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Comparing with only air-cooled treated( Figure 1), the grain grown is nonuniform very much.. 2.2 Mechanical properties testing Tensile test was completed by JRZ-10 tensile testing machine, during data processing must note sliding abnormal in upward section of curve, the consistency yield point value, lower yield value and maximum value being got, the length and width of the minimum section of samples by expanding being measured.
The elongation and area reduction rate and the yield stress and tensile strength was calculated.
The measured data are listed below: Table 2 Performance index after experiment Numbers Properties No.1 of air cooling after hot rolling No.2 of air cooling after hot rolling No.1 of A region M treated after hot rolling No.2 of A region M treated after hot rolling No.1 of F region M treated after hot rolling No.2 of F region M treated after hot rolling Upper yield strength（MPa） 307 302 270 272 309 306 Lower Yield strength（MPa） 287 289 265 269 290 288 Tensile strength（MPa） 385 381 366 365 384 382 Elongation（A％） 33.5 31.5 38.5 42.5 32 29.6 Reduction of area（Z％） 51 54.5 52 51 49.5 48.5 In the tensile test table, the mechanical properties of sample under ferrite region magnetic radiation and air cooling to room temperature after hot rolling is same as, the grain is uneven.

It just changes exterior building feature can make building carbon reduction in order to achieve the concept of sustainable development.
These two sets of data are difference of 0.13 to 0.24%. 
These two sets of energy consumption data are difference of 0.8 to 15%.
“Cool Communities: Strategies for Heat Islands Mitigation and Smog Reduction” Energy and Buildings, Vol.28(1) pp.51–62.

The accumulated heat influences reduction of thermal changes in the roof.
The heat accumulation in the soil influences the temperature changes reduction and temperature delay.
The monitored data give results that are sufficiently accurate.
The permittivity is data for specification of mean volumetric moisture between rods.

Consequently, the active flow control methods may apply to a large variety of problems, e.g. changing lift for rotary wing aircraft, achieving lower radar cross-section aircraft, delaying aerodynamic stall to enhance maximum lift [1] or drag reduction.
As is evident from Fig. 5, 6 and 7, with the increase of the forcing momentum, more energy can be transferred into the boundary layer with low momentum, and the controlling effect (such as lift increase and drag reduction etc. ) is enhanced.
First the comparison of CFD simulations with available experimental data of the airfoil without blowing is presented as a baseline validation.
A good agreement of the CFD simulations with the experimental data is obtained for pressure distribution and aerodynamic coefficients.

Results and Discussions Mechanical properties The tensile tests results (average data) of various prepared composites of PP/nano-CaCO3 are given in Table 2.
The reduction of tensile strength may be attributed to the weakly bonded nanoparticles.
The reduction of spherulite size and the disappearance of sharp interfaces among spherulites favored the increase of elongation at break for the PP/CaCO3 composites.
The flexural and impact tests results (average data) of various prepared composites of PP/nano-CaCO3 are given in Table 3.

The reduction of cement can decrease air pollution compounds, such as CO2, SO2, NOx, during cement processing. 3.
The reduction of coarse aggregate can decrease nature stones consumption [1-5].
This paper presents data on the performance of the concrete made with different amount of SS powder and coarse aggregate.
These data were compared to those of the concrete without SS.

Simultaneously, microstructural data of the welds have been also reported in a large number of publications [3-7].
On the other hand, the non-heat treatable alloy in the work-hardened condition generally experiences reduction of hardness around the stir zone [9], which is due to recrystallization and recovery of the work-hardened microstructure of the base material in the stir zone and TMAZ, respectively.
Hardness reduction in Fig. 3(b) was characterized by overaging and/or dissolution of the strengthening precipitates [10].
Relationship between the global yield strengths of the weld and hardness value of the fracture location in the FS-welded AA6063, whose data were extracted from Fig. 4, is presented in Fig. 5 [12].

For now, with regard to the preparation method of silver-loaded diatomite, the main methods are the vacuum heating decomposition method[2, 3], chemical oxidation-sedimentation process[4], colloidal route and chemical reduction[5] and so on.
Both XRD data and IR data were collected at room temperature.
But exceedingly high temperature may cause decomposition of silver nitrate, which results in a reduction in the content of silver.

Results and discussion Table 1 Cone Calorimetry data for ABS and ABS/MWNTs nanocomposites at 35kW/m2 MWNT content(%) tigna(s) PHRRa (kW/m2) THRa (MJ/m2) ASEAa (m2/kg) AMLRa (g/s) Fig. 1.
HRR curves of ABS nanocomposites 0 28 930.0 34.0 1475.6 0.095 0.2 27 523.3 28.8 1195.6 0.083 0.5 28 517.5 29.1 999.3 0.078 1 34 425.0 29.9 957.0 0.053 2 35 436.6 28.3 1018.6 0.050 4 36 438.7 26.9 1005.4 0.048 a tign : time to ignition; HRR: heat release rate; PHRR: peak release rate; THR: total heat release; AMLR: average mass loss rate; ASEA: average specific extinction area The cone data for ABS and ABS/MWNTs composites are collected in table 1 and the heat release rate curves for ABS and its nanocomposites are shown in Fig. 1.
When the MWNTs content is lower than 1%, PHRR displayed a 43% reduction and tign, AMLR exhibited little change comparatively to pure ABS resin.
However, tigns of all samples changed significantly when the MWNTs concentration is higher than 1wt% compared to base polymer: PHRR and AMLR displayed 55 % and 48 % reduction respectively; tign was 7-8 s longer than ABS resin.

Introduction In supply-chain management, the effort of minimizing total costs in terms of reduction in chain-wide inventory has been increasingly addressed and attempted under networked manufacturing.
Comparative Analysis of Forecasting Model Methodologies The proposed MPC-forecasting framework was applied to industrial data, in order to assess its effectiveness on real-life cases.
Sales data were supplied by a leading Chinese dairy products manufacturer and concern the daily sales of a fast-moving product.
In particular, the forecasting method that produced the best results, namely the RBF time series model, led to a drastic reduction of the deviation from the inventory set point.