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Online since: September 2015
Authors: Yeong Maw Hwang, Tso Lun Yeh
The simulation results show that a rolling temperature of 400oC and a thickness reduction of 50% are the optimal conditions.
In this study, the flow stress curve data including peak stress and peak strain, and the strain of 50% DRX strain are applied in a DRX prediction equation by using a mathematical regression method, as shown in Table 1.
The average value of constant P can be obtained from different experimental data, as shown in Figs. 10 and 11.
In Fig. 13, due to the heat conduction effect to the roll and small thickness reduction, the DRX phenomenon is not obvious.
At a reduction of 50%, the rolled sheet underwent almost complete recrystallization.
In this study, the flow stress curve data including peak stress and peak strain, and the strain of 50% DRX strain are applied in a DRX prediction equation by using a mathematical regression method, as shown in Table 1.
The average value of constant P can be obtained from different experimental data, as shown in Figs. 10 and 11.
In Fig. 13, due to the heat conduction effect to the roll and small thickness reduction, the DRX phenomenon is not obvious.
At a reduction of 50%, the rolled sheet underwent almost complete recrystallization.
Online since: July 2013
Authors: Yong Chao Liang, Xi Jia Zhang, Tian Yi Zhu
Using ORACLE’s PL/SQL statements to help the data be neat and also with data preprocessing.
Data mining fault feature, as the name suggests is to find characteristics implied from the fault data.
This paper will use history of protection action in data normalization of ORACLE, provide accurate data for data mining.
Fig. 1 SCADA monitoring and collection of statements Implementation Steps SCADA data is saved in hundreds of tables, data is disorder and redundant, but data contains very useful information.
Data is divided into: noise generated test data, maintenance data, the data itself wrong or incomplete records.
Data mining fault feature, as the name suggests is to find characteristics implied from the fault data.
This paper will use history of protection action in data normalization of ORACLE, provide accurate data for data mining.
Fig. 1 SCADA monitoring and collection of statements Implementation Steps SCADA data is saved in hundreds of tables, data is disorder and redundant, but data contains very useful information.
Data is divided into: noise generated test data, maintenance data, the data itself wrong or incomplete records.
Online since: December 2014
Authors: Xiao Guang Zhou, Ling Yun Wei, Ming Xiang Wen
In order to validatesimulation output, all input data are checked manually.
The data, which analyzed bythe MANOVA of SPSS, are presented in Table 4.
The simulation data in condition ofLT=3were chosen for further discussions.
The simulation data in condition of K/H=4were chosen for further discussions.
The simulation data in condition of MCD= 2were chosen for further discussions.
The data, which analyzed bythe MANOVA of SPSS, are presented in Table 4.
The simulation data in condition ofLT=3were chosen for further discussions.
The simulation data in condition of K/H=4were chosen for further discussions.
The simulation data in condition of MCD= 2were chosen for further discussions.
Online since: September 2013
Authors: Ji Chao Peng, She Rong Hu, Yun Xun Zhang, Wen Bin Tong, Min Chen, Chao Ji, Jiu Ling Wang
The paper collects mass data and field surveys in order to analysis the impact on the environment.
Finally it put forward seven words to protect and manage the environment: "reduction", "airtight","selection", "prevention","excellent", "new","legislation".
According to the nearest data, Pingdingshan Coal Group has 26.37Mt gangue piled in 2011, and these coal gangue piles occupies land 985 km2[2] and leads to reduce cultivated land area.
In order to accurately grasp the heap situation in the region, understand the gangue pollution sources of quantity, The author consults a large number of data[3-8],counts inventory,combustion reactor volume, annual utilization of pingdingshan coal gangue, see table 1.
This phase summarized as "reduction".
Finally it put forward seven words to protect and manage the environment: "reduction", "airtight","selection", "prevention","excellent", "new","legislation".
According to the nearest data, Pingdingshan Coal Group has 26.37Mt gangue piled in 2011, and these coal gangue piles occupies land 985 km2[2] and leads to reduce cultivated land area.
In order to accurately grasp the heap situation in the region, understand the gangue pollution sources of quantity, The author consults a large number of data[3-8],counts inventory,combustion reactor volume, annual utilization of pingdingshan coal gangue, see table 1.
This phase summarized as "reduction".
Online since: September 2013
Authors: Rong Hua Zhong, Xiu Bin He, Kai Dao Fu
Based on the precipitation and water discharge series data (1959–2008), and sediment load series data (1993–2008), the runoff and sediment discharge variation and its response to precipitation has been analyzed.
Fig.1 A sketch map of river network in the studied area and the Manan Gauging Station (MGS) Data and methods Datasets.In this study, the monthly water discharge data and monthly sediment load data observed at MGS were used to analysis change trends.
All hydrological data were provided by the Yunnan Hydrology and Water Resources Bureau.
The quality of the hydrological data was firmly controlled before its release.
The sediment load data used in this paper refer to suspended sediment.
Fig.1 A sketch map of river network in the studied area and the Manan Gauging Station (MGS) Data and methods Datasets.In this study, the monthly water discharge data and monthly sediment load data observed at MGS were used to analysis change trends.
All hydrological data were provided by the Yunnan Hydrology and Water Resources Bureau.
The quality of the hydrological data was firmly controlled before its release.
The sediment load data used in this paper refer to suspended sediment.
Online since: September 2014
Authors: Li Liu, Li Yan, Yao Cheng Xie
Noise reduction and compression of spectra data was done by wavelet transform (WT).
The original data were denoised by WT.
For each sample, NIR included 601 spectrum data.
If these 601 spectral data were all used, the dimension of input data would be very large and result in low speed of computer treatment.
WT was used for the noise reduction and compression of spectra data.
The original data were denoised by WT.
For each sample, NIR included 601 spectrum data.
If these 601 spectral data were all used, the dimension of input data would be very large and result in low speed of computer treatment.
WT was used for the noise reduction and compression of spectra data.
Online since: February 2014
Authors: Tatsuo Fujimoto, Hiroshi Tsuge, Masashi Nakabayashi, Kiyoshi Kojima, Kozo Abe, Kohta Shimomura
Normal elastic moduli for the major crystal axis directions were measured by the acoustic wave velocity method, and the residual normal stresses were then finally calculated from these data.
Results and discussions Fig.2 An example of {00012} diffraction data measured in this work.
Fig.2 shows an example of {00012} diffraction data, the maximum measured FWHM of 16.2 arcsec confirms its high crystal quality.
The lattice constants calculated from the diffraction data are shown in Table 1.
Fig. 4 shows the circumferential stress calculated from the data in table 3.
Results and discussions Fig.2 An example of {00012} diffraction data measured in this work.
Fig.2 shows an example of {00012} diffraction data, the maximum measured FWHM of 16.2 arcsec confirms its high crystal quality.
The lattice constants calculated from the diffraction data are shown in Table 1.
Fig. 4 shows the circumferential stress calculated from the data in table 3.
Online since: February 2019
Authors: A.D. Danilov, P.P. Petrov, Ksenia V. Stepanova
The alloy with respect to the chemical composition is naturally doped Mn, W, V, which are well preserved in the preparation of the iron semi-finished product by direct reduction technology.
Elemental analysis data indicate a uniform distribution of iron, carbon, manganese, sulfur and phosphorus in the alloy.
The content of microelements of non-ferrous metals in the ore from the data of atomic emission analysis with inductively coupled plasma is given in Table 2.
After the corresponding ore dressing procedures, a direct reduction method was used to produce the ferroalloy, which was subsequently used as a charge for alloying.
Elemental analysis data indicate a uniform distribution of iron, carbon, manganese, sulfur and phosphorus in the alloy (Fig. 3).
Elemental analysis data indicate a uniform distribution of iron, carbon, manganese, sulfur and phosphorus in the alloy.
The content of microelements of non-ferrous metals in the ore from the data of atomic emission analysis with inductively coupled plasma is given in Table 2.
After the corresponding ore dressing procedures, a direct reduction method was used to produce the ferroalloy, which was subsequently used as a charge for alloying.
Elemental analysis data indicate a uniform distribution of iron, carbon, manganese, sulfur and phosphorus in the alloy (Fig. 3).
Online since: March 2016
Authors: Wei Wang, Ya Li Wang, Yun Ning Zhang, Yi Ning Zhao, Su Ping Cui
From these data, the effects of CaO on NO reduction by NH3 and NH3 oxidation were analyzed.
The results based on data derived from the spectral line are summarized in Table 1.
Xu, Effect of sulfated CaO on NO reduction by NH3 in the presence of excess oxygen,J.
Xu, DRIFTS study of ammonia activation over CaO and sulfated CaO for NO reduction by NH3, J.
Xu, Effects of water vapor, CO2 and SO2 on the NO reduction by NH3 over sulfated CaO, J.
The results based on data derived from the spectral line are summarized in Table 1.
Xu, Effect of sulfated CaO on NO reduction by NH3 in the presence of excess oxygen,J.
Xu, DRIFTS study of ammonia activation over CaO and sulfated CaO for NO reduction by NH3, J.
Xu, Effects of water vapor, CO2 and SO2 on the NO reduction by NH3 over sulfated CaO, J.
Online since: September 2014
Authors: Evgeniy Valerjevich Korolev, Alexandr Sergeevich Inozemtcev
The method of calculation of economic efficiency of concrete by means of reduction of total construction weight and increasing of floors’ number is proposed.
It is shown that economical calculation for developed material which is based only on the cost of the material itself does not allow to obtain adequate data concerning prospect and competitiveness of the material.
Calculation is based on the reduction of the total weight of heavy concrete products, which in turn based on the assumption that reducing the load on the bases and foundations allows increasing the number of floors of the building which leads to more useful ground space utilization and to the reduction of costs per construction of unit area.
So, when using high-strength lightweight concrete of strength class B50 and A400 reinforcing steel rebar the reduction of consumption of 30% can be achieved.
Designated approach allows us to conclude that the direct calculation of the cost of the material by the prime cost does not provide objective data concerning the prospects of the development and its competitiveness.
It is shown that economical calculation for developed material which is based only on the cost of the material itself does not allow to obtain adequate data concerning prospect and competitiveness of the material.
Calculation is based on the reduction of the total weight of heavy concrete products, which in turn based on the assumption that reducing the load on the bases and foundations allows increasing the number of floors of the building which leads to more useful ground space utilization and to the reduction of costs per construction of unit area.
So, when using high-strength lightweight concrete of strength class B50 and A400 reinforcing steel rebar the reduction of consumption of 30% can be achieved.
Designated approach allows us to conclude that the direct calculation of the cost of the material by the prime cost does not provide objective data concerning the prospects of the development and its competitiveness.