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Online since: January 2012
Authors: Subrata Mallik, Biswasi Sunita Minz, Basudev Mishra
Computer display showing Spray Cooling Data in Caster 1
Casting.
The slab was reduced in thickness from about 200mm to 35mm in several reductions of typically 20% or more.
The parameters such as strain, inter pass time and strain rate varied in the range of 0.3-0.4, 1.5-2.5 sec and 30-55/sec respectively (the level –III automation in Hot Strip Mill calculates and saves the data online during rolling in the data server).
Using process parameters such as temperature, reduction ratio, strip speed, strain, inter pass time and strain rate and chemical analyses, the main characteristics in a steel grade, the yield strength, the tensile strength, (uniform) elongation and low temperature impact-toughness were ascertained.
Using process parameters such as temperature, reduction ratio, strip speed, strain, inter pass time and strain rate and chemical analyses, the main characteristics in a steel grade, the yield strength, the tensile strength, (uniform) elongation and low temperature impact-toughness were ascertained.
The slab was reduced in thickness from about 200mm to 35mm in several reductions of typically 20% or more.
The parameters such as strain, inter pass time and strain rate varied in the range of 0.3-0.4, 1.5-2.5 sec and 30-55/sec respectively (the level –III automation in Hot Strip Mill calculates and saves the data online during rolling in the data server).
Using process parameters such as temperature, reduction ratio, strip speed, strain, inter pass time and strain rate and chemical analyses, the main characteristics in a steel grade, the yield strength, the tensile strength, (uniform) elongation and low temperature impact-toughness were ascertained.
Using process parameters such as temperature, reduction ratio, strip speed, strain, inter pass time and strain rate and chemical analyses, the main characteristics in a steel grade, the yield strength, the tensile strength, (uniform) elongation and low temperature impact-toughness were ascertained.
Online since: March 2013
Authors: Xin Wang Xu, Xiao Qin He, Ju Feng Zhen
Soil microbial biomass carbon and dissolved organic carbon has a significantly reduction after natural marsh wetland reclamation for farmland, and a significantly increased trend after reforestation and conversion from cropland to wetland [6].
The choice of the wetland use patterns to make soil carbon fixation and CO2 gas emissions by a minimum is the key for reasonable protection wetlands and reduction greenhouse gas emissions.
Because of the region as an important agricultural product base, with the development of economy, the local wetland is facing the huge pressure and area continuously reduction [15].
In order to ensure comparability of data, the location of the observation points are as close as possible, wetland test point (N30 ° 38.323 '; E117 ° 33.328'; H16m; estimation error 11m), dry land test point (N30 ° 38.334 '; E117 ° 33.338'; H20m; estimation error 6m), paddy field test point (N30 ° 38.325 '; E117 ° 33.333'; H17m; estimated errors 8m) and horizontal distance of less than 20m.
In the monitoring process, first, remove the growth plants of measurement point surface, open the fan in the sealed box, then take the open end of the sealed box to bury in soil 5cm depth, quickly open the instrument to read the CO2 concentration data (X0, unit: ppm) as an initial value and 5min after the reading data (Xt, unit: ppm) as immediate values.
The choice of the wetland use patterns to make soil carbon fixation and CO2 gas emissions by a minimum is the key for reasonable protection wetlands and reduction greenhouse gas emissions.
Because of the region as an important agricultural product base, with the development of economy, the local wetland is facing the huge pressure and area continuously reduction [15].
In order to ensure comparability of data, the location of the observation points are as close as possible, wetland test point (N30 ° 38.323 '; E117 ° 33.328'; H16m; estimation error 11m), dry land test point (N30 ° 38.334 '; E117 ° 33.338'; H20m; estimation error 6m), paddy field test point (N30 ° 38.325 '; E117 ° 33.333'; H17m; estimated errors 8m) and horizontal distance of less than 20m.
In the monitoring process, first, remove the growth plants of measurement point surface, open the fan in the sealed box, then take the open end of the sealed box to bury in soil 5cm depth, quickly open the instrument to read the CO2 concentration data (X0, unit: ppm) as an initial value and 5min after the reading data (Xt, unit: ppm) as immediate values.
Online since: September 2016
Authors: Ana Isabel Fernández-Calvo, Andrea Niklas, Asier Baquedano, Sergio Orden, Eulalia Noguès, Manel Da Silva
First of all, a small decrease of area fraction of intermetallic iron compounds with reduction of wall thickness is observed.
The formation of β- iron compounds is more affected by the reduction in wall thickness than the a-iron compounds; in the step with the lowest wall thickness of 1 mm the nucleation is almost completely suppressed.
The data of specimens which exhibited casting defects on the fracture surface, such as cold flakes and cold shuts, were not included in the graph.
However, the primary alloy presents in the F and T6 temper a slightly higher yield strength than specified in the primary alloy data sheet and much higher than the secondary alloy, while elongation is lower.
[11] Trimal®-05 data sheet, TRIMET Aluminium AG, Germany, www.trimet.de, 2008.
The formation of β- iron compounds is more affected by the reduction in wall thickness than the a-iron compounds; in the step with the lowest wall thickness of 1 mm the nucleation is almost completely suppressed.
The data of specimens which exhibited casting defects on the fracture surface, such as cold flakes and cold shuts, were not included in the graph.
However, the primary alloy presents in the F and T6 temper a slightly higher yield strength than specified in the primary alloy data sheet and much higher than the secondary alloy, while elongation is lower.
[11] Trimal®-05 data sheet, TRIMET Aluminium AG, Germany, www.trimet.de, 2008.
Online since: May 2011
Authors: Yong Yao, Hua Wen, Yue Ming Wang, Ru Heng Wang
Fig. 3 Layout of drainage sand well Fig. 4 Vacuum degree of vacuum drainage
Experimental phenomena and data analysis
Settlement analysis
Both tests used electro-osmotic method and vacuum preloading method respectively, settlement of soil material is observed by measuring tape attach to external wall.
According to field test and settlement data, here lists the settlement characteristic: surface settlement in the two tests is uneven.
According to the data, the spatial distribution of inner soil material is uneven by different drainage methods.
From table 5, we can see that the average water content of upper anode is the smallest and the same goes to amplitude reduction of water content in electro-osmotic test.
Its concrete manifestation is decline of water content, reduction of void ratio and enlargement of density.
According to field test and settlement data, here lists the settlement characteristic: surface settlement in the two tests is uneven.
According to the data, the spatial distribution of inner soil material is uneven by different drainage methods.
From table 5, we can see that the average water content of upper anode is the smallest and the same goes to amplitude reduction of water content in electro-osmotic test.
Its concrete manifestation is decline of water content, reduction of void ratio and enlargement of density.
Online since: December 2012
Authors: Paweł Martynowicz, Sławomir Kciuk, Arkadiusz Mężyk
Introduction
The demands addressed to the modern vehicle suspension systems include resonance vibrations reduction and ensuring drive stability during extreme manoeuvres, while maintaining good high-frequency isolation properties, under various road conditions and limited suspension clearance.
The significant reduction in the yield stress (thus controlled pressure drop) may be observed for the values of dwell time below 1 ms.
The analysis of MR fluid flow regime in the valve has to be verified experimentally owing to approximations in models of MR fluids dynamics as well as scatter of fluid data given by the manufacturer.
Despite the fact that critical Reynolds number of suspensions is usually lower than that of homogenous mixtures, the small solid particles covered with surfactants and substances improving lubricity (reduction of friction and the flow vorticity) may result in pressure drop reduction and increase of the critical Reynolds number.
Martynowicz: Special application magnetorheological valve numerical and experimental analysis, Diffusion and Defect Data – Solid State Data.
The significant reduction in the yield stress (thus controlled pressure drop) may be observed for the values of dwell time below 1 ms.
The analysis of MR fluid flow regime in the valve has to be verified experimentally owing to approximations in models of MR fluids dynamics as well as scatter of fluid data given by the manufacturer.
Despite the fact that critical Reynolds number of suspensions is usually lower than that of homogenous mixtures, the small solid particles covered with surfactants and substances improving lubricity (reduction of friction and the flow vorticity) may result in pressure drop reduction and increase of the critical Reynolds number.
Martynowicz: Special application magnetorheological valve numerical and experimental analysis, Diffusion and Defect Data – Solid State Data.
Online since: November 2015
Authors: Nicklas Norrick
This paper outlines a design process for the bolted joints of the drive train of sheet-fed offset
printing presses incorporating statistical data and methods.
Statistical information based on experimental data is considered during the application of the standardized method.
The fitting is done so that the experimental data fit the analytical probability distribution optimally in a least-squares sense.
The value of χ2 can be calculated from the simulated data by sorting the observed values of Fn into K bins.
The simulated data yields a value of χ2 > χ2α, revealing that the resulting distribution is warped and not an ideal normal distribution.
Statistical information based on experimental data is considered during the application of the standardized method.
The fitting is done so that the experimental data fit the analytical probability distribution optimally in a least-squares sense.
The value of χ2 can be calculated from the simulated data by sorting the observed values of Fn into K bins.
The simulated data yields a value of χ2 > χ2α, revealing that the resulting distribution is warped and not an ideal normal distribution.
Online since: May 2010
Authors: Xue Mei Li, Li Xing Ding, Jin Hu Lǔ, lan Lan Li
Step 5 (Temperature reduction).
Fig.1 Architecture of SVM-SA forecasting model Simulation experiment and results The hourly climate data and building cooling load from May to September is considered as experimental data in this paper.
The data are divided into three data sets: the training data set, the validation data set and the testing data set.
The cooling load data were sampled per hour in every day.
The SVM-SA model performs best when using 30 input data.
Fig.1 Architecture of SVM-SA forecasting model Simulation experiment and results The hourly climate data and building cooling load from May to September is considered as experimental data in this paper.
The data are divided into three data sets: the training data set, the validation data set and the testing data set.
The cooling load data were sampled per hour in every day.
The SVM-SA model performs best when using 30 input data.
Online since: January 2013
Authors: Hong Chun Sun, Yuan Cheng You, Mei Ling Zhang
In fact, the theoretical basis of the defect detection methods discussed in this article is that bars local stiffness reduction appears because of the crack and thereby causes curvature mode shapes mutation.
Table1 Local equivalent elastic modulus of cracks with different depths Crack depth/mm 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 E/MPa 2.1e5 2.0e5 1.7e5 1.4e5 1.1e5 7.8e4 5.5e4 3.6e4 2.2e4 7.8e3 3.1e2 In order to achieve the quantitative relationship between different cracks depths and stiffness (elastic modulus), we need to carry on the data fitting to obtain their mathematical expressions.
The computational formula of is as following: (1) Where, , is respectively test or calculated data and fitted data of the ith node; is arithmetic average ofor.
Fig.5 Relationship between the crack with different depths and elastic modulus Carry on the linear, quadratic and biquadrate fitting to the data of table 1, we can obtain the relationship between the cracks with different depths and local elastic modulus on the premise that the crack width is 1 mm as shown in figure 5.
New techniques for order reduction and damage detection in structural and rotor dynamic systems [D].2010
Table1 Local equivalent elastic modulus of cracks with different depths Crack depth/mm 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 E/MPa 2.1e5 2.0e5 1.7e5 1.4e5 1.1e5 7.8e4 5.5e4 3.6e4 2.2e4 7.8e3 3.1e2 In order to achieve the quantitative relationship between different cracks depths and stiffness (elastic modulus), we need to carry on the data fitting to obtain their mathematical expressions.
The computational formula of is as following: (1) Where, , is respectively test or calculated data and fitted data of the ith node; is arithmetic average ofor.
Fig.5 Relationship between the crack with different depths and elastic modulus Carry on the linear, quadratic and biquadrate fitting to the data of table 1, we can obtain the relationship between the cracks with different depths and local elastic modulus on the premise that the crack width is 1 mm as shown in figure 5.
New techniques for order reduction and damage detection in structural and rotor dynamic systems [D].2010
Online since: November 2007
Authors: Ioana Demetrescu, V. Mitran, Florin Miculescu, E. Aldea, M.M. Sovar
Cell morphology was assessed by fluorescent staining with hypericin and
viability test was performed by the MTT dye reduction assay.
Such data support infrared data and are arguments in the explanation of induction of bioactivity.
According to data of table 2 the following scale for corrosion rates was supposed: natural passive TiAlNb < chemical bioactive TiAlNb < electrochemical bioactive TiAlNb.
From the open circuit potential in time data (fig. 5) at very short time of immersion of electrode in artificial saliva (5000 min), the results present a better stability of electrochemical deposition samples in comparison with the untreated and chemical deposition samples.
The viability test performed by the MTT dye reduction assay Conclusion Bioactivation method is directly related to surface stability and to in vitro compatibility. 1.
Such data support infrared data and are arguments in the explanation of induction of bioactivity.
According to data of table 2 the following scale for corrosion rates was supposed: natural passive TiAlNb < chemical bioactive TiAlNb < electrochemical bioactive TiAlNb.
From the open circuit potential in time data (fig. 5) at very short time of immersion of electrode in artificial saliva (5000 min), the results present a better stability of electrochemical deposition samples in comparison with the untreated and chemical deposition samples.
The viability test performed by the MTT dye reduction assay Conclusion Bioactivation method is directly related to surface stability and to in vitro compatibility. 1.
Online since: January 2015
Authors: Konstantin V. Zavadovsky, Marina O. Gulya, Stanislav M. Minin, Denis I. Lebedev, Yuri B. Lishmanov
Data were shown as arithmetic mean ± standard deviation (M ± SD).
These data did not obey a normal distribution law (by the Kolmogorov-Smirnov criterion).
Results and Discussion According to data of myocardial perfusion scintigraphy with 99mTs-MIBI and metabolic scintigraphy with 123I- BMIPP, the average size of perfusion and metabolic defects in patients with DCM did not exceed 10%.
In the delayed scan, there was a significant reduction in the size of the metabolic defect and an increase in perfusion-metabolic mismatch.
Our data are consistent with the studies of the Japanese authors [12] who showed that the presence of negative perfusion-metabolic mismatch detected using positron emission tomography with fluorodeoxyglucose and SPECT with 201Tl, defines a positive response to CRT.
These data did not obey a normal distribution law (by the Kolmogorov-Smirnov criterion).
Results and Discussion According to data of myocardial perfusion scintigraphy with 99mTs-MIBI and metabolic scintigraphy with 123I- BMIPP, the average size of perfusion and metabolic defects in patients with DCM did not exceed 10%.
In the delayed scan, there was a significant reduction in the size of the metabolic defect and an increase in perfusion-metabolic mismatch.
Our data are consistent with the studies of the Japanese authors [12] who showed that the presence of negative perfusion-metabolic mismatch detected using positron emission tomography with fluorodeoxyglucose and SPECT with 201Tl, defines a positive response to CRT.