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Amongst the various materials currently employed, the Ti–6Al–4V alloy has found extensive biomedical applications due to its good mechanical properties, excellent corrosion resistance and ability for osseointegration [1].
Each component introduces different cations and anions into the electrolyte solution which consequently influences the resultant coating characteristics and properties.
The electrolyte chemistry influences the nature of the pore (open or closed) and its size distribution in the coating, the phases present in the coating, and both these factors have a bearing on the corrosion performance of the PEO coating [3].
As the electrolyte composition and concentration strongly affect the properties of the PEO coatings [4], the present study is focused on establishing an optimized electrolyte system for the development of an oxide layer on Ti-6Al-4V implant material by PEO process, in order to improve its corrosion resistance under 4.5 pH osteoclast bioresorption and 7.4 pH simulated body fluid (SBF) physiological conditions.

Thermal characteristics affecting materials’ performance as insulators.
Thermal transmittance and thermal conductivity are the properties that most affect materials’ performance.
Acoustic and other characteristics affecting materials’ performance.
Depending on core materials, thermal properties will vary.
Effect of expanded perlite on the mechanical properties and thermal conductivity of lightweight concrete. 

Inverse methods offer a powerful tool for the identification of elasto-plastic material properties of metals.
The impact factor is a parameter or a group of behavior model parameters proposed for identification.
The coefficients (, and γ) characterizing the ductile damage were made for influence factors.
The coefficients K, n, ε0 and friction f have been considered as influence factors.
Feasibility in deep drawing: optimization of material properties using response surface.

Among these materials, hollow TiO2 nanotubes that have surface area-related properties can further improve photocatalytic properties because they demonstrate a superior electron transport. 2.
Definition of TiO2 nanotubes TiO2 nanotubes (TNTs) are tubular nanomaterials and exhibit unusual strength, unique optical properties and interesting semiconducting properties.
Among these factors, a high surface area can be one of the most important factors in certain photocatalytic reactions, as a large adsorption capacity of photocatalysts can promote the reaction rate [46-48].
Comparison of textural properties between various TNTs and Degussa P25.
In summary, knowledge of electrical properties is essential in the interpretation of photocatalytic properties of TiO2.

The factor of merit of a magnet is defined by the (BH)max energy product which indicates the maximum resistance to demagnetization.
Hence, it is quite valuable to install these properties in the starting precursor.
Several routes have been proposed to develop optimized properties, namely to improve the anisotropy of a texture that is isotropic in principle.
Besides, doping of the Nd-Fe-B alloy is found of interest to generate better properties, namely the coercive field.
Kapustin: Effects of buffer layer temperature on the magnetic properties of NdFeB thin films magnets, poster Int.

Investigation into the effect of carbon and nitrogen contents of steels with an addition of chromium, nickel and manganese on their structure and properties after thermoplastic treatment has been carried out within the present study.
The structure and properties of such steels are determined by quenching and tempering cycles.
Introduction Increasing the share of alloying constituents in steel by the addition of carbon and nitrogen allows the range of modifying the chemical composition of nitrogen steels to be widened, wherever their application is desirable and will not adversely affect the capabilities of smelting and casting [1-3].
The purpose of this study was to examine the effect of nitrogen and carbon and the sum of these constituents on the formation of the structure and properties of different steel grades containing either equilibrium or over-equilibrium amounts of nitrogen.
This gives a basis for supposing that such steels will be characterized by better mechanical properties, as well as thermal stability after hardening and tempering, since silicon increases the resistance to tempering.

An Algorithm Based On SURF for Surveillance Video Mosaicing* GUO Keyou1, a YE Song2, b JIANG Huming1, c ZHANG Chunyu3, d HAN Kai1, e 1College of Mechanical Engineering, Beijing Technology and Business University, Beijing, China 2 Automotive Transportation Technology Research Center, Research Institute of Highway, National Center of ITS Engineering & Technology, Beijing, China 3 Key Laboratory of Intelligent Transportation Systems Technologies, Research Institute of Highway, Center of ITS Engineering & Technology, Beijing, China aguoky@th.btbu.edu.cn, baaron929@sohu.com, cjianghuming@126.com, dzcy@itsc.com.cn, ehankai@163.com Key words: Machine Vision; Video Mosaicing; SURF; Homography Matrix Abstract: Using the SIFT algorithm for image mosaicing is the study hotspot in recent years, which is in a wide range of applications.
SURF Algorithm Document [11] mentioned that we can extracts feature points with SURF method, which based on SIFT algorithm, used integral image for replacing image convolution, and used the mathematical properties of Hessian matrix for testing eigen values.
Although the quality of extracting feature points is affected to a certain degree, with the greatly improvement of the algorithm speed, realizing the real-time mosaicking has become possible.
Supposing I is a level in the space, whose imaging under two viewpoints are I1 , I2, making ， be any pair of corresponding points, image transformation relation is showed by formula (1) : （1） where S is nonzero scale factor, the formula for the calculation of H is as follows: （2） where H is called the homography matrix for the image (I1, I2) about level I.
According to the property of homography matrix, a good performance homography matrix allows two images to be spliced together perfectly.

If the rated temperature is exceeded over any period of time, the service life can be significantly reduced due to breakdown in insulation dielectrics and thermal fatiguing of components. [1] When the transformer winding insulation property reduces, there will have a significant impact on itsheat-conducting property.
When the temperature goes up to a limitation, it will reduce insulation property and decrease service life or even cause insulation breakdown, transformer burned to explosion.
In the long term, affected by the environmental conditions and physical or chemical effects, insulation materials’mechanical strength and electrical strength of transformers decline gradually which causes insulation aging.
Insulation aging of transformers mainly due to the chemical reaction caused by temperature, oxygen, humidity and other effects in which high temperature is a direct factor.
High hot spot temperature declines the mechanical strength and electrical strength, makes insulation strength degradation, and causes transformer fault easily.

In spite of the challenges of titanium, titanium alloy and the new composite materials, but it still as the main material of various mechanical structures in aircraft [1-3].
However, dynamic recrystallization during thermoplastic deformation leads to grain coarsening, affects parts forming process.
Simulation parameters were set as follows: the punch stroke 60mm, extrusion speed 1mm/s, 200 simulation steps, the step size 0.3mm, element numbers 8000, boundary friction factor 0.12, the extrusion temperature 20 °C.
The narrower the shear zone, the closer to the ideal of a simple deformation of shear, thus it can better control the microstructure and properties of materials.
Aluminum Fabrication, 2008,6(158):43-45 [4] Dixit M, Mishra K R S, Structure-property correlations in Al 7050 and Al 7055 high-strength aluminum alloys [J].

But when the initial velocity field had a big difference from the real velocity field, the penalty factor would be getting large enough.
Due to non-linear geometry and physics properties, the calculation time and convergence were main problems encountered in the analysis of FEM.
f f f Lf v dl φ τ= ∆∫ (9) The friction shear stress is written in equation (10). 3 s f km m σ τ τ= ⋅ = (10) Where, m is friction factor; kτ is yield shear stress.
The mesh quality is affected by the deflection, ratio of maximum length to minimum length of element side, Jacobian matrix, etc.
Wang: Journal of Mechanical Engineering Vol. 34 (1998), p. 82 [11] S.W.