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Online since: July 2015
Authors: Jean Philippe Ponthot, Maxime Laugier, Yves Carretta, Romain Boman, André Dubois, Laurent Dubar, Cédric Hubert, Nicolas Legrand
The aluminium strips were subjected to a thickness reduction of 15% during the drawing process.
The second step used these output data to determine lubricant exchange between successive cavities.
Then, the microscopic model curve exhibits larger depth reduction values.
The variation of this parameter will of course affect the depth reduction.
As in previous case, cavity depth reduction is larger with microscopic model.
The second step used these output data to determine lubricant exchange between successive cavities.
Then, the microscopic model curve exhibits larger depth reduction values.
The variation of this parameter will of course affect the depth reduction.
As in previous case, cavity depth reduction is larger with microscopic model.
Online since: October 2006
Authors: Tae Won Kim, Kwang Ki Lee, Kwang Soon Lee
The results obtained are compared with experimental data.
The second term of Eq. 1 represents the reduction of atomic density due to the diffusion process, the third term is reduction of atomic density by capturing of island, and the final term means reduction of atomic density regard to the direct deposition process.
Ag is a common material that is already known in many (a) (b) (c) Fig. 1 Growth of island boundary of Ag for the times of (a) t=10 s, (b) t=20 s, and (c) t=30 s. 50 � 50 � 50 � Table 1 Comparison of the predictions and experimental data of island growth size for Alq3.
The island boundary growth thus has been modeled initially using the available literature data of the material.
The results obtained are compared with experimental data of Alq3, and generally good agreement has been achieved.
The second term of Eq. 1 represents the reduction of atomic density due to the diffusion process, the third term is reduction of atomic density by capturing of island, and the final term means reduction of atomic density regard to the direct deposition process.
Ag is a common material that is already known in many (a) (b) (c) Fig. 1 Growth of island boundary of Ag for the times of (a) t=10 s, (b) t=20 s, and (c) t=30 s. 50 � 50 � 50 � Table 1 Comparison of the predictions and experimental data of island growth size for Alq3.
The island boundary growth thus has been modeled initially using the available literature data of the material.
The results obtained are compared with experimental data of Alq3, and generally good agreement has been achieved.
Online since: June 2014
Authors: Jing Wang
First of all, according to the schedule of construction, data collected progress in the process, and the data collection and analysis.
Then, the actual schedule data analysis results compared with the original schedule, progress deviation value are obtained.
Aiming at this problem, Esin Ergen a, Bureu Akinci b, Rafael Saeks c did three tests used to verify RFID data collection effect in different environment, a test: test object is prefabricated.
Within the component yard mobile tower crane with reader, succeeded in identifying all of the prefabricated steel components, data exchange 100% accuracy.
Test data show that when using the four antennas and speed in 1 to 2 MPH, all the components on the truck can be identified correctly.
Then, the actual schedule data analysis results compared with the original schedule, progress deviation value are obtained.
Aiming at this problem, Esin Ergen a, Bureu Akinci b, Rafael Saeks c did three tests used to verify RFID data collection effect in different environment, a test: test object is prefabricated.
Within the component yard mobile tower crane with reader, succeeded in identifying all of the prefabricated steel components, data exchange 100% accuracy.
Test data show that when using the four antennas and speed in 1 to 2 MPH, all the components on the truck can be identified correctly.
Online since: July 2014
Authors: Xiao Lian Deng, Si Min Ai, Zhuo Li He
Fawang Ye et al. applied part of the data did some experiment[3].
The experimental data is SASI airborne hyperspectral data which was taken from Xifeng oilfield in southern ordos basin.
At the same time it can reduce data redundancy and data computation.
Resizing a small piece of image data from Xifeng oilfield as the experimental data.
Thanks for their Remote Sensing data and fund support.
The experimental data is SASI airborne hyperspectral data which was taken from Xifeng oilfield in southern ordos basin.
At the same time it can reduce data redundancy and data computation.
Resizing a small piece of image data from Xifeng oilfield as the experimental data.
Thanks for their Remote Sensing data and fund support.
Online since: December 2013
Authors: Mahmud Hilmi, Asna Mohd Zain, Shaaban Md Ghazaly
Al3+(soluble) ↔ Al(OH)4 (insoluble) ↔ Al(OH)4- (soluble) Eq. (2)
(a) metal concentration (b) percent reduction
Fig. 1: TCLP leachate of W/C 0.4 (a) metal concentration and (b) percent reduction
(a) metal concentration (b) percent reduction
Fig. 2: TCLP leachate of W/C 0.45 (a) metal concentration (b) percent reduction
(a) metal concentration (b) percent reduction
Fig. 3: TCLP leachate of W/C 0.5 (a) metal concentration (b) percent reduction
Release of metal ions in TCLP leachate with CRMs
The individual plot of metal ions concentration in TCLP extracts of OPC-sludge with CRMs namely CSF, FA, AC, RHA and MK are represented in Figures 4 (a) to (e).
Noyes Data Corp., Park Ridge (1990)
Noyes Data Corp., Park Ridge (1990)
Online since: September 2024
Authors: Yan Barbosa Werneck, Rodrigo Weber dos Santos, Flavia de Bastos, Luciana Paixão Motta
The experimental data were collected through the video recording
of the domain during a two-phase flow on a transparent porous medium.
Image processing To calibrate the parameters of our model using actual data acquired from our experiments, it is important to establish a means to compare the outcomes of the numerical simulations with the empirical data.
Given that our numerical model replicates the material dispersion across the porous medium, it becomes essential to devise a methodology for approximating the material dispersion within the experimental domain by leveraging the accumulated data.
This operation facilitates improved differentiation of image features and patterns, contributing to enhanced interpretability and analysis of the experimental data.
Hence, the results were consistent with the experimental data, although they missed certain aspects of the fluid displacement.
Image processing To calibrate the parameters of our model using actual data acquired from our experiments, it is important to establish a means to compare the outcomes of the numerical simulations with the empirical data.
Given that our numerical model replicates the material dispersion across the porous medium, it becomes essential to devise a methodology for approximating the material dispersion within the experimental domain by leveraging the accumulated data.
This operation facilitates improved differentiation of image features and patterns, contributing to enhanced interpretability and analysis of the experimental data.
Hence, the results were consistent with the experimental data, although they missed certain aspects of the fluid displacement.
Online since: April 2009
Authors: Celeste M.C. Pereira
The cone data reported here were
obtained by burning samples in the horizontal position with an exposed surface of 100×100 mm2
and are the average of two or three replicated samples.
The peak heat release rate is reproducible within ±10% and the time-to-ignition data is reproducible within ±15% [5].
Heat release rate data for neat UP, MMT- and LDH-UP nanocomposites are shown in Figure 1.
Conclusions Cone calorimeter analyses show high performance of LDH clays in the reduction of UP flammability.
A significant reduction of 51% in the UP peak heat release rate (PHRR) was observed by incorporating 1% of LDH.
The peak heat release rate is reproducible within ±10% and the time-to-ignition data is reproducible within ±15% [5].
Heat release rate data for neat UP, MMT- and LDH-UP nanocomposites are shown in Figure 1.
Conclusions Cone calorimeter analyses show high performance of LDH clays in the reduction of UP flammability.
A significant reduction of 51% in the UP peak heat release rate (PHRR) was observed by incorporating 1% of LDH.
Online since: September 2011
Authors: Xiang Dong Wang, Ai Min Deng, Dao Yuan Xu
According to the results, the non-linear characteristic of the concrete material exhibited in the loading process is reflected by the phenomenon that the slope of the later stage shows some reduction in the simulated load - loading point displacement curve.
(a) The beam specimen model (b) The column specimen model Fig.1 The numerical simulation models Fig.2 Typical load vs. loading point displacement The non-linear characteristic of the concrete material exhibited in the loading process is reflected by the phenomenon that the slope of the later stage shows some reduction in the simulated load - loading point displacement curve.
Critical curve and fracture criterion of concrete fracture derived from numerical simulation Through the analysis of results of numerical simulation, it is in appropriate to fit the Ⅰ-Ⅱmixed mode, Ⅰ-Ⅲ mixed mode or Ⅰ-Ⅱ-Ⅲ mixed mode data with a curve or surface.
In the absence of actual test data or lack of laboratory equipment, numerical simulation is still an effective estimation method, and the results can be adopted for engineering projects.
(a) The beam specimen model (b) The column specimen model Fig.1 The numerical simulation models Fig.2 Typical load vs. loading point displacement The non-linear characteristic of the concrete material exhibited in the loading process is reflected by the phenomenon that the slope of the later stage shows some reduction in the simulated load - loading point displacement curve.
Critical curve and fracture criterion of concrete fracture derived from numerical simulation Through the analysis of results of numerical simulation, it is in appropriate to fit the Ⅰ-Ⅱmixed mode, Ⅰ-Ⅲ mixed mode or Ⅰ-Ⅱ-Ⅲ mixed mode data with a curve or surface.
In the absence of actual test data or lack of laboratory equipment, numerical simulation is still an effective estimation method, and the results can be adopted for engineering projects.
Online since: August 2013
Authors: Yu En Wu, Kuo Chan Huang
The worm whirls the worm gear to achieve high reduction ratio.
I-7188EAD is the controller of this system, sensor sends a voltage signal to A/D converter, and reads the data from A/D controller.
The core baseband processor of TC35i processes the signals of voice and data in GSM terminal, and contains all analog and digital functions of cellular radio equipment.
The data is transmitted to I-7188EAD by I-7018R A/D converter via RS-485.
When sensor detects the light-to-voltage signal, through A/D converter (I-7018R), the data is transmitted to the embedded controller (I-7188EAD) by the communication mode of RS-485, to operate and control the motor operation.
I-7188EAD is the controller of this system, sensor sends a voltage signal to A/D converter, and reads the data from A/D controller.
The core baseband processor of TC35i processes the signals of voice and data in GSM terminal, and contains all analog and digital functions of cellular radio equipment.
The data is transmitted to I-7188EAD by I-7018R A/D converter via RS-485.
When sensor detects the light-to-voltage signal, through A/D converter (I-7018R), the data is transmitted to the embedded controller (I-7188EAD) by the communication mode of RS-485, to operate and control the motor operation.
Online since: November 2013
Authors: Guang Bing Wan, Zhi Xiong Huang, Min Xian Shi, Kun Huang, Zhao Rui Chen
In order to weaken the dangers of vibration, vibration reduction technology has become a research hot spot[1-2].
Through the characteristics of the material to absorb or change the mechanical energy into heat energy or electricity, etc, to achieve the effect of damping vibration reduction; Active damping to reduce the vibration is an important branch of active control, with the cooperation of the sensing unit, driving unit and controlling unit, it exercise its restraints upon the vibration, then it realizes the role of vibration reduction.
The controller compare the collected data with a reference value, then calculate the new input values using the difference between the collected data and the reference value, it lets the system data to achieve or maintain the reference.
PID controller can adjust the input values based on historical data and the rates of difference, so that we can make the system more accurate and stable[7].
Through the characteristics of the material to absorb or change the mechanical energy into heat energy or electricity, etc, to achieve the effect of damping vibration reduction; Active damping to reduce the vibration is an important branch of active control, with the cooperation of the sensing unit, driving unit and controlling unit, it exercise its restraints upon the vibration, then it realizes the role of vibration reduction.
The controller compare the collected data with a reference value, then calculate the new input values using the difference between the collected data and the reference value, it lets the system data to achieve or maintain the reference.
PID controller can adjust the input values based on historical data and the rates of difference, so that we can make the system more accurate and stable[7].