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Online since: June 2010
Authors: Fang Chao Cheng, Ying Cheng Hu, Jin Li, Xu Jie Zhang
The position of metal mesh and the mesh
number of metal mesh make significant effects on the MOE; the type of metal mesh and the angle of
metal mesh-wood grain do not have any obvious effects on the MOE.
The type of metal mesh and the position of metal mesh make significant effects on the MOR; the mesh number of metal mesh and the angle of metal mesh-wood grain do not have any obvious effects on the MOR.
All of them had three different mesh numbers (mesh number is defined as the number of meshes in 1 inch by 1 inch area), including 20, 30 and 40.
Consequently, the position of metal mesh makes significant effects on the MOE of LVL, and then the mesh number of metal mesh, the type of metal mesh and the angle of metal mesh-wood grain in order.
Consequently, the type of metal mesh makes significant effects on the MOR of LVL, and then the position of metal mesh, the angle of metal mesh-wood grain and the mesh number of metal mesh in order.
The type of metal mesh and the position of metal mesh make significant effects on the MOR; the mesh number of metal mesh and the angle of metal mesh-wood grain do not have any obvious effects on the MOR.
All of them had three different mesh numbers (mesh number is defined as the number of meshes in 1 inch by 1 inch area), including 20, 30 and 40.
Consequently, the position of metal mesh makes significant effects on the MOE of LVL, and then the mesh number of metal mesh, the type of metal mesh and the angle of metal mesh-wood grain in order.
Consequently, the type of metal mesh makes significant effects on the MOR of LVL, and then the position of metal mesh, the angle of metal mesh-wood grain and the mesh number of metal mesh in order.
Online since: July 2013
Authors: N. Hari Babu, Magdalena Nowak, Feng Yan, Leandro Bolzoni
Grain Refiner Development for Al Containing Mg Alloys
L.
Therefore, the development of a more appropriate, effective and consistent grain refiner is technologically important and necessary but it has not been found yet despite the significant increase in the number of publications reporting potential grain refiners for Al-containing magnesium alloys [17].
Hildebrand, Grain Refinement of Magnesium Alloys, Metall.
John, The Role of Solute in Grain Refinement of Magnesium, Metall.
Taylor, Grain Refinement by AlN Particles in Mg-Al Based Alloys, J.
Therefore, the development of a more appropriate, effective and consistent grain refiner is technologically important and necessary but it has not been found yet despite the significant increase in the number of publications reporting potential grain refiners for Al-containing magnesium alloys [17].
Hildebrand, Grain Refinement of Magnesium Alloys, Metall.
John, The Role of Solute in Grain Refinement of Magnesium, Metall.
Taylor, Grain Refinement by AlN Particles in Mg-Al Based Alloys, J.
Online since: July 2006
Authors: Dmitri A. Molodov, Günter Gottstein, Lasar S. Shvindlerman, V.A. Ivanov, D. Kolesnikov, Witold Łojkowski
This "expansion" of the region where two grains meet is referred to as a
grain boundary excess free volume (BFV).
Along with the grain boundary energy it belongs to the fundamental thermodynamic properties of grain boundaries and thus, directly correlates with grain boundary properties such as grain boundary diffusion, sliding, wetting, etc.
The parameter 0Γ has the meaning of autoadsorption on grain boundaries in a pure material and is defined as the difference between the number of atoms in a bicrystal *aN and in a single crystal of the same volume aN per unit area of a boundary: ( )*0aa NNA Γ= − % , where A% is the grain boundary area1.
Prior to annealing the samples were electrolytically polished to improve the surface quality. 40θ=° <111> II <111> I <111> III <112> III <110> Grain I Grain II Grain III ψ <112> I <112> II <110> GB3 °= 42 GB1GB2 ψ ψ 40θ=° <111> II <111> I <111> III <112> III <110> Grain I Grain II Grain III ψ <112> I <112> II <110> GB3 °= 42 GB1GB2 ψ ψ Fig. 2.
Shvindlerman: Grain Boundary Migration in Metals.
Along with the grain boundary energy it belongs to the fundamental thermodynamic properties of grain boundaries and thus, directly correlates with grain boundary properties such as grain boundary diffusion, sliding, wetting, etc.
The parameter 0Γ has the meaning of autoadsorption on grain boundaries in a pure material and is defined as the difference between the number of atoms in a bicrystal *aN and in a single crystal of the same volume aN per unit area of a boundary: ( )*0aa NNA Γ= − % , where A% is the grain boundary area1.
Prior to annealing the samples were electrolytically polished to improve the surface quality. 40θ=° <111> II <111> I <111> III <112> III <110> Grain I Grain II Grain III ψ <112> I <112> II <110> GB3 °= 42 GB1GB2 ψ ψ 40θ=° <111> II <111> I <111> III <112> III <110> Grain I Grain II Grain III ψ <112> I <112> II <110> GB3 °= 42 GB1GB2 ψ ψ Fig. 2.
Shvindlerman: Grain Boundary Migration in Metals.
Online since: November 2012
Authors: De Wang Li, Mei Lan Qiu
And there are many grain yield forecast methods.
According to Markov chain, we can divide the data sequence into a number of different states, represented by, state transition only occurs at countable moment such as etc.
(1) Here, denotes the total number of emerged state, denotes the number of state transferring to statethrough step, is the number of states by, one step state transition probability matrix is as follows (4).
Calculating by the number of state, we obtain the step transition matrix as follow (9):
From Table 2, we predict the yield of grain of Guangxi by exploiting the parameter joint model.
According to Markov chain, we can divide the data sequence into a number of different states, represented by, state transition only occurs at countable moment such as etc.
(1) Here, denotes the total number of emerged state, denotes the number of state transferring to statethrough step, is the number of states by, one step state transition probability matrix is as follows (4).
Calculating by the number of state, we obtain the step transition matrix as follow (9):
From Table 2, we predict the yield of grain of Guangxi by exploiting the parameter joint model.
Online since: February 2019
Authors: G.N. Soboleva, E.V. Chivikova, E.V. Ogloblina, S.N. Golovin, N.P. Lukutsova
Fine-Grained High-Strength Concrete
N.P.
The structure of fine-grained concrete is studied.
Despite the larger optimal diameter of the metakaolin particles, stabilized by PVA after 8 minute ultrasonic dispersion, the number of the particles with the size of 11.2 nm is 44.3%, thus it being 4 times more than the metakaolin particles with the minimum diameter when stabilizing the suspension with S-3.
Structure of fine-grained concrete modified by PVA (a) and S-3 (b).
Goldenberg, Fine-Grained Concrete, MGSU, Moscow. 1998
The structure of fine-grained concrete is studied.
Despite the larger optimal diameter of the metakaolin particles, stabilized by PVA after 8 minute ultrasonic dispersion, the number of the particles with the size of 11.2 nm is 44.3%, thus it being 4 times more than the metakaolin particles with the minimum diameter when stabilizing the suspension with S-3.
Structure of fine-grained concrete modified by PVA (a) and S-3 (b).
Goldenberg, Fine-Grained Concrete, MGSU, Moscow. 1998
Online since: March 2015
Authors: Magdalena Popczyk, Grzegorz Dercz, B. Łosiewicz, A. Wala
The linear method was used to determine the average number of segments per one length unit of the NL structure and the average length of the circuits of grains in the áLñ flat structure.
The NA parameter has an [mm-2] dimension and is defined as a relative multiplicity of particles or grains in a flat structure, i.e. the average number of particles or grains per a unit area (also known as the density of particles or grains on the plane).
Pattern number 6 reflected the image of the structure best, so using the formula (1) it was calculated that the number of grains on the surface of 1 mm2 is 512, and the average áAñ surface area was determined to be 0.001953 mm2 with the following formula:
Based on the measurements for the Armco iron, the average number of grains per one unit of the NA area and the mean surface area of the grains in the áAñ flat structure were determined with the planimetric, the Jeffries and the comparative methods.
The linear method was used to determine the average number of segments per one unit of length of the NL structure and the average length of the circuits of the grains in the áLñ flat structure.
The NA parameter has an [mm-2] dimension and is defined as a relative multiplicity of particles or grains in a flat structure, i.e. the average number of particles or grains per a unit area (also known as the density of particles or grains on the plane).
Pattern number 6 reflected the image of the structure best, so using the formula (1) it was calculated that the number of grains on the surface of 1 mm2 is 512, and the average áAñ surface area was determined to be 0.001953 mm2 with the following formula:
Based on the measurements for the Armco iron, the average number of grains per one unit of the NA area and the mean surface area of the grains in the áAñ flat structure were determined with the planimetric, the Jeffries and the comparative methods.
The linear method was used to determine the average number of segments per one unit of length of the NL structure and the average length of the circuits of the grains in the áLñ flat structure.
Online since: November 2012
Authors: Ferri M.H.Aliabadi, Ivano Benedetti
Some authors have pointed out that Voroni tessellations underestimate the distribution of grain size and overestimate the number of faces per grain [5].
Given a volume bounded by an external surface and containing grains, two kinds of grains can be distinguished: the boundary grains, intersecting the external boundary, and the internal grains, completely surrounded by other grains.
The effective properties are obtained by taking the ensemble average of the apparent properties over a certain number of microstructure realizations with the same number of grains, see e.g. [13].
For a given number of grains, 100 different realizations have been generated and simulated.
It is worth noting how the scatter is reduced, and how the computed mean values get closer to the third order bounds, when an higher number of grains is considered.
Given a volume bounded by an external surface and containing grains, two kinds of grains can be distinguished: the boundary grains, intersecting the external boundary, and the internal grains, completely surrounded by other grains.
The effective properties are obtained by taking the ensemble average of the apparent properties over a certain number of microstructure realizations with the same number of grains, see e.g. [13].
For a given number of grains, 100 different realizations have been generated and simulated.
It is worth noting how the scatter is reduced, and how the computed mean values get closer to the third order bounds, when an higher number of grains is considered.
Online since: September 2014
Authors: Akihiro Sakaguchi, Tomoyuki Kawashita, Shuji Matsuo
In the white area is an abrasive grain.
Finally, a labeling processing is done to obtain the number of the abrasive grains and those positions in the image [Process J].
Here the number of the abrasive grains was 3817, the detected number was 3324, the undetected number was 493 and the false detected number was 314.
Next a distribution of the number of the abrasive grain at intervals of 1.5[mm] was shown in Fig.8.
It was confirmed that the area with a small number of the abrasives and many exist periodically in the measurement range.
Finally, a labeling processing is done to obtain the number of the abrasive grains and those positions in the image [Process J].
Here the number of the abrasive grains was 3817, the detected number was 3324, the undetected number was 493 and the false detected number was 314.
Next a distribution of the number of the abrasive grain at intervals of 1.5[mm] was shown in Fig.8.
It was confirmed that the area with a small number of the abrasives and many exist periodically in the measurement range.
Online since: June 2021
Authors: Yue Long Bai, Zhi Feng Zhang, Wei Min Mao, Zhi Hua Gao, Yong Tao Xu, Han Sen Zheng
The alloy liquid undergoes non-equilibrium solidification so that a large number of dendritic grains are formed in the melt.
As the temperature decreases, the number of nucleation points in the melt increases, which induces a large number of nucleation of the melt.
There was only a few dimples could be seen on the fracture, instead with a large number of lamellar quasi-cleavage planes, indicating that brittle fracture occurred when the alloy fractured.
As shown in Fig. 5(b), the number of dimples in the fracture, with different sizes and deep dimple depths, was very large.
The grain spheroidizes and the grain boundary becomes rounded.
As the temperature decreases, the number of nucleation points in the melt increases, which induces a large number of nucleation of the melt.
There was only a few dimples could be seen on the fracture, instead with a large number of lamellar quasi-cleavage planes, indicating that brittle fracture occurred when the alloy fractured.
As shown in Fig. 5(b), the number of dimples in the fracture, with different sizes and deep dimple depths, was very large.
The grain spheroidizes and the grain boundary becomes rounded.
Online since: April 2011
Authors: Vladimir V. Popov
Modern Models of Grain Boundary Diffusion
V.V.
Recent models of grain-boundary diffusion are briefly reviewed.
Fisher’s model of grain-boundary diffusion
Diffusion proceeds only along grain boundaries.
An unusually high effective diffusion permeability of nano-materials at low temperatures was observed in a number of publications (see, e.g. [23-25]).
Recent models of grain-boundary diffusion are briefly reviewed.
Fisher’s model of grain-boundary diffusion
Diffusion proceeds only along grain boundaries.
An unusually high effective diffusion permeability of nano-materials at low temperatures was observed in a number of publications (see, e.g. [23-25]).