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Online since: November 2012
Authors: S. Paschen, A. Prokofiev, K.A. Lorenzer, P. Dalladay Simpson, F. Kubel, A. Sidorenko
Data reduction, background description and the final
structural refinement were carried out with TOPAS 4.2 and its program package.
The refinement was performed within the space group Im3 (R-Bragg 4.182) yielding the crystal structure data collected in Table 1.
The dashed and dotted line is a CW fit to the data in the temperature range 200-300 K and 2.5-6 K, respectively.
The lower insert displays a close-up of the lowtemperature data with the magnetic transition temperature Tmag and the temperature T0 at which correlations between the 4f moments set in.
The solid line is a linear fit to the data below 0.1 K emphasizing the non-Fermi liquid behaviour ∆ρ = AT with A = 2.77 µΩcmK−1.approximately 5% with respect to the value −2.05 obtained for Ce4Pt12Sn25.
The refinement was performed within the space group Im3 (R-Bragg 4.182) yielding the crystal structure data collected in Table 1.
The dashed and dotted line is a CW fit to the data in the temperature range 200-300 K and 2.5-6 K, respectively.
The lower insert displays a close-up of the lowtemperature data with the magnetic transition temperature Tmag and the temperature T0 at which correlations between the 4f moments set in.
The solid line is a linear fit to the data below 0.1 K emphasizing the non-Fermi liquid behaviour ∆ρ = AT with A = 2.77 µΩcmK−1.approximately 5% with respect to the value −2.05 obtained for Ce4Pt12Sn25.
Online since: September 2003
Authors: Alla A. Sitnikova, Gerhard Pensl, Andrey O. Konstantinov, Anders Hallén, R. Yafaev, V. Kossov, Sergey A. Reshanov, G. Kholuyanov, Evgenia V. Kalinina
We
suggest that a similar gettering effect of implanted ions into 4H-SiC could explain the data obtained.
These data confirmed the improvement of the structural perfection of the 4H-SiC CVD epitaxial layers near the Al ID p +n junction position after its formation indicated above.
Also TEM data showed the absence of amorphous layers usually created by high dose Al ion implantation [7].
SIMS data shows that an Al box-profile was formed with Al atom concentration of about 5×1020 cm-3 after Al ion implantation and annealing (Fig. 2).
Hall data for Al ion implanted p +-layer after a short high temperature annealing: (a) free hole concentration and (b) its mobility, (c) resistivity of the p+-layer.
These data confirmed the improvement of the structural perfection of the 4H-SiC CVD epitaxial layers near the Al ID p +n junction position after its formation indicated above.
Also TEM data showed the absence of amorphous layers usually created by high dose Al ion implantation [7].
SIMS data shows that an Al box-profile was formed with Al atom concentration of about 5×1020 cm-3 after Al ion implantation and annealing (Fig. 2).
Hall data for Al ion implanted p +-layer after a short high temperature annealing: (a) free hole concentration and (b) its mobility, (c) resistivity of the p+-layer.
Online since: April 2011
Authors: Ying Jiang, Qiu Wen Zhang
Fields covered by Grey theory include systems analysis, data processing, modeling, prediction, as well as decision making and control.
The Grey-forecasting Model (GM) is the core of Grey Theory, the grey model represented by GM (n, h) predicts its own trend by a dynamic different equation established on the history data.
Supposing the history data series is represented by, and the model GM (1, 1) is as follow:
So the accumulated generating operation (AGO) result of the history data series is as follow:
Therefore, the grey assessment method can provide an initial prioritization of future dam safety investigations, potential structural and non-structural risk reduction measures.
The Grey-forecasting Model (GM) is the core of Grey Theory, the grey model represented by GM (n, h) predicts its own trend by a dynamic different equation established on the history data.
Supposing the history data series is represented by, and the model GM (1, 1) is as follow:
So the accumulated generating operation (AGO) result of the history data series is as follow:
Therefore, the grey assessment method can provide an initial prioritization of future dam safety investigations, potential structural and non-structural risk reduction measures.
Online since: December 2011
Authors: S.A. Teryusheva, G.S. Beloglazov, S.M. Beloglazov
Such corrosive media appear as a result of active sulfate reduction [1].
In sea water, pitting corrosion would develop under the influence of SRB; active sulfate reduction leads to significant hydrogen absorption by steel.
Eh defines sulfate reduction rate.
Data obtained for steel St3 corroded at OC concentration of 5 mMol×dm–3, are presented on Fig. 3.
Table 1 contains experimentally measured efficiencies of OС action inhibiting corrosion of steel St3 that have been determined gravimetrically on the basis of measurements performed at corrosion media with SRB, as well as the data on OC efficiencies of inhibiting hydrogen absorption by steel.
In sea water, pitting corrosion would develop under the influence of SRB; active sulfate reduction leads to significant hydrogen absorption by steel.
Eh defines sulfate reduction rate.
Data obtained for steel St3 corroded at OC concentration of 5 mMol×dm–3, are presented on Fig. 3.
Table 1 contains experimentally measured efficiencies of OС action inhibiting corrosion of steel St3 that have been determined gravimetrically on the basis of measurements performed at corrosion media with SRB, as well as the data on OC efficiencies of inhibiting hydrogen absorption by steel.
Online since: May 2015
Authors: Tawatchai Charinpanitkul, Sira Srinives, Kanin Selamassakul, Navapass Peaunbida, Suchaporn Jiamjitton, Chinnawich Phamornnak, Chotiros Plabplueng, Bovornlak Oonkhanond, Worasak Klongthong
The IR transmittance of rGO appeared to be relatively flat, indicating disappearance of functional groups after the chemical reduction with L-AA.
However, it was observed that the error bar of the sensing response at pH 3 was exceptionally high, which requires further investigation with more sensors and sensing data.
The data were interpreted from two identical sensors.
Conclusion The rGO was successfully synthesized by a modified Hummers method, followed by chemical reduction with L-AA.
Guo, Reduction of graphene oxide via L-ascorbic acid, Chemical Communications, 46(2010) 1112-4
However, it was observed that the error bar of the sensing response at pH 3 was exceptionally high, which requires further investigation with more sensors and sensing data.
The data were interpreted from two identical sensors.
Conclusion The rGO was successfully synthesized by a modified Hummers method, followed by chemical reduction with L-AA.
Guo, Reduction of graphene oxide via L-ascorbic acid, Chemical Communications, 46(2010) 1112-4
Online since: May 2022
Authors: Wan Ryan Asri, Afrianti Meilani, Nova Yuliasari, Hasanudin Hasanudin
FFA reduction (X) was calculated according to the initial and remaining free fatty acid concentration difference.
The data can be considered valid if the determination coefficient value is close to 1.0 [8].
Fig. 2 Shows the correlation between the experimental and predicted value from the mathematical model of FFA reduction.
Thus, the kinetic model can well predict the reduction of free fatty acids.
Validation data shows that the kinetic equation model can be accepted for calculating free fatty acid esterification of SPO kinetic with a determination coefficient of 0.9612.
The data can be considered valid if the determination coefficient value is close to 1.0 [8].
Fig. 2 Shows the correlation between the experimental and predicted value from the mathematical model of FFA reduction.
Thus, the kinetic model can well predict the reduction of free fatty acids.
Validation data shows that the kinetic equation model can be accepted for calculating free fatty acid esterification of SPO kinetic with a determination coefficient of 0.9612.
Online since: April 2013
Authors: Livan Fratini, Marion Merklein, Wolfgang Böhm, Davide Campanella
For instance, chassis exclusively made of aluminum sheet metals provide weight reductions for a mid-class car body of 200 to 300 kg [1].
The experimental analysis was carried out to obtain the material behavior using different numbers of cycles, and to validate the numerical results in comparison with the data measured during the experimental tests (such as the pressure on the lateral arms of the roll and velocity of the roll themselves).
The entry thickness (hin) and the width (win), the exit thickness (hout) and the width (wout), the reduction per cycle and the measured separating forces, on the two sides of the roll, are given in this table.
Once the material behavior was inserted into the code, in order to compare the numerical model with the real case, the machine output data and the results of the numerical model were compared.
Furthermore, the 2D model can be used also to predict other tool parameters, such as the maximum reduction to be applied or the maximum pressure on the roll or even the rolling velocity.
The experimental analysis was carried out to obtain the material behavior using different numbers of cycles, and to validate the numerical results in comparison with the data measured during the experimental tests (such as the pressure on the lateral arms of the roll and velocity of the roll themselves).
The entry thickness (hin) and the width (win), the exit thickness (hout) and the width (wout), the reduction per cycle and the measured separating forces, on the two sides of the roll, are given in this table.
Once the material behavior was inserted into the code, in order to compare the numerical model with the real case, the machine output data and the results of the numerical model were compared.
Furthermore, the 2D model can be used also to predict other tool parameters, such as the maximum reduction to be applied or the maximum pressure on the roll or even the rolling velocity.
Online since: August 2019
Authors: Olexandr Palyvoda, Olexandr Lapenko
These tasks can be solved, including at the expense of reduction of material content and reduction of the cross-section of structures, due to the rational combination of concrete and steel in their joint work and through the use of high-strength materials.
Therefore, the use of a strengthened core will lead to a significant reduction in steel costs and cost savings during the construction of the structure.
Summary According to the carried out experimental study of the mechanism of development of the stress-strain state of the tube confined concrete elements, reliable and more accurate data on their properties was obtained.
These data make it clear that the application of these methods can contribute to the improvement of the construction of various structures due to better conservation of resources and increase the reliability of the structures themselves.
Therefore, the use of a strengthened core will lead to a significant reduction in steel costs and cost savings during the construction of the structure.
Summary According to the carried out experimental study of the mechanism of development of the stress-strain state of the tube confined concrete elements, reliable and more accurate data on their properties was obtained.
These data make it clear that the application of these methods can contribute to the improvement of the construction of various structures due to better conservation of resources and increase the reliability of the structures themselves.
Online since: February 2014
Authors: Shou Ming Zhou, Qing Jie Sun, Ji Gui Zheng, Hong Xing Wu
Torque Ripple Reduction of Switched Reluctance Motor by Optimizing Stator Pole Type
Hongxing Wu, Qingjie Sun , Jigui Zheng, Shouming Zhou
School of Electrical Engineering and Automation, Harbin Institute of Technology, Harbin, China
awhx0422@sina.com, bsqj0602@126.com , c zhengjigui@163.com, d zhoush.m@163.com
Keywords: Switched Reluctance Motor; Torque Ripple; Structural Optimization
Abstract.
Therefore, the improvement of motor design improvements can realize the reduction of torque ripple to some extent.
Torque waveform of 60° wedge angle Different wedge angles have some influence on the torque ripple at the cost of average torque, specific data as follows: Table 1 The torque ripple coefficient of different wedge angles Original scheme Improved 90° wedge angle 60° wedge angle KT 1.22 0.71 0.81 1 After comparison, it’s clear that the measure to improve stator poles slows the abrupt change of torque effectively when stator poles coincide with rotor poles.
Learning Rate Functions in CMAC Neural Network Control for Torque Ripple Reduction of Switched Reluctance Motors[J].
Therefore, the improvement of motor design improvements can realize the reduction of torque ripple to some extent.
Torque waveform of 60° wedge angle Different wedge angles have some influence on the torque ripple at the cost of average torque, specific data as follows: Table 1 The torque ripple coefficient of different wedge angles Original scheme Improved 90° wedge angle 60° wedge angle KT 1.22 0.71 0.81 1 After comparison, it’s clear that the measure to improve stator poles slows the abrupt change of torque effectively when stator poles coincide with rotor poles.
Learning Rate Functions in CMAC Neural Network Control for Torque Ripple Reduction of Switched Reluctance Motors[J].
Online since: May 2014
Authors: Abdolreza Ataei, Mark A. Bradford
All connection components were taken as being the same size as used in the experiments against which the method is calibrated, and furthermore the model does not need recourse to empirical push-out test data.
The increment in the load capacity is only 1% for 150% of minimum pretension and the reduction in the load capacities are 2%, 4% and 8% for 75%, 50% and 25% pretension, respectively.
The modelling is simplified in its treatment of concrete in tension as being quasi elastic-plastic, and it has the facility to handle the stud shear connectors in a discrete fashion rather than by the use of springs and empirical push test data.
The technique was shown to be accurate when compared with comprehensive test data reported elsewhere, and it provides an efficacious means for structural modelling in order to develop much-needed design guidance for this application of composite structures technology.
(v) Reductions in the degree of shear connection cause decreases the load capacity of the composite joints and increases in deflection.
The increment in the load capacity is only 1% for 150% of minimum pretension and the reduction in the load capacities are 2%, 4% and 8% for 75%, 50% and 25% pretension, respectively.
The modelling is simplified in its treatment of concrete in tension as being quasi elastic-plastic, and it has the facility to handle the stud shear connectors in a discrete fashion rather than by the use of springs and empirical push test data.
The technique was shown to be accurate when compared with comprehensive test data reported elsewhere, and it provides an efficacious means for structural modelling in order to develop much-needed design guidance for this application of composite structures technology.
(v) Reductions in the degree of shear connection cause decreases the load capacity of the composite joints and increases in deflection.