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Online since: November 2025
Authors: Viktoriya Pasternak, Artem Ruban, Dmitry Bazaliiev, Kyrylo Pasynchuk, Jerzy Telak
For example, metallic nanoparticles may demonstrate enhanced strength due to a reduction in defects within their crystalline lattice [16].
The authors demonstrated that reducing particle size increases their hardness, which is explained by the reduction of defects in the crystal lattice.
Initial data: · The hardness (average) for any material is equal to for large particles
The data will provide insights into optimizing processes like sedimentation and filtration.
For particles smaller than 10 µm, additional methods such as centrifugation or electrostatic precipitation must be considered. 2) hardness (H), the hardness of particles decreases with a reduction in their size .
The authors demonstrated that reducing particle size increases their hardness, which is explained by the reduction of defects in the crystal lattice.
Initial data: · The hardness (average) for any material is equal to for large particles
The data will provide insights into optimizing processes like sedimentation and filtration.
For particles smaller than 10 µm, additional methods such as centrifugation or electrostatic precipitation must be considered. 2) hardness (H), the hardness of particles decreases with a reduction in their size .
Online since: October 2012
Authors: Sheng Yi Chang, Tung Sheng Yang, Jen Chuan Yeh
To verify the prediction of FEM simulation for springback, the experimental data are compared with the results of current simulation.
The abductive network is then utilized to synthesize the data sets obtained from numerical simulations.
The abductive network is then utilized to synthesize the data sets obtained from numerical simulations.
The polynomial network proposed by Ivakhnenko [9] is a group method of data handing (GMDH) techniques.
The results predicted by DEFORM-3D are in good agreement with experimental data by Ihab et al. [5].
The abductive network is then utilized to synthesize the data sets obtained from numerical simulations.
The abductive network is then utilized to synthesize the data sets obtained from numerical simulations.
The polynomial network proposed by Ivakhnenko [9] is a group method of data handing (GMDH) techniques.
The results predicted by DEFORM-3D are in good agreement with experimental data by Ihab et al. [5].
Online since: November 2012
Authors: Wein Duo Yang, Yan Ru Li, Bai Bin Wang, Chi Fen Chang, Thanh Nam Chau
In X-ray powder diffraction analysis, data related to manganese-doped calcium zirconate phosphor and manganese-doped strontium zirconate phosphor were compared using X-ray diffraction comparison software to confirm the crystal structures of both phosphors.
The substance was, in fact, barium sulfide phosphor produced from barium sulfate via reduction and calcination.
The data of the two phosphors were compared using X-ray diffraction comparison software.
The diffraction intensity of the two phosphors was consistent with the data published by the International Center for Diffraction Data (originally the Joint Committee on Powder Diffraction Standards), which showed that the two phosphors synthesized in this study possess single-crystal phases.
The results of this study indicate the following: (1) XRD data confirms that the crystal structure of calcium zirconate phosphor doped with manganese complies with that of orthorhombic perovskites, belonging to the Pnma{62} space group.
The substance was, in fact, barium sulfide phosphor produced from barium sulfate via reduction and calcination.
The data of the two phosphors were compared using X-ray diffraction comparison software.
The diffraction intensity of the two phosphors was consistent with the data published by the International Center for Diffraction Data (originally the Joint Committee on Powder Diffraction Standards), which showed that the two phosphors synthesized in this study possess single-crystal phases.
The results of this study indicate the following: (1) XRD data confirms that the crystal structure of calcium zirconate phosphor doped with manganese complies with that of orthorhombic perovskites, belonging to the Pnma{62} space group.
Online since: August 2007
Authors: Amit Puri, John P. Dear, Alexander D. Fergusson, Miltiadis Kourmpetis, Andrew Morris, Chris Maharaj
It is important to have the latest data as to the
age and state of the components and parts at the time of plant shut down.
Indeed, deciding on the best time to shut down the plant for maintenance can depend upon trends in these data.
These creep strain data obtained at shut down provide key information as to the needed replacement of pipes to maintain reliable plant operation.
Both circumferential and axial strain rates are monitored to provide data for analysis to identify when pipes are approaching their reliable end-of-life.
Using the micro-strain data from a series of previous measurements, accumulated strain and strain rate can thus be determined.
Indeed, deciding on the best time to shut down the plant for maintenance can depend upon trends in these data.
These creep strain data obtained at shut down provide key information as to the needed replacement of pipes to maintain reliable plant operation.
Both circumferential and axial strain rates are monitored to provide data for analysis to identify when pipes are approaching their reliable end-of-life.
Using the micro-strain data from a series of previous measurements, accumulated strain and strain rate can thus be determined.
Online since: April 2014
Authors: Jens Köhler, Berend Denkena, Thomas Krawczyk
The results show, that the shape accuracy is affected by the CAD data and the macro-geometry of the grinding wheel.
Therefore, specialized requirements on the CAD data were defined in order to increase the shape accuracy.
Firstly, the influence of the CAD model on the workpiece shape and the requirements on the used CAD data is defined.
Influence of the CAD data on the shape accuracy The complexity of the structuring process of free formed surfaces requires CAD/CAM systems to generate the tool paths.
-F.: Loss Reduction Using Riblets on a Supersonic Through-flow Fan Blade Cascade.
Therefore, specialized requirements on the CAD data were defined in order to increase the shape accuracy.
Firstly, the influence of the CAD model on the workpiece shape and the requirements on the used CAD data is defined.
Influence of the CAD data on the shape accuracy The complexity of the structuring process of free formed surfaces requires CAD/CAM systems to generate the tool paths.
-F.: Loss Reduction Using Riblets on a Supersonic Through-flow Fan Blade Cascade.
Online since: December 2014
Authors: Vladimir Ivancivsky, Valeriy Pushnin, Vadim Skeeba
The simulation data was verified by full-scale experiments using optical and scanning microscopy and mechanical and X-ray methods to determine residual stresses.
Currently existing results in this area [6 - 10] do not provide a definite solution to this problem because these data are specific and cannot be generalized.
The dependence of physical properties (thermal conductivity λ (T), thermal capacity c (T) and specific density ρ (T)) for steel U8 was taken from the data of the papers [11 - 13].
In the description of the yield stress sYS(Т), Young's modulus E (T), Poisson's ratio v (T), the hardening modulus H (T) were taken from the data presented in the papers [13 - 15].
Schulze, Experimental Determination of Process Parameters and Material Data for Numerical Modeling of Induction Hardening, Journal of Materials Engineering and Performance. 22 (2013) 1861-1870
Currently existing results in this area [6 - 10] do not provide a definite solution to this problem because these data are specific and cannot be generalized.
The dependence of physical properties (thermal conductivity λ (T), thermal capacity c (T) and specific density ρ (T)) for steel U8 was taken from the data of the papers [11 - 13].
In the description of the yield stress sYS(Т), Young's modulus E (T), Poisson's ratio v (T), the hardening modulus H (T) were taken from the data presented in the papers [13 - 15].
Schulze, Experimental Determination of Process Parameters and Material Data for Numerical Modeling of Induction Hardening, Journal of Materials Engineering and Performance. 22 (2013) 1861-1870
Online since: January 2014
Authors: Lin Deng
So the strength reduction of soil caused by disturbing soil should be reduced in construction.
Too great slump of mixture not only can cause too much pile-head laitance, segregation and bleeding of concrete and the reduction of pile-body strength, but also may make fluidity of mixture reduce.
(3) Data synchronization arrangement The construction data of the site including working diary and construction records should be arranged and reserved well to make the record and original data really reflect the actual condition of construction site.
Too great slump of mixture not only can cause too much pile-head laitance, segregation and bleeding of concrete and the reduction of pile-body strength, but also may make fluidity of mixture reduce.
(3) Data synchronization arrangement The construction data of the site including working diary and construction records should be arranged and reserved well to make the record and original data really reflect the actual condition of construction site.
Online since: October 2011
Authors: O. Obodeh, F. O. Isaac
Available data shows that the effective electric energy demand level at peak utility is in the region of 15,000 MW, whereas current energy output level averages at around 2,500 MW (World Bank world development indicator, 2006) [10].
Materials and Method Data were obtained from Sapele thermal power station’s logbook.
In processing the data, percentage shortfall from target energy, load factor, capacity factor and utilization factor were obtained.
A reduction in shortfall indicates better performance of the plant.
The reduction in cost with good load factor is due to the fact that overall working cost per unit becomes low, the fixed charges having been distributed over more units of energy generated.
Materials and Method Data were obtained from Sapele thermal power station’s logbook.
In processing the data, percentage shortfall from target energy, load factor, capacity factor and utilization factor were obtained.
A reduction in shortfall indicates better performance of the plant.
The reduction in cost with good load factor is due to the fact that overall working cost per unit becomes low, the fixed charges having been distributed over more units of energy generated.
Online since: February 2016
Authors: Anastasiia V. Shabalina, Kceniya Belova
Chemical reduction and electrochemical reduction are the most popular methods.
At least 500 particles of every metal were used to calculate the distribution data.
Calibration curves (current-concentration graphs) were obtained from CVs data.
SEM data for nickel on GC surface have not been obtained because of the extremely small size and low contrast (low atomic number) of Ni nanoparticles.
At least 500 particles of every metal were used to calculate the distribution data.
Calibration curves (current-concentration graphs) were obtained from CVs data.
SEM data for nickel on GC surface have not been obtained because of the extremely small size and low contrast (low atomic number) of Ni nanoparticles.
Online since: April 2012
Authors: Anthony D. Rollett, Y. Arita, L. Chan, S.D. Sintay
Doi et al. [2] found that the {411} component, which is a favorable orientation for magnetic flux density, increases with large grain size in the hot-band and higher cold reduction.
Higher cold-rolling reduction enhances the volumes fractions of deformation bands.
In Sample A and B annealed at 800℃ without soaking (0 second), the EBSD data was used as the input for the texture fitting process.
Fig. 7 shows comparisons of ODF (f2=45°) between the measured data and the data assigned by the simulation code [7].
Higher cold-rolling reduction enhances the volumes fractions of deformation bands.
In Sample A and B annealed at 800℃ without soaking (0 second), the EBSD data was used as the input for the texture fitting process.
Fig. 7 shows comparisons of ODF (f2=45°) between the measured data and the data assigned by the simulation code [7].