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Online since: January 2014
Authors: Wawan Aries Widodo, Randi Purnama Putra
Data from pressure was read by the data acquisition of tranduser DAQPRO Omega-5300.
Results and discussion In this section, experimental results would be displayed in the form of data graph and explanations.
Analysis of Pressure Drop Pressure drop was obtained from the data of the pressure difference between pressure tap inlet and pressure tap outlet in the test section.
Retrieval of experimental data on the pressure drop was done in a narrow channel that having a square cross-section with a hydraulic diameter of 125 mm, in this case it used a narrow channel that was open circuit sub sonic wind tunnel configuration was described in the research methodology. 3.1.1.
In the single-cylinder experiments, the value of the pressure coefficient distributions derived from a reading of the two pressure taps were placed on the contour angle 0º and 180º with change data capture every angle of 5º.
Results and discussion In this section, experimental results would be displayed in the form of data graph and explanations.
Analysis of Pressure Drop Pressure drop was obtained from the data of the pressure difference between pressure tap inlet and pressure tap outlet in the test section.
Retrieval of experimental data on the pressure drop was done in a narrow channel that having a square cross-section with a hydraulic diameter of 125 mm, in this case it used a narrow channel that was open circuit sub sonic wind tunnel configuration was described in the research methodology. 3.1.1.
In the single-cylinder experiments, the value of the pressure coefficient distributions derived from a reading of the two pressure taps were placed on the contour angle 0º and 180º with change data capture every angle of 5º.
Online since: November 2012
Authors: Qiao Yi Wang, Yao Zhu, Yong Zhao
A few formulae, commonly used to predict the coefficient of friction from forward slip measurements of a rolling process, have been evaluated according to forward slip measurements and coefficient of friction data.
At the same time, the contact arc increase due to the large reduction and the roll flattening.
It is this variation that poses severe difficulties for researchers to secure reproducible forward slip data and that perhaps well explains the scatter found in many forward slip measurements.
Fig.2 Neutral point to contact arc Fig. 3 (a) Reduction vs. forward slip vs.
It is believed that this variation poses severe difficulties for researchers to secure reproducible forward slip data.
At the same time, the contact arc increase due to the large reduction and the roll flattening.
It is this variation that poses severe difficulties for researchers to secure reproducible forward slip data and that perhaps well explains the scatter found in many forward slip measurements.
Fig.2 Neutral point to contact arc Fig. 3 (a) Reduction vs. forward slip vs.
It is believed that this variation poses severe difficulties for researchers to secure reproducible forward slip data.
Online since: July 2022
Authors: Werner Homberg, Frank Walther, Lukas Kersting, Bahman Arian, Julian Rozo Vasquez, Ansgar Trächtler
In preliminary tests, an average data rate of 18 measurements per second was determined with above named setup.
(5) The characteristic curve is parameterized with experimental data presented in [15].
Outside this range of f, Δr and w, the experimental data is extrapolated.
The equation is parameterized with experimental data presented in [15].
The data results from the same experiments as used for Eq. 5 in this paper.
(5) The characteristic curve is parameterized with experimental data presented in [15].
Outside this range of f, Δr and w, the experimental data is extrapolated.
The equation is parameterized with experimental data presented in [15].
The data results from the same experiments as used for Eq. 5 in this paper.
Online since: September 2011
Authors: Hong Wei Guan, Yuan Li, Ying Dao Li, Shuo Li
A subspace which can represent the key feature of the ensemble of data by extracting the eigenfunctions from the data will be founded.
But the function can be estimated by the set of emulational data or experimental data.
Fig. 2 The set of data and the results of approximative calucation. 2.a Original sample data, 2.b Approximative funciton, 2.c Error between the original data and approximative results.
Kothare, Entropy of spatiotemporal data as a dynamic truncation indicator for model reduction applications, 2005 American Control Conference, (2005), p.3145-3150 [4] A.
Alonso, Proper orthogonal decomposition of direct numberical simulation data: Data reduction and observer construction.
But the function can be estimated by the set of emulational data or experimental data.
Fig. 2 The set of data and the results of approximative calucation. 2.a Original sample data, 2.b Approximative funciton, 2.c Error between the original data and approximative results.
Kothare, Entropy of spatiotemporal data as a dynamic truncation indicator for model reduction applications, 2005 American Control Conference, (2005), p.3145-3150 [4] A.
Alonso, Proper orthogonal decomposition of direct numberical simulation data: Data reduction and observer construction.
Online since: October 2013
Authors: Jia Qing Zhao, Yong Gang Zhang, Ming Yang Sun, Wei Jin Zhuang
Wide Area Distributed Data Acquisition Mode.
In each subsystem of a data acquisition area, data acquisition server is operated in the way of hot standby, operating data of other areas will not affect the operation and resource cost of this area [5].
Data Integration Technology.
FES server of region DAS is connected with data acquisition network of region DAS, which is used for data acquisition of region DAS and sent data to SCADA servers of region DAS, while FES server of county DAS is connected with data acquisition network of county DAS, which is used for data acquisition of county DAS and sent data to SCADA servers of county DAS.
Region DAS adopts subscribe method to get all county’s data by service bus, SCADA server of region DAS has the whole system’s data, thus realizing data share in the whole system.
In each subsystem of a data acquisition area, data acquisition server is operated in the way of hot standby, operating data of other areas will not affect the operation and resource cost of this area [5].
Data Integration Technology.
FES server of region DAS is connected with data acquisition network of region DAS, which is used for data acquisition of region DAS and sent data to SCADA servers of region DAS, while FES server of county DAS is connected with data acquisition network of county DAS, which is used for data acquisition of county DAS and sent data to SCADA servers of county DAS.
Region DAS adopts subscribe method to get all county’s data by service bus, SCADA server of region DAS has the whole system’s data, thus realizing data share in the whole system.
Online since: February 2013
Authors: Zong Hai Sun, Osman Osman
Dimensionality reduction is the mapping of high-dimensional data into some representation of lower dimensionality.
We apply GPLVM method for dimensionality reduction on the data set which is in high-dimensional form, and then we evaluate the quality of the resulting low-dimensional data representation by comparing the results attained to those we got when using intrinsic dimensionality estimation techniques, and lastly compare the performances of GPLVM and PCA on the same data set.
The data set consists of 53 data points with a dimensionality of 87 features.
Now, our data set has been successfully downsized using the above illustrated dimensionality reduction techniques, the next step is to make use of this outcome for effective and fast clustering.
Fig. 3 shows the resulting data clusters.
We apply GPLVM method for dimensionality reduction on the data set which is in high-dimensional form, and then we evaluate the quality of the resulting low-dimensional data representation by comparing the results attained to those we got when using intrinsic dimensionality estimation techniques, and lastly compare the performances of GPLVM and PCA on the same data set.
The data set consists of 53 data points with a dimensionality of 87 features.
Now, our data set has been successfully downsized using the above illustrated dimensionality reduction techniques, the next step is to make use of this outcome for effective and fast clustering.
Fig. 3 shows the resulting data clusters.
Online since: April 2012
Authors: Hong Jing Zhang, Shuang Bo Dong, Zhe Kui Zheng
The experimental results indicated that the in-situ carbon dioxide generation technology could be used to produce enough carbon dioxide and get good efficiencies of oil expansion, reduction of viscosity and enhancement of oil displacement.
This can generate gas mixtures can be given preferential access to the high permeability layers in the formation of a chemical exothermic reaction of CO2, the expansion of crude oil viscosity reduction.
Table 1 Comparison of model oil and kerosene expansion of the experimental data Model oil (crude oil: kerosene) to increase pressure / MPa increase in volume / mL expansion /% 0:1 0.48 4 10 1:1 0.54 5 12.5 2:1 0.66 8 20 1:0 0.74 10 25 Note: for the NB35-2 crude oil heavy oil wells B1, 60 ℃ viscosity 2010mPa • s, the mass concentration of salt A solution of 20% added to the initial pressure of 10MPa.
Table 2 Experimental results of stick down reservoir conditions Temperature / ℃ oil viscosity mPa. • s oil viscosity reduction rate viscosity mPa • s Viscosity reduction rate Δη/% 60 2010 842.708 58.1 60 2010 1012.356 49.7 60 2010 968.48 51.8 CO2 and crude oil bubble.Early researchers agreed.
Ultra-heavy oil emulsion viscosity reduction technology Research [J].
This can generate gas mixtures can be given preferential access to the high permeability layers in the formation of a chemical exothermic reaction of CO2, the expansion of crude oil viscosity reduction.
Table 1 Comparison of model oil and kerosene expansion of the experimental data Model oil (crude oil: kerosene) to increase pressure / MPa increase in volume / mL expansion /% 0:1 0.48 4 10 1:1 0.54 5 12.5 2:1 0.66 8 20 1:0 0.74 10 25 Note: for the NB35-2 crude oil heavy oil wells B1, 60 ℃ viscosity 2010mPa • s, the mass concentration of salt A solution of 20% added to the initial pressure of 10MPa.
Table 2 Experimental results of stick down reservoir conditions Temperature / ℃ oil viscosity mPa. • s oil viscosity reduction rate viscosity mPa • s Viscosity reduction rate Δη/% 60 2010 842.708 58.1 60 2010 1012.356 49.7 60 2010 968.48 51.8 CO2 and crude oil bubble.Early researchers agreed.
Ultra-heavy oil emulsion viscosity reduction technology Research [J].
Online since: June 2014
Authors: Sri Ramya Bhamidipati, Lalit Patidar
A standard generic car body known as Ahmed body is taken to set up simulation parameters in FLUENT by validating a test case against the experimental data available in literature.
A substantial reduction in drag force of 18.8% is achieved which can be attributed to lower frontal area and streamlined bodyworks design.
In this paper a 3D CFD study is performed on Ahmed body to validate simulation parameters based on reported experimental data [1].
The percentage of reduction in the drag coefficient is calculated to be 11.5%.
This leads to a compact and lightweight battery module with a weight reduction of 6 kgs or 10%.
A substantial reduction in drag force of 18.8% is achieved which can be attributed to lower frontal area and streamlined bodyworks design.
In this paper a 3D CFD study is performed on Ahmed body to validate simulation parameters based on reported experimental data [1].
The percentage of reduction in the drag coefficient is calculated to be 11.5%.
This leads to a compact and lightweight battery module with a weight reduction of 6 kgs or 10%.
Online since: October 2010
Authors: San San Yu, Zhi Tong Sui, Wen Xiu Li, Zhi Ling Ji, Nian Xin Fu
The thermodynamic data of the compounds in the article are from the literature[11].
The required initial temperature of the reduction reaction can be decreased to avoid the unfavourable influence on the nitridation process.
So it is necessary to select appropriate additives for the reduction reaction.
The mechanism of the effects of additives on the carbothermal reduction nitriding to synthesize the vanadium nitride is still unclear.
Gokcen: Thermodynamic data for mineral technology, (Washington, DC: Bulletin 677, Bureau. of Mines, 1984) [12].
The required initial temperature of the reduction reaction can be decreased to avoid the unfavourable influence on the nitridation process.
So it is necessary to select appropriate additives for the reduction reaction.
The mechanism of the effects of additives on the carbothermal reduction nitriding to synthesize the vanadium nitride is still unclear.
Gokcen: Thermodynamic data for mineral technology, (Washington, DC: Bulletin 677, Bureau. of Mines, 1984) [12].
Online since: May 2015
Authors: Meilinda Nurbanasari
Chemical composition and hardness test results were carried out on surfaces that were not corroded and the data were used for material verification.
The measured hardness of the steel structure was 113 HV and this data met the hardness of AISI 1020.
The data in Table 2 shows that the average measured thickness reduction was 29.5 % and the highest thickness reduction was 44 %.
It must be noted that the data in Table 2 was taken from 30 spots areas (approximately 20 % from the total areas) and in some areas (10 %) where the thickness were not measured, the reduction in thickness has already reached 100 % as the material has been perforated.
Conclusions and Recommendation From the acquired data, the conclusions that can be drawn are: a) The supporting structure of coal conveyor was made of AISI 1020.
The measured hardness of the steel structure was 113 HV and this data met the hardness of AISI 1020.
The data in Table 2 shows that the average measured thickness reduction was 29.5 % and the highest thickness reduction was 44 %.
It must be noted that the data in Table 2 was taken from 30 spots areas (approximately 20 % from the total areas) and in some areas (10 %) where the thickness were not measured, the reduction in thickness has already reached 100 % as the material has been perforated.
Conclusions and Recommendation From the acquired data, the conclusions that can be drawn are: a) The supporting structure of coal conveyor was made of AISI 1020.