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The corrosion resistance of sialons made from commercial powders (AlN, Al2O3 and Si3N4) and from powder precursor produced by carbothermal reduction and nitridation of raw aluminosilicate (pyrophyllite) in molten steel were investigated.
However, a search in commonly available literature quickly revealed that the data on this subject are rather scarce.
Experimental Two types of bulk sialon-based ceramic materials with parameter z = 3.7 were prepared: β-sialons made from commercial powders (AlN, Al2O3 and Si3N4) (C1) and from powder precursor produced by carbothermal reduction and nitridation of raw aluminosilicate, pyrophyllite with ideal composition Al2Si4O10(OH)2 (P1).
The neutron diffraction patterns of P1 and C1 sialons before the corrosion test shows, that sample C1 is in fact a pure β-sialon, while sample P1 contains also some amount of α-alumina and β-SiC. α-Al2O3 is a residuum of non reacted α-alumina from the starting mixture, and SiC is formed during the carbothermal reduction and nitridation of pyrophyllite powder [5].

The higher the porosity of a bar was, the higher relative reduction in bending stiffness the bar exhibited.
This contribution seeks to provide preliminary data on how the exposure to Hank’s solution affects the bending stiffness of bars from sintered Fe-Mn alloys.
Considering a material with a moderate porosity, the solid skeleton of which undergoes uniform corrosion at a rate no higher than a few hundreds of microns per year, and using Eq. 3 and Eq. 1, the following relation for the rate of reduction in the bending stiffness (Eq. 3) can be found (4) Here S is the real surface area of the sintered sample per unit exterior-geometric-surface area, Rcorr is the corrosion rate of the solid skeleton and A is the cross-sectional area of the bar.
According to Eq. 4, a higher porosity and less noble solid skeleton accelerate the reduction in bending stiffness of a bar.

The effects of anisotropic yield functions on local reduction of thickness are evaluated.
In this Part-II, we numerically simulate the deformation of HSS sheet in circular hole expansion and evaluate the effect of anisotropic yield functions on the local reduction of thickness in HSS sheet.
In a condition of stress ratio σx:σy = 1:2 for JSH780R, the data wasn’t obtained because a fracture occurred even in the case of the plastic strain of 0.2%.
However in detail viewing, Hill48 predicted relatively less reduction of thickness in R.D.

These data were also assessed numerically by 3D-finite element modelling.
The reduction of the mesh size as well as the increase of the mesh density are consistent with better representativeness of the experimental flow front progress in the microimpression.
Furthermore, it was found out that the short shots predicted numerically could not be precisely correlated with the experimental data.
However, these data are not conclusive, and doubts concerning the precision of numerical simulation using commercial tools still highlight the need for further work in this research area.
By minimizing the element size and increasing their density better correlation with experimental data is possible.

The literature survey indicated that only limited data were available on properties of cement-based materials containing rubber.
The literature survey indicated that only limited data were available on properties of cement-based materials containing rubber.
It depends upon the type of size reduction equipment and intended applications.
Limited data are available on the shear strength of tire chips, while little or no such data are available on the shear strength of tire shreds.
The reduction in compressive strength was approximately twice the reduction of the flexural strength.

They compared thermal conductivity data obtained by different experimental approaches for identical sample of various nanofluids.
All K-type thermocouples have 0.05 mm in diameter and were connected to a high precision data acquisition system (NI 9211 by National Instrument).
Reduction in thermal resistance reached 14% compared with the distilled water as working fluid in the same condition.
The increased concentrations of nanofluid affected the reduction of the thermal resistance of heat pipe.
Doucet, New temperature dependent thermal conductivity data for water-based nanofluids, International Journal of Thermal Sciences 48 (2) (2009) 363–371

The hardness reduction near the diffusion was examined by means of micro-hardness test.
Fig. 2(b), the distribution curve of elements is fitting from the EDS point scan data, while the dotted line represents the interface.
From the data of EDS analysis, it can be seen that the diffusion depth of Fe element of the alloy cast iron to the WC/Co cemented carbides and W element of WC/Co cemented carbides to the alloy cast iron are listed in Table 5.
Elements diffusion may cause hardness reduction of tool and workpiece, thus negative impact the processing quality.
Barin, Thermochemical data of pure substances, Science Press, Beijing, 2003

Only consider constant demand when 25 data lines, drivers and others can be found in more detail in [10].
The restrictions were fully satisfied and loss reduction obtained was of 56.91%.
This in order to determine how much varies both the optimal DG location and size and the system losses reduction.
In terms of losses reduction, results show that it remains relatively in close values: from 57 to 59%.
These show that, in general, the PF value which favors further loss reduction is 0.9 capacitive.

The XRD patterns of the rGO/Fe3O4 nanocomposite showed consistency with COD data number 3000327.
Analysis of the XRD data shows that the rGO sample displays amorphous characteristics with structural peaks identified at 2θ angles of 24.06°, 43.20°, and 77.78°, consistent with existing research [25].
The identification of these Bragg angles and planes was accomplished through refinement analysis using the Rietica software, referencing model data 3000327 from the COD [29].
The Rietveld refinement technique was employed to examine XRD data of rGO/Fe3O4 nanocomposites, specifically focusing on changes in rGO composition.
Using the Tauc equation shown in Eq. 3, researchers can calculate the bandgap energy value of the rGO/Fe3O4 nanocomposite by analyzing data obtained from UV-Vis characterization.

And, the predicted flow stress has been compared with the experimental data of Ti-5.6Al-4.8Sn-2.0Zr alloy.
Isothermal compressions were conducted in a Thermecmaster-Z simulator at the deformation temperatures ranging from 1173 K to 1333 K, the strain rates ranging from 0.001 s -1 to 10.0 s-1 at an interval of an order magnitude and the height reductions ranging from 50% to 70%.
Appling the constitutive model to Ti-5.6Al-4.8Sn-2.0Zr alloy, the material constants are determined from the experimental data using the GA-based objective optimization technique.
The selected experimental data are chosen as the sample data to determine the material constants for the constitutive model of Ti-5.6Al-4.8Sn-2.0Zr alloy in high temperature deformation.
Other experimental data are used to verify the constitutive model.