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Synthesis work [7] is available and integrates a big amount of data on machinability and offers cost reduction for classes of materials.
Based on a manufacturer catalog data [8], an analysis was performed on all usable tools in the considered conditions.
Using table 3, and with A in extreme position (A= 00), interesting data are obtained (Table 6).

The comparison of the calculated diffractogram with the observed and the reduction of the differences admit the acquisition of quantitative results with more precision.
Besides that, the data also served to feed the Solver software.
The data obtained from the quantitative of each phase of the sieved fractions of the cements served to feed the Solver program of an electronic spreadsheet, which works with the principal of Linear programing that determined the composition of the new cement.
With the data provided from the quantitative analyses of the phases (Rietveld method), the SOLVER program electronic spreadsheet determined an ideal mixture for the obtainment of the new cement.

This process can be useful for ceramic machining because an additional axial ultrasonic vibraion can lead to reduction in cutting temperature and tool wear while maintaining high surface quality, which cannot be obtained from conventional machining6-10.
Therefore, it can be said that the sampling frequency beyond 10kHz should be used for reliable data in this work.
First, a drift of the force signal in raw data was eliminated by a high-pass filtering and then the maximum values were calculated from absolute values of the filtered signals, which were considered as the grinding forces.
(a) f=300mm/min, v=1.67m/s (b) f=300mm/min, v=3.35m/s (c) f=500mm/min, v=1.67m/s (d) f=500mm/min, v=3.35m/s Fig. 7 Analysis data of grinding forces (a) Conventional grinding (b) Ultrasonic grinding Fig. 8 AFM images with 2D cross-sectional profiles Fig. 9 Kinematics of a diamond grain in conventional and ultrasonic grinding at a contact time, Δt Surface roughness was measured by stylus type measurment equipment in terms of the grinding speed and the feed rate.

SEM-BSE micrograph of the area (see Fig. 1b) as well as EDX data show, that comparing to the rest of the hose, the vicinity of the defect is contaminated by high amount of carbon and oxygen (15 wt% C, 10 wt% O).
Hardness of longitudinal-section samples from the DN12-1 and DN12-2 supply batch were analysed and the data are given in Table 1.
Table 1 Hardness analysis HV0.3 and data from comparative tensile test HV0.3 Fm [N] DN12-1 372±3.5 5200 DN12-2 336±3.8 5865 From the results of mechanical testing is obvious, that hoses from supply batch DN12-2 exhibit significantly lower hardness and higher value of maximal force leading to failure.
As can be seen from Fig. 10, especially from clearly visible signs of original corrugation and smaller reduction of original diameter, the sample from supply batch DN12-1 did undergo lower level of plastic deformation and elongation.

The decrease of oxygen creates a partial combustion and consecutive reduction in changing over the input fuel energy, stimulates higher total fuel flow rate when the combustion takes place [9].
Brake Thermal Efficiency (BTE): Brake Specific Energy Consumption (BSEC): Fig. 2 Variation of brake thermal efficiency for biogas mixtures Fig. 3 Variation of brake specific energy consumption for biogas mixtures Combustion Characteristics: Cylinder pressure data investigation is an essential tool for analyzing the behavior of combustion happening inside the engine.
The performance and emission characteristic of the engine is influenced by the cylinder pressure and the required data is collected from data acquisition system by generating pressure crank angle (P–Ɵ) curves.

City List City,State Climate Zone Honolulu,HI 1-Very Hot Houston,TX 2-Hot Kansas City,MO 4-Mixed Minneapolis,MN 6-Cold International Falls,MN 7-Very Cold The weather data used for simulation is typical meteorological year (TMY): A collation of selected weather data for a specific location, generated from a data bank much longer than a year in duration.
The energy reduction for heating could be very big in cold climate regions.

.+ amxm (Eq. 1) where x1 = xi , ai = 1, 2, …m Deshmukh and Gore pronounced that, regression analysis is an important tool due to the large amount of data available, these data is available in different types and forms.
Thus the increment is due to the porosity reduction that lead to the hardness improvement [12].
Gore, Regression: an efficient data analysis technique, Int.

With regard to this situation, reduction of defective articles and improvement of moving technologies during the production process become critical issues.
The resulting analysis data are investigated to characterize near field flows under below the FPD.
And, also, CFD analyses of mockup system are carried out to compare with test data.
These data assure that an oscillation effect caused by disturbances is not significant from viewpoint of the FPD structural integrity.

Firstly, the relationship among the properties indices was calculated, which showed certain relations between the indices; hence, principal component analysis can be used to make dimensionality reduction.
Making factor analysis on the data in Table 2 with principle component analysis as extraction method and without rotation, the results are shown in Table 3 and Table 4 [3,4].
For principal component analysis, the data in table 4 were divided by the square roots of there corresponding initial eigenvalues.
The transformed data are the coefficients of the four new components, from which, Eq. 1~Eq. 4 were obtained, they are F1=-0.151ZX1 + 0.206ZX2 + 0.31ZX3 + 0.306ZX4 + 0.577ZX5 - 0.55ZX6 - 0.332ZX7, (1) F2=-0.026ZX1 - 0.703ZX2 + 0.215ZX3 + 0.442ZX4 - 0.072ZX5 - 0.235ZX6 + 0.451ZX7, (2) F3=-0.623ZX1 + 0.063ZX2 + 0.299ZX3 - 0.462ZX4 + 0.27ZX5 + 0.106ZX6 + 0.470ZX7, (3) F4=0.628ZX1 + 0.103ZX2 + 0.678ZX3 - 0.323ZX4 -0.073ZX5 - 0.089ZX6 + 0.132ZX7, (4) where Fi (i=1~4) are the four principal components, and ZXj (j=1~7) are the standard values of Xj (j=1~7).

Consequently, as estimated, energy saving is 650,000 tons of coal equivalent (TCE) and greenhouse gases (GHGs) emission reduction is about 2.4 million tons, from all these biogas engineering projects.
(a) Literature Review: Literature and information on natural resources, socio-economic development, agricultural and industrial structure and policies, planning, statistics data and information on biogas development of XUAR were collected.
(b) Quantitative Calculation: The organic resources and biogas potentials in Urumqi were calculated based on the data from the 2010 Statistical Yearbook of Urumqi and schemes recommended by other studies.
Resources Analysis and Biogas Potential Evaluation According to the data from the 2010 Statistical Yearbook of Urumqi and schemes recommended by several researches [2-4], resources analysis and biogas potential evaluation were performed.