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Online since: March 2015
Authors: Xiao Hui Song, Xiao Li Meng, Zhi Jun Ye, Ye Sheng, Feng Zha Zhao, Ze Chen Wei
In addition to the terminal coverage rate, this paper proposed electricity data acquisition rate.
(2) Where RELA is electricity data acquisition rate; M1 is number of electric meter which can achieve the electric energy data acquisition; M is the total number of electric meter in distribution grid. 4.2 Communication network index With the development of smart distribution grid, it relied more on the communication network.
The carbon dioxide emission reduction reflected the environmental performance of smart distribution grid.
(2) Where RELA is electricity data acquisition rate; M1 is number of electric meter which can achieve the electric energy data acquisition; M is the total number of electric meter in distribution grid. 4.2 Communication network index With the development of smart distribution grid, it relied more on the communication network.
The carbon dioxide emission reduction reflected the environmental performance of smart distribution grid.
An Integrated AHP-Entropy Approach for Spare Parts Supplier Evaluation and Order Quantity Allocation
Online since: January 2012
Authors: Xiao Bing Liu, Hong Guang Bo, Yin Lin Zhang
On the other hand, the objective weighting approaches determine the criteria weights based on the characteristics of the data with mathematical methods, such as the information entropy approach.
After the data standardization with Eq.1, all the criteria scores are converted into positive.
The suppliers’ data of the supply capacity, unacceptable product and delivery delay rate are shown in the 3rd to the 5th column in Table 3.
Talluri, A supply-risk reduction model using integrated multi-criteria decision making.
After the data standardization with Eq.1, all the criteria scores are converted into positive.
The suppliers’ data of the supply capacity, unacceptable product and delivery delay rate are shown in the 3rd to the 5th column in Table 3.
Talluri, A supply-risk reduction model using integrated multi-criteria decision making.
Online since: June 2013
Authors: Huan Zhi Feng, Wei Liang, Lai Bin Zhang, Wen Qing Lu
Collect vibration data of gear works in health condition.
2.
For vibration data of unkown state gear, repeat the steps 1-3. 5.
The gear box vibration data is from the self-designed gear box test bed.
As shown in Fig.4 A, the platform is a two stage reduction gear box.
For vibration data of unkown state gear, repeat the steps 1-3. 5.
The gear box vibration data is from the self-designed gear box test bed.
As shown in Fig.4 A, the platform is a two stage reduction gear box.
Online since: January 2020
Authors: Viktor V. Dubineckij, Victoria A. Gurieva, Aleksandr V. Doroshin
At the same time, according to the calculations of the Russian Academy of Sciences [7], involving only 1% of waste in processing allows for a 2% reduction in investment in the mineral resource complex.
The name of the field and waste SiO2 TiO2 Al2O3 Fe2O3 Na2O K2O MgO CaO Content, % Buguruslanskoe 56.25 0.67 9.48 4.25 1.40 1.61 2.78 8.50 ASW 29.28 0.48 8.66 3.65 0.31 0.94 1.24 3.75 Chemical analysis data allows classifying ASW as an acidic raw material of group II.
The data of X-ray phase analysis of ash and slag ash dumps allowed to establish: the presence of a large glass phase in the range of 18- 32˚ 2θ halo, as well as quartz peaks and clearly pronounced mullite peaks (3Al2O3.SiO2).
Name of raw materials Plasticity number Drying sensitivity coefficient Air shrinkage, % Water absorption, % Average density, kg/cm3 clay loam 16.46 0.78 5.2 18.18 1.6 On the basis of the data obtained on the number of plasticity of loam and literary analysis [8–11], one can judge the feasibility of its use in the production of bricks by the method of semi-dry pressing.
The name of the field and waste SiO2 TiO2 Al2O3 Fe2O3 Na2O K2O MgO CaO Content, % Buguruslanskoe 56.25 0.67 9.48 4.25 1.40 1.61 2.78 8.50 ASW 29.28 0.48 8.66 3.65 0.31 0.94 1.24 3.75 Chemical analysis data allows classifying ASW as an acidic raw material of group II.
The data of X-ray phase analysis of ash and slag ash dumps allowed to establish: the presence of a large glass phase in the range of 18- 32˚ 2θ halo, as well as quartz peaks and clearly pronounced mullite peaks (3Al2O3.SiO2).
Name of raw materials Plasticity number Drying sensitivity coefficient Air shrinkage, % Water absorption, % Average density, kg/cm3 clay loam 16.46 0.78 5.2 18.18 1.6 On the basis of the data obtained on the number of plasticity of loam and literary analysis [8–11], one can judge the feasibility of its use in the production of bricks by the method of semi-dry pressing.
Online since: May 2019
Authors: Siti Kamaluddin, Ines García-Lodeiro, Hajime Kinoshita
The water loss data and microstructure of these samples are of primary interest.
This agrees with pore distribution obtained from mercury infiltration porosimetry data, not included in this manuscript.
Mass loss data indicates that CAP90 lost the largest amount of water which increases the likelihood of void formation.
Kinoshita, Reduction of water content in calcium aluminate cement with/out phosphate modification for alternative cementation technique, Cement and Concrete Research, 2018, 109, 243-253.
This agrees with pore distribution obtained from mercury infiltration porosimetry data, not included in this manuscript.
Mass loss data indicates that CAP90 lost the largest amount of water which increases the likelihood of void formation.
Kinoshita, Reduction of water content in calcium aluminate cement with/out phosphate modification for alternative cementation technique, Cement and Concrete Research, 2018, 109, 243-253.
Online since: July 2015
Authors: Hong Yan Chu, Li Gang Cai, Wei Huang
Extrusion ink temperature curve
Fig. 6 is temperature curve at the axial position of Z=15 (middle position), along the wall circumference direction, extract the wall temperature data from the inlet (X=-30) to the intermediate position (X=0).
Figure 7. 0.3m/s ink temperature nephogram Figure 8. 0.7m/s ink temperature nephogram According to the above method, extract the data of two groups’ temperature, respectively; then compare the data with the result of 0.5m/s, as shown in Fig. 9.
(2) At the extrusion area, along the direction of ink layer thickness, the highest temperature occurs at the middle area and reduces to both sides, reduction value is influenced by the ink roller material
Figure 7. 0.3m/s ink temperature nephogram Figure 8. 0.7m/s ink temperature nephogram According to the above method, extract the data of two groups’ temperature, respectively; then compare the data with the result of 0.5m/s, as shown in Fig. 9.
(2) At the extrusion area, along the direction of ink layer thickness, the highest temperature occurs at the middle area and reduces to both sides, reduction value is influenced by the ink roller material
Online since: January 2012
Authors: De Guang Fang, Fu Xiang Guo, Wen Ku Shi, Wei Liu
By defining the data exchange interface between the integrated controller and the virtual prototyping model, the integrated control of EPS and SAS systems were achieved in simulation environment.
The power torque characteristics of EPS can be described as: (1) (2) (3) where, Tm is the output power torque of EPS; i1 is the reduction ration of reducing mechanism; δ1 is the turn angle of small gear; Ka is the torque coefficient of power motor; Kb is the back electromotive force coefficient of power motor; R is the electric resistance of power motor armature; L is the induction of power motor; nm is the rotational speed of power motor; U and I are the input voltage and current of power motor.
With trigonometric functions in the form of fit together, the tire model can fit experimental data to express the longitudinal, lateral force and aligning torque of tyre force.
Kerem, “Suspended sediment load simulation by two artificial neural network methods using hydrometeorological data,” Environmental Modelling and Software, January 2007 v 22, n 1, pp 2-13.
The power torque characteristics of EPS can be described as: (1) (2) (3) where, Tm is the output power torque of EPS; i1 is the reduction ration of reducing mechanism; δ1 is the turn angle of small gear; Ka is the torque coefficient of power motor; Kb is the back electromotive force coefficient of power motor; R is the electric resistance of power motor armature; L is the induction of power motor; nm is the rotational speed of power motor; U and I are the input voltage and current of power motor.
With trigonometric functions in the form of fit together, the tire model can fit experimental data to express the longitudinal, lateral force and aligning torque of tyre force.
Kerem, “Suspended sediment load simulation by two artificial neural network methods using hydrometeorological data,” Environmental Modelling and Software, January 2007 v 22, n 1, pp 2-13.
Online since: November 2007
Authors: K.L. Pickering, G.W. Beckermann, N.J. Foreman
Since the treated and
untreated fibres experienced similar tensile loads, this increase in strength is thought to be due to the
reduction in fibre diameter due to the removal of amorphous materials from the fibre cell wall.
It can also be seen that there are large standard deviations in this data, indicating that there were significant variations in Young's modulus between composite specimens during testing.
It should be noted that anomalies due to imperfect fibre wetting, imperfect alignment and imperfect fragmentation saturation were removed from the data, as done by Vlasveld et al. [2].
The critical aspect ratio (Lc/D) can be calculated from SFFT data using the following equation [2]: (1) where D is the average fibre diameter (23.6µm) and Lave/D is the arithmetic mean fibre aspect ratio.
It can also be seen that there are large standard deviations in this data, indicating that there were significant variations in Young's modulus between composite specimens during testing.
It should be noted that anomalies due to imperfect fibre wetting, imperfect alignment and imperfect fragmentation saturation were removed from the data, as done by Vlasveld et al. [2].
The critical aspect ratio (Lc/D) can be calculated from SFFT data using the following equation [2]: (1) where D is the average fibre diameter (23.6µm) and Lave/D is the arithmetic mean fibre aspect ratio.
Online since: February 2011
Authors: Jin Biao Zhang, Jing Wen Wang, Zong Yin Duan
In recent years computer simulation based approaches such as finite element analysis are being excessively used for such applications due to their ability to provide realistic design data in short span of time[1-3].
For extrusion of sections, the converging die with lubricants is more preferred to flat-faced die, as it provides a gradual change in shape and reduction of area simultaneously.
Table 3 The results of experiment Scheme number 1 2 3 4 5 6 7 8 l 1.849 0.934 0.487 0.671 2.055 1.154 0.592 1.013 P [MN] 5.809 5.374 5.807 6.615 4.062 3.769 3.849 4.470 Scheme number 9 10 11 12 13 14 15 16 l 2.236 1.794 1.282 1.531 3.105 1.948 2.001 2.486 P [MN] 3.647 3.350 3.330 3.770 2.606 2.563 2.677 2.857 According to the data in Table 1 and Table 3, flow ratio and extrusion force mathematical models have been established by regression analysis, which are expressed as Eq. 4.
The procedure composed of simulating extrusion process, processing data and optimizing computation is repeatedly implemented and the experiment values of the best diameters of diehole location circle are respectively obtained.
For extrusion of sections, the converging die with lubricants is more preferred to flat-faced die, as it provides a gradual change in shape and reduction of area simultaneously.
Table 3 The results of experiment Scheme number 1 2 3 4 5 6 7 8 l 1.849 0.934 0.487 0.671 2.055 1.154 0.592 1.013 P [MN] 5.809 5.374 5.807 6.615 4.062 3.769 3.849 4.470 Scheme number 9 10 11 12 13 14 15 16 l 2.236 1.794 1.282 1.531 3.105 1.948 2.001 2.486 P [MN] 3.647 3.350 3.330 3.770 2.606 2.563 2.677 2.857 According to the data in Table 1 and Table 3, flow ratio and extrusion force mathematical models have been established by regression analysis, which are expressed as Eq. 4.
The procedure composed of simulating extrusion process, processing data and optimizing computation is repeatedly implemented and the experiment values of the best diameters of diehole location circle are respectively obtained.
Online since: April 2012
Authors: V.P. de Freitas, A.S. Guimarães, João M.P.Q. Delgado
All the calculations were done with climate data for Porto city provided by a software tool (METEOTEST 2008 [6]).
This program calculates hourly values of all parameters using a stochastic model and the resulting weather data files are produced in a variety of formats.
The weather data inputted to the model was temperature (º C), relative humidity (-), precipitation (mm/h) and global solar radiation in a horizontal surface (W/m²).
In Table 2 we present the shading factors values of building elements (reduction in the radiation effect) by horizontal and vertical obstacles, nearby the masonry wall in study.
This program calculates hourly values of all parameters using a stochastic model and the resulting weather data files are produced in a variety of formats.
The weather data inputted to the model was temperature (º C), relative humidity (-), precipitation (mm/h) and global solar radiation in a horizontal surface (W/m²).
In Table 2 we present the shading factors values of building elements (reduction in the radiation effect) by horizontal and vertical obstacles, nearby the masonry wall in study.