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Online since: September 2008
Authors: J.M. McGarrity, Aivars J. Lelis, F. Barry McLean, Daniel B. Habersat, Siddharth Potbhare
Room temperature C-V data and Dit vs E on two
400x400µm FETs for Wafer 01 and Wafer 02.
Figure 4 shows the charge pumping data for the same MOSFETs.
Plot of charge pumping data Ncp for Wafer 01 and Wafer 02.
Calculated from data in Figure 2.
We have seen this effect on all devices where charge pumping data could be taken.
Figure 4 shows the charge pumping data for the same MOSFETs.
Plot of charge pumping data Ncp for Wafer 01 and Wafer 02.
Calculated from data in Figure 2.
We have seen this effect on all devices where charge pumping data could be taken.
Online since: December 2012
Authors: Chang Long Yin, Chen Guang Liu, Yong Ming Chai, Ning Li
Temperature-programmed reduction (TPR) analysis was conducted with a Quantachrome ChemBET 3000 instrument.
Table 1 presented the nitrogen physisorption data for NiMo sulfide samples, showing BET surface area (SBET) values of 322 m2·g-1, 280 m2·g-1 and 120 m2·g-1 for NiMoS-FM, NiMoS-FM-rapid and NiMoS-H2O, respectively.
Table 1 Nitrogen physisorption data for NiMo sulfide samples Samples SBET, (m2 g-1) BJH AdsorptionVp (cm3 g-1) BJH Desorption Average Pore Size(nm) NiMoS-FM 322 1.90 3.0 NiMoS-H2O 120 0.50 3.3 NiMoS-FM-rapid 280 1.5 8.5 Table 2 Initial rate constants (k) and selectivity HYD/DDS of the NiMoS-FM and NiMoW-Al2O3 catalysts during the HDS reaction of DBT (T = 573 K, P = 5.0MPa).
Table 2 showed the initial rate constants determined by a linear fit of the experimental data according to the equation described by Huang et al[7].
For the NiMoW-Al2O3 catalyst, two main peaks were observed at 263 and 330 °C. the first TPR peak can be further interpreted as reduction of CoMoS(NiMoS) phase, and the second peak is referred as reduction of unpromoted MoS2 or WS2 phase[8].
Table 1 presented the nitrogen physisorption data for NiMo sulfide samples, showing BET surface area (SBET) values of 322 m2·g-1, 280 m2·g-1 and 120 m2·g-1 for NiMoS-FM, NiMoS-FM-rapid and NiMoS-H2O, respectively.
Table 1 Nitrogen physisorption data for NiMo sulfide samples Samples SBET, (m2 g-1) BJH AdsorptionVp (cm3 g-1) BJH Desorption Average Pore Size(nm) NiMoS-FM 322 1.90 3.0 NiMoS-H2O 120 0.50 3.3 NiMoS-FM-rapid 280 1.5 8.5 Table 2 Initial rate constants (k) and selectivity HYD/DDS of the NiMoS-FM and NiMoW-Al2O3 catalysts during the HDS reaction of DBT (T = 573 K, P = 5.0MPa).
Table 2 showed the initial rate constants determined by a linear fit of the experimental data according to the equation described by Huang et al[7].
For the NiMoW-Al2O3 catalyst, two main peaks were observed at 263 and 330 °C. the first TPR peak can be further interpreted as reduction of CoMoS(NiMoS) phase, and the second peak is referred as reduction of unpromoted MoS2 or WS2 phase[8].
Online since: December 2013
Authors: M. Salman Leong, Lim Meng Hee, M. Haryzul Ghazali
Another statistics published by Western Europe on data gathered from individual plant showed that 10% to 15% of pipework failures are caused by vibration induced fatigue [1].
This paper reviews on the causes of piping vibration, some health monitoring techniques, piping vibration assessment and reduction methods specifically caused by pressure pulsation phenomenon were also presented.
A qualitative assessment, visual inspection and basic measurement are being performed to indentify area of concerns and problem based on measured data.
Special measurement techniques such as Dynamic Strain Measurement and Fatigue Analysis, Experimental Modal Analysis, Operational Deflection Shape and Dynamic Pressure (pulsation) Measurement usually applied to acquire more data for diagnosis purpose.
For reduction of piping vibration, passive control devices offer cheaper price than active control device.
This paper reviews on the causes of piping vibration, some health monitoring techniques, piping vibration assessment and reduction methods specifically caused by pressure pulsation phenomenon were also presented.
A qualitative assessment, visual inspection and basic measurement are being performed to indentify area of concerns and problem based on measured data.
Special measurement techniques such as Dynamic Strain Measurement and Fatigue Analysis, Experimental Modal Analysis, Operational Deflection Shape and Dynamic Pressure (pulsation) Measurement usually applied to acquire more data for diagnosis purpose.
For reduction of piping vibration, passive control devices offer cheaper price than active control device.
Online since: July 2015
Authors: M. Jaat, Him Ramsy, Amir Khalid, Adiba Rhaodah Andsaler
The atomization can be improved through a combustion chamber which contributes to emission reduction by shortening the nozzle orifice diameter.
It was commonly believed that the purpose of high injection pressure was the reduction of PM and the injection timing was retarded so as to reduce NOx [18]..
Figure 7: Effect of Ambient Pressure on Ignition Delay τ1 and τ1 + τ2 [22] Figure 5: pf - pa and pf - pn versus time [10] The lower injection of 30 MPa and a Pa of 4.2 MPa data from Arrehenius have been plotted as show in Figure 7.
The injection of 14 MPa and a Pa of 3.8 MPa are also plotted by Ikegami and Miwa [23] from their experiment data.
The different injection pressure of 14, 30 and 100 MPa was obtained from the data.
It was commonly believed that the purpose of high injection pressure was the reduction of PM and the injection timing was retarded so as to reduce NOx [18]..
Figure 7: Effect of Ambient Pressure on Ignition Delay τ1 and τ1 + τ2 [22] Figure 5: pf - pa and pf - pn versus time [10] The lower injection of 30 MPa and a Pa of 4.2 MPa data from Arrehenius have been plotted as show in Figure 7.
The injection of 14 MPa and a Pa of 3.8 MPa are also plotted by Ikegami and Miwa [23] from their experiment data.
The different injection pressure of 14, 30 and 100 MPa was obtained from the data.
Online since: July 2019
Authors: Pongsakorn Leetrakul, Komgrit Lawanwong
From the experimental results, decreasing of bending moment by bottom pushing-up resulted in the springback reduction.
Fig. 3 shows the comparison of the calculated results of springback angles by calculating from the Y-U and IH model with the corresponding experimental data in conventional U-bending process for various pressure pad; F2.
From this result, it can be seen that the Y–U model agree well with the experimental data to descript the springback angles than IH model.
Fig. 7 shows the springback summarizes of experimental data for 780G and 980Y obtained from experiments under the constant clamping force of 2 kN with various x distances.
(a) summarizes the experimental data of 780Y (b) summarizes the experimental data of 980G Fig. 7.
Fig. 3 shows the comparison of the calculated results of springback angles by calculating from the Y-U and IH model with the corresponding experimental data in conventional U-bending process for various pressure pad; F2.
From this result, it can be seen that the Y–U model agree well with the experimental data to descript the springback angles than IH model.
Fig. 7 shows the springback summarizes of experimental data for 780G and 980Y obtained from experiments under the constant clamping force of 2 kN with various x distances.
(a) summarizes the experimental data of 780Y (b) summarizes the experimental data of 980G Fig. 7.
Online since: January 2012
Authors: Azzurah A. Samah, Lili Ayu Wulandhari, Ang Jun Chin, Hairudin Abdul Majid
The objective data comprised of a complete historical data received from our case study.
The objective data were thoroughly processed to provide useful estimates.
Analyzing the Data At this stage, the focus is to analyze the data in order to establish the impact of usage and mileage and PM upon warranty claim rate.
Finally, the cost of PM is determined by using historical data.
Issues Related to Field Reliability and Warranty Data.
The objective data were thoroughly processed to provide useful estimates.
Analyzing the Data At this stage, the focus is to analyze the data in order to establish the impact of usage and mileage and PM upon warranty claim rate.
Finally, the cost of PM is determined by using historical data.
Issues Related to Field Reliability and Warranty Data.
Online since: February 2011
Authors: Zhi Kai Huang, Ling Ying Hou, Xing Wang Zhang, De Hui Liu
We have studied noise reduction methods using a hybrid Kalman filter with an autoregressive moving average (ARMA) model that the coefficients of the AR models for the Kalman filter are calculated by solving for the minimum square error solutions of over-determined linear systems.
A traditional way to remove noise from image data is to employ spatial filters.
We have studied noise reduction methods using a hybrid Kalman filter with an autoregressive moving average (ARMA) model that the coefficients of the AR models for the Kalman filter are calculated by solving for the minimum square error solutions of over-determined linear systems.
We have studied noise reduction methods using a hybrid Kalman filter with an autoregressive moving average (ARMA) model that the coefficients of the AR models for the Kalman filter are calculated by solving for the minimum square error solutions of over-determined linear systems.
A traditional way to remove noise from image data is to employ spatial filters.
We have studied noise reduction methods using a hybrid Kalman filter with an autoregressive moving average (ARMA) model that the coefficients of the AR models for the Kalman filter are calculated by solving for the minimum square error solutions of over-determined linear systems.
We have studied noise reduction methods using a hybrid Kalman filter with an autoregressive moving average (ARMA) model that the coefficients of the AR models for the Kalman filter are calculated by solving for the minimum square error solutions of over-determined linear systems.
Online since: December 2012
Authors: Bin Wu, Zhi Nan Zhang, Ping Wang
Effect of Design Parameters on the Reduction of Top Piston Ring Friction
Bin Wu1,2, a, Zhinan Zhang3,b,Ping Wang4,c
1State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun
2China FAW Group Corporation R&D Center, Changchun
3School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai
4 Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchuan
a wubin1@rdc.faw.com.cn, bzhinanz@sjtu.edu.cn, c183821101@qq.com
Keywords: Piston Ring, Friction, Lubrication, Oil Film
Abstract.
Recently, researchers focus more on the reduction of piston ring-liner friction loss and improving fuel economy.
Table 1 Input engine data Parameter Symbol[unit] Value Engine speed w[rpm] 2800 Crank radius R[mm] 59.025 Connecting-rod length L[mm] 192 Liner diameter D[mm] 110 Height of ring 1 B[mm] 2.93 Separation distance between top and second ring D12[mm] 9.5 Ring composite surface roughness [um] 0.4 Liner temperature at TDC for ring 1 TDC [degree] 120 Liner temperature at BDC for ring 3 TBC[degree] 90 Effect of Varying Ring Axial Height B The effect of varying of ring axial height on the friction power loss and the minimum oil film of top ring-liner is shown in Fig. 3(a) and 3(b), respectively.
For a piston ring, the smaller the barrel height is the more flat the ring face is, and a more flat ring face will lead to the reduction of ring-liner friction power loss.
Recently, researchers focus more on the reduction of piston ring-liner friction loss and improving fuel economy.
Table 1 Input engine data Parameter Symbol[unit] Value Engine speed w[rpm] 2800 Crank radius R[mm] 59.025 Connecting-rod length L[mm] 192 Liner diameter D[mm] 110 Height of ring 1 B[mm] 2.93 Separation distance between top and second ring D12[mm] 9.5 Ring composite surface roughness [um] 0.4 Liner temperature at TDC for ring 1 TDC [degree] 120 Liner temperature at BDC for ring 3 TBC[degree] 90 Effect of Varying Ring Axial Height B The effect of varying of ring axial height on the friction power loss and the minimum oil film of top ring-liner is shown in Fig. 3(a) and 3(b), respectively.
For a piston ring, the smaller the barrel height is the more flat the ring face is, and a more flat ring face will lead to the reduction of ring-liner friction power loss.
Online since: February 2014
Authors: Raquel da Cunha Ribeiro da Silva, Carlos T. Salinas, Kamal A.R. Ismail
The modeling process was validated by comparison with available experimental data.
Recently Barzanoni et al. [8] proposed in study, dimensionless correlations based on previous experimental data and reported empirical correlations of others for frost properties are proposed.
Numerical simulations and comparisons with available experimental data were made.
Also, the effect of the other parameter as humidity, surface temperature and velocity were numerical predicted and compared with experimental data.
The numerical results obtained seem to be coherent and presents a good agreement with experimental data.
Recently Barzanoni et al. [8] proposed in study, dimensionless correlations based on previous experimental data and reported empirical correlations of others for frost properties are proposed.
Numerical simulations and comparisons with available experimental data were made.
Also, the effect of the other parameter as humidity, surface temperature and velocity were numerical predicted and compared with experimental data.
The numerical results obtained seem to be coherent and presents a good agreement with experimental data.
Online since: June 2020
Authors: Gandjar Kiswanto, Tae Jo Ko, Maulana Azmi, Adrian Mandala
Weight reduction are one of the optimizations of the product that can make it stronger and more efficient nowadays.
Titanium alloys offers high strength with low density and high corrosion resistance that is suitable for weight reduction.
Ti-6Al-4V is the most widely used titanium alloy especially for weight reduction application.
Second test had been done to validate the data and the results showing the same pattern.
Thus, high speed cutting of Ti-6Al-4V offers reduction of production time in practice with lower surface roughness.
Titanium alloys offers high strength with low density and high corrosion resistance that is suitable for weight reduction.
Ti-6Al-4V is the most widely used titanium alloy especially for weight reduction application.
Second test had been done to validate the data and the results showing the same pattern.
Thus, high speed cutting of Ti-6Al-4V offers reduction of production time in practice with lower surface roughness.