Search results

The high reduction ratio caused the dynamic recrystallization during annealing of the rolled sheet.
At the 30% reduction ratio, many twins and dynamic recrystallized (DRXed) grains were observed.
On the other hand, the numbers of twins were greatly reduced, when the sheet were rolled at the 50% reduction ratio, although twins and DRXed grains still co-existed similar to the microstructure at the 30% reduction ratio.
At the 30 and 50% reduction ratios after annealing, the existing twins were fully recrystallized.
(3) In the verification of the role of strain rate in the plane strain sheets using the commercial FEM package DEFORMTM-2D, the result of the FEM simulation calculation was similar to the experimental data.

The closer to the railway, the greater the reduction rate. 2.4 Analysis for the real-data of typical cross-section After processing the real-data of the project, the central deformation of different sections of the line is demonstrated in Form 5, and the curve showing how the central vertical deformation of Line A and Line B vary with time is demonstrated in Fig 4.
Accordingly, the numerical simulated data and the real-data of these two processes for curve comparison.
Besides, the real data exceeds the simulated data by 1.9mm.
The simulated data are basically consistent with the simulated data, except for that of Line A, whose error rate is 20%.
The real data are generally consistent with the simulated data.

The material properties of core material shown in Table 2 have been taken from manufacturer's data.
The data shows a little initial rise in force with increasing impact energy before reaching a plateau and is independent of core thickness.
The trends in the maximum force data, Pmax in sandwich structures, Fig. 4, are similar to those of incipient load.
The residual strength data, normalized by the strength of the unimpacted sandwich panels, are plotted against impact energy in Fig. 8.
And the strength reduction behavior is influeced by thickness of core material.

Through study on the regulation of tensile strength and reduction of area after artificial aging and natural aging for SWRH82B wire rod, indicate that the tensile strength of wire rod unchanged through artificial aging or natural aging treatment while the reduction of area changes significantly the reduction of area is effected by aging temperature and aging time.
The initial reduction of area of SWRH82B wire rod is usually lower after hot rolling, but the reduction of area has aging phenomenon[4]. 
The Table 1 data shows: with the increase of holding temperature of artificial aging, the Z value of change rate was significantly increased, that means the reduction of area of wire rod has a significant aging phenomenon.
The variation trend of the tensile strength (Rm) and the reduction of area (Z) of the SWRH82B wire rod with natural aging shows in Table 2. 
The reduction of area of increasing rate (Δ) listed in Table 2.

Complicated reponse of structures from limited sets of data can be expanded to full field data using a unique expansion technique first proposed by Chipman[3] and extended by Pingle [4] to obtain not only full field displacement information but also extended to provide full field strain data.
Expansion of real-time operating data is needed for the structure assessment.
· Measured data at the test points is obtained (either operating data or prescribed input)
· The measured data at ADOF is expanded to NDOF using [Tu]
Only limited cases have been studied thus far but measured data is currently being evaulated and will be the subject of future work.

Next, taking the achievements of students who are in the first semester of the freshman year (data of four-term students with the same course types and numbers; the corresponding relation of course and credit is shown in Table 1) and studying in mathematics major of Beijing University of Science and Technology (USTB) as an example, the simulation is carried out with the above method.
Taking the achievements of students in first semester of the freshman year and USTB mathematics major as an example, this paper evaluates the mean vector and covariance matrix of  multi-dimensional normal distribution with historical data (see Table 2 and 3).
Finally, the total credits achieved by students, the distribution law and cumulative distribution law, and the deviation with actual data can be worked out, as shown in Table 6, Fig. 2 andFig. 3 are the comparison of two distribution law curves and two cumulative distribution law curves.
Therefore, this paper adopts control variable method, which has higher efficiency in variance reduction techniques, to conduct variance reduction so as to reduce the random fluctuation.
The credit value found by several groups of simulation has relatively big fluctuation, for which variance reduction can be carried out through adopting the variable control method in variance reduction techniques.

Cu-supported on Sodium-treated Sepiolite for Selective Catalytic Reduction of NO by Propylene Zhihao ZHANG1, Yang LI1, Yunfang QI1, Qing YE1,a*, Shulan Ji1 and Dao WANG1 1Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100124, China ayeqing@bjut.edu.cn Keywords: Selective Catalytic Reduction of NO by Propylene; sepiolite; Cu Abstract.
Selective catalytic reduction with hydrocarbons is one of the most extended and efficient commercial DeNOx processes for nitric oxide removal from stationary sources.
Reports on a large number of catalysts for the selective catalytic reduction (SCR) have appeared since 1990, being the majority of these catalysts ion exchanged zeolites [1].
Catalyst Surf.area (m2/g) CuO cry. size (nm) a Cu2O cry. size (nm) b The peaks of H2-TPR Tmax (oC)/ NO conv. (%) Sep 57.6 - - - - Na-Sep 64.7 - - - - Cu /Na-Sep 60.9 18.5 7.8 310/380/540 350/35 a The data were estimated according to the Scherrer equation using the FWHM of the (111) line for CuO b The data were estimated according to the Scherrer equation using the FWHM of the (111) line for Cu2O Acknowledgments This work was supported by the National Natural Science Foundation of China (Grant Nos. 21277008 and 20777005), the Project of Construction of Innovative Teams and Teacher Career Development for Universities and Colleges Under Beijing Municipality (IDHT20140504) and Beijing City Board of Education Science and Technology Development Program (KM20131 00050010).

The solid state reduction of hematite to Fe3O4 and FeO has been observed after 120 hours of MA by a planetary ball mill.
In this way, we can point out what is the uniqueness in the solid state reduction by MA in the Fe2O3-C system.
Furthermore, it should be noticed that the magnetite is already produced after 20 h of milling as is clear from the saturation magnetization, which is invisible by X-ray diffraction data shown in Fig. 3.
Hence, it turns out that the magnetic data can supply a better understanding of the amount of magnetite phase produced by ball milling.
Conclusions The present work evidently shows that a solid state reduction is occurred by MA using a high energy mill in Fe2O3-C system, despite the fact that the chemical reduction of Fe2O3 to Fe3O4 and FeO by graphite is characterized by a positive reaction heat.

Metal thermic reduction of oxides is an ideal way of producing non-oxide or oxide/non-oxide refractory.
TiN/Al2O3 composite material prepared by aluminothermic reduction in coke bed is a new method.
The transformation of main phases in the products reveals that aluminothermic reduction and nitridation reaction occur, it also indicates that temperature can improve aluminothermic reduction and nitridation reaction.
Lattice parameters of the synthesized TiN were calculated from the measured d-spacing data derived from XRD peaks.
It means that aluminothermic reduction and nitridation reaction can occur and gain TiN products.

The experimental data show that: The yield ratio of the Q460C was found to increase with the elongation at break A and the reduction of area Z decreasing while the plasticity and toughness decrease as the testing temperature drops.
The Comparison of Strength Index of Experimental Data with Parameter Fitting.
But it is great deviated from fitting data below -20°C.
The experimental data is as following fig.8.
(2) In comparison with the data of fitting formula, the experimental data is more adverse to the application of Q460C steel.