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Online since: March 2014
Authors: Milan Brandt, Martin Leary, Shou Jin Sun, Qian Chu Liu, Joe Elambasseril, Peter Khan Sharp
However, this requires a considerable amount of test data to be generated on the material’s mechanical properties.
The reduction in fatigue life appeared to be affected by the location, size and shape of the LOF defect.
Selective Laser Melting (SLM) is an AM process which selectively melts a powder in a layer-by-layer fashion to form a near-net shape part based on a CAD data file [1,2].
Compared with the fatigue data from the casting parts, cast plus HIP and wrought annealed Ti-6Al-4V, the fatigue life of the SLM Ti64 specimens was better than that of the cast parts and at least equivalent to that of the cast specimens treated by HIP.
Additionally, to meet the Metallic Materials Properties Development and Standardization (MMPDS) a considerable body of data needs to be generated on the mechanical properties of these materials and processes.
The reduction in fatigue life appeared to be affected by the location, size and shape of the LOF defect.
Selective Laser Melting (SLM) is an AM process which selectively melts a powder in a layer-by-layer fashion to form a near-net shape part based on a CAD data file [1,2].
Compared with the fatigue data from the casting parts, cast plus HIP and wrought annealed Ti-6Al-4V, the fatigue life of the SLM Ti64 specimens was better than that of the cast parts and at least equivalent to that of the cast specimens treated by HIP.
Additionally, to meet the Metallic Materials Properties Development and Standardization (MMPDS) a considerable body of data needs to be generated on the mechanical properties of these materials and processes.
Online since: March 2014
Authors: R.K. Ganesh Ram, R. Karthikeyan, V. Kalaichelvi
True stress-strain data is obtained for 6061Al/ 10% SiC composites by hot compression test.
The vast amount of hot deformation data have revealed that the constitutive behaviour is very sensitive to the initial conditions including alloy chemistry, initial microstructure and thermo-mechanical processing history.
Development of optimal design and control methods for hot deformation processes is needed for effectively reducing the part cost, reduction in size, improving part delivery schedules and producing specified part quality on a repeatable basis.
The load-displacement data was used to determine true strain and true stress.
The vast amount of hot deformation data have revealed that the constitutive behaviour is very sensitive to the initial conditions including alloy chemistry, initial microstructure and thermo-mechanical processing history.
Development of optimal design and control methods for hot deformation processes is needed for effectively reducing the part cost, reduction in size, improving part delivery schedules and producing specified part quality on a repeatable basis.
The load-displacement data was used to determine true strain and true stress.
Online since: September 2013
Authors: Ji Ming Kong, Hong Zhi Qiu, Yin Zhang
A practical engineering was studied here. analysis of the monitoring data and compared with the numerical results, the analysis showed that the experimental results and numerical results are in good agreement, and the numerical method can be used as an effective means of research.
Finally, combined with an example, analyzed the monitoring data of the project and compared with the numerical results.
Fig.2.4 Radian frequency 32.21rad/s Fig.2.5 Radian frequency 21.47rad/s Fig.2.6 Radian frequency 10.74rad/s Analysis of engineering Example Analysis of monitoring data In process of the excavation of foundation pit, monitoring inner force and displacement of supporting structure.
All above analysis results proved that the numerical simulation is consistent with the monitoring data analysis, and the numerical simulation results can be used to estimate the law of the lateral displacement of pile in foundation construction process.
Mainly engaged in the study of the theory of mountain hazards and disaster reduction technology.
Finally, combined with an example, analyzed the monitoring data of the project and compared with the numerical results.
Fig.2.4 Radian frequency 32.21rad/s Fig.2.5 Radian frequency 21.47rad/s Fig.2.6 Radian frequency 10.74rad/s Analysis of engineering Example Analysis of monitoring data In process of the excavation of foundation pit, monitoring inner force and displacement of supporting structure.
All above analysis results proved that the numerical simulation is consistent with the monitoring data analysis, and the numerical simulation results can be used to estimate the law of the lateral displacement of pile in foundation construction process.
Mainly engaged in the study of the theory of mountain hazards and disaster reduction technology.
Online since: January 2015
Authors: Nikolay Arefiev, Olga Nikonova, Nikolay Badenko, Timofey Ivanov, Vyacheslav Oleshko, Sofiya Kotlyar
The NHD (National Hydrography Dataset) [21] was used as hydrography data, SRTM [22] was used to obtain elevations inside a study area and the hydrological data such as annual mean stream reaches flow rates was derived from gauge stations and precipitation data (using regional equations).
Remote sensing data was used for interpreting vegetation and surface data.
ASTER GDEM v2 [27] was used as elevation data source.
B Brief Overview of Methodology, Initial Data and Data Sources Used in Several Hydropower Potential Studies Tab. 1-4 represent initial data, data sources, criteria and equations used in described above studies.
Data sources for gross hydropower potential estimation Initial data Usage Saint-Lucia and Dominica USA Norway Russia Digital elevation model Obtaining synthetic river network, delineating watersheds, calculating hydraulic head on each stream reach ASTER GDEM v2 SRTM, EDNA SRTM SRTM or digital maps with 1:100000 scale Synthetic streams network All GIS calculations are performed on synthetic streams basis Derived from DEM by authors NHD ELVIS Derived from DEM by authors Precipitation data Obtaining rivers flow rates and other hydrological data Gauge stations and weather stations data Gauge stations and weather stations data Gauge stations and weather stations data The Map of flow rate distribution Surface and vegetation data Obtaining rivers flow rates and other hydrological data Spectral analysis of IKONOS satellite images Not taken into account Not taken into account Not taken into account Soil data Obtaining rivers flow rates and other hydrological data CEHI [31] Not taken
Remote sensing data was used for interpreting vegetation and surface data.
ASTER GDEM v2 [27] was used as elevation data source.
B Brief Overview of Methodology, Initial Data and Data Sources Used in Several Hydropower Potential Studies Tab. 1-4 represent initial data, data sources, criteria and equations used in described above studies.
Data sources for gross hydropower potential estimation Initial data Usage Saint-Lucia and Dominica USA Norway Russia Digital elevation model Obtaining synthetic river network, delineating watersheds, calculating hydraulic head on each stream reach ASTER GDEM v2 SRTM, EDNA SRTM SRTM or digital maps with 1:100000 scale Synthetic streams network All GIS calculations are performed on synthetic streams basis Derived from DEM by authors NHD ELVIS Derived from DEM by authors Precipitation data Obtaining rivers flow rates and other hydrological data Gauge stations and weather stations data Gauge stations and weather stations data Gauge stations and weather stations data The Map of flow rate distribution Surface and vegetation data Obtaining rivers flow rates and other hydrological data Spectral analysis of IKONOS satellite images Not taken into account Not taken into account Not taken into account Soil data Obtaining rivers flow rates and other hydrological data CEHI [31] Not taken
Online since: August 2013
Authors: Tian Tian, Yu Tao, Xu Min Zhao, Li Na Zeng
The hardware is composed of AC constant current source, reference signal source, low noise amplifier, data acquisition card, computer etc.; The software consists of man-machine interface program, measure and control program and data processing program.
The concept of virtual instrumentation is first proposed by the United States National Instruments (NI), same as traditional instruments, it can be divided into data acquisition, data analysis and processing, and display the results of the three major functional blocks.
Data acquisition card.
Final the waveform data is given in the form of clusters,including the start time t0, the sampling interval dt and array constituted by sampled data.
The data of processing and calculation is displayed through the display section.
The concept of virtual instrumentation is first proposed by the United States National Instruments (NI), same as traditional instruments, it can be divided into data acquisition, data analysis and processing, and display the results of the three major functional blocks.
Data acquisition card.
Final the waveform data is given in the form of clusters,including the start time t0, the sampling interval dt and array constituted by sampled data.
The data of processing and calculation is displayed through the display section.
Online since: February 2012
Authors: Wen Wu, Dong Sheng Wang
Highly stable distributed silver nanoparticles have been prepared using these semi-IPN hydrogels as a carrier via in situ reduction of silver nitrate without the addition of any reducing agent.
It is clear that four diffraction peaks at 2θ of 37.8°, 43.4°, 66.6°, and 77.0° correspond to Bragg’s reflections from (111), (200), (220) and (311) crystal planes of Ag, which is in good agreement with the reported data [8,9], showing the existence of Ag in the Dex-SS/Ag nanocomposite hydrogels.
It is clear that four diffraction peaks at 2θ of 37.8°, 43.4°, 66.6°, and 77.0° correspond to Bragg’s reflections from (111), (200), (220) and (311) crystal planes of Ag, which is in good agreement with the reported data [8,9], showing the existence of Ag in the Dex-SS/Ag nanocomposite hydrogels.
Online since: December 2014
Authors: Yong Sheng Ye, Wan Hua Cai, Bai Liang Zhuang, Zhong De Shan
The coefficients used to provide a fit to the data were as follows: a = 1534.98, b = –0.3236, c = –109.54, d = –7.789×10–4, and f = 0.1357.
This is in good agreement with the simulated data described in the previous section.
Based on the numerical data reported in Ref. [16], the stamping speed should be at least 30 mm/s.
Digital–analog comparisons were made between the sets of simulated and experimental data for the anti-collision beam.
The forming force model was optimized using parameterized experimental data.
This is in good agreement with the simulated data described in the previous section.
Based on the numerical data reported in Ref. [16], the stamping speed should be at least 30 mm/s.
Digital–analog comparisons were made between the sets of simulated and experimental data for the anti-collision beam.
The forming force model was optimized using parameterized experimental data.
Online since: June 2014
Authors: Vladislav Petrovich Oboskalov, Sergey Aleksandrovich Gusev, Irina Lvovna Kirpikova, Stanislava Matugova
Gusev1,d
1Ural Federal University, 620002, Russia, Yekaterinburg, Mira, 19
av.p.oboskalov@urfu.ru, bi.l.kirpikova@urfu.ru, cstanka.matuga@gmail.com, dsergeyalexgusev@gmail.com
Keywords:Power system reliability, adequacy, Monte-Carlo simulation, power pool, supplied demand technique, stochastic network reduction.
The structure of the initial data for BR calculations is presented in its reduced form in the description of Melentiev Energy Systems Institute test system [5].
Typically, initial data for BR problem is as follows:power pool topology, unit set and nodal load characteristics, tie line set and capacity probabilistic characteristics, power pool key element specifications and overhaul schedules, equipment commissioning and decommissioning plans.
The structure of the initial data for BR calculations is presented in its reduced form in the description of Melentiev Energy Systems Institute test system [5].
Typically, initial data for BR problem is as follows:power pool topology, unit set and nodal load characteristics, tie line set and capacity probabilistic characteristics, power pool key element specifications and overhaul schedules, equipment commissioning and decommissioning plans.