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The isothermal crystallization half-time (t1/2) was applied to provide the data for injection molding process.
After that, they were cooled down to 100°C at 10°C/min and isothermally held at this temperature and data were collected until the crystallization was accomplished.
Data was collected when the test specimen was deflected at 0.25 mm.
Data of the glass transition temperature (Tg), melting temperature (Tm), cold crystallization temperature (Tc) were collected from each thermogram.
The reduction of t1/2 directly reduces the injection molding cycle time for providing PLA with higher production rate and thermal stability [7].

As the distance between coils increases, the magnetic field reduction generated by interference decreases.
Finite element mesh, boundary conditions loading, and data post-processing were completed by finite element software ANSYS.
As the distance between coils increases, the magnetic field reduction generated by interference decreases.

This UV ozone treatment enhanced adhesion and resulted in the reduction of the adhesion temperature as low as 100 oC, and nearly no deformation of the microchannels was observed.
These techniques have been previously used to fabricate nanometer-scale transistors [7], pattern magnetic islands for high-density data storage [8], and microfluidic devices on polymer substrates for lab-on-a-chip applications [9].
This UV ozone treatment enhanced adhesion, and resulted in the reduction of the adhesion temperature as low as 100 oC, and nearly no deformation of the microchannels was observed.

The problem of unsteady heat transfer of a part with the quench medium and thermal deformation of aluminum alloy parts is discussed and the results of calculating are compared to the experimental data.
The experimental data confirmed the nature of the deformation obtained by numerical simulation.
The difference between the deformations obtained in the calculations and the experimental data was 23%.
The main problem with this analysis is the convergence of simulation results with experimental data, so for practical applications of the results of such calculations it is necessary to estimate an error by comparing the test calculations either with tasks having known solutions or with experimental data.
He, FEM simulation of quenching process in A357 aluminum alloy cylindrical bars and reduction of quench residual stress through cold stretching process, Comput.

The sample were rolled in a single pass to a thickness of 10mm (50% reduction) and immediately quenched in water to room temperature.
The stress strain data is shown in Fig.3 for all the strain paths studied.
In both cases there is an increase is the stress level following the change in strain path compared with the uniaxial data.
Following this initial increase the work hardening rate falls so the stress drops below that of the uniaxial data.
The only difference in the data is at the point of change in strain path where the CDF 90°(2)sample shows a slightly higher rise in stress before the curves converge.

What is about the carbon emission reduction target?
According to the data of EC [2], the current installed reliable capacity is 90,000 million watts (MWs = 106 watts), the amount of the eight NPPs to be shut down immediately is about 8,500 MWs.
As to the future power price, the detailed data is not given by the Ethic Commission, because there are different opinions.
Nature magazine [7] quoted the data of Matthias Kleiner (head of the German Research Foundation DFG and Co-Head of the Ethic Commission) and predicted the rising extent is 1 to 1.5 euro cents, about a 5% increase on electricity bills.
The national target of carbon emission reduction is much more difficult to reach.

(a) 1 h displacement of the width of the rolled piece (b) 1 h rolled piece Von miss stress distribution (c) 2 v rolling workpiece height displacement (d) 2 v rolling workpiece Von miss stress distribution Fig 3 The spread and the stress distribution of rolled piece in 1H and 2V rolling Further extraction of real data for roughing as shown in figure 4.
From head to tail of the rolled piece taking finite element node in turn, the extraction of rolling process data shown on the figure 4, because at the beginning of the rolling bite on billet, the process of billit bit into is not stable, After rolling process complete bite, rolling into a stable state, the actual spread: the maximum displacement of the first pass in billet 1/2 width is 8.4 mm, the maximum displacement of the second pass in billet 1/2 high is 9.6 mm, the maximum displacement of the third pass in billet 1/2 width is 11.7 mm, the maximum displacement of the fourth pass in billet 1/2 high is 11.5 mm, the maximum displacement of the fifth pass in billet 1/2 width is 5.5 mm, the maximum displacement of the sixth pass in billet 1/2 high is 6.35 mm. 2) Rolling stress analysis of the results.From figure 5, you can see that in the first time in the process of rolling, rolling bite into the billet among the rear area of the maximum compressive stress is close to 1000 mpa.
3) Rolling force analysis of the calculation results.Figure 6 shows the completed by rolling bite into the rolling process of billet, the rolling force data of 1 ~ 6 pass rolled piece is : 68×4 t, 58×4 t, 61×4 t, 41×4 t, 30×4 t, 26×4 t; due to large reduction in the third and fourth pass, the rolling piece was bite into , the load increment extended and rolling step increased.
Elongation distribution of each frame, reduction, and the new speed in the table 3; Comparison table 2 and table 3 can be seen that 6V rolling speed is (0.883+0.21) m/s, the main reason of the pile of steel for the continuous rolling can be reveals. 5) Effect.In the 2013-12-11 days after rolling program modification, multiple rolling series of spring steel 90 mm width, the steel pile phenomenon is resolved, the result is good.
Table 3 Modified width of 90 mm spring flat steel roughing rolling schedule rack Rolling temperature ℃ The roll diameter D, mm Rolled piece high H, mm Rolled piece width B, mm Roll gap s, mm Cross- sectional area S Elongation u Reduction Δ h, mm Linear velocity V, m/s Steel billet　 180 180 　 32400 　 　 　 1H 1050 710 140 196.8 140 27552 1.18 40 0.33 2V 1030 710 159.2 152 152 24198.4 1.14 44.8 0.38 3H 1010 610 102 175.4 102 17890.8 1.35 57.2 0.51 4V 995 610 125 110 110 13750 1.30 65.4 0.67 5H 980 610 81 121 81 9801 1.40 44 0.94 6V 970 610 93.7 90 90 8433 1.16 31 1.09 7H 960 440 74 106 14 7844 1.08 19.7 1.17 The summary This article in view of the large size spring flat steel slotless continuous roughing mill, and the process of rolling plastic material nonlinearity systematically carried out the finite element analysis.Rely on simulation theory, and the field data collection of steel rolling, obtain the following results: (1) Based on rigid rotation roll are studied, billet

As far as some metal ions with a preferred redox state and their transformation into the metallic state are studied, a clear description of the chemical entity might be possible from electrochemical data.
From the CV data, the electrochemistry of PAA thin film onto ITO electrode showed the similar behaviour as the electrochemistry of PAA on the glassy carbon electrode (Fig. 2), in terms of the number of oxidation and reduction peaks.
The second reduction peak (Epc2) was due to a stable quinoid type dication poly(amine- amide)2+.
ITO/PAA thin films has the same number of oxidation and reduction peaks as GCE/PAA.
Catalytic Reduction of Hexavalent Chromium Using Flexible Nanostructured Poly(amic acids).

On the other hand, SVM can capture the geometric characteristics of feature space without deriving weights of networks from the training data and it is capable of extracting the optimal solution with small training data, which is on the basic that the investment risk assessment index system of eco-materials industry is established in modern enterprise.
Model Construction and experiment based on Rough sets and SVM Research data and index terms The research data we employ is provided by Chinese eco-materials industry dataset in 2010, the sample data sets consist of the equal indications.
In addition, we choose twenty-one indexes as the training data (Table1).
Also, the experiment results show the effectiveness of rough set approach as a rule generator in data digging and the classifier of SVM approach.
European Journal of Operational Research. 7(157):439–448 [8] Pawlak: Rough sets and intelligent data analysis.

This paper puts forward the scheme, data flow and key technologies of model customization and information merger.
Introduction The substation is an important node of the grid, which is the source of the data acquisition for control center.
Secondary model is mainly intelligent electronic device (IED)model,which includes logical device (LD), he data set (DataSet), the logical node (LN), data object (DO), data attributes (DA), which is fixed hierarchical tree structure。
Model Customizer reduce modle element should follow a certain order and restraint mechanisms,the order of which is the intelligent electronic device (IED), logical device (LD), the data set (DataSet), the logical node (LN), data object (DO), data attributes (DA).
[9] State Grid:<< Data Model of Protection Relay in Project Based on IEC61850>>[S], Beijing,State Grid,2009.