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Online since: May 2012
Authors: Peng Yu Dong, Shu Fen Guo, Jun Bo Zhou
This type of organic iodine removal process consists of significantly larger number of steps than the physical adsorption process alone:
a) Diffusion of active form to the grain surface
b) Diffusion of active form into the pores
c) Physical adsorption of active form
d) Isotopic exchange
e) Desorption of inactive form from the surface
f) Diffusion of stable form from pores
g) Diffusion of stable form into the gas phase
Therefore, if only the decontamination factors of the soaked activated carbon for removing the radioactive iodine and methyl iodine can be more than 1000, the decontamination factor of the non-soaked active carbon for removing stable iodine will only be higher than it.
What is noticeable: When the iodine number separated out is very big, we need to carry on titration analysis with the standard Na2S2O3 solution.
[11] GB/ T 77O2- 1997, Standard experiment method of granular activated carbon from coal-Determination of iodine adsorption number
What is noticeable: When the iodine number separated out is very big, we need to carry on titration analysis with the standard Na2S2O3 solution.
[11] GB/ T 77O2- 1997, Standard experiment method of granular activated carbon from coal-Determination of iodine adsorption number
Online since: March 2012
Authors: Konrad Dybowski, Piotr Kula, Robert Pietrasik, Emilia Wołowiec, Leszek Klimek
During experiments with vacuum carburization, it was observed that an inappropriately managed treatment causes the appearance of carbide clusters on the edge of steel grains (cementite network).
Material and thermal processing Selecting steel was based on the need to include the biggest possible number of alloy elements, which affect the course of vacuum carburization in a significant way. 180 cylindrical samples (diameter 27 mm, height 10 mm) made of steel were used as research material (EN 18CrNi8, EN 20CrMnTi, EN 18CrNiMo7-6).
In the temperature of 1223 K, the biggest numbers of carbide clusters were noticed in the samples of EN 18CrNi8.
EN 18CrNiMo7-6 contained the greatest number of molybdenum (0.33%); thereby it formed more carbides of this element.
Material and thermal processing Selecting steel was based on the need to include the biggest possible number of alloy elements, which affect the course of vacuum carburization in a significant way. 180 cylindrical samples (diameter 27 mm, height 10 mm) made of steel were used as research material (EN 18CrNi8, EN 20CrMnTi, EN 18CrNiMo7-6).
In the temperature of 1223 K, the biggest numbers of carbide clusters were noticed in the samples of EN 18CrNi8.
EN 18CrNiMo7-6 contained the greatest number of molybdenum (0.33%); thereby it formed more carbides of this element.
Online since: February 2020
Authors: Odelsia Leonor Sánchez Alsina, Acácia Lima Silva, Gabriel Francisco Silva, Luciano Fernandes Monteiro, Álvaro Silva Lima
However, in addition to the fruits mentioned above, the Northeast region has a considerable number of tropical fruits, considered exotic, with a pleasant taste and smell, rich in various types of vitamins, carbohydrates, minerals and bioactive components of importance for a healthy life, where is the mangaba (Hancornia speciosa Gomes), whose fruit is part of this statistic [1].
(3) Where, n is the number of values obtained, P are the values calculated by the model and O are the experimental values Results and Discussion As a result of the drying process, it was observed that, like other tropical fruits, such as jabuticaba [7], the mangaba requires long periods of drying due to the high water activity.
These conditions led to a reduction in the number and quality of the experimental points collected, with considerable deviations, which certainly also affects the accuracy of the estimated parameter of pseudo-equilibrium moisture and drying time.
Thus, the diffusive process of the water contained in the product happens from the center to the surroundings, evaporating in a milder balanced way, fact observed in grains such as rice [12].
(3) Where, n is the number of values obtained, P are the values calculated by the model and O are the experimental values Results and Discussion As a result of the drying process, it was observed that, like other tropical fruits, such as jabuticaba [7], the mangaba requires long periods of drying due to the high water activity.
These conditions led to a reduction in the number and quality of the experimental points collected, with considerable deviations, which certainly also affects the accuracy of the estimated parameter of pseudo-equilibrium moisture and drying time.
Thus, the diffusive process of the water contained in the product happens from the center to the surroundings, evaporating in a milder balanced way, fact observed in grains such as rice [12].
Online since: November 2021
Authors: Janis Zicans, Tatjana Ivanova, Andrejs Kovalovs, Remo Merijs Meri, Piotr Franciszczak
For the problem solution, 3n FFD was selected, where n is the number of variables and 3 is the number of levels for each variable.
(1) where F(x) is the response, xi and xj are the values of variables, b0 is the constant, bi, bj and bij are the regression coefficients, respectively, and m is the number of the variables.
Locs, Development and Characterization of Grain Husks Derived Lignocellulose Filler Containing, Polym.
(1) where F(x) is the response, xi and xj are the values of variables, b0 is the constant, bi, bj and bij are the regression coefficients, respectively, and m is the number of the variables.
Locs, Development and Characterization of Grain Husks Derived Lignocellulose Filler Containing, Polym.
Online since: July 2021
Authors: Roman E. Novikov, Aleksandr O. Taube, Ekaterina I. Storozheva
Despite a rather wide range of studies of individual nuances of deformation and fracture modeling under the simplest loading methods, such as, for example, neck formation during specimen tension [1-5], the main questions remain insufficiently disclosed: how does the form of the studied objects affect the simulation results; is there any correlation with experimental data; is there a dependence of the deformation and fracture pattern on the geometric form of the unit cells; what is the effect of neglect of structural (degree of contaminating impurity with non-metallic inclusions, shape and size of grains, etc.) and defective (surface roughness, internal defects) factors on the accuracy of the results, and many others.
The number of cells for cylindrical specimens and segments is ~ 60000, for pipe specimens ~ 270000.
However, it should be borne in mind that mesh refinement or an increase in the number of processing steps inevitably leads to an increase in the calculation time.
MPa] Cylindrical samples Experiment 501 38 31,0 - DEFORM 494 59 43,1 897 Marc (pyramid) 487 43 40,0 787 Marc (cube) 494 38 30,9 795 Marc (prism) 492 45 32,5 777 Segments Experiment 474 57 69,7..86,9 - DEFORM 342 58 90,4 1060 Marc (pyramid) 507 53 106,7 818 Marc (cube) 487 53 63,6 825 Marc (prism) 467 53 82,1 854 Tubes Experiment 509 38 138,3..160,5 - DEFORM 374 32 120,0 833 Marc (pyramid) 451 12 82,0 797 Marc (cube) 637 29 144,0 744 Marc (prism) 756 27 107,0 806 Tubes without flattening DEFORM 493 42 127,0 998 Marc (pyramid) 490 29 115,0 786 Marc (cube) 489 30 76,0 749 Marc (prism) 490 32 70,0 879 Notes: L – distance from the moving edge of the sample to the neck smax – maximum von Mises stresses at the moment of fracture As can be seen from the analysis of the models built in Marc, the geometric form of elementary cells has a significant effect on the results - the numerical values of the mechanical characteristics, the localization of the stress and strain distribution fields, the number
The number of cells for cylindrical specimens and segments is ~ 60000, for pipe specimens ~ 270000.
However, it should be borne in mind that mesh refinement or an increase in the number of processing steps inevitably leads to an increase in the calculation time.
MPa] Cylindrical samples Experiment 501 38 31,0 - DEFORM 494 59 43,1 897 Marc (pyramid) 487 43 40,0 787 Marc (cube) 494 38 30,9 795 Marc (prism) 492 45 32,5 777 Segments Experiment 474 57 69,7..86,9 - DEFORM 342 58 90,4 1060 Marc (pyramid) 507 53 106,7 818 Marc (cube) 487 53 63,6 825 Marc (prism) 467 53 82,1 854 Tubes Experiment 509 38 138,3..160,5 - DEFORM 374 32 120,0 833 Marc (pyramid) 451 12 82,0 797 Marc (cube) 637 29 144,0 744 Marc (prism) 756 27 107,0 806 Tubes without flattening DEFORM 493 42 127,0 998 Marc (pyramid) 490 29 115,0 786 Marc (cube) 489 30 76,0 749 Marc (prism) 490 32 70,0 879 Notes: L – distance from the moving edge of the sample to the neck smax – maximum von Mises stresses at the moment of fracture As can be seen from the analysis of the models built in Marc, the geometric form of elementary cells has a significant effect on the results - the numerical values of the mechanical characteristics, the localization of the stress and strain distribution fields, the number
Online since: February 2022
Authors: Dmitry А. Chinakhov, E.D. Rzaev, K.O. Akimov, A.S. Dubrovskiy
Automation and flexibility of production allowed to reduce the time and cost of development and implementation of complex geometric shapes of a large number of parts [4, 5].
In the case of differences in surface texture, sphericity of particles, chemical composition of the powder of one batch, an article with poor surface quality and a large number of pores may be formed.[17].
[18] Steel symbol/number: X2CrNi21–10/1.4331 [electronic resource].
Kolubaev, Microstructure and grain growth inhomogeneity in austenitic steel produced by wire-feed electron beam melting: the effect of post-building solid-solution treatment, J.
In the case of differences in surface texture, sphericity of particles, chemical composition of the powder of one batch, an article with poor surface quality and a large number of pores may be formed.[17].
[18] Steel symbol/number: X2CrNi21–10/1.4331 [electronic resource].
Kolubaev, Microstructure and grain growth inhomogeneity in austenitic steel produced by wire-feed electron beam melting: the effect of post-building solid-solution treatment, J.
Online since: February 2007
Authors: Viktória Janó
Sample
number
Laser
Power
[kW]
Speed of the
Al wire feed
[mm/min]
Intensity of the
compressed-air flow
[litre/min]
Clad thickness
[mm]
1 2,5 830 - 1,28
2 2 830 - 0,96
3 1 830 - 0,74
4 1 830 10 0,77
5 1 830 20 0,84
6 1 830 30 1,03
Table 1.
The SEM image of the 5th sample shows that the dark grey, small nearly spherical grains contain oxygen and aluminium, so with a great chance alumina.
The SEM image of the 5th sample shows that the dark grey, small nearly spherical grains contain oxygen and aluminium, so with a great chance alumina.
Online since: June 2012
Authors: Wan Qi Jie, Yu Hong Huang, Gang Qiang Zha
(8)
where is the Avogadro number, is the density, is the average sound velocity, andare transverse and longitudinal elastic wave velocity, respectively [28].
In earlier years, the effective modulus of polycrystalline materials is approximated by taking into account uniform strain [30] or uniform stress [31] exerted on grains, which are put forward by Voigt [30] and Reuss [31], respectively.
In earlier years, the effective modulus of polycrystalline materials is approximated by taking into account uniform strain [30] or uniform stress [31] exerted on grains, which are put forward by Voigt [30] and Reuss [31], respectively.
Online since: February 2011
Authors: N.R. Rosli, Jariah Mohd Juoi, A. Shaaban, N.F. Ayoob
The factor regulating to physical and mechanical properties are crystalline phases, crystallisation degree and fine grained size [6].
Sintering process increased the number of crystalline phases present in the sintered glass ceramic bodies.
Sintering process increased the number of crystalline phases present in the sintered glass ceramic bodies.
Online since: February 2004
Authors: Y. Liu, Xun Chen
The abrasive water jet cutting process is influenced by many parameters such as water pressure,
abrasive (mass) flow rate, abrasive grain size, stand-off distance, jet traversing speed, nozzle diameter,
etc.
Obviously, granite cutting by abrasive water jet is a complicated process influenced by a large number of factors, of which the jet diameter and traversing speed are among those most influential controllable parameters.
Obviously, granite cutting by abrasive water jet is a complicated process influenced by a large number of factors, of which the jet diameter and traversing speed are among those most influential controllable parameters.