Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: July 2022
Authors: Jan Bohlen, Merle Braatz, Noomane Ben Khalifa
Achieved reduction over set reduction for all DD single pass experiments.
Temperature variations of up to 220 °C for the same reduction ratio do not appear to affect a change in the reduction ratio or the magnitude of the deviation.
Achieved reduction over set reduction for all DD and CDD experiments.
Linear regression of all data for the DD and the CCD experiments results in a slope of approx. 1 for the CCD experiments as expected.
Generally, the higher the reduction ratio, the higher the UTS.
Temperature variations of up to 220 °C for the same reduction ratio do not appear to affect a change in the reduction ratio or the magnitude of the deviation.
Achieved reduction over set reduction for all DD and CDD experiments.
Linear regression of all data for the DD and the CCD experiments results in a slope of approx. 1 for the CCD experiments as expected.
Generally, the higher the reduction ratio, the higher the UTS.
Online since: June 2010
Authors: R. Jiang, Guo Feng Zhang
It is an important issue to optimize the maintenance system based on field data.
Section 2 presents the failure data from a bus fleet, and Section 3 discusses the model and parameter estimation method.
In Section 4 we fit the data to the model and analyze the effectiveness of the PM.
Failure data of a bus fleet Consider a bus fleet with the size 26.
One is the age-reduction model [2].
Section 2 presents the failure data from a bus fleet, and Section 3 discusses the model and parameter estimation method.
In Section 4 we fit the data to the model and analyze the effectiveness of the PM.
Failure data of a bus fleet Consider a bus fleet with the size 26.
One is the age-reduction model [2].
Online since: March 2014
Authors: Zhi Qiang Li
In the present study, since data from multiple indicators to assess non-precision, non-fully identified data, some indicators there is a direct overlap, it is necessary to adopt appropriate methods of reduction and screening indicators.
This analysis includes the following four steps: (1) Reduction and screening of indicator.
Rough set evaluation method for each dimension reduction targets after the weight calculation, and then calculates the score for each dimension. (3) Integration of the target layer risk evaluation.
each reduction in every dimension.
Table 5 Eigenvectors data table mean 0.648 0.539 0.32 0.122 0.429 0.412 0.230 0.296 0.22 0.320 0.429 0.299 0.122 0.165 0.46 0.558 0.142 0.289 According to data table5, the wrights of, , are 0.412, 0.299, 0.289.
This analysis includes the following four steps: (1) Reduction and screening of indicator.
Rough set evaluation method for each dimension reduction targets after the weight calculation, and then calculates the score for each dimension. (3) Integration of the target layer risk evaluation.
each reduction in every dimension.
Table 5 Eigenvectors data table mean 0.648 0.539 0.32 0.122 0.429 0.412 0.230 0.296 0.22 0.320 0.429 0.299 0.122 0.165 0.46 0.558 0.142 0.289 According to data table5, the wrights of, , are 0.412, 0.299, 0.289.
Online since: October 2015
Authors: Nick S. Bennett, Neil M. Wight
(iii) Figure-of-merit (in-plane) was measured by Harman method at 300 K under vacuum using a Keithley 6221 current source and Keithley 2400 voltmeter to give DC and AC resistances, with Z found by linear fitting to current-voltage data.
This was deduced by Hall measurements (not shown) that confirmed a reduction in Hall mobility in these samples.
Since dissolution of vacancy-clusters eventually occurs, this may also contribute to the overall reduction in vacancies [16, 17].
Either explanation supports the hypothesis that Vs are responsible for the k reduction.
Heath, Reduction of thermal conductivity in phononic nanomesh structures, Nature Nanotechnology 5 (2010) 718–721
This was deduced by Hall measurements (not shown) that confirmed a reduction in Hall mobility in these samples.
Since dissolution of vacancy-clusters eventually occurs, this may also contribute to the overall reduction in vacancies [16, 17].
Either explanation supports the hypothesis that Vs are responsible for the k reduction.
Heath, Reduction of thermal conductivity in phononic nanomesh structures, Nature Nanotechnology 5 (2010) 718–721
Online since: October 2014
Authors: Guang Fu Li, Guan Jun Li, Jun Peng, Mao Long Zhang, Zhi Yuan Sun
For integrity analysis of the dissimilar metal weld, it is essential to have enough data of material properties and microstructure in database.
However, the published data have not been enough.
In this work, the mechanical behavior of dissimilar metal weld SA508-52M-316L in various environments was investigated to provide basic data, especially those of SA508-52M part which had significant change in microstructure an micro-chemistry profiles [9].
The data of the potential was converted to standard hydrogen electrode (SHE) scale.
When tested at +300 and +400mV(SHE), brittle failure of SCC took place around the SA508-52M interface, causing the significant drop of elongation and reduction in area.
However, the published data have not been enough.
In this work, the mechanical behavior of dissimilar metal weld SA508-52M-316L in various environments was investigated to provide basic data, especially those of SA508-52M part which had significant change in microstructure an micro-chemistry profiles [9].
The data of the potential was converted to standard hydrogen electrode (SHE) scale.
When tested at +300 and +400mV(SHE), brittle failure of SCC took place around the SA508-52M interface, causing the significant drop of elongation and reduction in area.
Online since: September 2013
Authors: Corina Ioana Neamtu, Liviu Calin Bolundut, Elena Maria Pica
The effect of ozone treatment on metal ions concentration reduction was investigated using the cyclic voltammetry.
Experimental data In the present study, a decrease in aluminum ions concentration in water solution have been tested, using ozonation.
After 30, 60 and 90 minutes of ozonation, a reduction of the aluminum peak amplitude is observed, from the current value of approximately -900 µA, to approximately -400 µA.
Before ozonation After ozonation Fig. 1 Cyclic voltammograms obtained at the determination of the aluminum ions, at 5oC Table 1 Theoretical and experimental data of the aluminum ions determination by cyclic voltammetry in an aqueous solution of Al2(SO4)3·18H2O, at 5 oC Substance Gross sample Ozonated 30 min Ozonated 60 min Ozonated 90 min Normal potential in standard conditions [V] Measured potential [V] Al2(SO4)3·18H2O blue red green yellow -1,66 -1,60 The reaction that could take place is Al3+ + 3e- Alo
After a longer exposure to ozone, a new decrease of the current is observed, probably due to reduction of Al3+ ions to Alo.
Experimental data In the present study, a decrease in aluminum ions concentration in water solution have been tested, using ozonation.
After 30, 60 and 90 minutes of ozonation, a reduction of the aluminum peak amplitude is observed, from the current value of approximately -900 µA, to approximately -400 µA.
Before ozonation After ozonation Fig. 1 Cyclic voltammograms obtained at the determination of the aluminum ions, at 5oC Table 1 Theoretical and experimental data of the aluminum ions determination by cyclic voltammetry in an aqueous solution of Al2(SO4)3·18H2O, at 5 oC Substance Gross sample Ozonated 30 min Ozonated 60 min Ozonated 90 min Normal potential in standard conditions [V] Measured potential [V] Al2(SO4)3·18H2O blue red green yellow -1,66 -1,60 The reaction that could take place is Al3+ + 3e- Alo
After a longer exposure to ozone, a new decrease of the current is observed, probably due to reduction of Al3+ ions to Alo.
Online since: November 2012
Authors: Zheng Huan Hu, Kang Sheng Zhang, Cui Ping Yang
Some scholars found when area reduction is less than 40%, central hole expanded, and the smaller area reduction, the greater the expansion extend [4].
Table 1 Parameters of rolling conditions Rolling condition Forming angle [°] Spread angle [°] Area reduction =(1-d2/D2)*100[%] 1 15 10 15 2 35 3 55 4 75 Fig.2 Finite element model D- diameter of workpiece,d- rolled diameter, α- Forming angle,β-Spread angle Fig.1 Sketch of tool and workpiece α β d D Development of the minute cavity Area reduction Fig.4 Relationship between area difference ratio of the central cavity and area reduction Area difference ratio Area change ratio Nodes data on the circumference of cavity is collected and organized to get the area change of central cavity with the area reduction.
With the increase of the area reduction, the area change ratio decreases gradually from positive to negative value, recoveres slightly at 65% area reduction, closes to zero at 30% area reduction.
As area reduction increases, the area of cavity is reduced gradually till about 65% area reduction.
Fig.4 shows the curve of results with the area reduction.
Table 1 Parameters of rolling conditions Rolling condition Forming angle [°] Spread angle [°] Area reduction =(1-d2/D2)*100[%] 1 15 10 15 2 35 3 55 4 75 Fig.2 Finite element model D- diameter of workpiece,d- rolled diameter, α- Forming angle,β-Spread angle Fig.1 Sketch of tool and workpiece α β d D Development of the minute cavity Area reduction Fig.4 Relationship between area difference ratio of the central cavity and area reduction Area difference ratio Area change ratio Nodes data on the circumference of cavity is collected and organized to get the area change of central cavity with the area reduction.
With the increase of the area reduction, the area change ratio decreases gradually from positive to negative value, recoveres slightly at 65% area reduction, closes to zero at 30% area reduction.
As area reduction increases, the area of cavity is reduced gradually till about 65% area reduction.
Fig.4 shows the curve of results with the area reduction.
Online since: January 2014
Authors: An Zhi Yuan
It realized reduction and harmless and stabilization resource utilization of sludge.
In our country, that level is lower technological level of sludge reduction and stabilization and innocent treatment and resource utilization.
Table1 Legal authority supplied measured data of flue gas mission Pollutant name Unit Thrice observed value Thrice reduced value EU2000 (EU1992) GB18485- 2001 hazardous wastes Smoke dust mg/m3 8,10,12 20,24,29 10 (30) 100 HCL mg/m3 not detected not detected 10 (50) 100 CO mg/m3 20,25,22 50,64,54 50 (300) 400 SO2 mg/m3 6,8,8 15,19,20 200 (--) 500 NOx mg/m3 4,3,4 10,7,10 50 (300) 100 Ringelman Emittance Level 0 0 -- (1) 1 Table2 Legal authority supplied measured data of property of incineration product Property Unit weight Heat conductivity coefficient Burn off rate Radioactivi-ty internal exposure index Radioactivity external exposure index Incineration product 213 kg/m3 0.0825 W/m.k 0.3% 0.2 0,4 Main Economic and Technical Norms: Sludge drying incineration integration circular process kiln equipment and technology principle use for drying or incineration sludge of different sort and use for incineration of solid waste.
Sludge treatment realized reduction and stabilization and innocent treatment and recycling use.
In our country, that level is lower technological level of sludge reduction and stabilization and innocent treatment and resource utilization.
Table1 Legal authority supplied measured data of flue gas mission Pollutant name Unit Thrice observed value Thrice reduced value EU2000 (EU1992) GB18485- 2001 hazardous wastes Smoke dust mg/m3 8,10,12 20,24,29 10 (30) 100 HCL mg/m3 not detected not detected 10 (50) 100 CO mg/m3 20,25,22 50,64,54 50 (300) 400 SO2 mg/m3 6,8,8 15,19,20 200 (--) 500 NOx mg/m3 4,3,4 10,7,10 50 (300) 100 Ringelman Emittance Level 0 0 -- (1) 1 Table2 Legal authority supplied measured data of property of incineration product Property Unit weight Heat conductivity coefficient Burn off rate Radioactivi-ty internal exposure index Radioactivity external exposure index Incineration product 213 kg/m3 0.0825 W/m.k 0.3% 0.2 0,4 Main Economic and Technical Norms: Sludge drying incineration integration circular process kiln equipment and technology principle use for drying or incineration sludge of different sort and use for incineration of solid waste.
Sludge treatment realized reduction and stabilization and innocent treatment and recycling use.
Online since: November 2012
Authors: Zhong Yin Xu, Shan Jun Liu, Li Xin Wu
In this paper according to the actual settlement monitoring data, on basis of considering the construction stage, the settlement data were segmented regression analysis.
Based on the settlement data of foundation of high-rise building, the regression analysis method for the settlement data has been discussed, and the final settlement values are predicted.
The settlement observational data were observed and at the same time, the current load data were also recorded.
The settlement and load data are shown in Table1.
The data in Table is the average value of current six settlement observation points.
Based on the settlement data of foundation of high-rise building, the regression analysis method for the settlement data has been discussed, and the final settlement values are predicted.
The settlement observational data were observed and at the same time, the current load data were also recorded.
The settlement and load data are shown in Table1.
The data in Table is the average value of current six settlement observation points.
Online since: September 2014
Authors: Zhen Xing Wang
The Control Policy For Self-balancing Robot
ZhenXing Wang 1
Shanghai Second Polytechnic University,Shanghai,China
Superwang2002@hotmail.com
Keywords: gyro data fusion,self-balancing robot,PID
Abstract.
The most important factor that must be considered is the tile angle control ,the angle and accelerator data get from gyro is mixed with error and disturbance,the compensation algorithm is discussed in this paper.Furthermore system response time must fit for the electromechanical character of the robot.
All these control parameters will eventually contribute to the PWM output of the motor witch in turn decide the torque output of the motor.The controller is based on STM32103RBT6 CPU,the gyro is MPU6050 which combines the gyro and accelerator and output data in digital formate[2].
The data fusion algorithm outputs the angle dot speed and tilt angle.
The angle and the angular speed are filtered by data fusion algorithm, The experiment show that the proportion and derivative is key to the system stability and the speed control also need to be added to make the robot more and can fixed to a given point.
The most important factor that must be considered is the tile angle control ,the angle and accelerator data get from gyro is mixed with error and disturbance,the compensation algorithm is discussed in this paper.Furthermore system response time must fit for the electromechanical character of the robot.
All these control parameters will eventually contribute to the PWM output of the motor witch in turn decide the torque output of the motor.The controller is based on STM32103RBT6 CPU,the gyro is MPU6050 which combines the gyro and accelerator and output data in digital formate[2].
The data fusion algorithm outputs the angle dot speed and tilt angle.
The angle and the angular speed are filtered by data fusion algorithm, The experiment show that the proportion and derivative is key to the system stability and the speed control also need to be added to make the robot more and can fixed to a given point.