Search results

Modeling and Testing of Linear Electric Servo System Xuejiao Zhao1,a, Fan Lin2,b 1Department of Flight Vehicle and Control, Beijing Institute of Technology, Beijing 100081, China　 2 Department of Flight Vehicle and Control, Beijing Institute of Technology, Beijing 100081, China ajiaojiao.7111@163.com, blinfanjy@bit.edu.cn Keywords: model of the electric servo system; data processing; test of Amplitude and Phase frequency characteristics.
A mathematic model of the electric servo system was founded in this paper and several groups of data collection and data processing were executed to check up the model veracity.
This paper described the data processing steps and analyzed the contrast of test and simulation results.
The time constant will be too large to achieve the requirements of fast [2] without a reducer with a large reduction ratio.
The reduction ratio of this servo system is calculated as Eq. 3

Technolygy Center of Yunnan Metallurgy Group Co. , Kunming 650031, China ayxhyxh1978@yahoo.com.cn, b281303319@qq.com, chhouyanqing@163.com, dgangxie@sina.com Key Words: Thermodynamic, Polysilicon, modified Siemens process, silicon yield Abstract: The complex chemical reactions in the Si-Cl-H system with relation to modified Siemens process have been studied in this paper based on the thermodynamic data of related substance.
The thermodynamic data and Characteristic of System There may be the following reactions in the high temperature hydrogenation process [1], the main reaction is SiHCl3(g)+H2(g)=Si(s)+3HCl(g), and the other are the side reactions, which is listed in Table 1.
The gas kinetic constant for the hydrogen reduction of SiHCl3 has been investigated [7].
SiHCl3→SiCl2+HCl (2) The kinetic constant is able to determine by fitting the decomposition rate on the growth rate data is given as Eq. (3) .
Miller; "The Thermodynamic Data for Silanes and Chlorosilanes," Sandia National Laboratories Report SAND, 87-8215B, 1-87 (1990) [7] Su, M.

PCA is the second order statistical properties for data.
In order to use all of the information, this article analysis the B-scan data (B-scan is composed of many A-scan data).
Let us assume the B-scan data is given in Eq. 1
Therefore, dimensionality reduction can be implemented
Lastly, the B-scan data can be reconstructed by Eq.6

In this report, the Zr-MCM-41 catalyst prepared by the grafting method was investigated on the MPV reduction of acetophenone.
The surface areas were evaluated with the BET methods by the N2 adsorption-desorption data at 77 K using BELSORP mini (BEL Japan, Inc.).
Results and discussion The catalytic activity of Zr supported MCM-41 have been evaluated in the liquid phase MPV reduction of acetophenone.
Figure 2 indicates the effect of reaction temperature on MPV reduction over Zr supported MCM-41 catalysts prepared by the grafting and impregnation method.
Fig. 2 Effect of reaction temperature on MPV reduction over Zr supported MCM-41 catallyst: (■) 4.6 wt% Zr-MCM-41-graft and (●) 5 wt% Zr/MCM-41-imp. 20 K Fig. 1 Effect of Zr loading on MPV reduction over Zr supported MCM-41 catallyst: (■) Zr-MCM-41-graft and (●) Zr/MCM-41-imp.

The mechanism of soot emission reduction was discussed.
The predicted pressure and the heat release rate are compared in Fig.1 with experimental data.
The predicted emissions data agree reasonably well with the measured values.
In general, the NOx predictions agree with the measured data to within 10%, while the soot is predicted to within 20% of the measured soot in most cases.
The mechanisms of soot emission reduction were discussed.

(b) Pre-processing of the data is done to assess the extent of coverage of training data in the domain of prediction.
Put all the calculated charge data in file Stop No Yes Fig 1.
The data servers communicate with devices in the field through PLC.
The data servers poll the controllers at a user defined polling rate.
The controllers pass the requested parameters to the data servers.

The data outside intrinsic dimension space will be regarded as noise signal to be eliminated.
Finanly the process of global array by affine transformation will be replaced by mean reconstruction,the data after denoise may be obtained in the inverse process of the phase space reconstruction.
The data outside intrinsic dimension space will be regarded as noise signal to be eliminated.
Finanly the process of global array by affine transformation will be replaced by mean reconstruction,the data after denoise may be obtained in the inverse process of the phase space reconstruction.
In this experiment, vibration acceleration data with color noise is collected from cantilever fan in an aluminum company.

Data Selection.
Data Pretreatment.
The reprocessing of the data generate in the previous step, check the integrity and consistency of the data, processing the noise data , Using statistical methods to fill the missing data.
Data Reduction.
Data Mining.

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).

Reduction in area is a measure to determine formability on cold heading.
Reduction in area is affected by second phases and inclusions.
Tensile strength-reduction in area balance Figure 6(a) and (b) shows the variation of percentage elongation and reduction in area as a function of the volume fraction of cementite.
The test data of conventional ferrite+pearlite steel [12], tempered martensitic steel [12] and bainite steel [13] are also plotted in Fig. 7 for the purpose of comparison.
[12] NIMS data base, Materials Information Technology Station, National Institute for Materials Science, Tsukuba, Japan