Search results

The notches were formed in the middle of the gage length to obtain stress concentration factors ranging from 2.55 to 13.34.
These values are associated, respectively, with the following stress concentration factors calculated with FE models: 13.34, 6.63, 3.10 and 2.55.
Stress concentration factors of 2.55, 3.10, 6.63 and 13.34 were investigated.
Collings: Materials Properties Handbook: Titanium Alloys (ASM International, US 1994)
Conference on the Mechanical Behavior of Materials (2011)

It was proven that the friction coefficient trace, considered as a geometric object, has the property of a fractal curve.
Wear process complexity is linked to a great number of properties and variable parameters which affect this process.
Experimental procedure The studied material (Si3N4 matrix with introduced SiC nanoparticles) was prepared at the Institute of Inorganic Chemistry of the Slovak Academy of Sciences by hot-pressing at 17500C for 2 h under a specific heating regime, atmosphere, and mechanical pressure in the form of discs with diameter of 50 mm and thickness of 5 mm [6].
For each of the curves or time series k mX , the length of the curve is defined as follows: .))1(()( ),,( 1 )( ),,( 1 2 ∑= −+−+ − = kmNn i li m li kimXikmX kkmNn N kL The term (N-1)/ nli(N,m,k)k 2 represents the normalization factor for the curve length of subset time series.
La Tavernier: Mechanical Systems and Signal Processing Vol.14 (2000), p. 459.

Various pore characteristics, such as pore size and pore shape, influence the quality and affect the intended functionality of the component.
On the one hand, the formation of these types of pores can provide valuable insights into the process conditions and influence the mechanical properties of the final product.
Nevertheless, further research should expand the current models to include a greater number of parameter variations, as well as other significant influencing factors such as powder characteristics, other manufacturing technologies and materials and additional human or process-related influences.
Attallah, Selective laser melting of AlSi10Mg alloy: process optimisation and mechanical properties development, Mater.
Manfredi, On the selective laser melting (SLM) of the AlSi10Mg alloy: process, microstructure, and mechanical properties, Materials 10(1) (2017) 76

Micro-mechanical piezoresistive accelerometer was first demonstrated in the late 1970s by Roylance and Angell [1].
Because of processing factor, piezoresistor’s resistance is different from each other.
This paper uses ANSYS software to simulate the accelerometer’s self-test property, and the FEA model is shown in fig.6.
This perhaps causes by the following reasons. 1) The piezoresistors’ practical resistance is bigger than the designed. 2) The beams will have various degree deformation caused by the residual stress. 3) Noise jamming signal will affect the testing results.
Study of Piezoresistive Micro Electro-Mechanical Accelerometer Design Platfor.

At the same time, Khloponin et al. [8] studied the mechanical properties of hot rolled coils cooled with water spray, and proved that the rapid cooling reduces hardness properties of strips but increases the uniformity along the strip.
Therefore, Peshkov et al. [9] convinces that by well-suited cooling schedules, the mechanical properties of hot rolled strips after cooling using the water-spray method make it possible to raise the coiling temperature of strips, while retaining the uniform properties of the steel, and attached the experimental verification.
Colas et al. [12] expressed a similar simplified model to predict cooling times, and found that placing a coil into still water can be a good way to decrease the storing time without affecting quality in steel in route to cold rolling, with assuming the main heat flow in a coil is along the axis.
Since other properties follow largely from the temperature field [15], naturally, determination of the thermal stress distribution is the significant step in solving shape coil deterioration.
The thermal conductivity along the axial direction is almost equal to that of the steel, although generally the thermal physical properties are the function of temperature and chemical composition of the steel coil.

There are several factors that affect fiber size and the appearance of beads on the fiber, namely viscosity, conductivity, surface tension, and others.
The CsPbBr3 perovskite exhibits high sensitivity to polar solvents, which can lead to a deterioration of its optical properties by affecting the ligands on its surface and the overall structural integrity.
Unlike thin films, the electrospinning process employed here provides a scalable approach, retaining the light-related properties of the materials.
Popa, “The Influence of Polymer Solution on the Properties of Electrospun 3D Nanostructures,” IOP Conf.
Pradhan, “Composition related structural transition between mechanosynthesized CsPbBr3 and CsPb2Br5 perovskites and their optical properties,” Journal of Alloys and Compounds, vol. 816, p. 152612, Mar. 2020, doi: 10.1016/j.jallcom.2019.152612

The results show that the morphology and width of the diffusion dissolution layer were significantly affected by the electric field strength.
They are also being increasingly used in the electronic industry for their attractive electromagnetic and thermal conductive properties [1,2].
However, poor corrosion resistance and mechanical properties limited the application of magnesium, so considerable attention has been focused on it.
A variety of factors have been shown to contribute to the current effect such as current density, current direction, current pattern, temperature [9].
It is wellknown that the relationship of the diffusion layer width h and diffusion time t is: (1) and the rate constant k dependents on the temperature T and the activation energy Q： (2) where is the pre-exponential factor, is the gas constant [3].

The Analysis of Dynamic and Static Factors In PFE.
The Influencing Factors in PFE.
Table 1 summarizes dynamic factors for SWLs (PFs).
Dynamic factor weights in PFE are calculated from top to bottom by AHP, namely the weights of underlying factors can be calculated with respect to the importance of the highest level (target level).
From the aspects of customer needs, product data, resources, and technological progress, the main factors are summarized in the design process of SWLs.

The signal and noise properties in tomograms have been measured with quantitative phantoms and the measurement results are found to conform well to the theoretical models.
The fill factor, fractional area of the photo-sensitive region in a pixel, is as high as 79 [%] in spite of the small pixel size of 50 [µm].
The predicted MTF curve (solid line) is also shown to account for the physical parameters affecting the system MTF.
The most significantly affecting parameter is the detector MTF (dotted line).
The total system MTF is affected by various physical parameters such as the focal spot size, the magnification ratio, the reconstruction algorithm, and the detector resolving power.

One of the important factors that influence the slow crack growth and thus the lifetime of the pipe are the residual stresses present in the pipe.
These properties, together with the fact, that residual stresses have the tendency to maintain their magnitude for a very long time [4], make residual stress an important factor, when it comes to service lifetime.
There’s axial residual stress too and it affects the tangential residual stress, making the magnitude higher, but this effect takes place only in longer pipes.
It was recommended to multiply the values of ΔD by a factor of (1 + µF), where F is a correction function.
FSI-S-14-2311 provided to Brno University of Technology, Faculty of Mechanical Engineering and a grant No.