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Online since: July 2014
Authors: Ye Xing, Lu Zhang, Zhe Yuan Cheng, Kai Gu
From this we can see that whether pre-distortion or reduction in modulation depth can all eliminate or reduce nonlinear of MZM modulation, but we should notice that compensation of pre-distortion changes the phase trace among conversion of original symbol.
The driving clock of ADC in coherent receiver is proximately 2 times of signal clock, therefore, the time-delay sampling used in coherent system is synchronous time-delay sampling, the relations of sampling rate and symbol rate is as follows: (6) We can find that the time interval between 2 sampling points of each data is one stable value and it is depend on sampling frequency of ADC.
The time-delay sampling scheme produced by X polarization data in zero QPSK system is indicated by figure 5.
Figure 5 Principle scheme based on OFDE and time-delay sampling technology Figure 6 Time-delay sampling scheme produced by polarization data If we define the distance from each point to diagonal as one variable d of time-delay sampling scheme, then we can get the following: (7) Choose one dispersion estimation parameter from it: Fd=[std(dx)+ std(dy)]/2 (8) Of which, std means the standard difference of data.
Simulation Result and Performance Analysis In the process of simulation, we use data length of Fd to uniformly set as 512.
The driving clock of ADC in coherent receiver is proximately 2 times of signal clock, therefore, the time-delay sampling used in coherent system is synchronous time-delay sampling, the relations of sampling rate and symbol rate is as follows: (6) We can find that the time interval between 2 sampling points of each data is one stable value and it is depend on sampling frequency of ADC.
The time-delay sampling scheme produced by X polarization data in zero QPSK system is indicated by figure 5.
Figure 5 Principle scheme based on OFDE and time-delay sampling technology Figure 6 Time-delay sampling scheme produced by polarization data If we define the distance from each point to diagonal as one variable d of time-delay sampling scheme, then we can get the following: (7) Choose one dispersion estimation parameter from it: Fd=[std(dx)+ std(dy)]/2 (8) Of which, std means the standard difference of data.
Simulation Result and Performance Analysis In the process of simulation, we use data length of Fd to uniformly set as 512.
Online since: June 2014
Authors: Tomokatsu Hayakawa, Masayuki Nogami, Philippe Thomas, Yusuke Kasuya, Toshiki Suhara
X-ray photoelectron spectroscopic (XPS) data were recorded (ULVAC-PHI, PHI 50000 Versa Probe).
The data were referenced to C 1s peak (binding energy (BE) 284.8 eV) resulting from adventitious hydrocarbons present on the sample surface.
From this data, the optical band gap energy Eopt of the glasses was determined by the following equation [7].
The ratio of TeO2 unit structures, especially TeO4 (tbp) (600, 660 cm-1), TeO3 (tp) (780 cm-1) and their intermediate structure TeO3+1 (740 cm-1) and connectivity of Te-O-Te linkage (400, 450 cm-1) in TeO2 glass network are obtained from deconvoluted data of Raman spectra [2].
Since Ag2O broke Te-O-Te linkages in Ag2O-Nb2O5-TeO2 glass system as seen in Raman data, it could be expected that Rec(3) of the glasses studied would decrease.
The data were referenced to C 1s peak (binding energy (BE) 284.8 eV) resulting from adventitious hydrocarbons present on the sample surface.
From this data, the optical band gap energy Eopt of the glasses was determined by the following equation [7].
The ratio of TeO2 unit structures, especially TeO4 (tbp) (600, 660 cm-1), TeO3 (tp) (780 cm-1) and their intermediate structure TeO3+1 (740 cm-1) and connectivity of Te-O-Te linkage (400, 450 cm-1) in TeO2 glass network are obtained from deconvoluted data of Raman spectra [2].
Since Ag2O broke Te-O-Te linkages in Ag2O-Nb2O5-TeO2 glass system as seen in Raman data, it could be expected that Rec(3) of the glasses studied would decrease.
Online since: March 2013
Authors: Xin Wang, Kao Zhong Zhao, Chang Jiu Jiang, Xiang Rui Chen
The temperature-time curve in furnace is illustrated in Fig.3,and the heating setup is shown in Fig.4.
1.4 Measurement
The measured data in testing includes: temperature of the furnace, temperature of concrete and reinforcement in bonded-in beam, the mid-span deflection, the strain of bonded-in rebar in the interface of high temperature at the place where the rebars are planted.
To obtain the data mentioned above, E and F Type thermocouples, differential displacement transformer as well as high temperature strain gauges are used.
The data is representative due to its smallest anchorage depth and shortest fire time.
There is no data collected at the end of curve C, which means the gauge fails in high temperature.
Data at the end of curve A and B keeps basically stable, and the strain value reflects the stress variation of rebar after the adhesive failure.
To obtain the data mentioned above, E and F Type thermocouples, differential displacement transformer as well as high temperature strain gauges are used.
The data is representative due to its smallest anchorage depth and shortest fire time.
There is no data collected at the end of curve C, which means the gauge fails in high temperature.
Data at the end of curve A and B keeps basically stable, and the strain value reflects the stress variation of rebar after the adhesive failure.
Online since: October 2011
Authors: Sayed Mohamad Nikouei, Mohammad Ali Kouchakzadeh, M.A. Kadivar, R. Yousefi
There is not enough data about the chip formation during the machining of composite materials produced by powder extrusion method.
First, the friction angle β is found by substituting the experimental data for the cutting force (Fc) and the axial force (Ft) in Eq. 2.
Consequently, the experimental cutting forces data and the cutting forces that are calculated according to Merchant and Lee-Shafer models are compared with each other.
This means that the data of these models compared with the experimental data are underestimated.
Third reason for reduction of cutting forces can be the thermal softening of the aluminum matrix, which occurs with increasing cutting temperature.
First, the friction angle β is found by substituting the experimental data for the cutting force (Fc) and the axial force (Ft) in Eq. 2.
Consequently, the experimental cutting forces data and the cutting forces that are calculated according to Merchant and Lee-Shafer models are compared with each other.
This means that the data of these models compared with the experimental data are underestimated.
Third reason for reduction of cutting forces can be the thermal softening of the aluminum matrix, which occurs with increasing cutting temperature.
Online since: August 2010
Authors: Nai Wei Zou, Qun Liang Dai, Yuan Hua Jia, Wei Zhang, You Cun Ren
The simulation result of tradition loader model compare with
the test data to amend the model.
Among them, the simulation results of tradition loader model compare with the test data, through continuously modify and improve the simulation model till the simulation results are close to the test data; in order to maintain the same simulation accuracy, the hybrid loader simulation model is rebuilt based on the traditional one, re-matched the parameters of dynamic system and added the control strategy. 3.1.
The Cruise can realize the load change by setting: ① Select "empty" in the Load State of cycle run, then select the "Variable Additional Load" in the drop-down selection box; ②Right click the map of working conditions on the Profile, and choose the button of "table editor" in the pop-up menu, then select "Additional Load" in 8 line from the setting chart of cycling condition, in accordance with the corresponding relationship of the duty cycle set the varied data of load mass, then the loader model can simulate the conditions of varying load
To make full use of hybrid loader advantages of energy saving and emission reduction, it is needs to re-match hybrid loader power system parameters such as engine, motor and battery (super-capacitor) according to the loader working cycle, so that the energy components not only can match each other to meet the requirements of the working cycle, but also make the hybrid loader have the lowest power consumption
(3) The hybrid loader configuration that this article designed not only realize the dynamic performance of the original loader, but also save the fuel consumption by 10.4% and explore a new road for the energy-saving and emission reduction of the construction machinery industry.
Among them, the simulation results of tradition loader model compare with the test data, through continuously modify and improve the simulation model till the simulation results are close to the test data; in order to maintain the same simulation accuracy, the hybrid loader simulation model is rebuilt based on the traditional one, re-matched the parameters of dynamic system and added the control strategy. 3.1.
The Cruise can realize the load change by setting: ① Select "empty" in the Load State of cycle run, then select the "Variable Additional Load" in the drop-down selection box; ②Right click the map of working conditions on the Profile, and choose the button of "table editor" in the pop-up menu, then select "Additional Load" in 8 line from the setting chart of cycling condition, in accordance with the corresponding relationship of the duty cycle set the varied data of load mass, then the loader model can simulate the conditions of varying load
To make full use of hybrid loader advantages of energy saving and emission reduction, it is needs to re-match hybrid loader power system parameters such as engine, motor and battery (super-capacitor) according to the loader working cycle, so that the energy components not only can match each other to meet the requirements of the working cycle, but also make the hybrid loader have the lowest power consumption
(3) The hybrid loader configuration that this article designed not only realize the dynamic performance of the original loader, but also save the fuel consumption by 10.4% and explore a new road for the energy-saving and emission reduction of the construction machinery industry.
Online since: July 2006
Authors: David S. Wilkinson, J. David Embury, Xin Jian Duan, Ji Dong Kang, Mukesh K. Jain
Conventional wisdom suggests that the reduction of ductility is due to
the effect of particles as nucleating sites for damage.
We present experimental data which supports this conclusion.
Conventional wisdom suggests that the reduction of ductility is due to the effect of particles as nucleating sites for damage.
Particle field of CC0.08 alloy observed under optical microscopy The forming limits of both CC and DC materials were constructed using data from three different tests: uniaxial tensile test, wide-plate plane strain tensile test and hydraulic bulge test.
We present experimental data which supports this conclusion.
Conventional wisdom suggests that the reduction of ductility is due to the effect of particles as nucleating sites for damage.
Particle field of CC0.08 alloy observed under optical microscopy The forming limits of both CC and DC materials were constructed using data from three different tests: uniaxial tensile test, wide-plate plane strain tensile test and hydraulic bulge test.
Online since: October 2011
Authors: Zhi Bo Cheng, Bin Lin, Tao Ma
The testing machine is composed by the low-temperature cabinet, the autoloading system, the data collector and so on.
In the process of loading test, data collection and the end of the experiment is all completely finished by computer automatically controlled over the W3Z - 200 type tester, as shown in figure 1 below.
Through Fig. 4, Fig.5, as we can know from the analysis of test result under the different freezing temperature .The parameters “a” reflect the size of frozen clay ultimate strength, and is linear increased with the reduction of freezing temperature, but the parameters “b” has the trend of linear decreases as the reduction of freezing temperature.
In the process of loading test, data collection and the end of the experiment is all completely finished by computer automatically controlled over the W3Z - 200 type tester, as shown in figure 1 below.
Through Fig. 4, Fig.5, as we can know from the analysis of test result under the different freezing temperature .The parameters “a” reflect the size of frozen clay ultimate strength, and is linear increased with the reduction of freezing temperature, but the parameters “b” has the trend of linear decreases as the reduction of freezing temperature.
Online since: December 2011
Authors: Xun Mei Han
Gear: reliable, long life; instantaneous transmission ratio is a constant; reduction efficiency; compact; power and speed and wide range of application.
Under the existing load, calculated as follows: Calculate the motor step angle ratio, according to the required pulse equivalent, step angle θ is calculated as follows: (1) Where: S --- Screw pitch (mm) Δ--- (mm / pulse) i --- reduction ratio Calculate the motor load torque M (2) Where: F --- start unit load (N) --- The total transmission efficiency (here the first to bring 1) Based on the above data, you can choose 17HS001 motor. 17HS001 motor specific parameters shown in Table1.
Table 1. 42HS003 electric stepper motor technical data Motor Model Phase number Step Angle Phase current Drive Voltage Maximum static torque Phase Resistance Phase inductance Weight Supporting the drive 17HS001 2 1.8° 1.7A DC24V 0.45Nm 3.3Ω 3.7mH 0.35Kg ST-2HB02X Match with the stepper motor drive for the ST-2HB02X drive.
Under the existing load, calculated as follows: Calculate the motor step angle ratio, according to the required pulse equivalent, step angle θ is calculated as follows: (1) Where: S --- Screw pitch (mm) Δ--- (mm / pulse) i --- reduction ratio Calculate the motor load torque M (2) Where: F --- start unit load (N) --- The total transmission efficiency (here the first to bring 1) Based on the above data, you can choose 17HS001 motor. 17HS001 motor specific parameters shown in Table1.
Table 1. 42HS003 electric stepper motor technical data Motor Model Phase number Step Angle Phase current Drive Voltage Maximum static torque Phase Resistance Phase inductance Weight Supporting the drive 17HS001 2 1.8° 1.7A DC24V 0.45Nm 3.3Ω 3.7mH 0.35Kg ST-2HB02X Match with the stepper motor drive for the ST-2HB02X drive.
Online since: September 2012
Authors: Qin He Zhang, Ru Po Ma, Pei Qi Wang, Bao Tian Dong
In order to improve the accuracy of simulation, the material is tested by the Gleeble-1500 thermo-mechanical tester to get the true stress-strain data, and then the VUMAT(User-defined Material Mechanical Behavior) programme is written to define material model.
Besides saving computational, the most important function is that the simulation can be continued on base of element re-meshing and data transfer.
It can be seen that the deformation of the flange is bigger than that of web, because the rolling reduction of vertical roller is larger than that of horizontal roller.
The mechanical property of flange can be decreased through increasing the flange reduction, but that of web be improved.
Besides saving computational, the most important function is that the simulation can be continued on base of element re-meshing and data transfer.
It can be seen that the deformation of the flange is bigger than that of web, because the rolling reduction of vertical roller is larger than that of horizontal roller.
The mechanical property of flange can be decreased through increasing the flange reduction, but that of web be improved.
Online since: August 2014
Authors: Dmitrii Chechushkov, Yakov Novikov
Data load units and set in the power transformers are shown in Tables 1 and 2 respectively.
Fig. 2 - Single-line diagram of the test network Table 1 - Load test network substations № of node 1 bus bar, {МVА} 2 bus bar, {МVА} № of node 1 bus bar, {МVА} 2 bus bar, {МVА} 11 2.7+i0.9 3.2+i1.12 15 0.82+i0.9 0.6+i0.6 17 0.25+i0.1 0 23 0.56+i0.675 0.36+i0.9 19 0.54+i0.29 0.06+i0.07 7 1+i0.45 1.3+i1.4 10 2+i1.7 1.3+i1.68 9 0.7+i0.675 0.5+i0.775 6 0.2+i0.45 1+i0.84 5 1.3+i0.4 1.5+i0.3 16 2.5+i1.18 2.4+i1.21 14 1.8+i0.7 1.5+i0.6 20 0.6+i0.43 1+i0.77 22 0.78+i0.73 0.39+i0.69 12 3.2+i0.95 3.4+i1.35 13 2+i0.15 1.9+i0.2 Table 2 - Data of transformer № of node R, {Ohm} X, {Ohm} G, {S} B, {S} Kt S, {kVA} 7, 9, 11, 19, 22 1.48 24.4 7.51 46.3 0.177 6300 17, 10, 20, 5 2.72 24.4 5.44 32.7 0.175 4000 6, 16, 14, 2.72 24.4 5.44 32.7 0.175 16000 12 , 13, 15, 23 0.788 10.5 9.23 44.3 0.174 10000 Resistivities lines are 0.25 0.4 Ohm / km.
Damage reduction is achieved by reducing the amount of load shedding for consumers and reduces the duration of a power outage at consumers. 3.
Kling, “Dynamic reduction of distribution networks with dispersed generation”, International Conference on Future Power Systems (FPS), Amsterdam, Netherlands, November 2005., [2] A.
Fig. 2 - Single-line diagram of the test network Table 1 - Load test network substations № of node 1 bus bar, {МVА} 2 bus bar, {МVА} № of node 1 bus bar, {МVА} 2 bus bar, {МVА} 11 2.7+i0.9 3.2+i1.12 15 0.82+i0.9 0.6+i0.6 17 0.25+i0.1 0 23 0.56+i0.675 0.36+i0.9 19 0.54+i0.29 0.06+i0.07 7 1+i0.45 1.3+i1.4 10 2+i1.7 1.3+i1.68 9 0.7+i0.675 0.5+i0.775 6 0.2+i0.45 1+i0.84 5 1.3+i0.4 1.5+i0.3 16 2.5+i1.18 2.4+i1.21 14 1.8+i0.7 1.5+i0.6 20 0.6+i0.43 1+i0.77 22 0.78+i0.73 0.39+i0.69 12 3.2+i0.95 3.4+i1.35 13 2+i0.15 1.9+i0.2 Table 2 - Data of transformer № of node R, {Ohm} X, {Ohm} G, {S} B, {S} Kt S, {kVA} 7, 9, 11, 19, 22 1.48 24.4 7.51 46.3 0.177 6300 17, 10, 20, 5 2.72 24.4 5.44 32.7 0.175 4000 6, 16, 14, 2.72 24.4 5.44 32.7 0.175 16000 12 , 13, 15, 23 0.788 10.5 9.23 44.3 0.174 10000 Resistivities lines are 0.25 0.4 Ohm / km.
Damage reduction is achieved by reducing the amount of load shedding for consumers and reduces the duration of a power outage at consumers. 3.
Kling, “Dynamic reduction of distribution networks with dispersed generation”, International Conference on Future Power Systems (FPS), Amsterdam, Netherlands, November 2005., [2] A.