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Online since: June 2011
Authors: Chih Chung Chang, Jia He Lin, Wei Jie Lin, Siang Jyun Jheng, Ching Sung Wang, Chien Wei Liu, Teng Wei Wang
It not only achieves carbon reduction, but also promotes community well-being.
The carbon reduction is the one of important global issues right now.
The output signals are averaged in terms of 140 data.
This research eliminates the complex action of pulling plug off that results carbon reduction by decreasing standby electric usage, and it is also benefit for handicapped or senior people to control the power supply switches more easily.
[8] Suen Guang Tian, Li Guo Sheng, “A study of using data mining techniques to explore relationship of long-latency auditory evoked potentials P300 and IQ,” .
The carbon reduction is the one of important global issues right now.
The output signals are averaged in terms of 140 data.
This research eliminates the complex action of pulling plug off that results carbon reduction by decreasing standby electric usage, and it is also benefit for handicapped or senior people to control the power supply switches more easily.
[8] Suen Guang Tian, Li Guo Sheng, “A study of using data mining techniques to explore relationship of long-latency auditory evoked potentials P300 and IQ,” .
Online since: May 2005
Authors: M. Bambach, Gerhard Hirt, J. Ames
Now the surface points belonging to the tool tip are chosen and a
sphere is fitted to each data set obtained at the different positions.
Quantitative comparison of FEA results to experimental data.
Quantitative comparison of FEA results to experimental data.
With these prerequisites, data sets obtained from measurements can be mapped onto the FE mesh in order to perform a quantitative comparison.
Also, the method can be used for reverse engineering applications, e.g. for optimizing material and friction input data.
Quantitative comparison of FEA results to experimental data.
Quantitative comparison of FEA results to experimental data.
With these prerequisites, data sets obtained from measurements can be mapped onto the FE mesh in order to perform a quantitative comparison.
Also, the method can be used for reverse engineering applications, e.g. for optimizing material and friction input data.
Online since: January 2019
Authors: Mauricio Pacio, T.G. Díaz-Rodríguez, Héctor Juárez, G. Flores-Carrasco, J.R. Mora
XRD results of the as-grown products from ZnS powder show a significant reduction in the cubic zincblende phase to the hexagonal wurtzite phase with the increase of treatment temperature, as compared to the bulk value.
Additional, the obtained data were refined by the Rietveld method using the FULLPROF suite.The microstructure of the samples was examined using a scanning electron microscope (SEM) equipped with an energy dispersive X-ray detector (EDX) (Hitachi S-5500).
Rietveld refinement of XRD data on the ZnS sample after annealing at 1000 °C.
Lee, Thermal reduction route to the fabrication of coaxial Zn/ZnO nanocables and ZnO nanotubes, Chem.
Ratna, Size-induced transition-temperature reduction in nanoparticles of ZnS, Phys.
Additional, the obtained data were refined by the Rietveld method using the FULLPROF suite.The microstructure of the samples was examined using a scanning electron microscope (SEM) equipped with an energy dispersive X-ray detector (EDX) (Hitachi S-5500).
Rietveld refinement of XRD data on the ZnS sample after annealing at 1000 °C.
Lee, Thermal reduction route to the fabrication of coaxial Zn/ZnO nanocables and ZnO nanotubes, Chem.
Ratna, Size-induced transition-temperature reduction in nanoparticles of ZnS, Phys.
Online since: December 2007
Authors: J. Podwórny, T. Wala, J. Sawków
The obtained results were discussed on the basis of literature data.
Another factor influencing the complexity of phase composition is the slight reduction atmosphere in the clinker production process, which leads to partial reduction of Fe 3+ to Fe 2+ .
The first precise data originate from the works of Majumdar [4], Biggar [5], Midgley [6,7] and Glasser, Marr [8].
In 1980 Hanic, Handlovic and Kapralik [9, 10] published precise crystallographic data on Q phase and verified the chemical formula as Ca20Al32-2xMgxSixO68.
They discovered that the reduction atmosphere in the process of sintering greatly influences the formation of Q phase.
Another factor influencing the complexity of phase composition is the slight reduction atmosphere in the clinker production process, which leads to partial reduction of Fe 3+ to Fe 2+ .
The first precise data originate from the works of Majumdar [4], Biggar [5], Midgley [6,7] and Glasser, Marr [8].
In 1980 Hanic, Handlovic and Kapralik [9, 10] published precise crystallographic data on Q phase and verified the chemical formula as Ca20Al32-2xMgxSixO68.
They discovered that the reduction atmosphere in the process of sintering greatly influences the formation of Q phase.
Online since: September 2007
Authors: John W. Palmour, Jim Richmond, Joseph J. Sumakeris, Brett A. Hull, Mrinal K. Das
Histogram of VF drift for all fabricated die, separated
into KOH Etch, Hex Etch, or no BPD reduction processes.
Regardless, the benefits of either method of BPD density reduction is clear from Fig. 2.
Further reductions in charge storage are required beyond what gains have been made by reducing the injection layer doping.
The diodes with p-injection layer doping of 1 x 1018 and 1 x 1017 cm-3 have also been added to Fig. 6 for reference, along with trend lines based on the data for the diodes with an injection layer doping of 8 x 10 18 cm-3.
Based on these data and trend line assumptions, if an injection layer doping of 1 x 10 17 cm -3 is employed and the n - drift layer thickness is reduced to 90 µm, we may be able to achieve a reverse recovery charge of less than 1 µC.
Regardless, the benefits of either method of BPD density reduction is clear from Fig. 2.
Further reductions in charge storage are required beyond what gains have been made by reducing the injection layer doping.
The diodes with p-injection layer doping of 1 x 1018 and 1 x 1017 cm-3 have also been added to Fig. 6 for reference, along with trend lines based on the data for the diodes with an injection layer doping of 8 x 10 18 cm-3.
Based on these data and trend line assumptions, if an injection layer doping of 1 x 10 17 cm -3 is employed and the n - drift layer thickness is reduced to 90 µm, we may be able to achieve a reverse recovery charge of less than 1 µC.
Online since: March 2013
Authors: Bartosz Koczurkiewicz, Henryk Dyja, Marcin Kwapisz, Anna Kawałek, Marcin Knapiński
The preliminary calculations showed that the use of X100 high pressure pipelines instead of X80 leads to costs reduction by about 7%, however when comparing grades X70 and X100 the cost effectiveness may reach even 30%.
The summary cost reduction of the investment does not follow directly from the use of higher strength steel.
Pipe size Rt0.5 MPa Rm MPa Rt0.5/Rm - A5 % CVN (20oC), J DWTT oC 1 30”x19.1mm 739 792 0.93 18.4 235 -15 2 30”x15.9 755 820 0.92 17.1 240 -25 3 56”x19.1mm 737 800 0.92 18 200 -20 4 36”x16.0mm 752 816 0.92 18 270 -50 It follows from the data presented in Table 3 that for the chemical compositions the use of proper thermo-mechanical treatment and accelerated cooling after rolling enabled to get the right strength parameters.
On the basis of the data presented in technical literature at the beginning of the research three chemical compositions were selected which are currently being tested regarding their suitability for rolling in order to obtain the strength parameters required by grades X80-X100.
Scheme of deformations and temperatures applied in the simulation of rolling Operation Defor- mation Defor-mation rate Time of operation / between operations Temperature variant I p1,p2,p3,p4 Temperature variant II p5,p6,p7,p8 Temperature variant III p9,p10,p11,p12 - 1/s s oC oC oC Reheating - - 118 / - 1180 Heating - - 300 / - 1180 Cooling - - 260 / - 1050 Reduction 1 0.16 1.75 - / 40 1030 Reduction 2 0.16 1.75 - / 60 1000 Cooling - - 180 / - 838 818 798 Reduction 3 0.1 5 - / 5 838 818 798 Reduction 4 0.1 5 - / 7 834 814 794 Reduction 5 0.1 5 - / 9 829 809 789 Reduction 6 0.1 5 - / 11 821 801 781 Reduction 7 0.1 5 - / 14 811 791 771 Reduction 8 0.1 5 - / 17 800 780 760 After the end of a series of deformations the material was cooled according to four different schemes.
The summary cost reduction of the investment does not follow directly from the use of higher strength steel.
Pipe size Rt0.5 MPa Rm MPa Rt0.5/Rm - A5 % CVN (20oC), J DWTT oC 1 30”x19.1mm 739 792 0.93 18.4 235 -15 2 30”x15.9 755 820 0.92 17.1 240 -25 3 56”x19.1mm 737 800 0.92 18 200 -20 4 36”x16.0mm 752 816 0.92 18 270 -50 It follows from the data presented in Table 3 that for the chemical compositions the use of proper thermo-mechanical treatment and accelerated cooling after rolling enabled to get the right strength parameters.
On the basis of the data presented in technical literature at the beginning of the research three chemical compositions were selected which are currently being tested regarding their suitability for rolling in order to obtain the strength parameters required by grades X80-X100.
Scheme of deformations and temperatures applied in the simulation of rolling Operation Defor- mation Defor-mation rate Time of operation / between operations Temperature variant I p1,p2,p3,p4 Temperature variant II p5,p6,p7,p8 Temperature variant III p9,p10,p11,p12 - 1/s s oC oC oC Reheating - - 118 / - 1180 Heating - - 300 / - 1180 Cooling - - 260 / - 1050 Reduction 1 0.16 1.75 - / 40 1030 Reduction 2 0.16 1.75 - / 60 1000 Cooling - - 180 / - 838 818 798 Reduction 3 0.1 5 - / 5 838 818 798 Reduction 4 0.1 5 - / 7 834 814 794 Reduction 5 0.1 5 - / 9 829 809 789 Reduction 6 0.1 5 - / 11 821 801 781 Reduction 7 0.1 5 - / 14 811 791 771 Reduction 8 0.1 5 - / 17 800 780 760 After the end of a series of deformations the material was cooled according to four different schemes.
Online since: June 2014
Authors: Wei Mo, Rui Han, Ri Xue Jin
Share it through Autodesk BIM360 Glue cloud database, real-time data download and update in Ipad mobile terminal.
Through the collation of relevant data, BIM technology can assist the development and construction unit to compared with the main economic indicators project.
The model data will be updated with the progress of the project, to ensure the accuracy of the information.
In a timely manner it helps to update data, locate on the hidden project positioning, do disassembly and maintenance through the BIM360 Field client. 6.
Promoting design and construction efficiency by the data processing and analysis, we could avoid the design defects, pollution and waste of construction.
Through the collation of relevant data, BIM technology can assist the development and construction unit to compared with the main economic indicators project.
The model data will be updated with the progress of the project, to ensure the accuracy of the information.
In a timely manner it helps to update data, locate on the hidden project positioning, do disassembly and maintenance through the BIM360 Field client. 6.
Promoting design and construction efficiency by the data processing and analysis, we could avoid the design defects, pollution and waste of construction.
Online since: September 2005
Authors: José L. Zapico, María P. González
A simplified finite element model is used to obtain the data needed for training
the nets.
Influence of the Modal Data Errors.
This constituted the reference database, which contain 30,000 independent sets of data.
The data used for training the MLPs is obtained from a simplified FE model.
A statistical analysis shows that the method is quite sensitive to the modal data errors.
Influence of the Modal Data Errors.
This constituted the reference database, which contain 30,000 independent sets of data.
The data used for training the MLPs is obtained from a simplified FE model.
A statistical analysis shows that the method is quite sensitive to the modal data errors.
Online since: October 2007
Authors: Jacek Tarasiuk, Krystian Piękoś, Krzysztof Wierzbanowski, Brigitte Bacroix
The behaviour of grains is governed
by strict and unique laws and, consequently, each program execution starting from the same initial
data leads to the same final result.
Study of recrystallization in copper Several simulations were performed using stochastic vertex model in order to explain the recrystallization texture formation in rolled polycrystalline copper after high (90% reduction) and low (70 % reduction and below this value).
In the case of 90% reduction, the deformation texture is very similar in terms of main components but is more intense (Fig. 3a).
On the other hand, in the material previously rolled up to 90% reduction, only the cube component is present after recrystallization (Fig. 3b).
The starting maps for both levels of rolling reduction (70% and 90%) were the same as in the calculations in deterministic vertex model [1].
Study of recrystallization in copper Several simulations were performed using stochastic vertex model in order to explain the recrystallization texture formation in rolled polycrystalline copper after high (90% reduction) and low (70 % reduction and below this value).
In the case of 90% reduction, the deformation texture is very similar in terms of main components but is more intense (Fig. 3a).
On the other hand, in the material previously rolled up to 90% reduction, only the cube component is present after recrystallization (Fig. 3b).
The starting maps for both levels of rolling reduction (70% and 90%) were the same as in the calculations in deterministic vertex model [1].
Online since: March 2016
Authors: Sebastian Kurczyk, Marek Pawelczyk
First method imposes the reduction of the ANN filter structure.
Combining the selection matrix (7) with the adaptation equations of neural weights (3) and (4), the following update equation is obtained: w(k+1) = w(k) – ηIM(k)∆w(k). (10) It is now possible to accumulate the block of data for the adaptation purpose, each Nlayers+1 samples.
Experimental Verification The proposed algorithm has been verified using data from the real plant, in the software in the loop simulation.
The algorithms have been based on real data acquired from the active casing.
Both of them result in the same reduction level.
Combining the selection matrix (7) with the adaptation equations of neural weights (3) and (4), the following update equation is obtained: w(k+1) = w(k) – ηIM(k)∆w(k). (10) It is now possible to accumulate the block of data for the adaptation purpose, each Nlayers+1 samples.
Experimental Verification The proposed algorithm has been verified using data from the real plant, in the software in the loop simulation.
The algorithms have been based on real data acquired from the active casing.
Both of them result in the same reduction level.