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Online since: December 2006
Authors: Hae Sug Yang, Byung Chai Lee
Joints between dissimilar metals are commonly used for the purpose of
tailoring component properties or for weight reduction.
To obtain the data of the temperature distributions of the weldment, thermal analyses were performed during a complete cooling to ambient temperature.
The analyzed data show that the measured temperatures are biased to the right side, and that the peak temperature is higher because of a more elongated pulse duration reading through the average power, as shown in Fig. 4(c).
A pulse heat input model was developed to avoid numerical convergence problems due to the instantaneous increase in temperature near the MPZ, however, most of the analyzed temperatures are very similar to those from the experimental data.
In this study, the predicted melt-pool zone shapes and residual stresses considering various gap widths were found to be in close agreement with the experimental data.
To obtain the data of the temperature distributions of the weldment, thermal analyses were performed during a complete cooling to ambient temperature.
The analyzed data show that the measured temperatures are biased to the right side, and that the peak temperature is higher because of a more elongated pulse duration reading through the average power, as shown in Fig. 4(c).
A pulse heat input model was developed to avoid numerical convergence problems due to the instantaneous increase in temperature near the MPZ, however, most of the analyzed temperatures are very similar to those from the experimental data.
In this study, the predicted melt-pool zone shapes and residual stresses considering various gap widths were found to be in close agreement with the experimental data.
Online since: January 2012
Authors: Tong Sheng Mou, Hai Yan Xi, Ye Tian
The requirements are for reference testing equipment, to further promote the quality parameters of the identified monitor display market evaluation to ensure that more data are available.
Data acquisition system is mainly used to draw the test results, shows the response time LCD curve.
With specific data, analysis and evaluation of tests and simulations will be directly integrated with the test system.
Simulation tests using the above method for velocity matching simulated images to obtain the corresponding fuzzy width, the final results of these two sets of similar data analysis to determine their degrees.
The test system will be beneficial for the movement of artifacts provided a standard test method, test instruments are presented for reference to further promote the quality parameters of the monitor display market evaluation determined to ensure that more data are available.
Data acquisition system is mainly used to draw the test results, shows the response time LCD curve.
With specific data, analysis and evaluation of tests and simulations will be directly integrated with the test system.
Simulation tests using the above method for velocity matching simulated images to obtain the corresponding fuzzy width, the final results of these two sets of similar data analysis to determine their degrees.
The test system will be beneficial for the movement of artifacts provided a standard test method, test instruments are presented for reference to further promote the quality parameters of the monitor display market evaluation determined to ensure that more data are available.
Online since: June 2010
Authors: R. Cooper, O.S. David-West, J. Wang
The most important task in model updating is the determination of the changes to be made to the
numerical model and hence, maximise the correlation between the numerical and experimental data.
The box was excited with an instrumented hammer, as recommended in BS 6897 [11] and the vibration data of the excited structure were acquired via a portable digital laser vibrometer (PDV 100) focused on strategic points on the structure.
Correlation of Results The data for the correlation analysis are the natural frequencies of the box obtained from the excitation response test and the finite element analysis.
The vibration was generated by the energy input into the structure using an instrumented hammer and the vibration data picked by the use of a laser vibrometer.
[5] Friswell, M I; Mottershead J E and Ahmadian, H; 'Finite-element Model Updating using Experimental Test Data: Parametrization and Regularization', Phil.
The box was excited with an instrumented hammer, as recommended in BS 6897 [11] and the vibration data of the excited structure were acquired via a portable digital laser vibrometer (PDV 100) focused on strategic points on the structure.
Correlation of Results The data for the correlation analysis are the natural frequencies of the box obtained from the excitation response test and the finite element analysis.
The vibration was generated by the energy input into the structure using an instrumented hammer and the vibration data picked by the use of a laser vibrometer.
[5] Friswell, M I; Mottershead J E and Ahmadian, H; 'Finite-element Model Updating using Experimental Test Data: Parametrization and Regularization', Phil.
Online since: May 2006
Authors: Mikhail V. Patrakeev, Vladislav V. Kharton, V.L. Kozhevnikov, I.A. Leonidov
The absolute values of oxygen content in air, used as reference for the coulometric
titration data, were obtained by thermogravimetry (Setaram TG92) employing reduction in a dried
95%He-5%H2 gas flow.
Unit cell parameters and oxygen nonstoichiometry of perovskite phases equilibrated in air Symmetry a/Å c/Å 3-δ SrFeO3-δ Tetragonal 10.936(2) 7.709(5) 2.84 SrFe0.9Cr0.1O3-δ Cubic 3.9045(6) 2.88 SrFe0.9Ti0.1O3-δ Cubic 3.865 2.91 SrFe0.9Al0.1O3-δ Pseudocubic* 3.882(6) 2.81 * Rhombohedral distortion cannot be excluded Results and discussion The results of electrical measurements, including the data on undoped SrFeO3-δ [8], are presented in Fig.1.
Equation (1) adequately describes experimental data, as illustrated by solid lines in Fig.1, and was hence used to evaluate the partial conductivities.
The data on ion conductivity at reduced oxygen pressures are shown in Fig.2.
Similar conclusion was drawn from the Mössbauer spectroscopy data, which will be summarized in a separate paper.
Unit cell parameters and oxygen nonstoichiometry of perovskite phases equilibrated in air Symmetry a/Å c/Å 3-δ SrFeO3-δ Tetragonal 10.936(2) 7.709(5) 2.84 SrFe0.9Cr0.1O3-δ Cubic 3.9045(6) 2.88 SrFe0.9Ti0.1O3-δ Cubic 3.865 2.91 SrFe0.9Al0.1O3-δ Pseudocubic* 3.882(6) 2.81 * Rhombohedral distortion cannot be excluded Results and discussion The results of electrical measurements, including the data on undoped SrFeO3-δ [8], are presented in Fig.1.
Equation (1) adequately describes experimental data, as illustrated by solid lines in Fig.1, and was hence used to evaluate the partial conductivities.
The data on ion conductivity at reduced oxygen pressures are shown in Fig.2.
Similar conclusion was drawn from the Mössbauer spectroscopy data, which will be summarized in a separate paper.
Materials Flows Analysis on the Beneficiation and Roasting Processes of a Typical Rare Earth Mineral
Online since: March 2016
Authors: Xian Zheng Gong, Xiao Qing Li, Zhi Hong Wang, Wen Juan Chen, Chuan Qiu, Feng Gao
This paper studies on the Bayan Obo mine production process, based on materials flow assessment (MFA), and provided theoretical orientation and data supporting for the rare earth industry’s cleaner production.
Import / export Fabrication manufacturing Production Mill, Refinery Use Waste management Lithosphere Environment Fig. 1 Framework of STAF Exhaust gas Refinery Resources Product Output Energy Litter Fig. 2 Framework of economy wide MFA Data Acquisition and Calculation Date acquisition.
Table 2 List of processing 1 ton of concentrate energy consumption oil t 0.20 coal t 0.50 material consumption sulfuric acid concentration 98%,t 1.4 rare earth concentrate REO50%,t 1 iron powder t 0.06 magnesium oxide t 0.20 industrial water m3 12.0 pollutant sulfuric acid mist kg 150 SO2 kg 600 fluoride kg 30 dust kg 50 separation slag radioactive(Th),t 0.6 production rare earth sulfate Concentration 38g/L, m3 12.3 Data calculation.
Processing the data above, I made a stocks and flows (STAF) framework of rare earth mineral processing.
Fig. 4 STAF framework of rare earth mineral processing /t REO In the same way, a economy wind MFA about roasting processes was made using the data above.
Import / export Fabrication manufacturing Production Mill, Refinery Use Waste management Lithosphere Environment Fig. 1 Framework of STAF Exhaust gas Refinery Resources Product Output Energy Litter Fig. 2 Framework of economy wide MFA Data Acquisition and Calculation Date acquisition.
Table 2 List of processing 1 ton of concentrate energy consumption oil t 0.20 coal t 0.50 material consumption sulfuric acid concentration 98%,t 1.4 rare earth concentrate REO50%,t 1 iron powder t 0.06 magnesium oxide t 0.20 industrial water m3 12.0 pollutant sulfuric acid mist kg 150 SO2 kg 600 fluoride kg 30 dust kg 50 separation slag radioactive(Th),t 0.6 production rare earth sulfate Concentration 38g/L, m3 12.3 Data calculation.
Processing the data above, I made a stocks and flows (STAF) framework of rare earth mineral processing.
Fig. 4 STAF framework of rare earth mineral processing /t REO In the same way, a economy wind MFA about roasting processes was made using the data above.
Online since: December 2011
Authors: Xin Wang, Shun De Gao, Qi Lu Huang, Rui Jie Li
Data characters of qualitative indices can not be analyzed as the ones of quantitative indices.
Entropy reduction.
Entropy is a term of the thermodynamics and is known as entropy in information theory, which is a measure of information.is the measured data of the j-th index in the i-th system.
Data variance is used to represent the index information content in some analysis methods.
To make all indices are of a unified measurement standards, the raw data of samples are standardized.
Entropy reduction.
Entropy is a term of the thermodynamics and is known as entropy in information theory, which is a measure of information.is the measured data of the j-th index in the i-th system.
Data variance is used to represent the index information content in some analysis methods.
To make all indices are of a unified measurement standards, the raw data of samples are standardized.
Online since: January 2012
Authors: Shu Ting Du, Jin Zhu Ma, Dong Wang
According to the dry density and other data of mixed soil , according to formula (1), the porosity of mixed soil under the same compaction degree condition in the state of maximum dry density has been calculated, as shown in table 3
In addition, if the specimen placed into 90 days later under natural conditions, its thermal conductivity has a certain degree of reduction.
Through the test data it can be seen that the shear strength of rammed earth is obviously improved than simple soil and sand mixture after adding a certain amount of additive lime, but no longer increases and even has a downward trend when the hydrated lime content increased to 15%.
Through analyzing experimental data, the following conclusions can be drawn: In the case of thermal properties, when the mix proportion of hydrated lime in 15% , the thermal conductivity and thermal diffusivity of rammed earth was maximum.
In addition, the strength of rammed earth is affected by various factors, the maximum dry density and optimum moisture content of mixed rammed earth may be rapidly tested according to the site conditions, through the test data the moisture content will be controlled and the appropriate additive content was determined in order to provide a strong basis for rammed earth building construction[2].
In addition, if the specimen placed into 90 days later under natural conditions, its thermal conductivity has a certain degree of reduction.
Through the test data it can be seen that the shear strength of rammed earth is obviously improved than simple soil and sand mixture after adding a certain amount of additive lime, but no longer increases and even has a downward trend when the hydrated lime content increased to 15%.
Through analyzing experimental data, the following conclusions can be drawn: In the case of thermal properties, when the mix proportion of hydrated lime in 15% , the thermal conductivity and thermal diffusivity of rammed earth was maximum.
In addition, the strength of rammed earth is affected by various factors, the maximum dry density and optimum moisture content of mixed rammed earth may be rapidly tested according to the site conditions, through the test data the moisture content will be controlled and the appropriate additive content was determined in order to provide a strong basis for rammed earth building construction[2].
Online since: September 2013
Authors: Jing Gong, Ming Huang, Li Sheng Liu
By combining frequency data with growth characteristics (rhizomatous, stoloniferous or bunchgrass), warm or cool season grass, and habitat preferences, the species most frequently found across counties and recorded in the widest range of habitats were selected.
This reduction of mixtures evaluated was due to the fact that the RY species, big galleta (Pleuraphis rigida), was eliminated from the study after preliminary tests revealed poor germination.
Monthly settings for each growth chamber were determined by calculating the mean minimum and maximum temperature and mean relative humidity data from historical data obtained from the Western Regional Climate Center for weather stations within each respective ecoregion.
Where significant differences existed, data from the differing ecoregion(s) were separated.
Data from all other ecoregions were combined.
This reduction of mixtures evaluated was due to the fact that the RY species, big galleta (Pleuraphis rigida), was eliminated from the study after preliminary tests revealed poor germination.
Monthly settings for each growth chamber were determined by calculating the mean minimum and maximum temperature and mean relative humidity data from historical data obtained from the Western Regional Climate Center for weather stations within each respective ecoregion.
Where significant differences existed, data from the differing ecoregion(s) were separated.
Data from all other ecoregions were combined.
Online since: January 2013
Authors: Xin Wang, Kok Cheong Wong, Jong Boon Ooi, Ying Pio Lim, Ching Seong Tan, Jee Hou Ho
This shows further reduction of element size beyond 5 mm can be omitted and 5mm element size is considered for mesh settings.
Firstly, the shaft is preassembled with a strain gage rosettes that provide shear strain data.
The data were acquired using a LabVIEW programme.
The analog voltage signals from the strain gauge module are then sent to a NI PCI-6056E data acquisition board (DAQ) in the notebook where it acts to convert the analog signal to a digital signal.
All of the data files were recorded in LabVIEW and the experimental results of the measured shear stress of the shaft are collected and plotted.
Firstly, the shaft is preassembled with a strain gage rosettes that provide shear strain data.
The data were acquired using a LabVIEW programme.
The analog voltage signals from the strain gauge module are then sent to a NI PCI-6056E data acquisition board (DAQ) in the notebook where it acts to convert the analog signal to a digital signal.
All of the data files were recorded in LabVIEW and the experimental results of the measured shear stress of the shaft are collected and plotted.
Online since: December 2012
Authors: Wei Liu, Hong Xia Du, Li Wang, Hui Shi, Jing Liu, Jun Zhang
Methods and data collection
Calculation of Ecological footprint bases on a hypothesis and the two basic principles.
The world average productivity of all types of land adopts the statistical data from the United Nations food and agricultural organization [11].
The data of the electricity consumption, natural gas consumption, water consumption, food consumption and waste discards came directly from logistic management office and the Energy Saving Office of XAUAT.
The data of transportation was obtained indirectly from the questionnaires while the components of waste were from sampling and analysis in garbage station.
The data of consumption are following in Table 1.
The world average productivity of all types of land adopts the statistical data from the United Nations food and agricultural organization [11].
The data of the electricity consumption, natural gas consumption, water consumption, food consumption and waste discards came directly from logistic management office and the Energy Saving Office of XAUAT.
The data of transportation was obtained indirectly from the questionnaires while the components of waste were from sampling and analysis in garbage station.
The data of consumption are following in Table 1.