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Online since: May 2015
Authors: Bel Abbès Bachir Bouiadjra, F. Benyahia, A. Albedah, M. Belhouari
Even though the long-term performance of composites incorporating physical and chemical degradation is of great importance in pipeline applications, yet the data reflecting relevant environmental conditions is still sparse [4, 5].
It was shown by Benyahia et al [6] and Bezzerouki at al [7] that he reduction of the SIF by the wrap is very significant for this crack.
This reduction is more significant as the crack angle increases.
The rate of reduction of the SIF is about 60% for the bending moment, 45% for the internal pressure and 70% for the traction.
This optimization must equilibrate between the reduction of the stress intensity at the repaired defect and the reduction of the risk of adhesive failure.
Online since: September 2014
Authors: Hong Wang, Run He Shi, Pu Dong Liu
The wide use of hyper-spectral data makes it superior to use nbVIs to estimate chlorophyll content.
Data and methods Data Simulation.
The PROSPECT-5 model was used to simulate spectral reflectance data in this study.
The precision of simulated data depends on the floating-point’s word size rather than the precision of the experimental data.
According to Jacquemoud et al. [12], the optimal value of N is 1.4, averaged from experimental data.
Online since: October 2014
Authors: Filippo Giannazzo, Fabrizio Roccaforte, Patrick Fiorenza, C. Bongiorno, Thierry Chassagne, Marilena Vivona, L.K. Swanson, S. Di Franco, S. Lorenti, A. Frazzetto
A significant reduction of the interface states density (from ~1.8´1012 to ~5.7´1011 cm-2eV-1) and, correspondingly, an increase in the carrier mobility (from ~19 to ~108 cm2V-1s-1) was found moving from N2O to POCl3 annealing.
In fact, while the annealing in N2O causes a ~20% increase of the resistivity with respect to the protected area (from 170±2 to 205±3 mΩ´cm), a significant reduction of the resistivity by a factor of ~3.2 (i.e. from 171±2 to 54±1 mΩ´cm) is observed after the thermal treatment in POCl3 ambient.
On the other hand, the significant resistance reduction after PDA in POCl3 indicates a much more efficient donor incorporation due to substitutional P, causing an overcompensation of the p+-type doped material.
Fig.4(a) shows a schematic representation of the 4H-SiC samples cross sectioned for SCM measurements, while Fig.4(b) and (c) show the electrically active dopant concentration profiles obtained by SCM data calibration (using the epitaxy and the substrate concentrations as references) on the samples processed in N2O and in POCl3, respectively.
A reduction of the interface states density (from ~1.8´1012 to ~5.7´1011 cm-2eV-1) and, correspondingly, an increase in the carrier mobility (from ~19 to ~108 cm2V-1s-1) was found moving from N2O to POCl3 annealing.
Online since: September 2007
Authors: Kevin Matocha, R. Ramakrishna Rao, S. Balaji, Vinayak Tilak
The net-trapped charge, Qtrap, is given by ∫= F i E E it trap dEEDQ )( (1) Experimental data shows that the interface trap density (Dit) increases exponentially near the conduction band edge (EC) for 4H-SiC[3].
Reduction in Dit,edge causes a reduction in trapped charge.
The traps cause a reduction in the inversion charge density.
Consistent with our 4H- SiC MOSFET experimental data, this results in lower threshold voltages at higher temperatures as shown in Fig. 6.
Online since: April 2007
Authors: Xiu Ling Zhang, Ji Xiao Wang, Zhi Wang, Shi Chang Wang
Fig.1 shows the cyclic voltammetric (CV) response of the nitrate reduction at PPy nanowire modified electrode.
Consequently, this reduction peak at about - 0.10V can be attributed to the electroreduction of the nitrate and PPy.
In order to compare with the real effect of of pyrrole concentration, the corresponding reduction current densities of the modified electrodes for per polymerization charge were also shown in the figure.
The data are obtained by dividing their current densities by polymerization charges.
This figure indicates that the electro- reduction current density of nitrate almost does not change when pH is less than 10 and decreases with the increase of the pH when pH is more than 10.
Online since: September 2023
Authors: Yassine Bouazza, Azza Lajjam, Btissam Dkhissi
Research Method For this study, quantitative data method collection has been used.
Figure 2 summarizes some interesting data from the sample.
Company Size 6% 20% 74% 11-50 50-250 250 > Fig. 2 Age and Size of manufacturing companies From the data presented in figure 2, 90% of automotive companies in Morocco are aged below 20 years and only 10% are above.
Conclusions Unlike financial and production reporting, which have many standardized sources of data available, environmental data suffers from a lack of consensus regarding how information should be presented, what indicators should be used, and how they are interpreted.
Through the data collected from the semi-structured interviews carried out with a group of companies, this study has identified and analyzed the production and environmental practices within manufacturing companies.
Online since: June 2010
Authors: Yong Xiang Zhao, Hai Bin Hu
A probabilistic modeling in the form of a non-linear law is developed for reflecting the scattered test data.
Test a- and da/d -∆K data are given in Fig. 3.
Measurement The test minimum da/d -∆K data in Table 2 indicate the test results can not be directly used for measuring the material cracking thresholds.
The test da/d -∆K data and probabilistic curves of present material with C=50 % were exhibited in Fig. 4.
The measurement for the present material has verified the availability of the present modeling. 1.0E-08 1.0E-07 1.0E-06 1.0E-05 0 2 4 6 8 10 ∆K (MPa.m^0.5) da /d (mm/cycle) Test da/dN-∆K data ∆Kmin Average curve P-curves at C=50% Fig. 4 Test da/d -∆K data and probabilistic curves of present material with C=50 %.
Online since: August 2013
Authors: Petr Martínek, Pavel Podaný, Ivana Poláková, Jaroslav Tuček
This reduction was achieved in 11 passes.
This measured data was not sufficient for FEM simulation of cold rolling.
JMatPro calculates thermo-mechanical properties from chemical composition data.
The material model used for FEM simulation of cold rolling was constructed by merging measured data from Rastegaev compression test and the data calculated in JMatPro software (Fig. 7).
Overall, all computed data for the three nickel alloys were very similar.
Online since: June 2021
Authors: Zhi Shou Zhu, Li Wei Zhu, Xin Nan Wang
The hot deformation behavior of Ti-Al-Nb-Zr-Mo-Cr titanium alloy has been investigated using a Gleeble-1500D thermal simulation test machine in the temperature range of 855℃~1015℃,at constant strain rate from 0.01 s-1 to 10s-1 and with height reduction of 45%.
The specimens were reheated to the target temperature, holding for 5 min and then deformed at the selected temperature with a constant strain rate to a height reduction.
The processing map of Ti-Al-Nb-Mo-Zr-Cr alloy shown in Fig.7 has been established with the method suggested by ref. [9], which is constructed at deformation temperatures ranging from 855℃to 1015℃ and strain rates ranging from 0.001s-1 to 10s-1 with height reduction of 45%.
Based on the analysis of flow stress data, constitutive equation has been developed for Ti-Al-Nb-Mo-Zr-Cr alloy in this work.
(2) According to the data of the hot compression tests, the values of activation energy Q of alloy is calculated to be 541kJ/mol in α+β field, and 243 kJ/mol in β field
Online since: May 2012
Authors: Chun Xia Lv, Zhao Xiang Han, Meng Zhang
Exposure to NiO nanoparticles led to significant reductions of cell viability between 20 and 60% relative to controls.
Data analysis.
Data were analyzed by statistically, using the Origin7.5 software package, ANOVA and means were compared by the Tukey’s test at the 0.05 level of confidence.
Exposure to NiO nanoparticles led to significant reductions of cell viability between 20 and 60% relative to controls, but the pattern of impact varied depending on exposure concentration and time (Fig.2).
Exposure to NiO nanoparticles led to significant reductions of cell viability between 20 and 60% relative to controls.
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