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Online since: October 2024
Authors: Farhan Farhan, Sahar Noor, Abdul Shakoor
According to the American Academy of Orthopedic Surgeons, the number of procedures performed in the United States is expected to increase to at least 750,000 per year by 2025.
Consolidation of UHMWPE, which is a diffusion-limited process, needs adequate time at high temperatures and pressures to allow the molecular chains to move across grain boundaries.
"KNEE REPLACEMENT SURGERY BY THE NUMBERS.
"https://www.thecenteroregon.com/medical-blog/knee-replacement-surgery-by-the numbers (accessed 2022)
Consolidation of UHMWPE, which is a diffusion-limited process, needs adequate time at high temperatures and pressures to allow the molecular chains to move across grain boundaries.
"KNEE REPLACEMENT SURGERY BY THE NUMBERS.
"https://www.thecenteroregon.com/medical-blog/knee-replacement-surgery-by-the numbers (accessed 2022)
Online since: February 2006
Authors: Rosa Piotrkowski, Antolino Gallego, Jose F. Gil, J.M. Vico, Enrique Díaz Barriga-Castro, J.E. Ruzzante
The well known
Zn-Fe phases gamma (very thin), delta
(well defined and homogeneous), zeta
(columnar grains) and eta (almost pure
Zn), were observed from steel to Zn.
The five parameters that were recorded in our experiments were number of counts, amplitude, duration, rise time and energy, in the sense of MARSE energy (MARSE: Measured Area under Rectified Signal Envelope).
In this paper, in order to calculate the cumulants, an unbiased estimator has been used, with a cumulant lags number equal to N/10, with N being the number of data of s(n).
The five parameters that were recorded in our experiments were number of counts, amplitude, duration, rise time and energy, in the sense of MARSE energy (MARSE: Measured Area under Rectified Signal Envelope).
In this paper, in order to calculate the cumulants, an unbiased estimator has been used, with a cumulant lags number equal to N/10, with N being the number of data of s(n).
Online since: March 2007
Authors: Patricia Donnadieu, Alexis Deschamps, Philippe Maugis, Fabien Perrard, Françoise Bley
The resulting microstructure consists of small ill-defined
grains (~3 µm), with a very high dislocation density due to the fast austenite to ferrite
transformation during cooling.
SANS has been used to obtain a quantitative measurement (averaged on a very large number of precipitates) of their size and volume fraction as a function of time and temperature of heat treatment.
A certain number of hypothesis will be used in this model : - Precipitates are stoichiometric NbC, whose thermodynamics is given by a simple solubility product.
The variation rate of the precipitate number density equals the nucleation rate Jn : ∆ − ρ β== ∗ ∗ kT G exp b ZJ dt dN Het n g&n (1) where Z and β* are the Zedldovich factor and the critical solute attachment rate, whose expressions can be found in [5], ρ is the dislocation density, b the Burgers vector, and ∆G * Het is the nucleation barrier.
SANS has been used to obtain a quantitative measurement (averaged on a very large number of precipitates) of their size and volume fraction as a function of time and temperature of heat treatment.
A certain number of hypothesis will be used in this model : - Precipitates are stoichiometric NbC, whose thermodynamics is given by a simple solubility product.
The variation rate of the precipitate number density equals the nucleation rate Jn : ∆ − ρ β== ∗ ∗ kT G exp b ZJ dt dN Het n g&n (1) where Z and β* are the Zedldovich factor and the critical solute attachment rate, whose expressions can be found in [5], ρ is the dislocation density, b the Burgers vector, and ∆G * Het is the nucleation barrier.
Online since: December 2024
Authors: Xue Jiang, Nian Li, Xiao Mei Jiang, Zhen Guang Hu
Fine-grained materials typically exhibit higher strength because smaller particles provide a larger surface area, which promotes a more comprehensive chemical reaction and more uniform gel phase formation.
An appropriate amount of metakaolin significantly enhances the adsorption effect, as it promotes the formation of a large number of internal gel phases, which interconnect and fill the pores, reducing the pore size and thus improving the adsorption performance.
However, when the molar ratio exceeded 2.2, the excess phosphoric acid reduced the number of groups within the gel phase, resulting in fewer adsorption sites and affecting the adsorption effect.
In the initial SEM image, (a) shows stacked lamellae, (b) presents a granular or irregular structure, while (c) shows a smooth surface containing a large number of gel phase particles that fill in the unevenness.
An appropriate amount of metakaolin significantly enhances the adsorption effect, as it promotes the formation of a large number of internal gel phases, which interconnect and fill the pores, reducing the pore size and thus improving the adsorption performance.
However, when the molar ratio exceeded 2.2, the excess phosphoric acid reduced the number of groups within the gel phase, resulting in fewer adsorption sites and affecting the adsorption effect.
In the initial SEM image, (a) shows stacked lamellae, (b) presents a granular or irregular structure, while (c) shows a smooth surface containing a large number of gel phase particles that fill in the unevenness.
Online since: July 2016
Authors: Hong Qiang Ru, Wei Wang, Xin Yan Yue, Cui Ping Zhang, Ru Peng He, Wei Kang Sun, Jing Hui Zhu
Number
TiB2 [%]
C [%]
1#
100
0
2#
96
4
3#
94
6
4#
92
8
5#
90
10
Results and discussion
Phase composition.
Number C contents (wt.%) Components of TiB2-SiC-Si composites (vol%) TiB2 SiC Si 1# 0 62.9±3.5 0 37.1±2.4 2# 4 52.6±2.7 12.0±4.6 35.4±4.3 3# 6 48.5±3.4 21.2±3.6 30.3±3.2 4# 8 47.1±2.0 25.9±3.9 27.0±2.9 5# 10 46.9±5.1 30.0±2.3 23.1±5.0 Furthermore, it can be seen from Fig. 2 that, the amount of generated SiC particles increased with increasing C contents.
For the composites with C addition, the surface were rougher and a large number of nano-sized SiC particles were observed on the fracture surface, which are favorable to the elevation of the mechanical properties of the composites.
Hefetz, Effect of grain size on elastic modulus and hardness of nanocrystalline ZrO2-3 wt%Y2O3 ceramic, J.
Number C contents (wt.%) Components of TiB2-SiC-Si composites (vol%) TiB2 SiC Si 1# 0 62.9±3.5 0 37.1±2.4 2# 4 52.6±2.7 12.0±4.6 35.4±4.3 3# 6 48.5±3.4 21.2±3.6 30.3±3.2 4# 8 47.1±2.0 25.9±3.9 27.0±2.9 5# 10 46.9±5.1 30.0±2.3 23.1±5.0 Furthermore, it can be seen from Fig. 2 that, the amount of generated SiC particles increased with increasing C contents.
For the composites with C addition, the surface were rougher and a large number of nano-sized SiC particles were observed on the fracture surface, which are favorable to the elevation of the mechanical properties of the composites.
Hefetz, Effect of grain size on elastic modulus and hardness of nanocrystalline ZrO2-3 wt%Y2O3 ceramic, J.
Online since: February 2026
Authors: Rostand Moutou Pitti, Loic Chrislin Nguedjio, Florelle Mafogang Mbekou, Pierre Kisito Talla
Introduction
The potential of African forests is well established, particularly in Cameroon, which has the largest
forest area in Central Africa after the Democratic Republic of Congo, with a significant number of
recorded species [1].
Recent literature presents fractional models as the most suitable rheological models for mastering the viscoelasticity of composites, particularly due to their reduced number of parameters and their hereditary nature, which closely resembles that of wood [9].
It is recognized by its straight trunk, sometimes twisted, with a moderately fine grain (see Fig. 1a).
Our model also has an advantage over the fractional Maxwell model with constant order, which uses the same number of elements, as it exhibits a stronger memory effect.
Recent literature presents fractional models as the most suitable rheological models for mastering the viscoelasticity of composites, particularly due to their reduced number of parameters and their hereditary nature, which closely resembles that of wood [9].
It is recognized by its straight trunk, sometimes twisted, with a moderately fine grain (see Fig. 1a).
Our model also has an advantage over the fractional Maxwell model with constant order, which uses the same number of elements, as it exhibits a stronger memory effect.
Online since: June 2013
Authors: Ling Ling Lu, Chen Guang Huang, Xi Wang
The relation between the strain of a structure and the external load can be written as:
(1)
where N is the node number, D is the direction of strain, f is the load and αND is a parameter related to the geometry, the material properties and the deformation stages of the structure.
Here we proposed an alternative parameter to DGNS to overcome this issue in practice, which is the differential of strain contour density (DSCD) and defined as: (6) where, θND is the strain contour density (SCD) of node N; εmaxD, εminD, εMAXD, εMIND are local and global maximum and minimum strains as shown in Fig. 11; M is the number of contour lines.
The horizontal and vertical coordinates are pixels, and the value in the caption represents the differential number of contour line compared with the reference.
Monitoring the fatigue-induced damage evolution in ultrafine-grained interstitial-free steel utilizing digital iamge correlation.
Here we proposed an alternative parameter to DGNS to overcome this issue in practice, which is the differential of strain contour density (DSCD) and defined as: (6) where, θND is the strain contour density (SCD) of node N; εmaxD, εminD, εMAXD, εMIND are local and global maximum and minimum strains as shown in Fig. 11; M is the number of contour lines.
The horizontal and vertical coordinates are pixels, and the value in the caption represents the differential number of contour line compared with the reference.
Monitoring the fatigue-induced damage evolution in ultrafine-grained interstitial-free steel utilizing digital iamge correlation.
Online since: September 2013
Authors: Jing Chen, Jing Zhao, Yao Li Zhang
At present, quality problem emerge in endlessly in our country’s all kinds of goods, and the number of claim for quality also has substantially increased.
By visiting dairy farms, I discovered that the quality safety of raw milk displays in two aspects mainly: one is physical-chemical indexes, the protein content and the fat content and other indexes of raw milk must reach the national criterion; the other is hygiene index, the total bacteria numbers and drug residue other indexes of raw milk must meet the national standards in the control area.
The Feed Factor At present stage, the feed of dairy cow in our country mainly includes grain, crops by-products, straw and a little native grass, the usage of fine gramineae and leguminosae herbage is very low.
The Factor of Transportation and Storage Link The unsafe factors in transport include: bad thermal insulation performance of transport vehicle cause the temperature rise of fresh milk, accelerating microbial proliferation, the phenomenon that bacterial counts exceed standard and rancidity; the bacterial colony base number of milk is very large, the storage temperature of milk is very high, failing to cool the milk in time, these will make the raw milk deteriorate soon; not thorough cleaning of milk can and the lining of transport vehicle’s tank, not timely transportation of milk, these all will lead to serious microbial contamination; the adulteration and falsification phenomenon without supervision [9].
By visiting dairy farms, I discovered that the quality safety of raw milk displays in two aspects mainly: one is physical-chemical indexes, the protein content and the fat content and other indexes of raw milk must reach the national criterion; the other is hygiene index, the total bacteria numbers and drug residue other indexes of raw milk must meet the national standards in the control area.
The Feed Factor At present stage, the feed of dairy cow in our country mainly includes grain, crops by-products, straw and a little native grass, the usage of fine gramineae and leguminosae herbage is very low.
The Factor of Transportation and Storage Link The unsafe factors in transport include: bad thermal insulation performance of transport vehicle cause the temperature rise of fresh milk, accelerating microbial proliferation, the phenomenon that bacterial counts exceed standard and rancidity; the bacterial colony base number of milk is very large, the storage temperature of milk is very high, failing to cool the milk in time, these will make the raw milk deteriorate soon; not thorough cleaning of milk can and the lining of transport vehicle’s tank, not timely transportation of milk, these all will lead to serious microbial contamination; the adulteration and falsification phenomenon without supervision [9].
Online since: July 2014
Authors: Andrey Yurevich Barbin, Vladimir Vladimirovich Molodtsov
For drilling, milling and boring multipurpose machines, the volumetric efficiency of cutting Q in cm3/min can be found using the following equations:
Milling
Boring
Drilling
Dependency between average value of power consumption – P, kW, and cutting parameters for these operations can be described by the following equations:
Milling
Boring
Drilling
where t - is cutting depth, mm; B - is width of machining, mm; - is feed per minute, mm/min; sn - is feed per revolution, mm/rev; vc - is cutting speed, m/min; D - is tool diameter, mm; - is specific cutting force, N/mm2; sz - is feed per tooth, mm; n - is spindle rotation speed, rpm; zc - is number of teeth of milling cutter; - is average thickness of chips; h0 - is base thickness of chips (in most cases 1 mm); Cp - is an empirical factor depending of properties of material being machined; m - is exponent (≈ 0.2…0.3 for different materials) [4].
In the first case, at low machining speeds performance is achieved by increasing of cutting depth, feed per tool tooth, number of tools (and, consequently, tool size).
This was made possible by development of new machining materials (small-grain hard alloys with coatings, different kinds of ceramics, super-hard materials).
During milling, increasing of diameter makes it necessary to decrease number of teeth of the tool in order to limit cutting force.
In the first case, at low machining speeds performance is achieved by increasing of cutting depth, feed per tool tooth, number of tools (and, consequently, tool size).
This was made possible by development of new machining materials (small-grain hard alloys with coatings, different kinds of ceramics, super-hard materials).
During milling, increasing of diameter makes it necessary to decrease number of teeth of the tool in order to limit cutting force.
Online since: July 2011
Authors: X.L. Liu, Z.R. Pang, W.S. Wang
In this paper, accord to effect of CBN abrasives in vitrified wheel, eight kinds CBN abrasives were analyzed for its room performance, microcosmic crystal photographs, high temperature performance and corrosion resistance, by right of single grain pressure-resistant intensity apparatus, SEM and DTA etc advanced apparatus.
However, No.8# abrasive size is only two size number smaller than No.1 # and No.2 # abrasive, its static press strength which has reached 5.06(kg) is still more advantage than others.
However, No.8# abrasive size is only two size number smaller than No.1 # and No.2 # abrasive, its static press strength which has reached 5.06(kg) is still more advantage than others.