Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: March 2023
Authors: Williams Joseph Ajuwaeze, Roland Tolulope Loto, Philip Babalola, Joshua Okeniyi
Results and Discussion
Weight loss analysis
The evaluation of the weight loss data presented in Table 1 shows that specimen S1 has a slightly different weight loss profile than the other specimens, starting the trial at 0.0480 g in the first 24 hours.
The data presented in Table 2 showed specimen S1 having a steady increase in weight loss with respect to time.
Table 3 shows the weight loss data of the samples in 3.5 % NaCl/0.00625 M H2SO4 and indicates that specimen S1 shows a somewhat different weight loss characteristic than other specimens starting the experiment at a value of 0.0480 g in the first 24 h. this value increased 24 h later to 0.0640 g, but reduced to 0.0610 g at 72 h.
The data presented in Table 5 showed the various corrosion rates of the specimens in 0.00625M H2SO4 solution.
The data presented in Table 6 showed the various corrosion rates of the specimens in NaCl/H2SO4 solution with respect to exposure time (h).
The data presented in Table 2 showed specimen S1 having a steady increase in weight loss with respect to time.
Table 3 shows the weight loss data of the samples in 3.5 % NaCl/0.00625 M H2SO4 and indicates that specimen S1 shows a somewhat different weight loss characteristic than other specimens starting the experiment at a value of 0.0480 g in the first 24 h. this value increased 24 h later to 0.0640 g, but reduced to 0.0610 g at 72 h.
The data presented in Table 5 showed the various corrosion rates of the specimens in 0.00625M H2SO4 solution.
The data presented in Table 6 showed the various corrosion rates of the specimens in NaCl/H2SO4 solution with respect to exposure time (h).
Online since: June 2013
Authors: Jean Savoie, Javad Gholipour, Mehdi Saboori, Henri Champliaud, Augustin Gakwaya, Priti Wanjara
Therefore, material data for THF would benefit from being extracted from tubular samples tested under a biaxial state of stress.
From Fig.1 it can be seen that all the constitutive laws fit the experimental data well, except Hollomon.
The experimental data collected during the tests were used in the FEM.
The expansion and thickness reduction at the bulge height were extracted from the model and compared to the experimental data.
Figure 6 compares the predicted longitudinal strain to the experimental data.
From Fig.1 it can be seen that all the constitutive laws fit the experimental data well, except Hollomon.
The experimental data collected during the tests were used in the FEM.
The expansion and thickness reduction at the bulge height were extracted from the model and compared to the experimental data.
Figure 6 compares the predicted longitudinal strain to the experimental data.
Online since: December 2010
Authors: Bert Verlinden, Hugo Ricardo Zschommler Sandim, Marc Seefeldt, Liang Zhu
However, this technique mainly offers quantitative data without any image visualizing grain fragmentation and GBAZ formation.
Grain 1 starts to exhibit a color contrast after 2.5% of height reduction.
(f) an EBSD image and Image Quality scan of grain 3 at 30% of reduction.
The orientation data of this region was plotted in a (101) pole figure as shown in Fig.3(b).
Black dots represent the orientation cluster after 11.5% of reduction.
Grain 1 starts to exhibit a color contrast after 2.5% of height reduction.
(f) an EBSD image and Image Quality scan of grain 3 at 30% of reduction.
The orientation data of this region was plotted in a (101) pole figure as shown in Fig.3(b).
Black dots represent the orientation cluster after 11.5% of reduction.
Online since: June 2014
Authors: T.A.T. Mohd, A. Azizi, Nurul Aimi Ghazali, N. Alias, M.Z. Shahruddin, E. Yahya, A.Y. Fazil
A base case model is developed from the production data of an actual oil field to simulate the performance of the actual well without gas lift system.
However, injecting too much gas could possibly result in reduction of production rate (Blann and Williams, 1984).
Once the well system model has been tuned to the real field data, different scenario can be modeled to make further predictions of well performance.
Well test data was utilized to develop a base model with the inflow and outflow performance curve matched with the well performance.
With further increment of gas injection rate, a small reduction of oil rate was observed.
However, injecting too much gas could possibly result in reduction of production rate (Blann and Williams, 1984).
Once the well system model has been tuned to the real field data, different scenario can be modeled to make further predictions of well performance.
Well test data was utilized to develop a base model with the inflow and outflow performance curve matched with the well performance.
With further increment of gas injection rate, a small reduction of oil rate was observed.
Online since: December 2014
Authors: Rui Peng, Min Xing Yang, Xiao Fen Li
Current industrial carbon emissions studies are usually using some converted macro area statistics data, however, this kind of large scale carbon emissions calculation applied to regional scale can cause error.
Data Source and methods The relevant data is supplied by the “Shenzhen Statistical Yearbook 2012” and the enterprise data from the Economy Science Department of Pingdi sub-district office.
Since lacking of the directly data of monitor, most of the current measure research are based on the estimation of energy consumption.
Since there is no directly monitoring data, most of domestic research takes on the estimation of indirect conversion in China now.
Limited by the relatively more parameters and less statistical energy data of the second method, we applied the third method.
Data Source and methods The relevant data is supplied by the “Shenzhen Statistical Yearbook 2012” and the enterprise data from the Economy Science Department of Pingdi sub-district office.
Since lacking of the directly data of monitor, most of the current measure research are based on the estimation of energy consumption.
Since there is no directly monitoring data, most of domestic research takes on the estimation of indirect conversion in China now.
Limited by the relatively more parameters and less statistical energy data of the second method, we applied the third method.
Online since: December 2012
Authors: Lei Wang, Ming Hua Jin, Hua Min Liu
Radial forging of tubes without mandrel and hollow-axle has been simulated and the results showed a good agreement with the published experimental data[3,4].
Roll-forging for the round sectional billet was completed in the first pass, and the effect of the reduction on the width-extension and elongation is shown in Fig.4(a).
It is seen that the width-extension nearly linearly increases, and the elongation slowly increases with the increase of the reduction.
Roll-forging for the oval sectional billet was completed in the second pass, and the effect of the reduction on the width-extension and elongation is shown in Fig.4(b).The width-extension slowly increases with the increase of the reduction, and it suddenly increases when the reduction comes up to 10.5 mm;.The elongation slowly increases with the increase of the reduction, and it suddenly increases when the reduction comes up to 8.7 mm;.
In the first pass, the width-extension nearly linearly increases, and the elongation slowly increases with the increase of the reduction; In the second pass, at the beginning, the elongation and the width-extension slowly increase, and then suddenly increase with the increase of the reduction.
Roll-forging for the round sectional billet was completed in the first pass, and the effect of the reduction on the width-extension and elongation is shown in Fig.4(a).
It is seen that the width-extension nearly linearly increases, and the elongation slowly increases with the increase of the reduction.
Roll-forging for the oval sectional billet was completed in the second pass, and the effect of the reduction on the width-extension and elongation is shown in Fig.4(b).The width-extension slowly increases with the increase of the reduction, and it suddenly increases when the reduction comes up to 10.5 mm;.The elongation slowly increases with the increase of the reduction, and it suddenly increases when the reduction comes up to 8.7 mm;.
In the first pass, the width-extension nearly linearly increases, and the elongation slowly increases with the increase of the reduction; In the second pass, at the beginning, the elongation and the width-extension slowly increase, and then suddenly increase with the increase of the reduction.
Online since: August 2013
Authors: Xu Chang, Shan Shan Pei, Na Su
Fig.1 Real-time network forensics model based on Data Mining
Data mining is mining useful information or knowledge from the data.
Generally, the raw data has characteristics of massive, incomplete, noisy, fuzzy and random data.
Implementation of data mining generally includes problem definition, data acquisition, data preprocessing, data mining, implementation and evaluation of the effectiveness of the data mining steps in this.The second step is to obtain data and preprocess.
In order to simulate the experimental convenience, we take 10% of the data set of 10,000 training data set to pass data dimensionality reduction, training, generating rules.
So that the proportion of normal data are 99%, According with normal network data features.
Generally, the raw data has characteristics of massive, incomplete, noisy, fuzzy and random data.
Implementation of data mining generally includes problem definition, data acquisition, data preprocessing, data mining, implementation and evaluation of the effectiveness of the data mining steps in this.The second step is to obtain data and preprocess.
In order to simulate the experimental convenience, we take 10% of the data set of 10,000 training data set to pass data dimensionality reduction, training, generating rules.
So that the proportion of normal data are 99%, According with normal network data features.
Online since: December 2025
Authors: Alsu Anisovna Kadyrgulova
It explores the role of digital tools and real-time data management systems in supporting data-driven decision-making and operational control.
Among the most impactful technologies are data analytics and machine learning (ML), which allow companies to process large volumes of data across production, geological, and financial domains.
This data is locally processed before being transmitted to the cloud for advanced analysis.
All reporting data are compiled automatically and securely by the system, which minimizes the risk of manual errors or data manipulation.
Digital Twin-Driven Product Design, Manufacturing and Service with Big Data.
Among the most impactful technologies are data analytics and machine learning (ML), which allow companies to process large volumes of data across production, geological, and financial domains.
This data is locally processed before being transmitted to the cloud for advanced analysis.
All reporting data are compiled automatically and securely by the system, which minimizes the risk of manual errors or data manipulation.
Digital Twin-Driven Product Design, Manufacturing and Service with Big Data.
Online since: January 2012
Authors: Wen Nian Xu, Gang Liu, Qiong Zhang, Shi Qing Zheng
In the meantime, there have been fewer studies on sediment-reduction mechanism on the earth road.
As a result, it would show that the sediment-reduction mechanism of herbaceous plants on the earth road thus laying down a foundation for setting up sediment-reduction models for plant-growing road.
The experimental parameters Hydrodynamic characters of runoff in the different surface sections of the earth roads with the different coverage degrees C(%) Fr Re ε/cm f n (×10-2) 0 2.46 74.16 0.16 0.38 1.91 30 2.05 65.39 0.14 0.52 2.24 40 1.72 64.96 0.12 0.74 2.71 50 1.65 58.13 0.11 0.79 2.79 60 1.55 53.65 0.10 0.91 2.99 70 1.33 51.99 0.09 1.22 3.51 Data Processing.
It can be seen from Table 4 that compared with the sediment reductions on the bare earth road there were remarkable sediment reductions as high as 76% on the plant-growing roads, which is very similar to the research results obtained by Grace (2000).
It follows that planted on earth-road surface, herbaceous plants are capable of water and soil conservation but the sediment reductions were remarkably higher than runoff reductions on the plant-growing roads.
As a result, it would show that the sediment-reduction mechanism of herbaceous plants on the earth road thus laying down a foundation for setting up sediment-reduction models for plant-growing road.
The experimental parameters Hydrodynamic characters of runoff in the different surface sections of the earth roads with the different coverage degrees C(%) Fr Re ε/cm f n (×10-2) 0 2.46 74.16 0.16 0.38 1.91 30 2.05 65.39 0.14 0.52 2.24 40 1.72 64.96 0.12 0.74 2.71 50 1.65 58.13 0.11 0.79 2.79 60 1.55 53.65 0.10 0.91 2.99 70 1.33 51.99 0.09 1.22 3.51 Data Processing.
It can be seen from Table 4 that compared with the sediment reductions on the bare earth road there were remarkable sediment reductions as high as 76% on the plant-growing roads, which is very similar to the research results obtained by Grace (2000).
It follows that planted on earth-road surface, herbaceous plants are capable of water and soil conservation but the sediment reductions were remarkably higher than runoff reductions on the plant-growing roads.
Online since: June 2011
Authors: Han Xing Liu, Jing Wu, Zhi Dong Lin, Xun Zhou, Gao Feng Chen
All cyclic voltammograms data were acquired using Electrochemical workstation (CHI660B).
Fig 2 SEM micrographs of organic-inorganic perovskite hybrid Electrochemical Oxidization and Reduction.
The reduction and oxidation potential of phenosafranine on CPE (Figure 3b) are 667.3 mV and -81.2 mV.
Figure 4 shows the reduction peak current of the hybrid on electrode can be affected by the value of pH.
The reduction peak current decreases with the increase of the value of pH, covering linear range from 1.0 to 6.0.
Fig 2 SEM micrographs of organic-inorganic perovskite hybrid Electrochemical Oxidization and Reduction.
The reduction and oxidation potential of phenosafranine on CPE (Figure 3b) are 667.3 mV and -81.2 mV.
Figure 4 shows the reduction peak current of the hybrid on electrode can be affected by the value of pH.
The reduction peak current decreases with the increase of the value of pH, covering linear range from 1.0 to 6.0.