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Then the test bodies were subjected to determining physical and mechanical properties and physical and chemical characteristics: Physical and mechanical parameters: - Determination of increase of initial strengths (methodical procedure acc. to ČSN EN 14488-2), - Determination of specific density (ČSN 722447), - Determination of tensile strength at bend (ČSN 722450), - Determination of compression strength (ČSN EN 12190).
As regards the rise of initial temperatures, the developed material can meet the requirements placed on Sector J2 and the accelerating admixture is not the factor that would adversely affect the composite resistance to extreme temperature effects.
The positive effect of the presented measures on resistance to high temperature effects can be documented in the developed composite by comparing its properties with a commonly used sprayed concrete.
At higher temperatures the mechanical properties of the standard shotcrete are very low with its practically total destruction.
However, at extreme temperatures (i.e. 1000°C or 1200°C), the mechanical properties of this composite are significantly decreased.

The depth of grinding, feed speed and grinding speed are three independent factors affecting grinding force [4].
In Ref.4 we had measured the grinding force and considered that feed speed was the major factor affecting grinding force.
Surface roughness is an important factor that shows the surface auality of ceramic tile, so surface roughness Ra of edges must be measured after grinding.
As a result, lower surface roughness of ceramic tile can be obtained by reducing the depth of grinding and adding the groups of diamond cup wheels in actual production. 50µm 50µm 50µm a. ap=0.4mm b. ap=0.5mm c. ap=0.6mm Fig.6 The surface morphology of polished ceramic tile in different ap Conclusions Although many problems in the surface properties of polished ceramic tiles need to be studied further, some results can be provided as follows
The depth of grinding and feed speed affect the surface roughness Ra of ceramic tile.

Factors Influencing the MTC and its realization methods have always been of concern to many researchers.
Afterwards, they used molecular dynamics simulation method to study the MTC and the influencing factors.
Yuan and his colleagues using diamond cutting tool to machine aluminum alloy material suggest that the MTC has a relationship with edge radius, material properties, the cutting process and so on.
It pointed out that the MTC is related to the actual cutting parameters and changes with edge radius, the cutting parameters, and the material properties.
There are many factors affecting surface roughness, such as specific processing parameters, surface residual height, the DMTC, elastic recovery, different phrases of burr height, and so on.

A Review About Condensation Heat Tansfer with Non-condensable Gases Junxia Zhang1, a, BinyaoGong 1, b 1 School of Mechanical and engineering, Yulin University, Yulin, Shanxi Province, 719000, China awyb700411@163.com, b gby56@sohu.com Keywords: Condenation, heat transfer, Non-condenable gases, review Abstract.
Factors to affect condenation with non-condensable gases Downward flowing condensation Some researches experimentally and theoretically revealed that effects of non-condensable gses on condenation of vapor and factors to affect condensation with non-condensable gases, including geometric shape of condensing surface, flowing pareameters of fluids and various kinds of non-condensable gases.
Lee et al [11] correlated a degradation factor of counterflowing condensation in the U-shape tuce as both mass fraciton of non-condensable gases and mass rate of condensate.
Wang and Tu[17] numerically concluded that non-condenable gases have more effects on laminar condenation heat transfer as compared with turbulent condenation heat transfer, and more obviously affects condenation heat transfer at low pressure.
Surface property effects on dropwise condensation heat transfer from flowing air-steam mixtures to promote drainage.

Ceramic that has lower solubility, low melting point and easy forming begins to use in the 1960s and 1970s, and people paid attention in it for a long time, but it just use for coating at present because of low mechanical properties [13].
Laser Rapid Prototyping 1 High density, high strength, high efficient and high precision 2 Time-saving, low cost and direct forming Expensive, difficult operation and high maintenance cost. 5 Surface Modification As everyone knows, materials, design and manufacturing technology are not the only factors affecting the success rate of the dental implant operation, the surface properties of materials also have huge effect on the long-term performance for dental implant.
A vast experimental researches have demonstrated that sandblast, acid etching, electrochemical treatment and thermal spraying can improve Mechanical properties and biocompatibility[42-44].
A number of factors will make an effect on biocompatibility, such as host genetic factors, implant position and the implant environment, structure, shape, size, surface roughness of materials[46-49].
The effect of heart cerebrovascular disease psychological factors on the oral cavity repair for old people[J].

The grain size composition of ashes, their structure, and particle behavior plays the important part in the formation of mechanical-and-physical properties of products at all production stages, i.e. starting from processing and casting to burning.
Thin water films in raw brick specimens have a specific structure and mechanical-and-physical properties which are close to the those of the solid aggregative state [11].
The content of raw materials in the mixture must satisfy the required mechanical-and-physical properties of both the raw brick and the end ceramic product.
After burning, ash-ceramic specimens were cooled for 10 h, and their principle mechanical-and-physical properties were studied.
Modified bottom-ash waste affecting burned ceramic products, Vestnik TSUAB. in Russia. 4 (2013) 156-159.

In automatic processing,tool wear directly affects the mechanical processing quality and efficiency, it is necessary to monitor realtime tool wear [1,4]; the study [2] have shown that tool wear increase with the increase of spindle motor current; the paper [3] has established mathematical model between the spindle motor current and cutting parameters.
Therefore, spindle motor current’s changes by online monitoring can indirectly deduce the wear of the tool[4], This detection method is easy to apply simply and conveniently and fastly, and has anti-interference ability, and does not affect the environmental of processing and the normal use of the machine.
TNL-500 CNC lathe (made in Korea) is selected as the test tool, 40Cr alloy steel whose chemical composition shown in Table 1 is used as try cutting specimen materials, because Chromium steel has good mechanical properties and impact toughness, grade YT14, model 31305A carbide turning tools is fit to cut and no cutting fluid is used to cool.
The orthogonal experimental design is reasonable because this test is a four-factor three-level orthogonal test.
spindle speed n feed rate vf cutting depth ap tool diameter d [r/min] [mm/min] [mm] [mm] 1 200 20 2 14 2 300 30 3 16 3 400 40 4 18 The difference between the mathematical model built and the actual model exists inevitably because of the influence of test conditions and other factors, it is necessary for the accuracy or reliability of the results to use the method of statistical tests.

This is due to the special properties of materials with shape memory.
Conclusion The analysis showed that the main factors that determine the reliability of the products are: adhesion, wear-resistance, micro-hardness, fatigue strength.
The structure, phase transformations and properties.
Study tribological properties of NiTi.
Mechanical and Tribological Properties of the Composition “Steel - nanostructured Surface Layer of a Material with Shape Memory Effect Based TiNiCu”.

Correlations and joint probability distributions including all observed properties are better tools for describing the first group.
Such simple differentiation may be complicated by a linear relationships between quantitative factors.
We can influence on some agents, some of them are only observed by us and some factors remain unknown.
How data uncertainty may affect the final results?
Radek, Determining the Operational Properties of Steel Beaters after Electrospark Deposition, Eksploat Niezawodn (2009) (4) 10-16

There are many factors influence the risk of proximal femur fractures, which could be divided mainly into two groups named the inner factors and the extra factors [2].
Bone is a kind of anisotropic and inhomogeneous material and its properties vary among individuals.
However, it has been demonstrated that the differences between isotropic and orthotropic material properties assignments are small [10] and in order to reduce the difficulty of defining the material properties, proximal femur in this paper was assumed to be homogeneous, isotropic, linear elastic with Young’s modulus 10 GPa and Poisson’s ratio 0.3.
Fardellone, Extraskeletal risk factors for fractures of the proximal femur, Joint Bone Spine 71 (2004) 14–17
Morgan, et al, Comparison of the elastic and yield properties of human femoral trabecular and cortical bone tissue, J.