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Online since: November 2007
Authors: Gyu Hyun Kim, Joon Bum Shim, John Ghekiere, Eric J. Bergman, Geun Min Choi, Kang Heon Lee, Bai Kil Choi, Kee Joon Oh
The average number of particles added was 6
(normalized average treating particle reductions as zero added).
Figure 5: XPS data comparing both processes Figure 6: Particle performance of HF vapor chamber To successfully implement the HF vapor cleaning process, it is critical to control the formation of aerosol droplets which may produce Light Point Defects (LPDs) on surface particle monitoring equipment.
Table II shows particle data dependence on the HF vapor cleaning conditions.
Particle map @ 0.12μm (a) (b) Added particle level > 10,000 ea < 50 ea N2:HFv 5 lpm:2 lpm 10 lpm:1 lpm N2/HFv nozzle Side/Bottom Side HF Temp 20 oC 18 oC Tox E/R 30 Å ~66 Å /20s 18 Å /50s Table II: HF vapor cleaned particle data; (a) High particle level HF vapor cleaning condition, (b) Low particle level HF vapor cleaning condition The modified wet-clean followed by HF vapor cleaning show that electrical parameters such as threshold voltage(Vt), P+ poly gate Rs, electrical gate oxide thickness, and gate oxide breakdown voltage(BV) are all the same compared to conventional wet cleaning conditions (Fig 7).
Figure 5: XPS data comparing both processes Figure 6: Particle performance of HF vapor chamber To successfully implement the HF vapor cleaning process, it is critical to control the formation of aerosol droplets which may produce Light Point Defects (LPDs) on surface particle monitoring equipment.
Table II shows particle data dependence on the HF vapor cleaning conditions.
Particle map @ 0.12μm (a) (b) Added particle level > 10,000 ea < 50 ea N2:HFv 5 lpm:2 lpm 10 lpm:1 lpm N2/HFv nozzle Side/Bottom Side HF Temp 20 oC 18 oC Tox E/R 30 Å ~66 Å /20s 18 Å /50s Table II: HF vapor cleaned particle data; (a) High particle level HF vapor cleaning condition, (b) Low particle level HF vapor cleaning condition The modified wet-clean followed by HF vapor cleaning show that electrical parameters such as threshold voltage(Vt), P+ poly gate Rs, electrical gate oxide thickness, and gate oxide breakdown voltage(BV) are all the same compared to conventional wet cleaning conditions (Fig 7).
Online since: February 2011
Authors: Bin Yu, Jian Han, Hui Sun
Introduction
Radar-absorbing material (RAM) is a very effective means of RCS reduction in the context of camouflage technology.
Table 1 summarizes the data from DSC.
The radar wave absorption properties of the fibers Figure 4 The effect of CB content on the wave absorption of fiber 1: CB 5 Wt% 2: CB 10 Wt% 3: CB 15 Wt% Table 2 Wave absorption data of fiber with various CB content from Figure 4 CB content (Wt%) 5 10 15 The lowest reflectivity (dB) -3.82 -9.08 -8.88 5 dB absorption bandwidth (GHz) 0 12 9.8 7 dB absorption bandwidth (GHz) 0 7 5 The figure 4 shows the wave absorption properties of fibers and the data is shown in Table 2.
Table 1 summarizes the data from DSC.
The radar wave absorption properties of the fibers Figure 4 The effect of CB content on the wave absorption of fiber 1: CB 5 Wt% 2: CB 10 Wt% 3: CB 15 Wt% Table 2 Wave absorption data of fiber with various CB content from Figure 4 CB content (Wt%) 5 10 15 The lowest reflectivity (dB) -3.82 -9.08 -8.88 5 dB absorption bandwidth (GHz) 0 12 9.8 7 dB absorption bandwidth (GHz) 0 7 5 The figure 4 shows the wave absorption properties of fibers and the data is shown in Table 2.
Online since: February 2011
Authors: Han Ying Zheng, Ying Xiong
But the fatigue experimental data for 16MnR welded joint are not sufficient, and cycle mechanical properties and fatigue behaviour of the welded joint are not researched completely.
The original test data can be read and recorded automatically by the machine.
Table3 Parameters of basic mechanical properties Material Elastic modulus E (MPa) Yield strength σs (MPa) Ultimate strength σb (MPa) Reduction of area ψ(%) Weld metal 2.55E+05 428.65 550.5 46.35 Welded joint 2.535E+05 394.8 521.7 46.3 All the specimens in the welded joint (sampling position 2 in Fig.2) fracture in HAZ.
The strain–life curve can be described by the following three-parameter equation, (1) where Δε/2 is the strain amplitude, Nf is the number of cycles to failure, ε0 is the fatigue endurance limit, ε0 and the remaining two quantities in Eq. (1) are material-related constants that are obtained by best fitting the experimental strain–life data, as shown in Table 4.
The original test data can be read and recorded automatically by the machine.
Table3 Parameters of basic mechanical properties Material Elastic modulus E (MPa) Yield strength σs (MPa) Ultimate strength σb (MPa) Reduction of area ψ(%) Weld metal 2.55E+05 428.65 550.5 46.35 Welded joint 2.535E+05 394.8 521.7 46.3 All the specimens in the welded joint (sampling position 2 in Fig.2) fracture in HAZ.
The strain–life curve can be described by the following three-parameter equation, (1) where Δε/2 is the strain amplitude, Nf is the number of cycles to failure, ε0 is the fatigue endurance limit, ε0 and the remaining two quantities in Eq. (1) are material-related constants that are obtained by best fitting the experimental strain–life data, as shown in Table 4.
Online since: August 2011
Authors: Ian A. Ashcroft, Chandragupt Gorwade, Foz Hughes, Dong Yu Cai, Gerry Swallowe, Mo Song, Steve Shaw, Vadim V. Silberschmidt
The aim of this project is to attempt to produce a new material for use in body armour linings which meets or exceeds the mechanical properties of UHMWPE, whilst providing a reduction in the overall weight and/or cost of production.
This results in data which has an unsatisfactorily low resolution.
Several techniques have been explored to this end, including the use of polymeric [3] and tubular bars [4], but these systems add complications to the analysis of data, and so a simpler system is being used in this work in which the bars are made of a magnesium alloy, having a significant closer density to the sample materials than the traditional steel bars.
However, good data could be obtained when magnesium alloy bars were used.
This results in data which has an unsatisfactorily low resolution.
Several techniques have been explored to this end, including the use of polymeric [3] and tubular bars [4], but these systems add complications to the analysis of data, and so a simpler system is being used in this work in which the bars are made of a magnesium alloy, having a significant closer density to the sample materials than the traditional steel bars.
However, good data could be obtained when magnesium alloy bars were used.
Online since: January 2012
Authors: Ying Xia Qi, Ying Ming Xie, Dao Ping Liu, Xiao Bo Xuan, Ju Li, Ni Liu
It’s a pressing need for reduction and control of CO2.
The pressure and temperature are recorded by data acquisition system online.
CO2 gas cylinder 2. check valve 3. sample bag 4. thermostatic coolant bath 5. reactor 6. magnetic stirrer 7.gas flow meter 8. pressure transducer 9. platinum resistance transducer 10. data acquisition system Figure 2.
Then hydrate formation started and it was tracked through monitored temperatures and pressures continuously displayed on-line by data acquisition system.
The pressure and temperature are recorded by data acquisition system online.
CO2 gas cylinder 2. check valve 3. sample bag 4. thermostatic coolant bath 5. reactor 6. magnetic stirrer 7.gas flow meter 8. pressure transducer 9. platinum resistance transducer 10. data acquisition system Figure 2.
Then hydrate formation started and it was tracked through monitored temperatures and pressures continuously displayed on-line by data acquisition system.
Online since: October 2011
Authors: Tian Zi Chai, Meng Wei Tong
The reduction of one logistics activity cost may cause increase of the other logistics activity cost because of the tradeoff.
Input data, simulate transportation system costs change, analyse the data and give policy advice.
Due to the limit of the paper length, this paper didn’t input data to the model and gave the availability test.
Input data, simulate transportation system costs change, analyse the data and give policy advice.
Due to the limit of the paper length, this paper didn’t input data to the model and gave the availability test.
Online since: December 2010
Authors: Juan Bartolomé, M.S. Platunov, A. Figueroa, J. Blasco, N.V. Kazak, N.B. Ivanova, V.V. Rudenko, Ana B. Arauzo
According to the X-ray data the unit cell volume remains approximately the same under substitution.
However the experimental data shown in Table 2 well obey the simple formula (2) It is not consistent with the assumption about high or intermediate spin Co4+ appeared in the system under substitution according to charge equilibrium condition.
This effect may be the consequence of diamagnetic dilution by calcium and the reduction of the nearest neighbouring magnetic gadolinium ions.
According to magnetic data, we can not consider the holes, brought to the system by inovalent substitution as localized on the cobalt ions.
However the experimental data shown in Table 2 well obey the simple formula (2) It is not consistent with the assumption about high or intermediate spin Co4+ appeared in the system under substitution according to charge equilibrium condition.
This effect may be the consequence of diamagnetic dilution by calcium and the reduction of the nearest neighbouring magnetic gadolinium ions.
According to magnetic data, we can not consider the holes, brought to the system by inovalent substitution as localized on the cobalt ions.
Online since: July 2019
Authors: Mario Saggio, Daniela Cavallaro, Edoardo Zanetti, Mario Pulvirenti
A drain current Id and Vgs reduction is observed Fig. 3(a).
The conduction model has been fine-tuned by using experimental data set in order to have a good fit either threshold voltage or I-V characteristics also in saturation conditions.
Key parameters to gain a good match between experimental data and simulation output are the density of state energy profile localized at gate oxide Silicon Carbide interface, the anisotropic mobility values and the electron saturation velocity.
Conclusions In the present work, a Finite Element Model which takes into account the physical structure of MOSFET and the experimental test data, has been created.
The conduction model has been fine-tuned by using experimental data set in order to have a good fit either threshold voltage or I-V characteristics also in saturation conditions.
Key parameters to gain a good match between experimental data and simulation output are the density of state energy profile localized at gate oxide Silicon Carbide interface, the anisotropic mobility values and the electron saturation velocity.
Conclusions In the present work, a Finite Element Model which takes into account the physical structure of MOSFET and the experimental test data, has been created.
Online since: August 2014
Authors: Jian Hui Chen, Guang Long Wang, Zhou Yang Bi, Chun Hua YU
Then the data which was collected after 128 times mean, was transmitted to a computer for subsequent processing.
Acoustic attenuation coefficient is defined as the reduction degree of sound pressure.
According to the data provided, the thermal barrier density is 1.18g/cm3.
According to the data provided, the cladding layer density is 1.11g/cm3.
Acoustic attenuation coefficient is defined as the reduction degree of sound pressure.
According to the data provided, the thermal barrier density is 1.18g/cm3.
According to the data provided, the cladding layer density is 1.11g/cm3.
Online since: July 2014
Authors: Rong Ji Liu, Yun Zhao Li, Chun Xia Cao
Hash function and data structure are both the bottleneck technology.
At present, it is very hard to design a new revolutionary data structure.
The test data herein is from the Internet, and contains more than 7,400 thousands 5-tuple.
To resolve the conflict, in addition to a function with good uniformity, but also depends on the data structure.
However, for connection management in high-speed networks, the multiple slots data structure is an excellent choice.
At present, it is very hard to design a new revolutionary data structure.
The test data herein is from the Internet, and contains more than 7,400 thousands 5-tuple.
To resolve the conflict, in addition to a function with good uniformity, but also depends on the data structure.
However, for connection management in high-speed networks, the multiple slots data structure is an excellent choice.