that these simple estimates do not consider kinetic factors, i.e. in some cases the microstructure is unrecrystallized after extrusion but will recrystallize if a post extrusion heat treatment is added (see reference [19] for more details).
Further, the complex strain path near the surface is expected to strongly affect the deformation texture in this region, thereby affecting the recrystallization texture.
The creation of the model allows for an analysis of interdependencies between different processes e.g. establishing how extrusion microstructure depends on homogenization practice and how variation in homogenization will translate to variations after extrusion, i.e. the linkage to final properties.
This allows one to look at the end product and determine which points in the process really dictate final properties.

Moreover, PM2.5 can long exist in the atmosphere, reducing visibility, resulting in frequent haze phenomenon, affecting traffic, affecting crop growth.
For garbage incinerators, large amounts of contaminants (such as dust, acid gases, heavy metals, dioxins, etc.) in the flue gas generated in municipal solid waste incineration process are important precursors of PM2.5, the emission factor of PM2.5 is 5.2~29.0g/kg when flame burning, and the emission factor is 2.4~11.5 times of that when stuffy burning [7].
For biomass boilers, pollutants from biomass burning are important sources of PM2.5, for example, for crop stalks, the emission factor of PM2.5 is 7.2~39.0g/kg when flame burning, and the emission factor of PM2.5 is 67.6-104.6g/kg when stuffy burning [8].
At present, the mechanical precipitators such as inertial dustseparator and cyclones, etc. are still used as a pre-dedusting equipment on industrial boilers with capacity of 10t/h or below 10t/h.
(2) Adjustment the fuel particle properties reasonably, choose high efficient dust removal equipment properly.

Because of the complexity of the process of grinding, the parameters of the camshaft grinding are affected by a lot of factors, such as the size of the camshaft, the cam base circle diameter, the cam surface roughness, the precision, the grinding allowance, the size of grinding wheel, the type of grinding wheel, the depth of grinding wheel dressing, the intervals of dressing and the type of coolant, and so on.
In order to improve the pertinence of the experiments, the spans of 8 experimental factors are appropriately enlarged on the basis of the earlier empirical data.
The table is 6 levels for each of the 8 factors and contains 60 samples. 54 samples are randomly selected to train the network and the remaining 6 samples are selected to test the network.
The properties of the camshaft to be processed are shown in Table 1.
Wang: China Mechanical Engineering, Vol.19(2008),pp.61-63

The tests were carried out to study the effects of the fraction of steel fiber by volume and the thickness of cement paste wrapping steel fibers on the axial tensile properties of steel fiber reinforced concrete (SFRC).
Their properties are listed in Table 1 to Table 4.
Table 1 Physical and mechanical properties of cement Fineness (%) Standard consistence (%) Setting time (min) Compressive strength (MPa) Flexural strength (MPa) Initial Final 3d 28d 3d 28d 2.0 29.20 185 295 29.5 46.8 5.4 8.0 Table 2 Physical properties of cement Particle size distribution Fineness modulus Apparent density (kg/m3) Bulk density (kg/m3) Closed-volume density (kg/m3) Mud content (%) 0.16～5 3.3 2600 1490 1620 1.6 Table 3 Physical properties of stone Apparent density (kg/m3) Bulk density (kg/m3) Crushed index (%) Mud content (%) 2720 1430 9 0.4 Table 4 Characteristic parameters of steel fiber Average length (mm) Average width (mm) Average thickness (mm) Equivalent diameter (mm) Aspect ratio 40.02 0.92 0.57 0.87 46 Table 5 Test combination parameters Strength grade Fraction of steel fiber by volume (%) Thickness of cement paste wrapping steel fibers (mm) Water to cement ratio Sand ratio (%) Water reducer (%) CF40 0.0/0.5/1.5/2.0 1.0 0.45 41 0.6 1.0 0.8/1.0/1.2
The thickness of cement paste wrapping steel fibers affects a little on the axial tensile strength and the stress-strain curve.
Li, Experimental study on axial-tensile properties of steel fiber reinforced concrete, Journal of North China Institute of water Conservancy and Hydroelectric Power, 3 (2007) 8-50.

Effect of Silica on the Properties of Bagasse Pith Cushioning Packaging Materials (BPCPMs) LV Yanna 1,2, a , HE Beihai 1,3, b, OU Jianzhi 2, c and Wu Yali 2, d 1.
Table 1 shows the physical and chemical properties of silica used in this experiment.
Under certain experimental conditions, lower apparent density, lower hygroscopicity and excellent mechanical properties of cushioning packaging material can be achieved.
Mechanical testing Static compression tests were carried out to determine the compressive stress-strain (σ-ε) and static cushion factor-strain(C - σm ) curves.
Silica’s micro dispersion will affect the mechanical properties of materials [16].