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Online since: June 2013
Authors: Yuan Wang, Duo Nian Yu, Jun Wei She
In this paper, we simulate the process of a metal material quasi-static tensile test based on ABAQUS to discuss the accuracy of simulation data with experimental data.
The simulation data is compared with the quasi-static tensile test data of a new kind of aluminum and the verification of accuracy is based on numerical fitting method.
With the test data all the performance indicators can be determined including elastic limit, elongation, MOE, proportional limit, area reduction, tensile strength, yield point, yield strength etc [1].
Texting Data The most advanced high speed camera tensile system is used in this research.
Finally the displacement-force curves as Fig.3 shows could be drawn by data statistics software.
The simulation data is compared with the quasi-static tensile test data of a new kind of aluminum and the verification of accuracy is based on numerical fitting method.
With the test data all the performance indicators can be determined including elastic limit, elongation, MOE, proportional limit, area reduction, tensile strength, yield point, yield strength etc [1].
Texting Data The most advanced high speed camera tensile system is used in this research.
Finally the displacement-force curves as Fig.3 shows could be drawn by data statistics software.
Online since: December 2011
Authors: Bin Yao, Bo Shi Yao, Fei Li, Xiao Qing Tan, Wen Hui He, Xiang Lei Zhang, Zhe Shan Zhang
According to the results of analysis, find out the weak areas in the bed and conduct the weight-lowing optimization on the condition of no reduction of static and dynamic characteristic of the bed.
This paper draws the conclusion of reduction of weight of 143.42kg and materials of 7.73%.
After the extraction of the deformation data of the guide rail displacement, it is seen that the maximum displacement change of the guide rail is the same and the precision meets the requirement.
Finally, the optimization scheme is proposed with the reduction of weight of 143.42kg and materials of 7.73%
This paper draws the conclusion of reduction of weight of 143.42kg and materials of 7.73%.
After the extraction of the deformation data of the guide rail displacement, it is seen that the maximum displacement change of the guide rail is the same and the precision meets the requirement.
Finally, the optimization scheme is proposed with the reduction of weight of 143.42kg and materials of 7.73%
Online since: August 2014
Authors: Hui Yun Teng, Hai Liang Lu, Yang Hua Gao
The regional logistics information platform has enormous external benefits, it is able to integrate logistics resources, reduce logistics costs and promote energy-saving emission reduction.
The index system is shown in Fig. 1: Fig.1 Evaluation index system about logistics information platform's external effects Principal Components Analysis Evaluation of the External Effect Principal components analysis is based on the actual observation of multiple index value, it only needs little comprehensive index instead of many original data through reducing the dimensionality of complex data sets, and provides much information as possible as much as possible.
The basic steps of the principal components analysis are: (1) construction of matrixes, (2) standardization of original data, (3) calculate the correlation matrix, (4) judge the feasibility of principal components analysis, (5) solve the correlation matrix, compute the eigenvalues and eigenvectors, (6) calculate the contribution rate of the eigenvalues, (7) determine the main principal components, (8) calculate the comprehensive evaluation index.
First, all of the index data can be quantified, the weight of index can also be calculated.
The index system is shown in Fig. 1: Fig.1 Evaluation index system about logistics information platform's external effects Principal Components Analysis Evaluation of the External Effect Principal components analysis is based on the actual observation of multiple index value, it only needs little comprehensive index instead of many original data through reducing the dimensionality of complex data sets, and provides much information as possible as much as possible.
The basic steps of the principal components analysis are: (1) construction of matrixes, (2) standardization of original data, (3) calculate the correlation matrix, (4) judge the feasibility of principal components analysis, (5) solve the correlation matrix, compute the eigenvalues and eigenvectors, (6) calculate the contribution rate of the eigenvalues, (7) determine the main principal components, (8) calculate the comprehensive evaluation index.
First, all of the index data can be quantified, the weight of index can also be calculated.
Online since: June 2013
Authors: Cheng Hua Ou, Qiang Han, Wen Jiang Zhou
The method is divided into three steps: i the core data analysis results are used to calibrate the interpretation about logs of well, ii the well log interpreted results are used to mark seismic data, iii the abundant seismic data is used to forecast overseas offshore reservoir quickly.
Sedimentary facies analysis Analysis of core data.
A limited number of core data was used for rock characteristics analysis. for example, Water oxidation/reduction extent was analyzed by the rock color, the strength of the water movement capacity was sentenced by rock granularity data analysis, and type of sedimentary facies was sentenced by the sedimentary structures study.
Relations between core data and log curve of Single well.
Relations between series of core data and log curve in the same depth were studied by the standards facies model from core data.
Sedimentary facies analysis Analysis of core data.
A limited number of core data was used for rock characteristics analysis. for example, Water oxidation/reduction extent was analyzed by the rock color, the strength of the water movement capacity was sentenced by rock granularity data analysis, and type of sedimentary facies was sentenced by the sedimentary structures study.
Relations between core data and log curve of Single well.
Relations between series of core data and log curve in the same depth were studied by the standards facies model from core data.
Online since: July 2010
Authors: T. Maiyalagan, Sivakumar Pasupathi
Table 5: Summary of data on CO tolerant anodes.
Table 6: Summary of data on Pt based cathodes.
Table 7: Summary of the data on Non-Pt based cathodes.
Summary of the data on catalyst supports.
[47] Ion Power Homepage, Nafion® Material Safety Data Sheet (MSDS).
Table 6: Summary of data on Pt based cathodes.
Table 7: Summary of the data on Non-Pt based cathodes.
Summary of the data on catalyst supports.
[47] Ion Power Homepage, Nafion® Material Safety Data Sheet (MSDS).
Online since: January 2016
Authors: Nathalie Guichard, Françoise Immel, Frédéric Marin, Alexandre Parker, Cédric Broussard
Our preliminary data suggest that nacre proteins, when heated at 100°C in dry condition, degrade rather slowly.
Our preliminary data suggest that nacre proteins, when heated at 100°C in dry condition, degrade rather slowly. 2.
Proteomic data acquired on the insoluble matrix (AIM) of unheated (T0 II and T0 III) and heated samples (T1, T5, T7, and T10).
Note the general tendency to the reduction of the number of identified proteins (except T7) and to the reduction of the number of identified peptides per protein (right column). 4.
In addition, what the proteomic data show is that some proteins are more persistent than others, which suggest also a differential degradation of the proteins within the insoluble matrix.
Our preliminary data suggest that nacre proteins, when heated at 100°C in dry condition, degrade rather slowly. 2.
Proteomic data acquired on the insoluble matrix (AIM) of unheated (T0 II and T0 III) and heated samples (T1, T5, T7, and T10).
Note the general tendency to the reduction of the number of identified proteins (except T7) and to the reduction of the number of identified peptides per protein (right column). 4.
In addition, what the proteomic data show is that some proteins are more persistent than others, which suggest also a differential degradation of the proteins within the insoluble matrix.
Online since: February 2014
Authors: In Kyu Kwon
In Figure 1(a), SM 520 represented the reduction of yield strength was more rapid than others.
In figure 1(b), Eurocode 3 showed a lower reduction rate than data from SM 520, SM 570.
(3) SM 520 showed a slightly rapid reduction of yield strength than that of Eurocode 3.
In figure 1(b), Eurocode 3 showed a lower reduction rate than data from SM 520, SM 570.
(3) SM 520 showed a slightly rapid reduction of yield strength than that of Eurocode 3.
Online since: December 2014
Authors: Lei Zhang, Luo Wang, Xiao Bo Chen, Jia Jing Sun
They anticipated nitrite/nitrate reduction of anammox bacteria, and enhanced the anammox process.
All the added acetate was consumed in R2 during this period (Data not shown).
Nitrate reduction must take place based on this phenomenon.
It could be oxidized to CO2 with nitrite or nitrate, and part of the nitrite or nitrate was converted to ammonium through dissimilary reduction.
All the added acetate was consumed in R2 during this period (Data not shown).
Nitrate reduction must take place based on this phenomenon.
It could be oxidized to CO2 with nitrite or nitrate, and part of the nitrite or nitrate was converted to ammonium through dissimilary reduction.
Online since: June 2014
Authors: Bo Long Li, Mian Li, Ying Chao Li, Tong Bo Wang, Zuo-Ren Nie
What’s more, the amount of dislocation boundaries resulted from the accumulation of the rolling reduction[6].
As-annealed commercial pure titanium was cold rolled multi-pass by two-roll rolling machine, and the accumulated reductions was 25%.
The changes of crystal orientation, grain size and morphology, and the misorientation distribution fraction (excluded data of less than 2°) were obtained before and after cold rolling.
Fig.4 The distribution of ASB at the reduction of 25% after impact; a) as-annealed, b) as-cold rolled Fig. 5 The microstructure of matrix zone in titanium after impact; a) as-annealed b) as-cold rolled Fig. 6 The dynamic recrystallization in the center of ASB Conclusions 1) The adiabatic shear sensitivity in as-cold rolled plates is more larger than that in annealed state, which is attributed to the formation of dislocation boundaries. 2) The crystal orientation in as-annealed titanium reveals {0001} basal texture deviated from ideal position about 30°,while a strong ideal {0001} basal texture was formed in the cold rolled states. 3) Under the condition of the high speed compression at the stain rate of 3400/s, the ASB and dynamic recrystallization is the characteristic microstructure in as-annealed and as-cold rolled titanium.
As-annealed commercial pure titanium was cold rolled multi-pass by two-roll rolling machine, and the accumulated reductions was 25%.
The changes of crystal orientation, grain size and morphology, and the misorientation distribution fraction (excluded data of less than 2°) were obtained before and after cold rolling.
Fig.4 The distribution of ASB at the reduction of 25% after impact; a) as-annealed, b) as-cold rolled Fig. 5 The microstructure of matrix zone in titanium after impact; a) as-annealed b) as-cold rolled Fig. 6 The dynamic recrystallization in the center of ASB Conclusions 1) The adiabatic shear sensitivity in as-cold rolled plates is more larger than that in annealed state, which is attributed to the formation of dislocation boundaries. 2) The crystal orientation in as-annealed titanium reveals {0001} basal texture deviated from ideal position about 30°,while a strong ideal {0001} basal texture was formed in the cold rolled states. 3) Under the condition of the high speed compression at the stain rate of 3400/s, the ASB and dynamic recrystallization is the characteristic microstructure in as-annealed and as-cold rolled titanium.