Search results

X-ray Diffraction Measurement of Residual Stress A Bruker D8 diffractometer equipped with a two-dimensional area detector [19] and Cr tube was used to acquire the experimental X-ray diffraction data.
As regarding the data nomenclature, cut 1/10 stands for removal of one tenth (10mm) of the material along the direction A-B, 2/10 stands for two tenths (20mm), etc.
The acquired data as compared to simulations suggests that the critical parameters in determining the extent to which a sample can be sectioned and still produce valid XRD data appear to be the length of material in relation to the size of the heat tint zone (HTZ) produced by the weldment even though heat affected zone (HAZ) is traditionally the most important microstructural feature associated with a change in material properties in welds.
Relaxation is much more pronounced when sectioning perpendicular to the weld bead reduces length along the weld pass and a size factor r was derived from the experimental data.
Smith: Fundamentals of Two-Dimensional X-ray Diffraction (XRD2), CPDS-International Center for Diffraction Data 2000, Advances in X-ray Analysis, Vol. 43

The quantitative data of volume fractions are otherwise affected by measurements procedure.
Cold rolling was performed to 10-85% final thickness reduction.
These data confirm that the 2507 grade must be solubilised at T> 1050°, if the phase free structure is mandatory.
Indeed the reduction of Ni and mainly of Mo contents seems to allow avoiding the precipitation of intermetallic phases.
Left 750°C, 1500s, WQ Right: cold working 25% reduction

Data are the means ± SEMs from triplicate experiments.
Data are the means ± SEMs from triplicate experiments.
Data are the means ± SEMs from triplicate experiments.
Data are the means±SEMs from triplicate experiments.
Data are the means±SEMs from triplicate experiments.

The main advantage of rough set theory in data analysis is that it does not need any preliminary or additional information about data.
A New Discernibility Matrix Based on Distribution Reduction.
New Direction in Rough Sets, Data Mining, and Granular-Soft Computing.
Rough Sets -- Theoretical Aspects of Reasoning about Data[M].
Skowron et al: Rough set perspective on data and konwedge, Handbook of Data Mining and Knoledge Discovery (W.

Wijay and Spatz [2] reported data taken with refrigerants R-22 and R-410A inside horizontal smooth tube.
All signals of temperatures, pressure drop and mass flow rate were collected using a data acquisition system in real time with a PC running the data reduction program.
Data reduction The local flow condensation heat transfer coefficient as obtained as: Where is the heat transfer coefficient for two-phase refrigerant, .
The data show that the condensation coefficient increase with increasing mass velocity and vapor quality.
A general correlation was made by modifying Shah [7] correlation based upon the experimental data.

Source: Solar heating systems manufacturer data (Maxtemper) Data acquisition The signals obtained from the sensors installed in the test bench were acquired using a data acquisition system and stored in a data file.
To perform the data acquisition, a program written using LabVIEW software was used with a NIUSB6211 multifunction signal acquisition board.
Experimental results The tests were performed, and the COP data are shown in Table 2.
Table 3 presents the data for the city of Belo Horizonte, in the Southeast.
For the city of Belo Horizonte were used the following data: Latitude ˚N -19,8, Longitude ˚E -43,9, and Value of the 0,60929 US$ / kWh.

PANI was prepared by oxidative reduction of aniline using chemical method.
Silver nanoparticles were produced by inert gas condensation; whereas gold nanoparticles were synthesized by the reduction of gold salt.
Gold nanoparticles were synthesized by reduction of gold salt using extract of black tea leaves [14].
Impedance data of pure PANI and PANI/metal nanocomposite films was analyzed by fitting it to an equivalent circuit model comprised of resistance (R) and constant phase element (CPE), as shown in Figure 6.

First of all, we may use the ability of acquisition and management for powerful spatial decision support system of spatial data and attribute data to rate real estate markets across the country.
Spatial databases use a completely new object-oriented spatial data model-Geodatabase.
The spatial data used by the system is stored in large commercial databases named Oracle with Arc SDE.
Organization of the system is shown in figure 5. 4) Basic data input subsystem The system is an input-system.
Cost evaluation Market comparison Income reduction Valuation methods subsystem Interest rate The net profit The transactions fixed parameters The deal date Fixed parameters Trading area fixed parameters The individual factor fixed parameter Construction related costs Tax fee Development Profits Figure 5 Valuation methods subsystem structure Basic data input subsystem Data import Data Modifications Data Processing Data Management Figure 6 Basic data input subsystem structure 5) Word document generation subsystem On account of the reports generated in word document, it is easy for people to do related operations.

Obviously, it also can easily make good use of the other exploration data.
The use of microtremors for site amplification studies has become quite popular in recent years since for many reasons: it allows for significant reductions in field data acquisition time and costs; it does not require an ongoing earthquake sequence; and it does not require the long and simultaneous deployment of several instruments to produce a proper data set.
Geostatistical analysis, on the other hand, interprets statistical distributions of data and also examines spatial relationships.
Away from the data points the curve (or surface) will take on the shape that minimizes the strain energy.
The coefficients cj are determined by evaluating (3) at each data constraint and solving the square linear system.

CVT Performance and Experimental Setup This experiment aims to investigate the effects of varying hydraulic pressure on the reduction ratio and efficiency of the CVT.
Hence, variations in pressure would result in significant changes in reduction ratio.
Using a data extraction card with a pseudo control interface, control of all instruments and simulation of some of the transmission’s computerized behavior was achieved.
This allows the engine to be kept at an optimal speed for the purpose of energy conservation and carbon reduction.