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There are three types of metallic biocompatible materials: stainless steel 316L, a small number of Co-Cr alloys, titanium and some titanium alloys.
With the titanium powder, the powder granulometric distribution was determined and the aspects of the grains, given in Figures 1 and 2.
It is noticed that grain distribution focuses on classes 10 - 50 μm, the average diameter of the grain in the passing cumulative curve is d50 = 14.6 μm.
The third lot, the control group, was formed of an equal number of animals.

Fig. 1 Welded Cross-section of SS400 and STS304 according to the laser power Fig. 2 Welded Cross-section of SS400 and STS304 according to the welding speed Micro structure of Dissimilar Metal Welding In Fig. 3, in melting zone of dissimilar metal welding, the portion close to the surface of SS400 steel(A zone), the pearlite and ferrite structure are mixed with STS304 in high temperature when laser beam is irradiated and grains size of structures become coarse.
If cooling speed is fast, crystallization grain becomes fine as the number of a crystalline nucleus becomes larger and if cooling speed is slower, crystallization grain becomes larger as the number of formation of nucleus and hardness becomes lower.

The morphology and grain size of HA and Ag-HA were observed by field emission scanning electron microscopy (FESEM, JEM-6701F), and energy dispersive spectroscopy (EDS, Kevex USA) was used to characterize the chemical composition.
After that the number of colonies on each plate was counted.
Fig. 1a showed that the grain size of HA ranged from 70 to 100 nm.
Slight growth of HA grains but similar morphology was found for Ag-HA (Fig. 1b).
Fig. 1 FESEM micrographs of HA (a) and Ag-HA (b) powders Fig. 2 XRD patterns of HA and Ag-HA powders Fig. 3 FTIR spectra of HA(a) and Ag-HA(b) powders Tab. 1 Antibacterial activities of HA and Ag-HA on E. coli and S. aureus Sample Number of viable cell Bactericidal ratio [%] E. coli S. aureus E. coli S. aureus Control 3.30±0.15×107 3.80±0.20×107 0 0 HA 3.00±0.30×107 3.60±0.35×107 6 8 Ag-HA 0 0 100 100 Fig. 3 shows FT-IR spectra of HA and Ag-HA.

The grain is coarse and the grain boundary is clear.
The grain boundary of the substrate extended to the transition zone.
So the number of TiCN particle decreases overall with the distance far away the cladding layer surface.
The near-surface of the coating has the most number of TiCN because the evaporation and loss ratio of Ti and C is smaller than the outermost layer of the coating.

In the contrast, when the T is a fixed number, the S-P curve could be considered as an equation of a degree.
We also find that if we keep the S as a fixed number, the P decreases while the T increases.
Fig.4 Water cooling for five minutes Fig.5 Linear regression line of experimental Voc values of metallurgical grade polysilicon solar cells Fig.6 Comparison of linear regression line of experimental Voc values between 1 and 2 solar cells The possible reason for the phenomenon, the Voc decreases while the S increases, is that there are grain boundaries in the casting process of polycrystalline silicon ingots, it resulted in the segregation effect of metal impurities.
It is known that there is attractive interaction between the grain boundary and the metal impurities.
It led to the metal impurities deposit on the grain boundary.

As can be seen in Fig.1, microstructure of this alloy consists of α2/γ colonies and some borides distributed along grain boundaries and α2/γ interfaces.
A great number of dislocations arranges and a lot dispersive dislocations were found in the sample after IF tests at a rather lower strain rate 6.67×10-5s-1, as shown in Fig.3a-3d.
(a) (b) Fig.3 Observation of deformation structure after IF testing (650oC, εmech=0.3%, 6.67×10-5s-1) (b) (a) Fig.4 Observation of deformation structure after IF testing (650oC, εmech=0.3%, 6.67×10-4s-1) (a) (b) (c) Fig.5 Observation of deformation structure after IF testing (650oC, εmech=0.3%, 6.67×10-3s-1) When strain rate was given an amplitude upgrading, such as strain rate 6.67×10-3s-1, a great number of dislocations were found in the sample after IF tests (Fig.5a), stack fault piling up and dislocation blocked at the γ/α2 interfaces, the interaction between dislocations and stack faults within the more wider γ lamellar, the interaction between dislocations and γ/α2 interfaces, the interaction between dislocations and precipitated phases, dislocation kinking at the γ/α2 interfaces (Fig.5b), which all were important factors of leading to the hardening on the curve of cyclic strain-stress responding.
At temperatures above 600℃, creep damage gains significance and appears in form of voids on grain boundaries and grain triple points.

Depending on the material and process parameters microstructures changes may occur as a grain refinement, phase transformations, alloy formation and a mixture of composite materials on the surface without actually affecting the bulk of the material.
So the conditions found by a laser pulse depend on the previous history in that point and the effects, of course, depend on the number and characteristics of previous shots.
Figure 2 below shows such structures; it is clearly seen a harsh ablation in figure 2 a), with evidence of fusion and grains much smaller than the ones found in the original structure.
On the contrary, figure 2 b) depicts a perfect and clean withdraw of grains with no signs of thermal effects.
The higher the laser energy and pulse number, greater is the surface roughness.

The higher reduction Δh was required, the higher was the number of passes of the sheet through the rolling stand.
Suitable technological parameters for the two-high rolling stand DUO 210 SVa (suitable rolling speed vrollC, suitable force FrollC, suitable number of revolutions nrollC and other) were determined for rolled sheets made of deep-drawing steel (see Tab. 1) at the rolling speed vroll = 0,7 m∙s-1 and vroll = 1m∙s-1 by regression equations.
Table 1 – Determination of suitable technological parameters of the rolling stand DUO 210 SVa Suitable technological parameter Linear regression (explicit function) suitable rolling speed vrollC vrollC = -109.56∙Dh + 167.65 suitable rolling force FrollC FrollC = - 68.146∙Dh + 16.872 suitable number of revolutions nrollC nrollC= - 166.07∙Dh + 254.12 suitable mean arithmetic deviation RaC RaC = -0.30∙Dh + 0.97 suitable forming factor QFrollC QFrollC= 4.47∙Dh+0.47 suitable length of zonal deformation ldC ldC = 5.28∙Dh +4.56 suitable average height of the rolled sheet hsC hsC = -0.50∙Dh+2.52 suitable horizontal projection of contact surface of the rolled product with the working part of the roll ShC ShC = 191.87∙Dh+127.47 suitable surface tension ssC ssC = 4.67∙10-5+354.27Dh suitable grain size DgrC DgrC = 0.05∙(0.35+3.31 Dh) For verification of reliability of these explicit functions we used determination coefficients (reliability values), with use of which we compared
At substitution of the index relationship into regression equations the final regression equations have the following form - see Tab. 3: Table 3 – Determination of suitable technological parameters of the two-high rolling stand DUO 210 SVa at rolling of other materials Suitable technological parameter Linear regression (explicit function) suitable rolling speed vrollC suitable rolling force FrollC suitable number of revolutions nrollC suitable mean arithmetic deviation RaC suitable forming factor QFrollC suitable length of zonal deformation ldC suitable average height of the rolled sheet hsC suitable horizontal projection of contact surface of the rolled product with the working part of the roll ShC suitable surface tension ssC suitable grain size DgrC These regression equations serve as a basis for mathematical model for prediction of technological parameters of the two-high rolling stand DUO 210 SVa at the change of absolute reduction ∆h for deep-drawing steel
New way to take control of a structural grain size in the formation of nanomaterials by extrusion.

., in the meantime because of being subjected to light source and CCD camera oneself intelligent degree the influence of etc. factor, the ineluctability exists some yawp voices in the picture.For the sake of convex leak parts of pictures now, have to clean yawp voice and interference information, reserve true leakiness trace, is this, we press the following step processing:Carrying on a picture and filtering a method that processing effectively represses a yawp voice and spreads one grain-like in shape interference information and use again and lead a number to the picture first will after above-mentioned processing become misty of the picture carry on an edge and withdraw a processing, then picture ash degree the place that is worth variety Be convex to appear and finally select by examinations one and shuts a value and turn picture two values, can immediately get a true leakiness picture information that cleaned yawp voice and interference information.
Filter the Fluorescence Pictures Wave Leaks picture but speech to the fluorescence, win the effect that the value filters wave more ideal.Medium the value filter wave be use a glide window way with an odd numbers point, replace the light density value of window way central point with the medium value that each pixel inside the window way orders a light density value, that is, (1) Medium value's filtering wave is a kind of line not filter.It made use of to be worth to act for part in the part average, can overcome line under the certain condition the picture detail brought by filter(such as smooth filter wave) faintness, and to filter in addition to pulse interference and picture scan a yawp voice the most effective.
, .So we abandonned an ash degree to let up to mutate output bright grain.The concrete calculate way is as follows: (5) Where, is the edge orders. is the edge picture.
Fig.3 The hydraulic fuel tank filters Fig.4 Picture for seeping into pure device to connect pipeline The number picture collects.
[2] He Bin, Emperor horse.The number picture handles.Peking:go into people post and tele publisher, 2002

Many empirical relationships [4-7] have been reported for bulk metallic glasses, ultra-fine grain materials and particle reinforced composites.
Semi-solid technique allows to modify the microstructure from dendritic grains to globular morphology.
Etol=Es+Eb +Et+Evdw+Ee+Eh (1) In metal model, numbers of free electrons form a uniform electron cloud background to keep the electrostatic field stable.
During modeling of globular grains, the deformation during hardness test (local indentation) is lower than during compression test (total deformation) under same energy input due to lower boundary resistance of the latter.
Hardness−strength relationships in fine and ultra-fine grained metals processed through constrained groove pressing[J].