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The cone data and ESEM analyses results show that incorporation of a small amount of ZHS greatly promotes the char formation of PVC and decreases the amount of hazardous gases released in PVC during combustion.
Fig. 1 and Fig. 2 show that ZHS can effectively reduce the data of HRR, THR, CO and CO2 production.
The corresponding cone data are presented in Table 3.
There is a 12.9% reduction in the THR for the PVC1 sample compared to pure PVC0.
Table 3 The corresponding cone data Samples pk-HRR (kW/m2) THR (MJ/kg) pk-CO (kg/kg) pk-CO2 (kg/kg) PVC0 141.27 29.269 0.01975 0.07963 PVC1 100.43 25.504 0.00781 0.06600 * pk-HRR: The highest value of heat release rate THR: Cumulative heat energy released during flaming per unit mass of the sample.

Proper selection of cross-sectional area reduction is therefore a crucial task as the improper reduction sequence may lead to excessive straining, possibly causing cracks or even material failure.
The tube cross-sectional area reduction can be calculated as follows: (1) where: SR = S0 – S [mm2] and S0 – tube area before drawing [mm2], S – tube area after drawing [mm2]. [4] In the 1st pass the area reduction was 35 %, in the 2nd pass the area reduction was 33 % and, finally, in the 3rd pass the area reduction was 29 %.
It should be noted however, that the results obtained are merely qualitative, because the material flow stress data and the friction model used were just an approximation of the true material behaviour that would eventually need a more sophisticated identification.
This effect was caused by insufficient lubrication after several high-reduction passes.
This met our goals of a successful drawing with 70 % overall area reduction.

The Flying Height Control with a Switched Controller for Data Storage Devices Zhizheng Wu1, Mei Liu1, 2 1Department of Precision Mechanical Engineering, Shanghai University, #149 Yanchang Road, Shanghai, China, 200072 2State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 200050 zhizhengwu@shu.edu.cn, mliu@shu.edu.cn Keywords: flying height control, -parameterized, switched systems Abstract.
This paper considers the flying height control problem for data storage devices using a switched controller.
Finally, the proposed regulator design method is evaluated on an experimental setup motivated by the flying height regulation problem in data storage devices. 1 Introduction The storage density of data storage devices has increased dramatically over the last decade.
The key technology in achieving higher storage density is the reduction of the clearance between the read/write element and the recording medium with a minimization of flying height variations.
Existing results in the literature on the exact output regulation problem for switched systems have been studied under strict assumptions [4-6], which cannot be used directly for the flying height regulation problem in data storage devices where switched (contact) dynamics exist.

Comparing with the coefficient of stress relaxation from the experiment, it was found that the theoretical stress relaxation results were similar to the experimental data.
The results indicated that the mean-square radius of gyration decreased with reduction of temperature, which corresponded to the typical viscoelasticity stress relaxation behaviors of polymers.
It is confirmed that the variation of mean-square radius can be used to quantitatively describe the stress relaxation of rubber system and a good agreement between the theoretical curves with the experimental data can be obtained from MD simulation.
The reason of stress relaxation is the inner stress of polymer reduces as time goes by in condition of temperature and deformation. [2] Traditional researches showed that the conformation rearrangement of molecule results in the stress reduction. [3] Through the stress relaxation study microstructure of elastomer material was studied and the properties could be predicted and evaluated. [4] The physical properties of polymer materials depend crucially on the molecular parameters, such as the average molecular weight, the mean square end-to-end distance and the mean square radius of gyration and so on.
And the correlation was in accord with the experiment data of stress relaxation coefficients.

This phase consists on matching two or more different point clouds into one data set in order to have them share the same global coordinate system.
Finally, we present some experimental data with comparisons for analysis and further discussion about the algorithm’s performance.
As stated earlier, the goal is to find the rigid transformation that aligns two 3D data sets (a and b) in a common coordinate system.
It is important to know that the hardware we have used for data acquisition is not a high end professional 3D scanner; therefore the 3D data may not be of the best quality and was not high resolution.
Fisher, "Parallel evolutionary registration of range data," Comput.

The system combines advanced 3G data transmission,professional engineer support in the remote background with collecting information ,it is greatly improved.
Result : b 1/ (L+1) (5) Weighted average method： Result = ((int)(0.7 * r) + (int)(0.2 * g) + (int)(0.1 * b)) (6) 3.4 The design of 3G communication and data transmission 3G transmission mode is adopted without orders, direct data transmission as set of parameters of SerialNet model in this system. 3G transmission mode is adopted without orders, direct data transmission as set of parameters of SerialNet model in this system, its advantage is that the connection is established once as the parameters, there is needn't change the SOCKET connection by command, the image data can be transmitted through the serial data communication with stable direct connection.
Communication parameters of this system: SerialNet mode, 8 data bits, no parity bit, one stop bit, no hardware flow control, communication baud rate is 115200bit/s.
[5] Yang Liuchun..Intelligent data acquisition system based on ARM designs[J].Automation & Instrumentation, 2011,(01)
[6] Li Juan,Tang Lijun,Wen Yongjun.The Design Of Handy Data Acquisition System Based on ARM[J].Microcomputer Information,2008,(25)

Figure 2 shows the CV data for the temperature range between 150 and 250°C.
A transformation of ledge to an inversion layer is observed in the data between 200 and 250°C.
The data in figure 3 show the reduction of fixed oxide charge is reached at temperatures above 300˚C and the observed the flat band shift is now dominated by interfacial traps.
In this high temperature region, the electrons have gained enough thermal energy to form an incomplete inversion layer as highlighted at points B & C in the unilluminated data.
When measured from accumulation to inversion, the capacitance in deep depletion increases after passing through a minimum, as shown by the data in figure 4.

Initial data for calculation of elastic strain were: rolling force, strip width, length and diameters of work rolls and back-up rolls of finishing stand 12 of hot rolling mill 1700 of ArcelorMittal Temirtau JSC.
Statistical sampling of measurement results was also considering data from technology parameters measurement for each steel grade and profile dimension.
As per data of calculations there were trends built for dependence of bend deflection on width of rolled strips for steel grade 3sp (killed) (Fig. 1 & 2), where it is visible that after the decreasing of strip width down to 1268mm work roll bend deflection is reducing (as the intra-roll pressure along the rolls contact is reducing) and the compression deformation of contacting rolls is decreasing.
At the rolling of wide strips for roll of design LPHNd-63 the bending value was 0.03mm, for roll of design HiCr – 0.019mm (reduction by 0.011mm – 36.7%), for roll of design AS1180xx – 0.012mm (reduction by 0.007mm – 36.8%).
At the rolling of wide strips for roll of design LPHNd-74 the bending value was 0.025mm, for roll of design ICPD – 0.021mm (reduction by 0.004mm – 16%), for roll of design HVS80 – 0.009mm (reduction by 0.012mm – 56.1%).

The random variables of reliability analysis should be made statistical on the basis of test data.
Test data and statistical value are shown as table 1.
It shown that data can not be made statistical because there were only four of fault f212.
Failure probability is more than 99% if analyzed according to conventional data and index.
Slope engineering is usually designed under condition of without sufficient sample test data.

This study explains the process computing direct economic losses causing from structural seismic damage and then presents how to obtain data required for the process and how to manage the obtained data.
Then, this paper suggests a procedure to calculate economic loss due to the seismic damage of structures, and applying demand data derived from this methodology.
The value reduction factors are summarized in Table 2.
Table 2 - Reduction factors in example building Seismic Damage Levels Slight Moderate Extensive Complete performance reduction factor Structure - - 0.6 0.8 Non-Structure 0.2 0.4 1.0 1.0 Finally, building loss costs are calculated.
The building loss cost for each return period and damage state is calculated by multiplying the current cost of the building by the value reduction factor.