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In the calculation of Ball Nose Milling Cutter Deformation Analysis, the tool is usually assumed to a cantilever, This paper mainly against the bending deformation of the ball head cutter in the x, y direction, establish generic milling force model using different processing material properties [6]: (1) is a general term to the milling force;is a coefficient that reflect material properties, cutting tools and machine;is a cutting speed;is Cutting width;is cutting depth;is the rate of feed; is undetermined coefficient.
The properties of tool diameter, tool number of teeth and other attributes are reflected in the milling force coefficient.
Using the cutting simulation function of the AdvantEdge software can simulate the cutting tool’s milling force, cutting heat and tool wear during the cutting process For solving equation (1) where have the undetermined coefficient, conduct a statistically orthogonal simulation, processing objects in accordance with the four factors,4 level orthogonal table.
Conclusion Through the study and analysis of influencing factors on spherical end milling force, established a cutting force model by using the AdvantEdge FEM simulation analysis software and conduct Orthogonal cutting simulation experiment method for analysis and numerical calculation. used XH715 processing center for experiments, the experimental results show that the simulation model can make the cutting force simulation accuracy of about 10%.
Mechanical science and technology, 2005, 24(3): 269-272.

The measured shrinkage strains of hardening concrete - (the apparent shrinkage strain) depend on a number of factors that can be summarized in three groups.
The sand properties from volcanic tuff are presented in Table. 1.
The volcanic tuff sand properties
Other factors also affect the shrinkage of lightweight concrete: the increased content of cement paste and the finest fractions (less than 0.14 mm) in the composition of sand from natural porous rocks [9].
Piradov, Structural properties of lightweight concrete and reinforced concrete, Stroyizdat, Moscow, 1973

The effects of injury, the number of fixated segments and the configuration of the fixator, have demonstrated complex mechanical interactions between the fixator and host spinal segment.
These internal loading mechanisms will affect the behavior of the instrumented spine [3].
We compared the mechanical performance of a spinal pedicle screw system with that of computer simulations using finite element method for validating the finite element model and finding critical design parameters affecting fatigue.
Table 1 Material properties of Pedicle Screw Assembly and UHMWPE Block Part Material Young's Modulus (MPa) Poisson's ratio Compressive yield Strength (MPa) UHMWPE Block Polyethylene 1.11e+3 0.42 - Pedicle Screw Assembly Ti6Al4VELI 1.1e+5 0.33 795 Methods We compared both the experimental result of Pedicle screw assembly and the results of computer simulation by FEM in order to examine the usability of the methodology and to obtain design variables, fatigue yield, available life, and other design variables needed to develop a new model.
[2] Shigley J: Mechanical engineering design (New York, McGraw Hill, 1977)

The dielectric properties of the samples were investigated at frequency range of 20 – 106 Hz.
The trend of dielectric properties for CCTO sample is in agreement with several reports in literature [9, 13].
The phase structure, microstructure and dielectric properties of the fabricated samples were measured.
Thongbai, Improved dielectric properties of (Y+Mg) co-doped CaCu3Ti4O12 ceramics by controlling geometric and intrinsic properties of grain boundaries, Mater.
Hong, Effect of Al doping on the electric and dielectric properties of CaCu3Ti4O12, J.

This paper employs pre-existing cracks in frozen PMMA (polymethylmethacrylate plastic) which are produced by the mechanical method to analyze the evolution of the boundary effect of PMMA and to study the mechanisms of cracks growth and coalescence.
Introduction The interior cracks defect of brittle material cause high concentration of stresses which may affect the mechanical properties of materials.
In these experiments, 3-D cracks are prefabricated in PMMA, then by uniaxial compression, this paper analysis the main factors of them.
Refrigerated PMMA has similar properties to brittle material and can easily be observed [2].

The reasons for its spread were very diverse, from social and historical factors, to economic and technical.
GFRP mechanical properties vary depending on the fiber volume, the resin type, the fiber orientation, quality control, manufacturing process, etc.
Mechanical properties of GFRP are also affected by the type of the applied load, duration, temperature and humidity.
In general, the main properties of GFRP bars are good resistance to electrochemical corrosion, high strength-to-weight ratios, outstanding durability, ease and speed of installation and the ability to tailor mechanical properties.
Structural and durability properties of hydraulic lime-pozzolan concretes.

Moreover, factors such as temperature, pressure, and operational conditions, if not corrected, will be able to affect and promote the likelihood of failure in this mechanism [5].
Table 1 shows the material properties of the material ASME SA 178.
Table 1 Mechanical properties of ASME SA 178 [12].
Mechanical Properties of Materials Value Unit Modulus Young (E) 130 [Gpa] Poison's ration (ϑ) 0,25 - Hardness, Rockwell B 77 [HRB] Yield Strength (σy) 179 [MPa] Tensile strength (σB) 324 [MPa] Shear Modulus (S) 70 [GPa] Microstructure Analysis.
Analysis of the Stress Intensity Factor.

The factors effecting alkyl-capping rate were discussed.
In China, the researches on alkyl-end-capped polyethers have been relatively insufficiency, and the existed reports [7] have been mainly focused on the synthesis and properties of block copolymers instead of random copolymers of EO and PO.
In this article the preparation of double alkyl EO/PO random polyether was reported and the effects of factors on alkyl-capping rate were discussed.
The first step is crucial to the second step, it can affect the end-capping rate.
Table3 shows that dripping speed for alkylation agents affect the end-capping rate with different degrees.

In prestressed structures, the potential consequences of steel corrosion are much more serious than in reinforced concrete, since strands are subjected to high mechanical stresses, and consequently the combination of corrosion-induced sectional reductions and notch effects can be fatal for structural safety [2,5,6].
The methodology can be used as a tool for structural engineers and asset managers to assess a corrosion-affected concrete infrastructure and make decisions with regard to its maintenance and rehabilitation.
Deterioration of flexural strength of corrosion-affected PC beam is then associated with reduction of the cross-sectional area and tensile strength of the prestressing steel strands.
Statistical properties of the random variables used in the analysis are summarized in Table 1.
Statistical properties of random variables Parameters Mean COV Distribution Reference fc, compressive strength of concrete fp, nominal yield strength of uncorroded strands h0 , effective depth of cross section dc, depth of the concrete cover R, parameter of pitting corrosion D1, dead load (self weight) D2, secondary dead load L, live load Impact factor 48 MPa 1860 MPa Nominal Nominal 5.65 1.02Dn 1.32Dn 1.08 Ln 1.15 0.13 0.025 0.02 0.14 0.22 0.022 0.068 0.041 0.10 Normal Normal Normal Normal Gumbel Normal Normal Lognormal Normal Bartlett and MacGregor [22] Mirza et al. [23] Lu et al

Due to high consumer properties, low production and transportation costs, a wide range of applications in many areas of human activity, natural gas occupies a special place in the fuel and energy and raw materials base.
Studying the processes of burning is highly relevant in our days, in particular due to the fact that at burning harmful substances (NO, S, CO) are resolved, which disastrously affect human body [2].
The desire to burn gas with an excess air factor α close to 1.0 is due to the goal of providing the most economical and efficient operation of a gas-burning plant.
(1) winter period of the year with an excess air factor α < 1 and gas pressure in the gas distribution network of less than 1.2 kPa: СН4 + 1.5О2 + 1.5 ∙ 3.76N2 = СО + 2Н2О + 5.64N2
(2) Theoretical analysis of equations (1-2) gives grounds to state that the results of the combustion process depend on gas pressure and the excess air factor.