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Online since: July 2014
Authors: Feng Qin Wang, Shu Zhi Wang, Xiao Jiang, Fei Li, Zhi Min Zhang
From Fig.3 and Fig.2, we knew variation of running speed caused reduction of coiling temperature.
But excessive reduction of coiling temperature was not caused by variation of running speed as adjustment of valves.
As the location was quite close to tail part, reduction of running speed of strip was one of the reasons of low coiling temperature at tail of ZSAC1 strip
Finish rolling temperature, the initial data for coiling temperature calculation, has a direct effect on pre-calculation and ultimate control of coiling temperature.
(2) Finish rolling temperature, the initial data for coiling temperature calculation, has a direct effect on pre-calculation and ultimate control of coiling temperature.
But excessive reduction of coiling temperature was not caused by variation of running speed as adjustment of valves.
As the location was quite close to tail part, reduction of running speed of strip was one of the reasons of low coiling temperature at tail of ZSAC1 strip
Finish rolling temperature, the initial data for coiling temperature calculation, has a direct effect on pre-calculation and ultimate control of coiling temperature.
(2) Finish rolling temperature, the initial data for coiling temperature calculation, has a direct effect on pre-calculation and ultimate control of coiling temperature.
Online since: March 2014
Authors: Michael Rethmeier
The mechanical data for each zone were obtained from true stress-strain curves determined in conventional tensile tests using heat treated tensile specimens (HAZ, fusion zone) and untreated tensile specimens (base metal).
The reason for this behavior has to be found in: Notch root radius - Reduction in sample stiffness - Lateral oscillation - Changing in local stress.
The calculation of ΔF/ΔL as a measure of the sample stiffness confirms the reduction in rotational stiffness due to the gap.
It can be seen that internal imperfections have no significant influence on the fatigue life, i.e. stiffness reduction of 30 %.
§ The reduction in fatigue strength can be attributed a decreasing sample stiffness, which lead to a higher rotation Ө between the sheets.
The reason for this behavior has to be found in: Notch root radius - Reduction in sample stiffness - Lateral oscillation - Changing in local stress.
The calculation of ΔF/ΔL as a measure of the sample stiffness confirms the reduction in rotational stiffness due to the gap.
It can be seen that internal imperfections have no significant influence on the fatigue life, i.e. stiffness reduction of 30 %.
§ The reduction in fatigue strength can be attributed a decreasing sample stiffness, which lead to a higher rotation Ө between the sheets.
Online since: July 2013
Authors: Arturo González, Biswajit Basu, Daniel Cantero
This investigation considers two locations of damage (¼ and ½ span) and four damage magnitudes (0, 25, 50 and 75 % stiffness reduction).
This correlation parameter between predictions of systems will prove to be a good indicator for detection of local bridge stiffness reduction.
For each damage location a single moving load is modelled traversing a beam with a local stiffness reduction of 50%.
For the damaged scenarios, a severe 90% stiffness reduction was used to clearly visualize the differences between both curves.
[6] International Organization for Standardization ISO, Mechanical vibration – Road surface profiles - Reporting of measure data, ISO8608 (BS7853:1996)
This correlation parameter between predictions of systems will prove to be a good indicator for detection of local bridge stiffness reduction.
For each damage location a single moving load is modelled traversing a beam with a local stiffness reduction of 50%.
For the damaged scenarios, a severe 90% stiffness reduction was used to clearly visualize the differences between both curves.
[6] International Organization for Standardization ISO, Mechanical vibration – Road surface profiles - Reporting of measure data, ISO8608 (BS7853:1996)
Online since: November 2012
Authors: Noorfaizal Yidris, Faizal Mustapha, Dayang Laila Majid, Mohamed Thariq Hameed Sultan, Azmin Shakrine M. Rafie
Fig. 1 Linear transformation of any given data series.
To visualise the feature data, Principal Component Analysis (PCA) was perform for dimensionality reduction.
PCA for Binned Spectrum (Multivariate Data): Separation of Undamaged and Damaged Data Fig. 2 demonstrates the result of projecting the 8-D data onto the first two principal components; this projection allows for a direct visualisation of the binned spectra data.
It can be seen from Fig. 3 that the two failure modes (matrix failure and fibre failure) are obviously separated onto two different data sets with the matrix failure data clustered at right and fibre failure data clustered at left.
Pullin, Visualisation and dimension reduction of acoustic emission data for damage detection, Journal of Intelligent Material Systems and Structures, 2001, 12(8), pp. 529-536
To visualise the feature data, Principal Component Analysis (PCA) was perform for dimensionality reduction.
PCA for Binned Spectrum (Multivariate Data): Separation of Undamaged and Damaged Data Fig. 2 demonstrates the result of projecting the 8-D data onto the first two principal components; this projection allows for a direct visualisation of the binned spectra data.
It can be seen from Fig. 3 that the two failure modes (matrix failure and fibre failure) are obviously separated onto two different data sets with the matrix failure data clustered at right and fibre failure data clustered at left.
Pullin, Visualisation and dimension reduction of acoustic emission data for damage detection, Journal of Intelligent Material Systems and Structures, 2001, 12(8), pp. 529-536
Online since: March 2007
Authors: Rudolf Kawalla, Stan T. Mandziej, J.D. Vosburgh, H.G. Schoss
Some alloying elements, which
tend to segregate, make the as-solidified dendritic microstructure prone to hot cracking and then
require well-controlled cross-reductions during subsequent rolling or thermal-mechanical
treatment to homogenize microstructure and get optimum properties.
The reduction in the grain size with each hot rolling reduction stage also facilitates the distribution of impurities.
This value coincides with the 20mm of thin slab half-thickness according to the data presented in Fig.12.
The reduction in the grain size with each hot rolling reduction stage also facilitates the distribution of impurities.
This value coincides with the 20mm of thin slab half-thickness according to the data presented in Fig.12.
Online since: April 2012
Authors: Norhamidi Muhamad, Ahmad Zakaria, Baba M. Deros, Khairul Za’im Kamarulzaman, Achmed Mobin, Mohd Safuan Mohd Abdul Lazat, Nagur Aziz Kamal Bashah
On the other hand, the numerical simulation method involves commercial FEM software supported by empirical data.
METHODOLOGY Sample data collection.
The data of dependent or criterion variable is examined to determine the relationship to any other independent or predictor variables [8].
While in MR model, the prediction works with identifying the trend of the output data.
As for FE Model, the unreliable springback values predicted could be attributed to the fact that material parameter were obtained from manufacturer data rather than from own tensile test.
METHODOLOGY Sample data collection.
The data of dependent or criterion variable is examined to determine the relationship to any other independent or predictor variables [8].
While in MR model, the prediction works with identifying the trend of the output data.
As for FE Model, the unreliable springback values predicted could be attributed to the fact that material parameter were obtained from manufacturer data rather than from own tensile test.
Online since: January 2016
Authors: Hany Al-Ansary
Because of the current economic disadvantage of CSP, researchers worldwide are engaged in efforts to make significant reductions in the initial cost of CSP systems and to further increase their efficiency by pushing the temperature limit beyond the current molten salt operational limit of about 565°C.
Temperatures as high as 1000°C can be achieved using this concept, thereby increasing conversion efficiency, and significant cost reductions are also expected, especially if natural particles (such as sand) are used.
The simulations provide performance and cost data, including LCOE.
The third scenario is particularly economical due to the significant reduction in cost of storage when silica sand is used as a storage medium, and due to the significant reduction in the receiver cost due to the simplicity of the falling particle receiver.
Temperatures as high as 1000°C can be achieved using this concept, thereby increasing conversion efficiency, and significant cost reductions are also expected, especially if natural particles (such as sand) are used.
The simulations provide performance and cost data, including LCOE.
The third scenario is particularly economical due to the significant reduction in cost of storage when silica sand is used as a storage medium, and due to the significant reduction in the receiver cost due to the simplicity of the falling particle receiver.
Online since: September 2014
Authors: Xiao Bao Yu, Wen Yan Liu, Pu Yu He, Yan Li Huang, Bing Bing Zhou, Zhong Fu Tan
"Kyoto Protocol" was the first legal binding regulatory mechanism that requiring a reduction in greenhouse gas emissions.
There were more and more countries entering the carbon emissions reduction activities.
UN climate summit in Copenhagen did not reach consensus on carbon emissions-related issues by the end of 2009, an important reason was that the companies did not understand the carbon emissions and revenue [1].As the support side of carbon emission reduction policies, China is trying the best to do own obligations.
Due to the lack of data, this article does not make case study, but makes an innovation from the view of analysis, and takes into account all factors that affect the carbon emissions trading cost to improve the accuracy of predictions.
Carbon emission fluctuation in China's economic development and carbon reduction path [d].
There were more and more countries entering the carbon emissions reduction activities.
UN climate summit in Copenhagen did not reach consensus on carbon emissions-related issues by the end of 2009, an important reason was that the companies did not understand the carbon emissions and revenue [1].As the support side of carbon emission reduction policies, China is trying the best to do own obligations.
Due to the lack of data, this article does not make case study, but makes an innovation from the view of analysis, and takes into account all factors that affect the carbon emissions trading cost to improve the accuracy of predictions.
Carbon emission fluctuation in China's economic development and carbon reduction path [d].
Online since: November 2014
Authors: Chang Liu, Qing Shao, Li Juan Geng
The test data showed that the removal rate of chloroform steeply increases could reach 88.60% by using heterogeneous catalytic systems of Fe0/ TiO2-EP/ AC.
Nowadays, treatment of chloroform in water, it already had studied adsorption, ozonation, UV/Fenton reagent method, microwave/Fenton reagent method, oxidation reduction and photocatalytic oxidation[[] Ai Yan, Qiong Bian, Minghua Liu: China Environmental Science, Vol.34 (2014), p105 (In Chinese) ,[] Hara J, Ito H, Suto K, et al: Water Research, Vol,39(2005), p1165 ].
While the combination method of oxidation reduction, photocatalytic oxidation and adsorption are not further study.
In this reaction system, Fe0 is used as reducing agent for providing electrons to reduce chlorinated hydrocarbon through the electrochemical reduction, and chlorine removed in the form of chloride ion.
(2) In the system of Fe0/TiO2-EP/AC: the chloroform in water sample is degraded effectively by oxidation-reduction of Fe0 and photocatalysis of TiO2; The concentration gradient of reactant in solutions is increased by adsorption of AC ; The absorption spectrum of TiO2-EP is made redshift by iron ions, which provide a more conductive atmosphere for photocatalytic reaction.
Nowadays, treatment of chloroform in water, it already had studied adsorption, ozonation, UV/Fenton reagent method, microwave/Fenton reagent method, oxidation reduction and photocatalytic oxidation[[] Ai Yan, Qiong Bian, Minghua Liu: China Environmental Science, Vol.34 (2014), p105 (In Chinese) ,[] Hara J, Ito H, Suto K, et al: Water Research, Vol,39(2005), p1165 ].
While the combination method of oxidation reduction, photocatalytic oxidation and adsorption are not further study.
In this reaction system, Fe0 is used as reducing agent for providing electrons to reduce chlorinated hydrocarbon through the electrochemical reduction, and chlorine removed in the form of chloride ion.
(2) In the system of Fe0/TiO2-EP/AC: the chloroform in water sample is degraded effectively by oxidation-reduction of Fe0 and photocatalysis of TiO2; The concentration gradient of reactant in solutions is increased by adsorption of AC ; The absorption spectrum of TiO2-EP is made redshift by iron ions, which provide a more conductive atmosphere for photocatalytic reaction.
Online since: February 2006
Authors: V. Kostopoulus, Theodoros Loutas
A 16-bit PCI-2 (4 channels) data
acquisition card, 2/4/6-AST pre-amplifiers with pre-amplification of 40 dB and bandbass filtering
of 20-1200 kHz, all by Physical Acoustics Corporation.
In both material systems and both channels a clear monotonic reduction of coherence is observed.
Significant reductions of 20-45% were observed. 0 200 400 600 800 100012001400160018002000 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 coherence test time (sec) coherence1 coherence2 0 200 400 600 800 100012001400160018002000 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 coherence test time (sec) coherence1 coherence2 Fig. 4.
With the exception of one material case in ch2, a severe reduction is observed while damage progresses during the test.
The reduction reaches 95%.
In both material systems and both channels a clear monotonic reduction of coherence is observed.
Significant reductions of 20-45% were observed. 0 200 400 600 800 100012001400160018002000 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 coherence test time (sec) coherence1 coherence2 0 200 400 600 800 100012001400160018002000 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 coherence test time (sec) coherence1 coherence2 Fig. 4.
With the exception of one material case in ch2, a severe reduction is observed while damage progresses during the test.
The reduction reaches 95%.