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Online since: October 2016
Authors: K. Hemanth, S.K. Lohit, K.V. Gangadharan, Hemantha Kumar
Simulation data have satisfactory agreements with the experimental data under the sinusoidal excitation.
Shivaram et al. [20] by design of experiments (DOE) approach in order to obtain the experimental data and based on experimental data statistical modeling equation was formulated which can function similarly like the RMS damping force of an MR damper.
The maximum peak to peak amplitude/stroke is 15 mm and it can be operated manually which is compatible to PC based data acquisition system.
The displacement signals are sent to data acquisition system.
The data signals from NI-9215 and NI-9237 is acquired in Labview environment.
Shivaram et al. [20] by design of experiments (DOE) approach in order to obtain the experimental data and based on experimental data statistical modeling equation was formulated which can function similarly like the RMS damping force of an MR damper.
The maximum peak to peak amplitude/stroke is 15 mm and it can be operated manually which is compatible to PC based data acquisition system.
The displacement signals are sent to data acquisition system.
The data signals from NI-9215 and NI-9237 is acquired in Labview environment.
Online since: March 2014
Authors: Qian Chu Liu, Wyman Zhuang
The results from this study have demonstrated that the modified compliance method can produce consistent and accurate fatigue crack growth data under variable amplitude loading conditions.
The standard compliance method employs crack gauge clips across the notch mouth of the test specimen, and obtains the CA crack growth data based on the calibrated relationship between compliance measured and crack size.
The ASTM E647-11 [3] thus recommended a caution should be taken when the compliance method uses the correlation coefficients calibrated from the CA growth rate data to measure FCG under the VA loading.
It measures differential pressure when crack propagation breaches a vacuum gallery so that the system can detect the crack size in-situ and record FCG data [[].
Verification of the Modified Compliance and its FCG Data The relationship between crack length and block of spectrum loads were measured by the modified compliance method.
The standard compliance method employs crack gauge clips across the notch mouth of the test specimen, and obtains the CA crack growth data based on the calibrated relationship between compliance measured and crack size.
The ASTM E647-11 [3] thus recommended a caution should be taken when the compliance method uses the correlation coefficients calibrated from the CA growth rate data to measure FCG under the VA loading.
It measures differential pressure when crack propagation breaches a vacuum gallery so that the system can detect the crack size in-situ and record FCG data [[].
Verification of the Modified Compliance and its FCG Data The relationship between crack length and block of spectrum loads were measured by the modified compliance method.
Online since: April 2025
Authors: Sandhyarani Biswas, Naveen Kumar
These predictions are then compared with published data to validate the accuracy of the FEA model.
The FEA technique predicts the natural frequency and SERR response for published data on SLJ and composite plate.
Hence, the developed FEA model can predict good agreement results with published data from this comparative analysis.
Comparison of natural frequency response of published data [1] and current FEA model.
Initially, the designed FEA model eigenvalue and SERR response are compared with the published data.
The FEA technique predicts the natural frequency and SERR response for published data on SLJ and composite plate.
Hence, the developed FEA model can predict good agreement results with published data from this comparative analysis.
Comparison of natural frequency response of published data [1] and current FEA model.
Initially, the designed FEA model eigenvalue and SERR response are compared with the published data.
Online since: September 2023
Authors: Wasawat Nakkiew, Teewin Plangsrinont, Sasithorn Khamput, Adirek Baisukhan
The results of the study show that the simulation results agree with the experimental data.
The primary mechanism of this sensor is to monitor the temperature on the tube surface and then transmit the data to a computing system, as seen in Figure 2(a).
Data Comparison (Validation).
The temperature data from sensor on the waterwall was recorded and shown the real-time result through the monitor program.
In this experiment, water was injected 10 times at each location of G9, H9 and I9 to reduce data errors.
The primary mechanism of this sensor is to monitor the temperature on the tube surface and then transmit the data to a computing system, as seen in Figure 2(a).
Data Comparison (Validation).
The temperature data from sensor on the waterwall was recorded and shown the real-time result through the monitor program.
In this experiment, water was injected 10 times at each location of G9, H9 and I9 to reduce data errors.
Online since: January 2014
Authors: Ling Juan Li, Guo Hua Ye, J.R. Linna, Xiao Bing Liu, Ming Ming Liu
The results show that the combined performance model output corresponds well with measured data.
For temperature estimation, the measured temperature and estimated data curves have same trend for all tested drive cycles.
The largest temperature difference between the estimated and measured data is about 0.6 K for 60km/h constant driving which is reasonable owing to the environment effect.
For battery voltage, the tested and estimated data show voltage accuracy within 4% for the three driving condition.
Parameter estimation of lithium-ion batteries and noise reduction using an H∞ filter[J].
For temperature estimation, the measured temperature and estimated data curves have same trend for all tested drive cycles.
The largest temperature difference between the estimated and measured data is about 0.6 K for 60km/h constant driving which is reasonable owing to the environment effect.
For battery voltage, the tested and estimated data show voltage accuracy within 4% for the three driving condition.
Parameter estimation of lithium-ion batteries and noise reduction using an H∞ filter[J].
Online since: September 2025
Authors: Antxon Arrizabalaga
SiC Half-Bridge Modules to Improve Efficiency and Reduce Area
of High-Power Motor Drives in Space
Antxon Arrizabalaga1,a*
1European Space Agency (ESA), Netherlands
aantxon.arrizabalaga@esa.int
Keywords: Space, high-power motor drive, SiC, high-power module, area reduction.
For the Si, and even if the manufacturer only provides the Qrr data for the maximum current, the reverse recovery charge increases with the forward current, If, of the diode [12].
For this loss model, the Qrr is considered to increase with the square root of If in the diode, until the data provided by the manufacturer is reached.
The main technical characteristics to populate the analytical model are shown in Table 2, obtaining the data from the manufacturers datasheets, and considering the capacity characteristics constant at the operation voltage.
For the Si, and even if the manufacturer only provides the Qrr data for the maximum current, the reverse recovery charge increases with the forward current, If, of the diode [12].
For this loss model, the Qrr is considered to increase with the square root of If in the diode, until the data provided by the manufacturer is reached.
The main technical characteristics to populate the analytical model are shown in Table 2, obtaining the data from the manufacturers datasheets, and considering the capacity characteristics constant at the operation voltage.
Online since: September 2014
Authors: Shu Min Nie, Feng Ren
The risk tracking management of deep foundation pit engineering chiefly covers the field observations and monitoring of the identified risks and sudden risks, dynamic management of monitoring data and record and inquiry of risk occurrence status.
When abnormal phenomena and data occur and close to the alarm state, the frequency of monitoring should be improved and even continuous monitoring can be conducted.
The monitoring data of deep foundation pit engineering should be timely analyzed and processed and submitted relevant parties.
The analysis of monitoring data should be conducted in combination with the monitoring data of relevant items, natural environmental conditions, construction conditions and the past data and make prediction on its development trend.
In term of the risk analysis of deep foundation pit engineering, China has a late start, and the analysis methods that are purely established on the statistical data are not feasible currently.
When abnormal phenomena and data occur and close to the alarm state, the frequency of monitoring should be improved and even continuous monitoring can be conducted.
The monitoring data of deep foundation pit engineering should be timely analyzed and processed and submitted relevant parties.
The analysis of monitoring data should be conducted in combination with the monitoring data of relevant items, natural environmental conditions, construction conditions and the past data and make prediction on its development trend.
In term of the risk analysis of deep foundation pit engineering, China has a late start, and the analysis methods that are purely established on the statistical data are not feasible currently.
Online since: October 2014
Authors: Xian Lin Zeng, Tao Zou, Jian Hua Peng
The composition of radar systems include: the main shock source, timer, frequency synthesizer, the main shock function transmitter amplification chain, receive/send switch radar antennas, receivers, digital signal processors, digital data processor , radar terminal display antenna servo system.
Testing hardware is a carrier which can adjust nearly 20 important parameters for navigation radar and collect data.
(5) Select ISA bus control interface as bus forms, which supports IEEE4882standard in WINDOWS-NT system, to achieve the “signal generation and processing unit” in the GPIB instrument remote control and data transfer.
It can greatly improve the test function under the condition of a significant reduction in hardware.
Storage and print the data in necessary then end the detection process.
Testing hardware is a carrier which can adjust nearly 20 important parameters for navigation radar and collect data.
(5) Select ISA bus control interface as bus forms, which supports IEEE4882standard in WINDOWS-NT system, to achieve the “signal generation and processing unit” in the GPIB instrument remote control and data transfer.
It can greatly improve the test function under the condition of a significant reduction in hardware.
Storage and print the data in necessary then end the detection process.
Online since: March 2014
Authors: Xiao Lei Li, Jian He, Hui Ming Ji, Qing Pu Wang
N2 adsorption-desorption data were obtained from NOVA 2200e Quantachrome Instruments at 77 K prior to the N2 physisorption when the samples were degassed at 150 °C for 12 h under vacuum.
The pore size distribution and volumes were calculated from the data of the desorption branch of isotherms by Barrett-Joyner-Halenda (BJH) method.
The data of BET surface area, BJH average pore size and pore volume of silica/zirconia aerogels aged in different pH solution are showed in table 1.
Compared with the data of aerogels aged in acid solution, we can get the results that the specific surface area is higher than in neutral solution.
From the data of aerogels aged in alkalene solution, we can clearly find that the specific surface and pore volume are higher than that in neutral solution.
The pore size distribution and volumes were calculated from the data of the desorption branch of isotherms by Barrett-Joyner-Halenda (BJH) method.
The data of BET surface area, BJH average pore size and pore volume of silica/zirconia aerogels aged in different pH solution are showed in table 1.
Compared with the data of aerogels aged in acid solution, we can get the results that the specific surface area is higher than in neutral solution.
From the data of aerogels aged in alkalene solution, we can clearly find that the specific surface and pore volume are higher than that in neutral solution.
Online since: June 2015
Authors: Martin Jurkovič, Andrej David
Object of simulation:
· visualisation of the objects in the vicinity of the vessel on the radar screen, which are visible from the vessel during navigation,
· active start-up of the radar, setting, tuning and amplification of the radar picture focusing on the reflections from the objects/targets,
· adjustability of the radar range to the corresponding visualisation on the radar screen,
· active functionality of VRM, EBL, navigation line with corresponding visualisation of indicated data on the radar screen,
· active functionality of switching between the display orientation N ↔ course with the corresponding visualisation on the radar screen and the axis of the vessel,
· active visualisation of indicated data by the appended nautical instruments,
· visualisation of the objects without reflectors, with reflectors and all vessels,
· visualisation of disturbing effects misrepresenting the radar visualisation of the inland waterways and its removal/reduction,
· active indication of
x x Visualisation of indicated data from the nautical devices (AIS, Lot) x Radar visualisation on the base of ENC x Source: Authors I-ECDIS Type of display device for ENC: · approved type of PC for on-board operation on inland waterways, · approved software for visualisation of ENC maps, · ENC with database of difficult river sections in standardized format of I-ECDIS.
Object of simulation: · commissioning and download updated database of dynamic data, · display of selected river sections of navigation on the ENC in I-ECDIS format, · interim position of the vessel on the map scanned from the AIS device, · dynamic change of depth depending on the inserted height of the water level according to the particular watermark, · route planning of the vessel, · records itinerary of the vessel – navigation history.
Composition of device: · functional maquette of the device; receiving – transmitting data; output of the relevant position point, course, speed of the vessel, connection to the radar and PC with ENC.
Object of simulation: · commissioning and entering the basic data of the vessel, · ability to view other vessels on the screen with relevant data through the device/program menu, · call and retrieve data of the water level and NtS messages, · receiving and sending urgent messages.
x x Visualisation of indicated data from the nautical devices (AIS, Lot) x Radar visualisation on the base of ENC x Source: Authors I-ECDIS Type of display device for ENC: · approved type of PC for on-board operation on inland waterways, · approved software for visualisation of ENC maps, · ENC with database of difficult river sections in standardized format of I-ECDIS.
Object of simulation: · commissioning and download updated database of dynamic data, · display of selected river sections of navigation on the ENC in I-ECDIS format, · interim position of the vessel on the map scanned from the AIS device, · dynamic change of depth depending on the inserted height of the water level according to the particular watermark, · route planning of the vessel, · records itinerary of the vessel – navigation history.
Composition of device: · functional maquette of the device; receiving – transmitting data; output of the relevant position point, course, speed of the vessel, connection to the radar and PC with ENC.
Object of simulation: · commissioning and entering the basic data of the vessel, · ability to view other vessels on the screen with relevant data through the device/program menu, · call and retrieve data of the water level and NtS messages, · receiving and sending urgent messages.