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Online since: July 2019
Authors: Tobias Erlbacher, Anton J. Bauer, Tomasz Sledziewski, Holger Schlichting
The yield reduction due to the device manufacturing process in combination with the design parameters is discussed in this work by comparing data from electrical measurement of the devices with process control measurements and TCAD simulations.
In image b) the normalized voltage values at a current density of 1∙10-6 A/cm² are depicted over the channel length approximated by calculation from overlay data.
In image b) the normalized voltage values at a current density of 1∙10-6 A/cm² are depicted over the channel length approximated by calculation from overlay data.
Online since: July 2014
Authors: Saurya Ranjan Ray, Josef Ballmann
Though implicit schemes are unconditionally stable as compared to explicit time integration method, the reduction in the cell size as a result of the grid refinement to capture the flow physics imposes severe numerical limitation on the allowable global timestep, which can be represented as the maximum allowable CFL number.
Pitch-up movement Pitch-down movement Fig. 3 Adapted grid and Mach number variation in the domain Comparison of the variation in lift and moment coefficients during pitching motion as shown in Fig. 4 show a good agreement with the experimental data.
The numerical accuracy of the current scheme is demonstrated by comparison with the available experimental data and with the solutions using a pre-existing Mid-point scheme.
Pitch-up movement Pitch-down movement Fig. 3 Adapted grid and Mach number variation in the domain Comparison of the variation in lift and moment coefficients during pitching motion as shown in Fig. 4 show a good agreement with the experimental data.
The numerical accuracy of the current scheme is demonstrated by comparison with the available experimental data and with the solutions using a pre-existing Mid-point scheme.
Online since: September 2013
Authors: Da Lu Guan, Fang Yang
First, it has nearly 8192 Bytes Flash Read Only Memory (Rom) and it can be updated by the application program, which resolve the difficulty of storing data.
In the typical microchip, it must store the data to the external memory parts, which increase Printed Circuit Board (PCB).
Reference [1] ZHANG Hong; SHEN Ben-xian;“Synthesis and Application Performance of Viscosity Reduction Additive to Super-Viscous Crude Oil“, JOURNAL OF EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY(NATURAL SCIENCE EDITION), 2011,vol 34,pp.477-481, August 2008 [2]Yang, Zu-ying; Zhao, Yuan; , "A correlational research of regional crude oil pipe networks' spatial dimension and regional crude oil production-consumption in China," Information Science and Engineering (ICISE), 2010 2nd International Conference on , vol., no., pp.5547-5550, 4-6 Dec. 2010 [3] Jianye Rao; Yongdong Li; , "Power flow management of a new hybrid cascaded multilevel inverter," Electrical Machines and Systems, 2007.
In the typical microchip, it must store the data to the external memory parts, which increase Printed Circuit Board (PCB).
Reference [1] ZHANG Hong; SHEN Ben-xian;“Synthesis and Application Performance of Viscosity Reduction Additive to Super-Viscous Crude Oil“, JOURNAL OF EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY(NATURAL SCIENCE EDITION), 2011,vol 34,pp.477-481, August 2008 [2]Yang, Zu-ying; Zhao, Yuan; , "A correlational research of regional crude oil pipe networks' spatial dimension and regional crude oil production-consumption in China," Information Science and Engineering (ICISE), 2010 2nd International Conference on , vol., no., pp.5547-5550, 4-6 Dec. 2010 [3] Jianye Rao; Yongdong Li; , "Power flow management of a new hybrid cascaded multilevel inverter," Electrical Machines and Systems, 2007.
Online since: November 2016
Authors: Zhong Cai Qiu, Bo Liu, Qin Yang, Xian He Wu, Ke Wang
It has been proved that, with every reduction in mass of 100 kg, the consumption of fuel will be decreased by approximately 0.41/100km [1], and the CO2 emissions will be reduced by 8~11g/km [2].
Therefore, as many as possible aluminum extruded profiles are utilized in original CAD data, as Fig.2 shows.
The CAD data of aluminum CCB is imported to Hypermesh, a professional CAE pre and post processing software, to established finite element model.
Therefore, as many as possible aluminum extruded profiles are utilized in original CAD data, as Fig.2 shows.
The CAD data of aluminum CCB is imported to Hypermesh, a professional CAE pre and post processing software, to established finite element model.
Online since: July 2011
Authors: Zuo Fen Luo
Results of analysis and fitting of datum
The results of FEM analysis were displayed in table 1.
Due to automatic data-collection system, the resilient displacement corresponding to various level of loading at three temperatures was easy to obtain.
The test datum of several typical specimens was showed in table 4.
Table4 Resilient displacement corresponding to various level of loading at three temperatures Resilient displacement corresponding to various level of loading at -10℃ 0.1P 0.2P 0.3P 0.4P 0.5P 0.6P (7.23-2) 0.321699992 0.414575025 0.503725022 0.58842498 0.669650018 0.75027499 Resilient displacement corresponding to various level of loading at 0℃ (7.21-8) 0.255425006 0.326549964 0.413175047 0.494400024 0.580599963 0.67487502 Resilient displacement corresponding to various level of loading at 15℃ (7.23 -4) 0.178300083 0.236775041 0.287799955 0.358999848 0.445075035 … Noted: ①The ultimate loads P at three temperatures were different from each other: P was 32.0523kN at -10℃, 23.0505kN at 0℃, 10.1139kN at 15℃ ②Symbol 7.23-2, 7.21-8, 7.23-4 represented the number of specimens Fig. 3 Relationship curve between and Data processing and analysis Data processing Because the supposed performance was different from the actual performance of asphalt mixture, the measured resilient displacement
Analysis After data processing, the resilient moduli of asphalt mixture at three temperatures were got and shown in table 5.
Due to automatic data-collection system, the resilient displacement corresponding to various level of loading at three temperatures was easy to obtain.
The test datum of several typical specimens was showed in table 4.
Table4 Resilient displacement corresponding to various level of loading at three temperatures Resilient displacement corresponding to various level of loading at -10℃ 0.1P 0.2P 0.3P 0.4P 0.5P 0.6P (7.23-2) 0.321699992 0.414575025 0.503725022 0.58842498 0.669650018 0.75027499 Resilient displacement corresponding to various level of loading at 0℃ (7.21-8) 0.255425006 0.326549964 0.413175047 0.494400024 0.580599963 0.67487502 Resilient displacement corresponding to various level of loading at 15℃ (7.23 -4) 0.178300083 0.236775041 0.287799955 0.358999848 0.445075035 … Noted: ①The ultimate loads P at three temperatures were different from each other: P was 32.0523kN at -10℃, 23.0505kN at 0℃, 10.1139kN at 15℃ ②Symbol 7.23-2, 7.21-8, 7.23-4 represented the number of specimens Fig. 3 Relationship curve between and Data processing and analysis Data processing Because the supposed performance was different from the actual performance of asphalt mixture, the measured resilient displacement
Analysis After data processing, the resilient moduli of asphalt mixture at three temperatures were got and shown in table 5.
Online since: July 2024
Authors: Jawad Ashraf, Zaheer Ahmad, Naveed Anjum, Usman Ghani
Methodology
2.1 Validation of Numerical Model
The numerical model is validated using experimental data from Plew's [17] laboratory studies.
The mean velocity u/Uo velocities within the canopy region and free region (as shown in Fig. 1) were validated by comparing computational and experimental data.
In the vegetation-covered portions of the FVIs patches, experimental and numerical data demonstrate that the mean flow velocities are drastically lowered.
The outcomes demonstrate that the computational data and experimental data exhibit strong agreement, demonstrating the viability of the current numerical model.
Conversely, discrepancies in experimental data may also occur due to unavoidable human measurement errors during the experiment.
The mean velocity u/Uo velocities within the canopy region and free region (as shown in Fig. 1) were validated by comparing computational and experimental data.
In the vegetation-covered portions of the FVIs patches, experimental and numerical data demonstrate that the mean flow velocities are drastically lowered.
The outcomes demonstrate that the computational data and experimental data exhibit strong agreement, demonstrating the viability of the current numerical model.
Conversely, discrepancies in experimental data may also occur due to unavoidable human measurement errors during the experiment.
Numerical Simulation of Laser Forming of Aluminum Sponges: Effect of Temperature and Heat Treatments
Online since: May 2014
Authors: Denise Bellisario, Loredana Santo, Fabrizio Quadrini, Daniele Ferrari, Anna Santarsiero
In a further study, flexure on larger specimens was also simulated with a very good agreement with experimental data [7].
A value of 0.19 ± 0.02 g/cm3 was obtained, according with the foam nominal datum.
A reduction of 23% is observed in the plateau stress from room temperature to 400°C.
The increase of the plateau stress from as-cast condition to T6 heat treatment is only 24%, comparable with the reduction due to 400°C heating.
A value of 0.19 ± 0.02 g/cm3 was obtained, according with the foam nominal datum.
A reduction of 23% is observed in the plateau stress from room temperature to 400°C.
The increase of the plateau stress from as-cast condition to T6 heat treatment is only 24%, comparable with the reduction due to 400°C heating.
Online since: September 2004
Authors: S.M.M. Hadavi, Shahin Khameneh Asl, M. Heydarzadeh Sohi
Scan number 1 2 3 4 5 6 7 8 9
ψψψψ angle -53.00 -48.34 -43.76 -39.15 -34.38 -29.28 -23.54 -16.40 0.00
Sin
2
(ψψψψ) 0.638 0.558 0.478 0.399 0.319 0.239 0.159 0.080 0.000
Start angle (2θθθθ) 119.025 119.025 119.025 119.025 119.025 119.025 119.025 119.025 119.025
End angle (2θθθθ) 123.975 123.975 123.975 123.975 123.975 123.975 123.975 123.975 123.975
Step size (2θθθθ) 0.050 0.050 0.050 0.050 0.050 0.050 0.050 0.050 0.050
Number of data points 100 100 100 100 100 100 100 100 100
Results and discussion
Material characterization.
Figure 7 illustrates one of these graphs for the as-sprayed coating data's.
Heat treated at As Coat 800 °°°°C 1100°°°°C Residual stress -1181.6 -984 -910.5 Standard deviation ±173.7 ±87.4 ±101.3 The reduction in the residual stresses of the WC-Co coating by heat treatment did not reduce hardness of the coating (see figure 4) and on the contrary resulted in increase in the microhardness of the deposits.
Increasing of the heat treatment temperature from 800 to 1100 °C resulted in recrystalisation of amorphous phases and hence more reduction of the residual stresses in the deposit.
Figure 7 illustrates one of these graphs for the as-sprayed coating data's.
Heat treated at As Coat 800 °°°°C 1100°°°°C Residual stress -1181.6 -984 -910.5 Standard deviation ±173.7 ±87.4 ±101.3 The reduction in the residual stresses of the WC-Co coating by heat treatment did not reduce hardness of the coating (see figure 4) and on the contrary resulted in increase in the microhardness of the deposits.
Increasing of the heat treatment temperature from 800 to 1100 °C resulted in recrystalisation of amorphous phases and hence more reduction of the residual stresses in the deposit.
The Flow Stress and Microstructure Evolution during Hot Compression of Casting AZ91D Magnesium Alloy
Online since: November 2011
Authors: Hong Bo Li, Me Lu, Cai Jie Li
The rolling reduction is 8mm at the strain rate of 0.0015s-1, 0.015s-1, 0.15s-1, respectively.
Using nonlinear regression method of Origin7.0, the model is obtained as the following: (6) Using data analysis module of Origin7.0 software, error analysis is performed for the flow stress model of casting AZ91D magnesium alloy. (1)The coefficient of determination is=0.956344.
The R2 (or R) is closed to 1, indicating that the regression equation and the experimental data fitting very closely. (2)The smaller of the regression sum of squares and residual sum of squares of the model, the smaller of the error between calculated values and measured values.
Using nonlinear regression method of Origin7.0, the model is obtained as the following: (6) Using data analysis module of Origin7.0 software, error analysis is performed for the flow stress model of casting AZ91D magnesium alloy. (1)The coefficient of determination is=0.956344.
The R2 (or R) is closed to 1, indicating that the regression equation and the experimental data fitting very closely. (2)The smaller of the regression sum of squares and residual sum of squares of the model, the smaller of the error between calculated values and measured values.
Online since: October 2011
Authors: Jie Shang, Yuan Yao
Supposed that there are indexes of quantitative evaluation, and it has obtain object indicators of,and forming primitive data matrix of .
Index data analysis.
Pollution reduction[J].2009,4 [4] Bob Eckhardt Digging deep with root cause analysis[J].
Index data analysis.
Pollution reduction[J].2009,4 [4] Bob Eckhardt Digging deep with root cause analysis[J].