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Online since: December 2013
Authors: Shou Jun Huang, Yu Long Ren
Introduction
The report published in the Proceedings of the National Academy of Sciences(CICERO, 2008) pointed out that the global carbon emissions had increased by 13% in the past 10 years, in which the carbon emissions from transportation increased by 25%, and the data will increased by 30%-50% in 2050.
Average transport distance of railway transport is 595km(NBS, 2006), and every kg of saved diesel is equivalent to an emission reduction of 3.06 kg CO2.
The present is 80-95%, and is 6.62%(CEC, 2012), After substituting related data into above formula, following results were obtained, power transmission efficiency was 74.70-88.71%, when electric vehicle charge 1kWh of electricity, power plant should produce 1.13-1.34kWh of power.
Besides introducing energy-saving emission reduction technology in electric power generation, the CO2 emissions of coal-fired power generation side caused by electric vehicle can also be reduced by improving battery charging technology and by reducing power consumption per kilometers.
Average transport distance of railway transport is 595km(NBS, 2006), and every kg of saved diesel is equivalent to an emission reduction of 3.06 kg CO2.
The present is 80-95%, and is 6.62%(CEC, 2012), After substituting related data into above formula, following results were obtained, power transmission efficiency was 74.70-88.71%, when electric vehicle charge 1kWh of electricity, power plant should produce 1.13-1.34kWh of power.
Besides introducing energy-saving emission reduction technology in electric power generation, the CO2 emissions of coal-fired power generation side caused by electric vehicle can also be reduced by improving battery charging technology and by reducing power consumption per kilometers.
Online since: January 2015
Authors: Artem Korsun, Anastasiia Fidrikova, Olga Grishina, Alexey Marichev
However data about one of the main performance indicators of acoustic isolation of mineral wool – coerced dynamic modulus of elasticity Ep are absent.
0.02 10.5 1.58 13 0.0249 14 0.0181 10.7 1.64 12.3 0.0214 10.6 1.82 13.1 0.0257 11 1.2 12.4 0.0198 10.7 1.6 14 0.025 11.1 1.23 12.5 0.0179 11 1.2 15 0.0226 11.2 1.02 13 0.0219 12 0.468 12 0.519 13.2 0.0162 Thickness assay h, [m] 0.018 0.018 0.018 0.018 0.018 0.018 Resonance frequency f, [Hz] 10 40 10 40 10 40 Еd, [N/m²] 14197.8 572456 14197.8 572456 14197.8 572456 Еp, [N/m²] 1.34∙105 6.92∙105 1.34∙105 6.92∙105 1.34∙105 6.92∙105 Calculation of impact noise insulation of flooring 1. without acoustic insulation layer The index of the reduced impact noise level Lnw, [dB], under the floor without a sound-insulating layer with the floor of the roll materials should be determined by the equation (14) [21]: Lnw=Lnw0 - ∆Lnw, (4) where ∆Lnw - index decrease reduced impact noise level, [dB], received in accordance with the published data
The difference 7 [dB] (under a load of 2000 [N/m²]) and 1 [dB] (under a load of 5000 [N/m²]) shows reduction impact noise by the use of basalt wool.
[5] Beranek L.L.Noise Réduction (1960) Mc.Graw-Hill Book Company, pp 369-726
0.02 10.5 1.58 13 0.0249 14 0.0181 10.7 1.64 12.3 0.0214 10.6 1.82 13.1 0.0257 11 1.2 12.4 0.0198 10.7 1.6 14 0.025 11.1 1.23 12.5 0.0179 11 1.2 15 0.0226 11.2 1.02 13 0.0219 12 0.468 12 0.519 13.2 0.0162 Thickness assay h, [m] 0.018 0.018 0.018 0.018 0.018 0.018 Resonance frequency f, [Hz] 10 40 10 40 10 40 Еd, [N/m²] 14197.8 572456 14197.8 572456 14197.8 572456 Еp, [N/m²] 1.34∙105 6.92∙105 1.34∙105 6.92∙105 1.34∙105 6.92∙105 Calculation of impact noise insulation of flooring 1. without acoustic insulation layer The index of the reduced impact noise level Lnw, [dB], under the floor without a sound-insulating layer with the floor of the roll materials should be determined by the equation (14) [21]: Lnw=Lnw0 - ∆Lnw, (4) where ∆Lnw - index decrease reduced impact noise level, [dB], received in accordance with the published data
The difference 7 [dB] (under a load of 2000 [N/m²]) and 1 [dB] (under a load of 5000 [N/m²]) shows reduction impact noise by the use of basalt wool.
[5] Beranek L.L.Noise Réduction (1960) Mc.Graw-Hill Book Company, pp 369-726
Online since: February 2018
Authors: Zhao Ming Li, Hai Chang Jiang, Yun Li Wang, Duo Zhang, De Sheng Yan, Li Jian Rong
According to electrochemical polarization data, some investigators reported that the synergistic effect of Sc and Zr increased the corrosion resistance of 7xxx series Al alloys [3,4], while some authors reported that the combined action did not reveal any improvement in the corrosion resistance of 7xxx series Al alloys [5].
Table 2 Electrochemical data from analyses of polarization curves.
The reduction of maximum corrosion depth indicates that the addition of Sc addition can enhance IGC resistance of medium strength Al-Zn-Mg alloy.
Discussion Wloka et al. [6] reported that the addition of Sc get the alloy less stable against corrosive attack on a macroscopic scale, which was attributed to the reduction in the protective property of oxide layer across the coarse primary Al3(Sc, Zr) particles/matrix interface.
Table 2 Electrochemical data from analyses of polarization curves.
The reduction of maximum corrosion depth indicates that the addition of Sc addition can enhance IGC resistance of medium strength Al-Zn-Mg alloy.
Discussion Wloka et al. [6] reported that the addition of Sc get the alloy less stable against corrosive attack on a macroscopic scale, which was attributed to the reduction in the protective property of oxide layer across the coarse primary Al3(Sc, Zr) particles/matrix interface.
Online since: December 2018
Authors: Rudolf Kawalla, Madlen Ullmann, Johannes Luft, Marie Moses, Ulrich Prahl
Therefore, magnesium products has been come to the fore since the industry has a demand for lightweight construction materials regarding legal requirements for CO2 reduction.
The bars with an initial diameter of 40 mm were rolled to an end diameter of 8 mm within 14 passes without using lubricant or reheating during the process, which corresponds to an area reduction of 96 %.
Technical data of the three-stand rolling mill at the Institute of Metal Forming Calibre sequence Pass Elongation λ Pass Elongation λ 1 1,09 8 1,22 2 1,25 9 1,38 3 1,48 10 1,21 4 1,21 11 1,33 5 1,50 12 1,16 6 1,19 13 1,19 7 1,43 14 1,05 Microstructural investigations.
Mordike (Eds.), Magnesium technology: Metallurgy, design data, applications, Springer, Berlin, Heidelberg, 2006
The bars with an initial diameter of 40 mm were rolled to an end diameter of 8 mm within 14 passes without using lubricant or reheating during the process, which corresponds to an area reduction of 96 %.
Technical data of the three-stand rolling mill at the Institute of Metal Forming Calibre sequence Pass Elongation λ Pass Elongation λ 1 1,09 8 1,22 2 1,25 9 1,38 3 1,48 10 1,21 4 1,21 11 1,33 5 1,50 12 1,16 6 1,19 13 1,19 7 1,43 14 1,05 Microstructural investigations.
Mordike (Eds.), Magnesium technology: Metallurgy, design data, applications, Springer, Berlin, Heidelberg, 2006
Online since: February 2013
Authors: Paula Bajdor, Janusz Grabara
Data of Public Transport System in Czestochowa [8]
Specification
unit
2005
2006
2007
Number of passengers (total)
mln
69,416
65,817
63,104
Lines length:
Buses
City
Suburbs
Trams
km
603
593
398,1
194,9
10,2
603
593
398,1
194,9
10,2
552,8
544,3
405
139,3
8,5
Number of lines:
Buses
City
Suburbs
Trams
Pcs.
36
26
10
1
36
26
10
1
33
26
7
1
No of buses
No of trams
pcs
154
48
164
48
148
48
No of km
Buses
Trams
13811
11437
2374
13848
11505
2343
Technical availability factor
Buses
Trams
%
83
87,5
85,8
85,4
Fleet utilization rate
Buses
Trams
%
78,7
64,6
80
62,5
The above table shows that urban transport in Czestochowa loses its passengers, year by year.
The adopted transport policy for the city of Czestochowa, leads to the following specific objectives: - Increasing the efficiency of the city with the increasing levels of motorization, - Improving the quality of services offered by the municipal transport company, - Improving parking conditions, - Reducing emissions generated by transport, - Noise reduction, - Improving road safety, - Improving the economic efficiency of transport.
The data for the year 2015 are only estimates, however, given the nature of the investments and sustainable transport policy objectives, it can be assumed that the use of public transport and cycling will increase, together with the reduction in the number of accidents and pollution emissions into the atmosphere.
The adopted transport policy for the city of Czestochowa, leads to the following specific objectives: - Increasing the efficiency of the city with the increasing levels of motorization, - Improving the quality of services offered by the municipal transport company, - Improving parking conditions, - Reducing emissions generated by transport, - Noise reduction, - Improving road safety, - Improving the economic efficiency of transport.
The data for the year 2015 are only estimates, however, given the nature of the investments and sustainable transport policy objectives, it can be assumed that the use of public transport and cycling will increase, together with the reduction in the number of accidents and pollution emissions into the atmosphere.
Online since: July 2014
Authors: Kuttiyapillai Dhanasekaran, Ramachandran Rajeswari
They expressed parallelism by creating parallel data structures and invoking the parallel operators.
Similarly, we define two documents in the same data set.
After increasing the percentage of data selection, the average accuracy was 96.8%.
Classifier was designed to make use of a development test data set to avoid overfitting of data so that while estimation of accuracy, our method shows better result.
[9] Y.Jun,Z.Benyu,L.Ning,Y.Shuicheng,C.Qiansheng,F.Weiguo,Y.Qiang,X.Wensi,C.Zheng,Effec-tive and Efficient Dimensionality Reduction for Large-Scale and Streaming Data Preprocessing, IEEE Transactions on Knowledge and Data Engineering.
Similarly, we define two documents in the same data set.
After increasing the percentage of data selection, the average accuracy was 96.8%.
Classifier was designed to make use of a development test data set to avoid overfitting of data so that while estimation of accuracy, our method shows better result.
[9] Y.Jun,Z.Benyu,L.Ning,Y.Shuicheng,C.Qiansheng,F.Weiguo,Y.Qiang,X.Wensi,C.Zheng,Effec-tive and Efficient Dimensionality Reduction for Large-Scale and Streaming Data Preprocessing, IEEE Transactions on Knowledge and Data Engineering.
Online since: February 2011
Authors: Lai Gang Zhao, Dao Jiong Chen
Table.1 Constant Parameters for ACC distance model
Parameters
Values
Parameters
Values
Mass of automobile full loaded-m
10000 kg
Rolling radius of wheel-r
0.45 m
Power train Transmission dratio-i0
1.54
Main reduction gear transmission ratio-ig
6.33
Mechanical transmission- nt
0.98
Coefficient of Air resistance-Cd
0.9
Frontal area-A
5.4575 m2
Coefficient of Rolling resistance-f
0.01
Braking reaction time-tr
0.6 s
Braking operating time-t1
0.05 s
Brake functioning time-t2
0.5 s
Maximum braking accelerlationdemax
0.58g
Acceleration of gravity-g
9.8 m/s2
Design and Application of the Mamdani Fuzzy System
Here Fuzzy GUI in MATLAB was applied to design the fuzzy control blockset of the whole system[4].
All the training data were shown in Table.2, ranged from -6 to 6.
Table.2 Control rules for fuzzy system off-line e ec -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 -6 6 6 5 5 4 4 3 3 2 2 1 0 0 -5 6 5 5 4 4 3 3 2 2 1 0 0 0 -4 5 5 4 4 3 3 2 2 1 0 0 0 -1 -3 5 4 4 3 3 2 2 1 0 0 0 -1 -2 -2 4 4 3 3 2 2 1 1 0 0 -1 -2 -2 -1 4 3 3 2 2 1 1 0 -1 -1 -2 -2 -3 0 3 3 2 2 1 1 0 -1 -1 -2 -2 -3 -3 1 3 2 2 1 1 0 -1 -1 -2 -2 -3 -3 -4 2 2 2 1 0 0 -1 -1 -2 -2 -3 -3 -4 -4 3 2 1 0 0 -1 -1 -2 -2 -3 -3 -4 -4 -5 4 1 0 0 0 -1 -2 -2 -3 -3 -4 -5 -5 -5 5 0 0 0 -1 -1 -2 -3 -3 -4 -4 -5 -5 -6 6 0 0 -1 -1 -2 -2 -3 -3 -4 -5 -5 -6 -6 Based on the data above, the ANFIS would be trained during which the deviation and step would change.
Fig.5 Output relative distance and acceleration curves Conclusions This paper presented one Mamdani fuzzy control method for ACCS and after that one ANFIS was designed based on realistic data.Finally sequent curves on acceleration, velocity and distance were obtained which greatly verified the flexibility and efficiency of this distance control method and contributed fairly much to the development of intelligent automobile driving innovation.
All the training data were shown in Table.2, ranged from -6 to 6.
Table.2 Control rules for fuzzy system off-line e ec -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 -6 6 6 5 5 4 4 3 3 2 2 1 0 0 -5 6 5 5 4 4 3 3 2 2 1 0 0 0 -4 5 5 4 4 3 3 2 2 1 0 0 0 -1 -3 5 4 4 3 3 2 2 1 0 0 0 -1 -2 -2 4 4 3 3 2 2 1 1 0 0 -1 -2 -2 -1 4 3 3 2 2 1 1 0 -1 -1 -2 -2 -3 0 3 3 2 2 1 1 0 -1 -1 -2 -2 -3 -3 1 3 2 2 1 1 0 -1 -1 -2 -2 -3 -3 -4 2 2 2 1 0 0 -1 -1 -2 -2 -3 -3 -4 -4 3 2 1 0 0 -1 -1 -2 -2 -3 -3 -4 -4 -5 4 1 0 0 0 -1 -2 -2 -3 -3 -4 -5 -5 -5 5 0 0 0 -1 -1 -2 -3 -3 -4 -4 -5 -5 -6 6 0 0 -1 -1 -2 -2 -3 -3 -4 -5 -5 -6 -6 Based on the data above, the ANFIS would be trained during which the deviation and step would change.
Fig.5 Output relative distance and acceleration curves Conclusions This paper presented one Mamdani fuzzy control method for ACCS and after that one ANFIS was designed based on realistic data.Finally sequent curves on acceleration, velocity and distance were obtained which greatly verified the flexibility and efficiency of this distance control method and contributed fairly much to the development of intelligent automobile driving innovation.
Online since: October 2011
Authors: Chang Qing Dong, Shu Hua Su, Shi Ye Feng, Qiang Lu, Zhi Bo Zhang, Xiao Qiang Wang
The result and analysis of the experiment
At a certain temperature(different bed thickness and initial moisture content), we plot the drying data of rice husk and cornstalk in the same figure.
Theoretically, the increase of the bed thickness will lead to reduction of the concentration differences between air and moisture content which is a driving power in the process of drying.
Here are the analysis of data with rate of drying time and drying rate.
Due to a large number of data is deficiency, so it is difficult to analyze the regular pattern in detail for the whole drying time will increase with the adding of layer.
Theoretically, the increase of the bed thickness will lead to reduction of the concentration differences between air and moisture content which is a driving power in the process of drying.
Here are the analysis of data with rate of drying time and drying rate.
Due to a large number of data is deficiency, so it is difficult to analyze the regular pattern in detail for the whole drying time will increase with the adding of layer.
Online since: January 2012
Authors: Hong Liang Yu, Zhao Qi He, Yu Chao Song
More accurate vibration isolator model can be achieved by designating dynamic and static stiffness test data of prototyping model into ADAMS, so that the dynamic characteristics of the vibration isolator is consistent with actual isolator through data fitting [6].
Simulation parameters serial number parameter Case 1 Case 2 Case 3 Case 4 free attenuation of nonlinear stiffness system without external excitation, comparison between nonlinear and linear stiffness system with external incentives, nonlinear stiffness system in three different incentive frequency respectively increased frequency of incentive to strong resonated system. simulation failure 3 Simulation results and data analysis The acceleration-time curve of nonlinear system without external excitation is shown in Figure 3 after conducting dynamic simulation in ADAMS/View and processing the simulation results in post-processing module.
Vibration reduction of a nonlinear spring pendulum under multi external and parametric excitations via a longitudinal absorber.
Simulation parameters serial number parameter Case 1 Case 2 Case 3 Case 4 free attenuation of nonlinear stiffness system without external excitation, comparison between nonlinear and linear stiffness system with external incentives, nonlinear stiffness system in three different incentive frequency respectively increased frequency of incentive to strong resonated system. simulation failure 3 Simulation results and data analysis The acceleration-time curve of nonlinear system without external excitation is shown in Figure 3 after conducting dynamic simulation in ADAMS/View and processing the simulation results in post-processing module.
Vibration reduction of a nonlinear spring pendulum under multi external and parametric excitations via a longitudinal absorber.
Online since: October 2011
Authors: Sung Ho Chang, Young Moo Heo, Jong Deok Kim, Heung Kyu Kim
If the die roll height of power transfer part like gear is large, then a structural defect can occur due to the reduction of power transfer surface.
The die roll heights of three fine blanked gear samples were measured in optical measurement inspection system(Datastar 200) and Table 3 shows the measured data of die roll heights on the gear samples.
The Measured data of die roll heights on the gear samples die chamfer shape module die roll height [mm] X[mm] A[°] 0.1 30 0.5 0.687 0.15 1.0 1.468 0.2 1.5 1.349 0.2 2.0 1.122 0.1 2.5 0.978 0.15 45 0.5 0.773 0.2 1.0 1.462 0.2 1.5 1.314 0.1 2.0 1.203 0.15 2.5 1.032 0.2 60 0.5 0.766 0.2 1.0 1.504 0.1 1.5 1.451 0.15 2.0 1.170 0.2 2.5 0.989 The measured data of die roll heights on the fine blanked gear samples were analyzed and then two graphs were acquired as shown in Fig. 8.
The die roll heights of three fine blanked gear samples were measured in optical measurement inspection system(Datastar 200) and Table 3 shows the measured data of die roll heights on the gear samples.
The Measured data of die roll heights on the gear samples die chamfer shape module die roll height [mm] X[mm] A[°] 0.1 30 0.5 0.687 0.15 1.0 1.468 0.2 1.5 1.349 0.2 2.0 1.122 0.1 2.5 0.978 0.15 45 0.5 0.773 0.2 1.0 1.462 0.2 1.5 1.314 0.1 2.0 1.203 0.15 2.5 1.032 0.2 60 0.5 0.766 0.2 1.0 1.504 0.1 1.5 1.451 0.15 2.0 1.170 0.2 2.5 0.989 The measured data of die roll heights on the fine blanked gear samples were analyzed and then two graphs were acquired as shown in Fig. 8.