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Data should be generated after establishing the materials manufacturing procedure and satisfying NDE criteria
- Data are required for structure and life time designs ü Physical constant: thermal expansion coefficient, thermal conductivity, density, Poission's ratio, statistical and dynamic elasticity modulus, and etc.
Data should be generated after establishing the materials manufacturing procedure and satisfying NDE criteria
- Data are required for structure and life time designs ü Physical constant: thermal expansion coefficient, thermal conductivity, density, Poission's ratio, statistical, dynamic elasticity modulus, and etc.
No.10, (2006) p.733 [4] IEA World Energy Investment Outlook 2005, analysis data (2005) [5] VGB PowerTech annual report analysis (2004~208) [6] J.

Construct the initial Kriging surrogate model using data from Step 2.
Phase-delay distribution is calculated from the in-phase and out-of-phase data.
The coherence functions between acceleration responses and hammer impulse are checked to ensure the quality of acquired data during the vibration measurement.
An artificial neural network interpreter for transient thermography image data.
On applying Kriging-based approximate optimization to inaccurate data.

The results are discussed and compared with the data available.
Our optimized lattice constant of ordered Fe3Al (10.867 a.u.) differ from the experimental data by less than 0.7 % [14] and the formation energy agrees quantitatively well with the results of earlier calculations reported in [14,15].
The resulted formation energy, shown in brackets in Table 1, agree perfectly with the experimental data reported in [7].
Our results for the positron lifetime for the bulk annihilation in Fe3Al, calculated by both BN and GC method, agree perfectly with other calculations and experimental data [5,6].
The formation energy of vacancy in preferential location, calculated in the paramagnetic state, coincides perfectly with the recent experimental data.

It is a building (APM), the structure, equipment (water WPM, warm HPM, electric EPM, air conditioning CPM), budget estimate (STAT) and construction in one large integrated CAD design system, both between the various modules for data conversion, interface, can be used alone.
(3) Cycle reduction factor.
Cycle reduction is mandatory provisions, but by how much is not a mandatory provision, which requires careful consideration in the reduction time, neither too much nor too little, because the reduction not only affect the internal force reduction, but also affect the structure of the displacement.
The item 3.3.17 of JGJ3-2002 also requires that when a non-bearing wall is filled with brick walls, the high-rise building structure calculation of the natural cycle of reduction factor, according to the following provisions of values: frame 0.6-0.7; frame-shear wall 0.7-0.8; wall structure 0.9-1.0; short column shear 0.8-0.9.

Electropolymerized 8-hydroxyquinoline films can act as reducing reagents for the reduction of Au(III) to Au nanoparticles.
In the presence of Zn2+, Cd2+, Mg2+, or Pb2+ ions, the reduction of Au(III) was inhibited.
In the second reverse sweep segment, no cathodic peak was observed, indicating the absence of polymer reduction, i.e. irreversible passivation.
As expected, no such peak was observed for the 8-Hq/ITO electrode (data not shown).
The metal ions Zn2+, Cd2+, Mg2+, and Pb2+ could impede the reduction of Au(III) by the electropolymerized 8-Hq films.

Therefore, pre-reduction of samples is necessary for the determination of total Sb content[2].
The most common pre-reduction involves the addition of thiourea and ascorbic acid reagent.
Previous results indicate that a mixture of KI and ascorbic acid provides an effective reduction to the trivalent oxidation states after a pre-reduction time of 30 min.
The use of thiourea also can enhance an effective reduction.
Table 2 Calibration data for each analyte studied Analyte Sb Bi Concentration range (μg/l) 0–10 0–10 Equation of fit y=-2.65+276.9x y=1.76+198.7x Linear correlation co-efficient (r) 0.9999 0.9998 Detection limit The LOD values,calculated as three times the standard deviation of ten blank signal measurements divided by the slope of the calibration line.

Introduction The semiconductor industry has exploited productivity improvements through aggressive feature size reduction for over four decades [1].
In contrast, the Fig.6 shows the pixel information after noise reduction.
For image whose edges have sudden changes, the single line data chosed from whole SEM image is presented in Fig.8.
In contrast, the pixel information after noise reduction is presented in Fig.9.
Fig.5 Pixel information of original image Fig.6 Pixel information noise reduction Fig.7.

The procedure was following: Molten iron→converter→LF furnace→continuous casting→cooling→heating→descaling→rough rolling→finish rolling→controlled colling→straightening and leveling→cooling bed → cooling in heap→inspection The main factors determining the microstructure and properties of steel are the temperature range of the two stages of rolling, the intensity of cooling, the reduction of the temperature range, the fractional nature of deformation in the rolling stages, the final rolling temperature, and the cooling temperature.
The reduction rate at roughing was more than 12%, the accumulating reduction rate during the second stage was more than 60% and the accumulating reduction rate during the final three passes were more than 40%.
The area reduction along thickness was over 50%, which was distinctly higher than 35% required by any other classification society.
The strain age testing was conducted in the following conditions: five percent reduction and aged at 250 ℃ for 1h.The test temperature was -60 ℃.
The data proved the excellent toughness at any part of the plate and the uniform cooling of aged steel plate.

Considering the tool life data offered by the manufacturer and the economic factors, the total manufacturing cost was determined for each pocket geometry as function of the milling strategy and the cutting conditions.
From this data, the mean and maximum cutting power was estimated considering the theoretical cutting theory by Eq. 1.
Tool life data, T, was obtained by Sandvick Coromant’s Tool Guide application for the cutting conditions experimented.
The most severe cutting conditions (highest feed per tooth, axial depth and cutting speed) lead to a reduction of the machining time by 95%.
The cost decreases as the axial depth and the cutting speed increases, thanks to the reduction of the cutting time.

Numerical simulations are carried out for reduction of scramjet combustor length.
The simulation data implied that the length constraints are achieved as follows (ref figure 1) :- · Combust length for 90% static pressure rise: 350mm · Combust length for 80% product species: 350mm · Combustor length for temperature 2500K: 200mm Figure 1.
The atmospheric data of 30 km altitude is used for free stream Mach number of 8.0 at cycle temperature ratio = 4.50.
The possibility of increase in payload mass would in turn lead to reduction in initial mass ratio () where and a reduced is a basic design goal for any launch vehicle.
A combustor configuration derived from selected archival data implies that for a low efficiency system, a single 30 deg downstream wall injector placed upstream of a large acoustically open cavity provides a simple and effective solution for near field mixing, flame stabilization and construction simplicity.