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Additional characteristics of that kind of metal forming processes are the good surface quality and a homogeneous grain structure of the formed parts.
Therefore, by using micro laser polishing the functional properties even of grained surfaces can be improved.
The remaining data represents the adherent material, which is quantified via a histogram analysis showing the number of detected pixels for each height increment (Fig. 6).

Austenization at higher temperature leads to formation of retained austenite and grain growth which can reduce the hardness of the final product.
Figure 2. a) Measured temperature by IR camera: numbers 1 to 4 represent isotherms of 630 ◦C, 680 ◦C, 880 ◦C, and 1100 ◦C, b) Temperature field at a node with the distance of 13.8 mm from the laser scanning starting point and c) FE predicted thermal history of that point at laser and tool side.
A higher austenization temperature leads to formation of larger austenite grains during the heating process, which can result in formation of more, soft retained austenite in the martensitic structure.

Furthermore, the preferred orientation of the atomic planes was determined by texture coefficient (TC) [18]: (8) where Ihkl is the measured integrated intensity, Io,hkl is the relative integrated intensity from the JCPDS card, and n is the number of diffraction peaks.
The grain growth of ZnO can occur at 900 oC or higher [21] and the annealing could reduce the strain in ZnO particles [22].
Therefore, the increasing of crystallite size was from the grain growth and the decreasing of strain was from the annealing effect.

Moreover, the number of voids in fracture increases with increasing strain rate.
Previous studies[12~13] showed the diffusion speed of slip lines is far behind that of load increase, so it is hard for them to penetrate the whole grains, which means the stress has been on the rise before the macroscopic plastic deformation comes out, leading to the elevation of yield strength.
In addition, a small amount of slip terminated inside the grains, which maybe contributes to the decrease of ductility.

When grits and other hard grains are absorbed into compressor, the whole performance of engine could be easily degraded due to the corrosion of blade [1].
Scour abrasion is caused by the impact of airflow which is filled with solid grains against blades in a certain velocity and angle.
Table 1 Species and ratios of epoxy-amine-polyamide coating system Number Coating System Ratio 1 (Epoxy resin 601+amino resin A):Polyamide 115 (50+10)：10 2 (Epoxy resin 601+amino resin A):Polyamide 115 (50+10)：5 3 (Epoxy resin 601+amino resin B):Polyamide 115 (50+10)：10 4 (Epoxy resin 601+amino resin B):Polyamide 115 (50+10)：5 5 (Epoxy resin 601+amino resin C):Polyamide 115 (50+10)：10 6 (Epoxy resin 601+amino resin C):Polyamide 115 (50+10)：5 7 (Epoxy resin 601+amino resin D):Polyamide 115 (50+10)：10 8 (Epoxy resin 601+amino resin D):Polyamide 115 ((50+10)：5 9 (Epoxy resin 601+amino resin E):Polyamide 115 (50+10)：10 10 (Epoxy resin 601+amino resin E):Polyamide 115 (50+10)：5 11 (Epoxy resin 601+amino resin A):Polyamide 125 (50+10)：10 12 (Epoxy resin 601+amino resin A):Polyamide 125 (50+10)：5 13 (Epoxy resin 601+amino resin B):Polyamide 125 (50+10)：10 14 (Epoxy resin 601+amino resin B):Polyamide 125 (50+10)：5 15 (Epoxy resin 601+amino resin E):Polyamide 125 (50+10)：10 16 (Epoxy resin 601+

Fig.1 Fig.1 Workpiece geometry in interrupted cutting tests (note that slot number was varied to obtain specified frequencies of interruption) Table 1 Chemical composition of GCr15 steel (W%) C Mn Si S P Cr Mo Ni Cu Ni + Cu 0.95-1.05 0.25-0.45 0.15-0.35 ≤0.025 ≤0.025 1.40-1.65 ≤0.10 ≤0.30 ≤0.25 ≤0.50 CNC turn machine.
The two PCBN inserts were marked as PCBN 169T and PCBN 169S (equivalent to 1 and 2 µm average grain size of original cubic boron nitride).
At 160 m/min, for PCBN 169S and PCBN 169T, the CBN grains can be broken along the cleavage plane in a severe wear process and then produce cleavage wear.

However, as the number of the domains become large, this model will complicate the relationships among the domains, and may also result in huge cost even through a tiny change on topology structure or role configuration.
The main difficulty caused by this is how to achieve fine-grained authorizations as well as dynamic access control decisions.
The model can flexibly express the fine-grained authorization strategy by combining these attributes and limiting their value ranges.

In practical application, due to land function number of different cities or different development stage of the same city may be different; the information entropy of land use structure is often a lack of comparability.
Descriptive statistics of Land use change driving force Code Factor 2003 2004 2005 2006 2007 2008 X1 Total population[Million yuan] 9125 9180 9248 9309 9367 9417 X2 Urban population[Million yuan] 2833 2951 3147 3228 3436 3532 X3 Highway Freight Traffic[km] 76266 77768 80132 204911 212236 220687 X4 Per capita net income of farmers[yuan] 3150 3507 3931 4368 4985 5641 X5 Fixed asset investment[Billion yuan] 5328.44 7629.04 10541.87 11136.06 12537.02 15435.93 X6 GDP[Billion yuan] 12078.15 15021.84 18516.87 22077.36 25965.91 31072.06 X7 Accounted of second industry[%] 53.70 56.50 57.40 57.70 56.91 57.00 X8 The first industrial output value[Billion yuan] 1480.67 1778.45 1963.51 2138.90 2509.14 3002.65 X9 The tertiary industry output value[Billion yuan] 4112.43 4764.70 5924.74 7187.26 8680.24 10367.23 X10 Total retail sales of social consumer goods[Billion yuan] 4644.86 5290.50 6166.94 7217.13 8607.45 10658.76 X11 Agricultural structure ratio[%] 55.10 54.80 54.40 56.30 54.64 51.59 X12 Grain yield
Table5.Component matrix figure Element 1 2 Total population .996 .077 Urban population .991 .039 Highway Freight Traffic .889 .186 Per capita net income of farmers .996 -.072 Fixed asset investment .989 .028 GDP .998 -.038 Accounted of second industry .649 .588 The first industrial output value .988 -.136 The tertiary industry output value .994 -.073 Total retail sales of social consumer Goods .986 -.147 Agricultural structure ratio -.594 .747 Grain yield .957 .225 According to the table5 of SPSS matrix, principal component 1 and regional GDP, the total population, per capita net income of farmers, three times industry output value, non-agricultural population, social fixed assets investment were highly positive correlation, so principal component can come down to economic factors and demographic factors.

Table 1 Coal roadway surrounding rock distribution Name Rock type Thickness Lithologic characteristics Main roof Fine-grained sandstone 3.19 m Gray black, mainly contain quartz, feldspar, also with mica and plant fossil fragments.
Main floor Medium-grained sandstone 8.69 m Gray, mainly contain quartz, feldspar, also with scrap mica, with horizontal bedding.
a1 ≤ nQ1 / [ B1H1γ - ( 2Q sinθ ) / a ] (6) Where a1 is anchor cable spacing, B1 is the maximum falling width of roadway, H1 is the maximum falling height of roadway, γ is rock mass density, a is row spacing of bolt, Q is anchorage force of bolt, Q1 is ultimate bearing capacity of anchor cable, θ is the angle between corner bolt and roof, n is the number of anchor cable.

Materials and Methods In order to compare the role of the filler in the cellular concrete structure formation, an experiment, in which finely ground quartz sand, fly ash from Novocherkassk regional power station, expanded clay dust and soft chalk from the Lysogorsk deposit crushed to a maximum grain size of 2.5 mm,was carried out.
When conducting research with soft chalk, it was revealed that vigorous mixing of chalk slip in a turbulent mixer leads to additional and very significant dispersion of chalk particles, and this allows, when preparing a carbonate filler, to limit the results only to fine crushing of the rock to grains no more than 2.5 mm.
The kinetics of the collapse of the cavity and its subsequent division into a huge number of small bubbles are determined by the type of aggregate, the mixing mode and rheological characteristics of the slip [5, 7].