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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: 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: 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: 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: October 2011
Authors: E. Al-Khawaldeh, M. O. Abdalla
Moreover, real structure dynamic behavior is only available if minimum amount of data is available.
Heo et al. derived a kinetic energy based technique and applied it to real experimental data obtained from a model of an asymmetric long span bridge [5].
Expand the corresponding measured data using System Equivalent Reduction Expansion Process (SEREP) v.
Modal Expansion.Unfortunately, it is not possible to have data measurements in all DOFs.
Modal expansion solves the mismatch between the analytical model and the experimental data.
Heo et al. derived a kinetic energy based technique and applied it to real experimental data obtained from a model of an asymmetric long span bridge [5].
Expand the corresponding measured data using System Equivalent Reduction Expansion Process (SEREP) v.
Modal Expansion.Unfortunately, it is not possible to have data measurements in all DOFs.
Modal expansion solves the mismatch between the analytical model and the experimental data.
Online since: July 2020
Authors: Antonella Parisini, Salvatore Vantaggio, Roberta Nipoti, Ulrike Grossner, Marco Gorni, Judith Woerle, Massimo Camarda, Giulio Pizzochero, Virginia Boldrini, Maria Canino
No difference between the 300 K data at different magnetic field was detected.
In Fig. 2(b), the carrier density data increase progressively going from sample A, to B, and to C, at any temperature, with a common feature trend.
In the lower temperature region, the mobility data increase going from sample A to B to C, while in the higher temperature region the mobility data are higher going from sample C to A to B, the two latter also showing the maximum at about the same T.
The electron density, mobility and resistivity data at room temperature obtained by the P and Al co-implanted vdP are in agreement with the literature data for equally implanted P concentration and equal post implantation annealing temperature.
Comparing the observed effect of the annealing time with literature data has not been possible because the processing condition of the samples varied significantly.
In Fig. 2(b), the carrier density data increase progressively going from sample A, to B, and to C, at any temperature, with a common feature trend.
In the lower temperature region, the mobility data increase going from sample A to B to C, while in the higher temperature region the mobility data are higher going from sample C to A to B, the two latter also showing the maximum at about the same T.
The electron density, mobility and resistivity data at room temperature obtained by the P and Al co-implanted vdP are in agreement with the literature data for equally implanted P concentration and equal post implantation annealing temperature.
Comparing the observed effect of the annealing time with literature data has not been possible because the processing condition of the samples varied significantly.
Online since: July 2013
Authors: Milan Růžička, Viktor Kulíšek, Vít Sháněl
Drop energy for each dynamic test was determined with respect to approximately the same deformation of all samples from extrapolation of data from quasi-static tests.
The measured experimental data of bonded samples during quasi-static test (Figure 3) and impact tests (Figure 4) are plotted in the graph-dependency of reaction force F on displacement u.
This violation mechanism leads to a reduction of the reaction force and the elongation of deformation compared to the bonded deformation element — Figure 5.
From the measured experimental data, it is evident that quasi-static tests do not suffice for determining the ability of the material energy absorption.
Experimental data obtained from the tests were evaluated and compared with test video recordings to identify the failure mechanisms and to determine their influence on the function of the deformation element as an energy absorber.
The measured experimental data of bonded samples during quasi-static test (Figure 3) and impact tests (Figure 4) are plotted in the graph-dependency of reaction force F on displacement u.
This violation mechanism leads to a reduction of the reaction force and the elongation of deformation compared to the bonded deformation element — Figure 5.
From the measured experimental data, it is evident that quasi-static tests do not suffice for determining the ability of the material energy absorption.
Experimental data obtained from the tests were evaluated and compared with test video recordings to identify the failure mechanisms and to determine their influence on the function of the deformation element as an energy absorber.
Online since: September 2013
Authors: Jian Zhang, Nan Wang, Jie Hong
Table 1: The evaluation index system on the development level of industry cluster circular economy
Target layer
Criteria layer
Index layer
The development level
of circular economy
Economic development
Per capita GDP
Investment in fixed assets
Rate of output per unit of land area
Resources exploiting
Energy consumption per unit of industrial output
Energy consumption per unit of industrial output
Environmental impact
Wastewater emissions per unit industrial output
Solid waste emissions per unit of industrial output
COD emissions per unit of industrial output
SO2 emissions per unit of industrial output
Material recycling
Comprehensive utilization of industrial solid waste
Recycling rate of industrial water
Emission reduction rate of industrial wastewater COD
Emission reduction rate of SO2
Comprehensive evaluation model of the development of circular economy industrial clusters
Construction of the evaluation matrix.
Set as the raw data of the index uij corresponding to the criteria layer U(i) of the industrial cluster which is numbered S.
The raw data is expressed in the form of matrix.
In order to be able to fully reflect the importance of the evaluation index, not only the experts’ experience and ability should be considered, but also the objective information data should be taken into account.
(1) In this equation, (2) The degree of dispersion of the j-th indicator’s evaluation data can be expressed as (3) represents Deviation degree; the bigger is , the more important is the index.
Set as the raw data of the index uij corresponding to the criteria layer U(i) of the industrial cluster which is numbered S.
The raw data is expressed in the form of matrix.
In order to be able to fully reflect the importance of the evaluation index, not only the experts’ experience and ability should be considered, but also the objective information data should be taken into account.
(1) In this equation, (2) The degree of dispersion of the j-th indicator’s evaluation data can be expressed as (3) represents Deviation degree; the bigger is , the more important is the index.
Online since: August 2006
Authors: I.C. Howard, C. Boldetti, C. Pinna, G. Gutierrez
The commercial finite-element code ABAQUS/Standard ver. 6.4 was used to
model the rolling process and the numerical data was compared to the experimental measurements
in order to validate the code.
The sample was rolled in a single pass with 50% reduction at 11 revolutions per minute, and then quenched in water.
The comparison between numerical and experimental data shown in figure 8 is good, particularly considering the potential errors associated with the engraving method.
The numerical model has been validated using this experimental data.
Tuning the friction coefficient and the heat transfer coefficient was necessary to match experimental and numerical temperature profiles and the final results showed a very good match between predicted and measured data.
The sample was rolled in a single pass with 50% reduction at 11 revolutions per minute, and then quenched in water.
The comparison between numerical and experimental data shown in figure 8 is good, particularly considering the potential errors associated with the engraving method.
The numerical model has been validated using this experimental data.
Tuning the friction coefficient and the heat transfer coefficient was necessary to match experimental and numerical temperature profiles and the final results showed a very good match between predicted and measured data.