Search results

Setting each specimen on a fatigue testing machine for which only furnace cooling and aging treatments were performed or Ni-P plating was performed after zincate treatment in addition to the previous two treatments, number of repetition until each specimen raptured was obtained under various repeated tensile stress amplitude (σ) at a room temperature with stress ratio of 0 and frequency of 30Hz.
It is understood from Fig.1 that coarse string-shaped deposits have been generated evenly over the whole crystal grains with μm size on the specimen surface in case of ACF material which was cooled in a furnace down to 293K after solution treatment at 823K.
Fig.3 Relations between stress (σ) and number cycles to failure (N) for ACF materials; ○ plated or △ unplated after furnace-cooling from 823K to 293K.
Fig.4 Relations between stress (σ) and number of cycles to failure (N) for ACA materials; ○ plated or △ unplated after quenching from 823K to 293K.

Taking into account the increased primary cell reaction, there are a large number of Co(OH)2 on the foamed nickel surface and crystals grow along the direction which is vertical to (1-100) and (10-10) lattice planes (Fig. 2).
As a part of the reaction products, Co(OH)2 is not only a small number of low concentration, and even peeled off from the substrate (Fig. 1a).
The number and intensity of miscellaneous peaks increases as time increases, indicating that Cu(OH)2 crystal grows more completely and it gets sharper peaks which result from the improving of its crystal structure gradually over time.
Extension of time also helps increase the grain size of spherical Co(OH)2 and the diameter of the spheres is increasing, whose trend is increasing slowly in Fig. 5.

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.

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.

Xiangyang She et al. [7] introduced the SVM theory and method, combining with the fundamental principle of remote sensing image approximately geometric correction, employed difference GPS to measure actually ground control points coordinates, used the remote sensing image processing software to measure image coordinates corresponding to ground control points, and selected respectively different number of control points as remote sensing image geometric correction control points and the rest of the control points as check points according to clustering algorithm.
Soliman Omar S [27] by nonlinear kernel SVM algorithm presented a classification system for satellite remote sensing images obtained by ASTER satellite .Through the test and comparison on the eastern desert of Egypt the northeastern region of interest, SVM classifier constructed by RBF kernel function had the highest accuracy.For the SVM classification function, because that the number of support vector was proportional to the classification time in the nonlinear case, Habib T [28] provided four kinds of algorithm to reduce support vector, by extracting the general changes in different remote sensing images of a group, classifying the images as two kinds of conditions -----change and no change, and testing the four algorithms in the framework of changes.
Karimi Y [38] studied the possibility of extracting crop growth and biodiversity parameters from the aerial hyper-spectral remote sensing image using SVM method, showing that crop biological parameters could estimate accurately grain yield by the reflection data collected at heading stage.
Nowadays, research on the algorithm focus on improving the classification precision and improving classification efficiency, and how to reduce the number of training samples and improve the training reliability also draws a lot of attention.

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)

Structural analysis approaches Damage variable can be described according to structural analysis approaches from the point of view of geometry topology, which means the definition and calculation of rock damage variable depends on the measurement of some geometric or topological characters (e.g. number, size, shape, orientation, etc.) of micro defect in rocks by the special methods.
Although a great number of achievements have been acquired on the aspect of qualitative analysis, it is still difficult to analyze quantitatively.
RVE models for rocks have been constructed by ANSYS software, which contained kinds of pores generated according to a sequence of random numbers with a certain statistical distribution.
It is generally thought that dislocations may induce microscopic acoustic emission, while movement of grain boundaries and generation and propagation of cracks may produce macroscopic acoustic emissions.

The number reflects the coating thickness.
The composite with untreated PALF displays a large number of long pull-out fibers [12, 15].
The composites with treated PALF display a much smaller number of pull-out fibers and the pulled-out ends are much shorter.
Formela, Preparation and characterization of natural rubber composites highly filled with brewers' spent grain/ground tire rubber hybrid reinforcement, Composites Part B: Engineering 145 (2018) 182-188

This map is of great interest because it can be used as a tool to predict “as-quenched” properties of titanium alloys, independently from the number of alloying elements.
Hypothesis is made that after the nucleation of twinning embryos, the hardening is caused by the increase of the number of twins per unit volume and the thickening of these existing twins since the mismatch of the coherent twin boundary is linearly proportional to the thickness of the twins.
Additionally, the increase in the number of twins probably results in a decrease of the effective grain size and therefore increases the applied stress necessary to initiate new twins.

Under irradiation, the supersaturation in vacancy and self-interstitial can also sustain permanent fluxes of point defects towards available sinks (free surfaces, grain boundaries, dislocations, etc…).
Figure 2: Evolution of the diffusion coefficient of copper clusters as a function of the cluster size (in number of copper atoms).
Due to the large number of vacancy jumps involved in such processes, the measurement is only possible for clusters smaller than ~ 150 atoms.
For the time being, in opposition to the vacancy case and because of the large number of possible dumbbell configurations, a simpler diffusion model with constant saddle-point binding energies is used: this approximation could be improved in future work.