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Online since: March 2019
Authors: Yen Ta Hsieh, Chun Hsuan Kao, Shun Yu Shao, Chia Hao Hsu, Chao Cheng Chang
All drawing dies used the same configurations which include an area reduction ratio of 20 percent, an approach angle of 7°, and a bearing length of 0.5 times the feeding wire diameter.
The measured data and hardness-stain reference curve of the copper are presented in Fig. 3.
Data for simulations Parameter Value/Condition Initial wire dimension, dia. × length (mm) ϕ8 × 12 Geometric model axisymmetric Stress curve (MPa) s = 371.7e0.4582 Friction factors 0.098 ~ 0.167 Elastic modulus (GPa) 110 Possion’s ratio 0.35 Approach angle (°) 7 Bearing length (d = feeding diameter) 0.5d Number of elements 5000 approx.
The measured data and hardness-stain reference curve of the copper are presented in Fig. 3.
Data for simulations Parameter Value/Condition Initial wire dimension, dia. × length (mm) ϕ8 × 12 Geometric model axisymmetric Stress curve (MPa) s = 371.7e0.4582 Friction factors 0.098 ~ 0.167 Elastic modulus (GPa) 110 Possion’s ratio 0.35 Approach angle (°) 7 Bearing length (d = feeding diameter) 0.5d Number of elements 5000 approx.
Online since: October 2004
Authors: Carlos Capdevila, C. Carcía de Andrés, David San Martín, Francisca G. Caballero
The driving force for grain growth results from the decrease in the
free energy associated with the reduction in total grain boundary energy.
Data corresponding to steels from the work of Palmiere et al and Cuddy et al have similar amount of Ceq=0.07-0.09 and were obtained after heating for 30 minutes at the corresponding austenitizing temperature.
The discrepancy observed in Fig. 5 between data by Gladman et al and the other authors is probably due to the difference in the size of carbonitrides.
Data corresponding to steels from the work of Palmiere et al and Cuddy et al have similar amount of Ceq=0.07-0.09 and were obtained after heating for 30 minutes at the corresponding austenitizing temperature.
The discrepancy observed in Fig. 5 between data by Gladman et al and the other authors is probably due to the difference in the size of carbonitrides.
Online since: December 2012
Authors: Pawan Tyagi
At higher temperature close to room temperature, typical magnetization data was noisy.
FMR data for the bare Ta/CoNiFe/AlOx/NiFe/Ta reported here was recorded from the different sample.
Fig. 8 MFM study of MEMSD-B: (a) Topographical image showing height data of MEMSDs and (b) corresponding magnetic force images were produced by using phase data.
MFM images were produced by plotting the phase data over the scanned area.
We utilized high contrast phase images as the reference to discuss the majority of low contrast data (Fig. 8b).
FMR data for the bare Ta/CoNiFe/AlOx/NiFe/Ta reported here was recorded from the different sample.
Fig. 8 MFM study of MEMSD-B: (a) Topographical image showing height data of MEMSDs and (b) corresponding magnetic force images were produced by using phase data.
MFM images were produced by plotting the phase data over the scanned area.
We utilized high contrast phase images as the reference to discuss the majority of low contrast data (Fig. 8b).
Online since: July 2014
Authors: Qiang Wang, Yong Bao Liu, Xing He, Shu Yong Liu, Jian Hua Liu
Principal Component Analysis (PCA) is a very effective and popular unsupervised data-driven multivariate statistical method for feature extraction, dimensionality reduction and process monitoring.
represents the kernel matrix for the testing data points.
The specification of bearing data is listed in Table.1.
Integration of these feature attribute data, a total of 120 sets of data were four categories, as fault diagnosis of input data.
Raw data As indicated in Figure12 bearing the four fault signal data, inner ring fault level two data signal and inner ring fault level three data signals, bearing the lap data for a sample of (512), the above equation 12-24 , 13 characteristic parameters, feature extraction, training sample were 120 groups, training and test samples taken 60 group, diagnose, diagnosis above flowchart design result is shown in Fig.3.
represents the kernel matrix for the testing data points.
The specification of bearing data is listed in Table.1.
Integration of these feature attribute data, a total of 120 sets of data were four categories, as fault diagnosis of input data.
Raw data As indicated in Figure12 bearing the four fault signal data, inner ring fault level two data signal and inner ring fault level three data signals, bearing the lap data for a sample of (512), the above equation 12-24 , 13 characteristic parameters, feature extraction, training sample were 120 groups, training and test samples taken 60 group, diagnose, diagnosis above flowchart design result is shown in Fig.3.
Online since: October 2006
Authors: Yeon Soo Kim, H.J. Ryu, G.L. Hofman
The model correlation was established and
fitted to the in-reactor data.
Data obtained from various in-reactor tests were used.
Discussion Figure 7 shows a comparison of diffusion rate constants between out-of-pile annealing test data and irradiation test data from various tests.
For the irradiation test data, however, the plot shows a curvature.
The irradiation test data were divided with the square root of their fission rate factors to compare with the out-of-pile data.
Data obtained from various in-reactor tests were used.
Discussion Figure 7 shows a comparison of diffusion rate constants between out-of-pile annealing test data and irradiation test data from various tests.
For the irradiation test data, however, the plot shows a curvature.
The irradiation test data were divided with the square root of their fission rate factors to compare with the out-of-pile data.
Online since: August 2011
Authors: Zhi Bo Yan, Hong Wei Chen
Access to data is the first step in reverse engineering, and only accurate three-dimensional surface data to complete reverse engineering.
As the object of data collection sample, measured data fitted surface does not directly as a mold punch and die, or core, cavity model, CAD systems often use these data to be modified.
Use of coordinate measuring machines and laser scanning data obtained are scattered cloud data, there is usually a large random error.
The rules of cloud data into an ordered data set of quadrilateral mesh, easy to shape the formation of many pieces of data blocks.
a) Construction and analysis of the curve Smooth curve through the point data reduction and screening, the curve will be a "jitter" phenomenon.
As the object of data collection sample, measured data fitted surface does not directly as a mold punch and die, or core, cavity model, CAD systems often use these data to be modified.
Use of coordinate measuring machines and laser scanning data obtained are scattered cloud data, there is usually a large random error.
The rules of cloud data into an ordered data set of quadrilateral mesh, easy to shape the formation of many pieces of data blocks.
a) Construction and analysis of the curve Smooth curve through the point data reduction and screening, the curve will be a "jitter" phenomenon.
Online since: December 2014
Authors: Svetlana Butylina, Marko Hyvärinen, Timo Kärki
Charpy impact strength of all studied composites was found to retain after 2000 hours of outdoor weathering, although accelerated weathering caused significant reduction of Charpy impact strength of these composites.
To determine the effect of weathering on the Charpy impact strength of the composites, a two-sample t-test was carried out with the α significance value of 0.05, comparing the weathered and non-weathered data.
Iron oxide pigment had impact on reduction of Charpy impact strength of composites after exposure to xenon-arc source.
To determine the effect of weathering on the Charpy impact strength of the composites, a two-sample t-test was carried out with the α significance value of 0.05, comparing the weathered and non-weathered data.
Iron oxide pigment had impact on reduction of Charpy impact strength of composites after exposure to xenon-arc source.
Online since: July 2013
Authors: Hui Xuan Shi, Jin Qian, Xiao Bo Liu, Xiao Li Liu
Considering the oxidation-reduction reactions of SO2 electrochemical sensor during detection, the methodology of utilizing the air in the electrical device is proposed based on the tests of serving devices.
And utilization of air in electrical device is proposed based on the test data analysis of serving devices in order to meet the oxidation-reduction reactions of SO2 electrochemical sensor during detection.
And utilization of air in electrical device is proposed based on the test data analysis of serving devices in order to meet the oxidation-reduction reactions of SO2 electrochemical sensor during detection.
Online since: December 2013
Authors: Yi Tian Li, Li Bing Huang
Fig.1 The study area
Data processing.
The data[12-14] can be divided to four sections according to the period(Table 1).
Table 1 Suspended sediment concentration data The hydrodynamic conditions in the study area.
Fig.7 The vertical distribution of the SSC The effect of suspended sediment distribution with the reduction of the sediment into sea in the offshore area According to the measured data of Datong, the sediment which is from river into sea has the significant reduced trend since 1950.
Fig.8 The variation trend of SSC In other way, it averages the data from 1959 to 2000 and the data from 2001 to 2010, and compares the two (Fig.9).
The data[12-14] can be divided to four sections according to the period(Table 1).
Table 1 Suspended sediment concentration data The hydrodynamic conditions in the study area.
Fig.7 The vertical distribution of the SSC The effect of suspended sediment distribution with the reduction of the sediment into sea in the offshore area According to the measured data of Datong, the sediment which is from river into sea has the significant reduced trend since 1950.
Fig.8 The variation trend of SSC In other way, it averages the data from 1959 to 2000 and the data from 2001 to 2010, and compares the two (Fig.9).
Online since: November 2012
Authors: Yang Song Zhang, Ruo Yao Li, Fan Wen
The mobile station not only collects data from reference station through the data chain, but also gathers the GPS observation data, and composes the differential observations in system to perform real-time processing.
The mobile station not only collects data from reference station through the data chain, but also gathers the GPS observation data, and composes the differential observations in system to perform real-time processing.
Processing of GPS measurement data Data processing is consisted of data reduction, checking, adjustment and representation of results.
These tasks were computer-aided and thus the logged data had to be downloaded from the internal memory from a data collector into a personal computer.
Therefore, in the survey of discontinuity traces, using the GPS-RTK technology to collect field data, edit spatial data.
The mobile station not only collects data from reference station through the data chain, but also gathers the GPS observation data, and composes the differential observations in system to perform real-time processing.
Processing of GPS measurement data Data processing is consisted of data reduction, checking, adjustment and representation of results.
These tasks were computer-aided and thus the logged data had to be downloaded from the internal memory from a data collector into a personal computer.
Therefore, in the survey of discontinuity traces, using the GPS-RTK technology to collect field data, edit spatial data.