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Online since: July 2015
Authors: Norrulhuda Mohd Taib, Wan Zairani Wan Bakar, Arina Sauki, Mohd Haziafiz Abd Halim
Clay is the primary cause for resistivity reduction in most of the low resistivity pay cases.
The resistivity data must correct for the influence of these conductive minerals to decrease the calculated water saturation to extra reasonable ranks associated with water free hydrocarbon production [2].
The reasons of low resistivity pay’s occurrences can be described through the study of geological, petrophysical and reservoir engineering data.
Thus the reduction in resistivity would be larger in this type of formation.
The data in Table 2 shows that calcium oxide (CaO) is present in major quantities while other minerals are present in trace amount.
Online since: October 2013
Authors: Jiang Chang, Lu Meng, Qian Wang, Yu Niu
Finally, the historical data is archived in order to access it at all times.
On the basis of this platform, the underlying data source of line loss management system comes from SCADA system, OMS system, electric energy management system, substation reading system and electric energy data acquire system.
The line loss management system established data association through a standard interface design, in order to clean and transform the data, transfer it to the Enterprise Service Bus, and supply subsystem extraction, selection.
(7) Data Integration It completes the grid management model, system management, system maintenance, data query and other various functions.
During the operation, the condition is good and the data is accurate.
Online since: August 2012
Authors: Chun Ling Xin, Bao Rui Yan, Ya Dong He, Fen Dong
A slit die connected with gear pump and data Acquisition system designed by ourselves[8] were used to in-line measure the viscosity of polymer/CO2 solutions. 2.3 PPO/POE-g-MAH Blending assisting with SCCO2 PPO resins were premixed with 5,10,15wt% POE-g-MAH and a little amount of antioxidant.
A reduction of shear viscosity was observed by dissolving CO2 into the polymers.
So the reduction of viscosity by SCCO2 is not more obvious than that of PPO.
(a) PPO (b) POE-g-MAH Figure 1 Shear viscosity data of polymer/CO2 solutions at 275℃ 3.2 Morphology of PPO/POE-g-MAH blends Figure 2 showed the SEM photographs of PPO/POE-g-MAH (90/10) blends at various contents of CO2..
The coarsing of disperse phase sizes are responsible for the reduction of impact strength.
Online since: July 2014
Authors: Mohan M. Prasad, R.K. Suresh, K. Ganesan
A first design of VSM is realized according to the original data from production processes and the layout, identifying the key times of each workstation.
Table 1, VSM input data Customer Order 9085(per month) - Feb 2014 Demand 400 (per day) Working Hours Two Shifts 16 Hours(per day) Break One Hour (per Shift) The main processes are identified first.
The data box envelopes the following data like cycle time, change over time and number of operator.
The inventory triangle envelopes two data work in process between each process and respective inventory.
Future work This paper gives only a cycle time and inventory data of the pump industry.
Online since: September 2013
Authors: Xian Min Ma
Therefore data sets are usually given in the table form, and this data table is called an information system.
It completes with Data Aware Component.
Thus, it is more convenient to store and query patient data from database.
All the patients’ data are stored into the database.
In our project, we get curve from the Teechart control to analyze patients’ testing data.
Online since: March 2007
Authors: Xiao Zhi Hu, Kai Duan
Literature data for single-crystal silicon beam specimens covering a range of widths from mm to nm are analyzed using this method.
The general approach is to plot the data from a series of strength tests for a given specimen geometry on Weibull diagrams, and then, to note a strength shift towards high values as the specimen dimensions diminish toward the microscale and nanoscale.
Furthermore, strength data measured on single crystal silicon specimens with sizes ranged from nm to mm are analyzed using this method.
Analysis of Flaw Distribution in Single-Crystal Silicon MEMS Specimens The strength data on single crystal silicon reported by Namazu et al [2] are chosen in this study for analysis to demonstrate the flaw evaluation method outlined in the previous section.
The method is used to analyse a comprehensive set of strength data on single crystal silicon [2].
Online since: May 2021
Authors: Eduard S. Klimov, Oleksandr H. Kurpe, Volodymyr V. Kukhar
The obtained deviations of the rolling force between simulation, analytical modeling and actual data have comparable results and a similar trend of changes through the passes, the average value of which does not exceed 1.54 % and - 1.77 %.
Therefore, obtaining data on the occurrence of such a phase in the metal allows to improve processes of the design, development and improvement of the technology in relation to characteristics of a particular condition and the material being processed.
On the basis of comparative calculations it has been established that the obtained deviations of the rolling force between the two methods of calculation and the actual data have comparable results and a similar trend of changes in the passes, Fig. 4.
Rolling mill Pass H, [mm] 1 h, [mm] 2 Reduction, [%] Factual data Calculation in the analytical model Calculation in Abaqus CAE Deviation of calculations of rolling force, % t, [оС] 3 Rolling force, [MN×100] t, [оС] 3 Rolling force, [MN×100] Rolling force, [MN×100] Abaqus from the fact Analytical from the fact Two-high rolling mill 3170 1 221.3 200.49 9.40 1090 1007 1200 867.78 923.42 8.30 13.83 2 200.49 178.82 10.81 1068 904 1194 946.42 970.29 -7.33 -4.69 3 178.82 158.36 11.44 1068 1000 1187 965.31 963.11 3.69 3.47 4 158.36 139.55 11.88 1044 1017 1179 970.42 943.00 7.28 4.58 5 139.55 120.54 13.62 1073 1015 1169 1060.42 1011.41 0.35 -4.47 6 120.54 103.88 13.82 1023 1077 1158 1048.15 981.68 8.85 2.68 7 103.88 87.23 16.03 1055 1121 1144 1163.62 1088.26 2.92 -3.80 8 87.23 71.81 17.68 1009 1243 1127 1243.94 1174.54 5.51 -0.08 9 71.81 57.87 19.41 1027 1254 1105 1341.91 1291.21 -2.97 -7.01 10 57.87 46.82 19.09 1027 1246 1076 1350.15 1288.40 -3.40 -8.36 11 46.82 37.16 20.63 1041 1397 1037 1532.49
The comparison of power parameters obtained by the FEM and calculated by the analytical method with the actual data on the results of coils rolling with dimensions of 15 mm × 1500 mm made of structural steel grade S355JR+AR at the Steckel mill has been performed.
Online since: November 2012
Authors: Andrew S. Ross, Ayman M. El Ansary, Ashraf El Damatty
The test data was recorded using an HFFB with a 1:400 scale rigid lightweight foam model mounted on it.
Each test lasted 250 seconds (approximately 4 hours in full-scale) and data were sampled at a rate of 116 hertz.
Applying the site-specific meteorological wind climate model to the test data gives base moments that are used for calculating the GWF.
Three TLD systems with varying water mass are designed and evaluated using data from HFFB tests conducted at the BLWTL at Western University.
“A New Force Balance Data Analysis Method for Wind Response Predictions of Tall Buildings.”
Online since: June 2011
Authors: Hai Liang Yu, Xianghua Liu
Reduction of cracks is important for the improvement of slab quality.
The heat treatment method was also employed to restore the plasticity margin destroyed in cold plastic deformation and to avoid damage by Kolmogorov et al [13], and experimental data indicated that the micro-damages in metal materials heal.
(1) where, is the shear strength, is the reduction ratio.
When the reduction ratio reaches 20~30%, as the reduction ratio further increases, the size and the number of dimple fracture zones increase (Fig. 7 (c) and (d)).
When the reduction ratio is less than 10%, the shear strength of crack healing zone increases linearly direct to the reduction ratio, and as the reduction ratio further increases, the amplification of shear strength of crack healing zone gradually decreases
Online since: December 2010
Authors: Bo Chen, Jin Zheng, Jian Feng Wei
The refined exponential model for estimating corrosion of steel materials is presented based on long-term experimental data available.
A represents the corrosion depth of the material in the first year and it can be estimated based on commonly available meteorological and pollution data [4] (2) Where the coefficients C1 and C2 are the constants depending on the type of metal only, and N is the environmental index expressed as (3) In which f1, f2 and f3 are termed the humidity coefficient, air contamination coefficient, and rain acidity coefficient, respectively.
(7) By applying the regressive analysis to the test data collected from the national experimental network in China, the environmental index N and the corrosion development trend n in Eq (7) have been estimated for seven exampled cities, and the constants C1 and C2 have also been provided for different types of metal materials.
The reduction of thickness of each member of the structure can then be calculated and input to compute the actual stiffness of the structural members.
The change in a natural frequency is negative mainly because the relative extent of the stiffness reduction effects is larger than those of mass reduction effects.
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