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Online since: November 2014
Authors: Syed Ahmad Farhan, Mohd Faris Khamidi, Nadzhratul Husna Ahmad Puad, Khairun Azizi Azizli
The addition of polymer shows the enhancement of mechanical strength and the reduction of thermal conductivity which can be explained by the presence of more porous in the hybrid structure which leads to a more complex interaction between polymer and clay [20].
[13] Information on http://www.elsevier.com/data/asset/pdf file/007/148714/scopus facts and figures. pdf [14] M.
[13] Information on http://www.elsevier.com/data/asset/pdf file/007/148714/scopus facts and figures. pdf [14] M.
Online since: July 2024
Authors: Fan Zhang, Mehmet Emre Bayraktar
Construction companies had to downsize their operations, leading to a reduction in employment opportunities and wage stagnation.
data/gdp/gdp-industry> (May 9, 2023)
[4] Atluri, E. (2018).
Online since: October 2011
Authors: Zuo Xia Xing, Lei Chen, Wei Li, Hong Li Sun
When the datas are measured, turbulence intensity is 0.14, wind speed is 16m/s and rotor speed is 14.31 rpm.
[10] T.G. van Engelen, in:Design model and load reduction assessment for multi-rotational mode individual pitch control.
[10] T.G. van Engelen, in:Design model and load reduction assessment for multi-rotational mode individual pitch control.
Online since: December 2016
Authors: Hui Xia Liu, Zong Bao Shen, You Juan Ma, Qing Qian, Wen Hao Zhang
Because of the reduction of the cost for micro manufacturing, this process gets attention from domestic and foreign researchers widely [1-3].
The strain energy expression of Mooney-Rivlin model is: (5) (6) W is the strain energy of each datum volume; I1, I2 and I3 are the invariants of the deformation tensor; K is the bulk plastic modulus; for the incompressible material, I3=1; Ckm is the material constant.
Cook, A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures, Proc. 7th Int.
The strain energy expression of Mooney-Rivlin model is: (5) (6) W is the strain energy of each datum volume; I1, I2 and I3 are the invariants of the deformation tensor; K is the bulk plastic modulus; for the incompressible material, I3=1; Ckm is the material constant.
Cook, A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures, Proc. 7th Int.
Online since: December 2024
Authors: S. Arul Vathana, H. Johnson Jeyakumar, A. Mary George Shemona, S. Kanagaprabha
The interplanar spacing or d-spacing is evaluated using Bragg's law following the Eq. 3,
2ⅆsinθ=nλ (3)
Where n is the order of diffraction (n = 1 for first-order diffraction), d-spacing, the diffraction angle determined from XRD data, and the wavelength of the X-ray beam (1.54056 Å) are all represented.
It was believed that the reduction in nanoparticle size was responsible for this wavelength shift [50].
According to the data, antibacterial action is minimal at concentrations of 10 μl, 20 μl and 30 μl TiO2 NPs.
Antibacterial activity data for TiO2 NPs.
It was believed that the reduction in nanoparticle size was responsible for this wavelength shift [50].
According to the data, antibacterial action is minimal at concentrations of 10 μl, 20 μl and 30 μl TiO2 NPs.
Antibacterial activity data for TiO2 NPs.
Online since: July 2022
Authors: Albert Curmi, Arif Rochman
Years later, Tadmor developed his first analytical model of melting behavior using the data presented by Maddock [11].
U2 represents the reduction of the rate of melt removal by drag flow.
The material model for ABS is shown in Figure 4 which presents the data provided by the supplier compared with the power law model.
Parameter Value* m0 6417 n 0.51 a 0.0204 Tm 210°C (*) for a shear rate range of conventional extrusion between 100 s-1 and 1000 s-1 Figure 4 - Viscosity vs Shear rate graph of ABS P2H-AT with manufacturer data and power law model along with the numerical value of the power law model parameters.
U2 represents the reduction of the rate of melt removal by drag flow.
The material model for ABS is shown in Figure 4 which presents the data provided by the supplier compared with the power law model.
Parameter Value* m0 6417 n 0.51 a 0.0204 Tm 210°C (*) for a shear rate range of conventional extrusion between 100 s-1 and 1000 s-1 Figure 4 - Viscosity vs Shear rate graph of ABS P2H-AT with manufacturer data and power law model along with the numerical value of the power law model parameters.
Online since: May 2009
Authors: H.M. Lu
Indeed in many cases,
experimental data on nanoparticle properties are rather scanty and contradictory.
It is interesting that the γmin data are in a good agreement with those from the supercooling experiments of Turnbull [9]
The experimental data on γexp are from refs. [10,12,39,40,41,42,43,44], and other theoretical results γ1 from refs
It is found that the differences between the predictions and the experimental data are smaller than 5% in cases where the experimental data encompass the largest temperature range (from Tm to 3.5Tm) to the best of our knowledge.
(PAP) as well as available experimental data are also plotted in Fig. 18 [237,238].
It is interesting that the γmin data are in a good agreement with those from the supercooling experiments of Turnbull [9]
The experimental data on γexp are from refs. [10,12,39,40,41,42,43,44], and other theoretical results γ1 from refs
It is found that the differences between the predictions and the experimental data are smaller than 5% in cases where the experimental data encompass the largest temperature range (from Tm to 3.5Tm) to the best of our knowledge.
(PAP) as well as available experimental data are also plotted in Fig. 18 [237,238].
Online since: October 2010
Authors: Sergey A. Dmitriev, Sergey V. Stefanovsky, Vladimir V. Lebedev, Alexander G. Ptashkin, James C. Marra
The Radon full-scale LILW vitrification plant.
1 – LILW interim storage tank; 2 – LILW transportation vehicle; 3 – pump; 4 – concentrate collector; 5 – rotary film evaporator; 6, 13, 26 – pumps; 7 – condenser; 8 – condensate collector; 9 – batch (feed) mixer; 10 – glass formers bins; 11 – glass formers mixture bin; 12 – screw feeder; 14 – cold crucible; 15 – bag filter; 16 – HEPA filter; 17, 19, 23, 27 – heat exchangers; 18 – scrubber; 20 – heater; 21 – catalytic reactor for reduction of nitrogen oxides; 22 – catalytic reactor for oxidation of ammonia; 24 – fan; 25– sorbent bin; 26. - Pump; 28 – ammonia balloon; 29 – glass canister; 30 – annealing furnace.
The equipment for automated melter cooling control was selected and the contours of automated control for the cooling system were designed thus providing for possibility of automatic data acquisition and calculation of the heat balance of the melter.
Overall, the direction of the work at SIA Radon is to achieve the following: · to maximize melter’s lifetime to 5000 hours by means of the optimization of the design, control the optimal cooling regime for each element of the melter, to minimization of the amount of moving parts and impacted connections; · to simplify the melter design to the utmost under conditions of HLW treatment and to facilitate dismantling and disposal of the melter in the case of failure; · to search for the most heat and corrosion resistant construction materials; · to ensure remote (ideally fully automatic too) control of melter start-up, slurry (paste) feeding, and melt pouring; · to adjust the algorithms of the process control to provide for their adequacy to real characteristics of the process, applying the data gained during the work on the bench-scale facility.
Nevertheless, as follows from reference data, these crucibles don’t have appreciable advantages on specific productivity and melting ratio (heat expenses) over crucibles operated at lower frequencies.
The equipment for automated melter cooling control was selected and the contours of automated control for the cooling system were designed thus providing for possibility of automatic data acquisition and calculation of the heat balance of the melter.
Overall, the direction of the work at SIA Radon is to achieve the following: · to maximize melter’s lifetime to 5000 hours by means of the optimization of the design, control the optimal cooling regime for each element of the melter, to minimization of the amount of moving parts and impacted connections; · to simplify the melter design to the utmost under conditions of HLW treatment and to facilitate dismantling and disposal of the melter in the case of failure; · to search for the most heat and corrosion resistant construction materials; · to ensure remote (ideally fully automatic too) control of melter start-up, slurry (paste) feeding, and melt pouring; · to adjust the algorithms of the process control to provide for their adequacy to real characteristics of the process, applying the data gained during the work on the bench-scale facility.
Nevertheless, as follows from reference data, these crucibles don’t have appreciable advantages on specific productivity and melting ratio (heat expenses) over crucibles operated at lower frequencies.
Online since: December 2011
Authors: Hu Cai, Peng Zhang, Yuan Xun Wang
Introduction
With the growing global environmental and energy crisis, energy conservation emission reduction has become an important issue facing in a new generation of automotive design and manufacturing.
The tensile test and analysis of experimental data suggested that: the Young's modulus of material is very sensitive to welding parameters, especially the actual load; other physical characteristics’ sensitivity to the arc intensity parameters is weak; interaction between welding current intensity and duration of welding is small, the controlling factor is actual load.
Although Sun et al made a relatively detailed study on metallographic structure and mechanical properties of magnesium alloy joints, but there are limitedness and one-sidedness in test methods and data processing.
Under proper current circumstances, the simulation nugget size can fit the experimental data well, but in case the current is much too higher, the error would be obvious.
The tensile test and analysis of experimental data suggested that: the Young's modulus of material is very sensitive to welding parameters, especially the actual load; other physical characteristics’ sensitivity to the arc intensity parameters is weak; interaction between welding current intensity and duration of welding is small, the controlling factor is actual load.
Although Sun et al made a relatively detailed study on metallographic structure and mechanical properties of magnesium alloy joints, but there are limitedness and one-sidedness in test methods and data processing.
Under proper current circumstances, the simulation nugget size can fit the experimental data well, but in case the current is much too higher, the error would be obvious.
Online since: May 2024
Authors: Fernando Juárez-López, Ruben Cuamatzi-Melendez, Melchor Salazar-Martínez
A high frequency digital oscilloscope (TDS 210 Tektronix oscilloscope, 1 GHz) was used for data acquisition.
While the dislocations in the boundary remain isolated and distinct, the boundary can be considered to be low-angle, if deformation continues the density of dislocations will increase and a reduction of spacing between neighbouring dislocations occurs.
The distribution of misorientation angle of all facets was analysed with Weibull distribution analysis, Fig. 19 shows the fitted line on experimental data used to compute the Weibull analysis and consequently the value of shape and scale Weibull parameters.
Kestensa, A multivariate grain size and orientation distribution function: Derivation from electron backscatter diffraction data and applications, J.
While the dislocations in the boundary remain isolated and distinct, the boundary can be considered to be low-angle, if deformation continues the density of dislocations will increase and a reduction of spacing between neighbouring dislocations occurs.
The distribution of misorientation angle of all facets was analysed with Weibull distribution analysis, Fig. 19 shows the fitted line on experimental data used to compute the Weibull analysis and consequently the value of shape and scale Weibull parameters.
Kestensa, A multivariate grain size and orientation distribution function: Derivation from electron backscatter diffraction data and applications, J.