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The influences of material properties and interfacial morphology on the variation of residual stress during thermal cycling are considered and discussed.
We assume the body is made of an elastic/perfectly plastic material where: p ij e ijij εεε &&& += (1) The elastic strains el ijε are given by: klijkl e ij C σε = (2) where the tensor Cijkl satisfies the usual symmetry properties.
Summary of material properties K (w/mm°C) ρ (kg/mm3) µ c (J/Kg°C) TBC 0.0015 5.6 × 10-6 0.1 405 BC 0.0236 7.8 × 10-6 0.3 398 Shakedown theorem.
Model Definition and Calculation Results In order to obtain the influences of material properties on the variation of residual stress, the model is depicted in Fig.1.
Other factors that appear to be centrally related to the residual stress and stability, such as thermal expansion misfit between the bond coat and the substrate, as well as the temperature dependence of yielding will be addressed in a subsequent study.

The degradation of material properties caused by the synergetic effect of cyclic stress and corrosion pits severely affects the integrity and safety of aircraft structures [4].
A large number of studies have shown that utilizing the network to predict the fatigue behavior affected by complex factors is feasible, efficient and reliable [7, 8].
Its chemical composition and mechanical properties are shown in Tables 1 and 2 respectively.
Table 1 Chemical composition of the material Composition Al Mg Mn Fe Cr Zr Cu Zn Content (wt %) 87.1~91.25 1.8~2.8 0.2~0.6 0.15 0.1~0.25 0.1 1.4~2.0 5.0~7.0 Table 2 Mechanical properties of the material Yield strength[MPa] Tensile strength[MPa] Elastic modulus[GPa] 469 557 71.9 Fig.1 Shape and dimensions of the specimen (thickness=3mm).
The neural network method can better demonstrate its superiority especially for the complex process affected by the interacting of multifarious factors involved in actual environment.

The electrical properties of aircraft are also affected by the temperature changing.
Internal relevant scientific and research institutes have been studied the electric properties of materials with different temperature to meet the design requirements [3], but there is few research on the variation of dielectric properties with the temperature changing.
Results and Discussion The influence of temperature on the properties of materials.
The influence of permittivity on the wave-transmitting properties for radome.
But the radome can not meet the requirement of using due to that the mechanical properties were decreased seriously.

Thus, a rotational speed is another variable affecting DFT of the part.
The spray time, nozzle rotation, spindle rotation speed and their interaction are prime factors that induce the significant change to DFT.
The criteria used to determine the significant factors are the p-value.
Archives of Civil and Mechanical Engineering.
Wang: Influence of Spraying Parameters on the Microstructure and Properties of Plasma-Sprayed Al2O3/40%TiO2 Coating.

Total appearance conducts color and geometrical factors such as gloss, shape, etc.
The main factors of weathering are sunlight, temperature and moisture.
Visible light also affects many materials, and for some the visible light wavelengths can be more damaging than the shorter ultraviolet wavelengths.
Fig. 7 3D LSCM image of SUNTEST sample Fig. 8 3D LSCM image of COMBINED sample For the assessment of the effect of UV, moisture and abrasion to the mechanical properties of the covering layer was with using Elcometer performed a test of the grid adhesion (Fig. 9).
Vik: Laboratory analysis of the main properties and a color stability of a coating layers under the UV loading.

Sensors Distribution Strategies In Guided Wave Sparse Arrays Based On Defects Scattering Properties WU Bin, ZHANG Yechi, ZHENG Yang, HE Cunfu College of Mechanical Engineering and Applied Electronics Technology Beijing University of Technology, Beijing, 100124, China wb@bjut.edu.cn Keywords: Guided wave; SHM; Imaging; Array shape; Ellipse algorithm; Hyperbola algorithm Abstract.
However, some recent researches on scattering properties of guided wave in defects demonstrate that the scattered signal is un-uniform even for a circular hole.
Scattering properties of defects were studied and effects of sensors distribution strategies were presented in this paper.
The number of transducer in the array affects the imaging precision.
The angle between transducer and crack is a key factor on locating the crack.

In order to get excellent mechanical properties, deposited alloy system and alloy content are regulated according to the working conditions of the rollers.
Mechanical properties of the deposited metal may be affected by dissolving and precipitating of carbides and nitrides during arc welding.
For example, in this work changing vanadium content only partly improved mechanical properties.
In order to get perfect combination of mechanical properties, we should also make efforts in microstructure refining, composition uniformity and inclusion control, etc.
Crack length is related to many factors of deposited metals.

The mechanical properties of the precipitation hardened steel sheets depend on the precipitation state of precipitated particles.
After the hot rolling, in order to remove the scale, mechanical grinding was carried out from 3mm to 2mm thickness.
Since no significant difference of microstructure was observed in optical and EBSD observations, it is considered that this difference in mechanical properties is attributed to the precipitation state of carbides.
First of all, grain size is a factor that dominates the toughness of steel.
The mechanism of the precipitation state of carbides affecting the TS-AE balance was discussed.

The results exhibited that although the all processing parameters had a great influence on the average temperature of the slurry, heating time was the main factor affecting the maximum temperature difference of the slurry.
Other more efficient alloys with superior mechanical properties and great interest for industrial applications, such as the 7xxx series Al alloys, has been less commercially available.
In this technique, there are several key factors, such as heating power, heating time, the initial temperature of crucible and melt weight, which directly affect the temperature field of the semi solid slurry.
In addition, the variation of heating power hardly affected the radial temperature difference.
(2) Although the all the processing parameters had a great influence on the average temperature of the slurry, heating time was the main factor affecting the maximum temperature difference

To obtain frangible projectiles with appropriate mechanical properties, it is necessary to understand the compressive strength of the materials that will be used as frangible projectiles.
The presence of voids can lead to a decrease in mechanical properties by disrupting the mechanical bonding between the matrix and the reinforcing agent.
The absence of voids ensures that the mechanical bonding between the reinforcing agent and the matrix is not disrupted, thereby maintaining the mechanical properties [9].
In addition to the powder percentage, another factor that affects the viscosity of the feedstock is the density of metal particles.
However, the presence of metal powders also introduced frictional resistance, leading to an increase in viscosity, which made the feedstock less stable and adversely affected its rheological properties.