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Fig.1 Schematic diagram of air spring with auxiliary chamber In general research, mathematical model is used to analyze the elastic properties of air spring[1], but its characteristic data can only be obtained by means of physical tests.
Method of ABAQUS finite element analysis and test is used to obtain the data of dynamic characteristic of air spring with auxiliary chamber in this paper,meanwhile, influence discipline of sitffness characteristics to air spring with different pipe, different auxiliary chamber or different initial pressure are analysed under different excitation.
Meanwhile, dynamic stiffness of the air spring is gradually reduced when volume of auxiliary chamber increases, but the amplitude of the reduction, the magnitude of change is greater between the volume change in the interval of 0 to 5L than 5Lto 10L or 10L to 15L. as volume of auxiliary chamber increases, the spring dynamic sitffness amplitude tend to gentle,and influence for decreasing the spring dynamic sitffness is not obvious by continuing to increase the auxiliary chamber volume.

Macroscopic and microscopic analyses show that, when subjected to impact loadings leading to dynamic fragmentation, the R-SiC ceramic infiltrated with aluminum shows a significant reduction in cracking density when compared to the raw R-SiC material.
Despite the availability of experimental data documenting the brittle failure of ceramic, very few quantitative investigations have been performed addressing the role of the microstructure feature in the observed failure mechanisms.
Experiment data Linear fit a b csplitted into several relatively integral parts; for crushed mode, the tested specimen under impact is crushed completely.

The main changes at this interface are the lower of the pH value and the reduction of oxygen tension [2], leading to the acceleration of namely microbially influenced corrosion (MIC).
The EIS data were measured at OCP with sine wave voltages (10 mV) peak to peak in a frequency range of 10 kHz-0.01 Hz.
The experimental data were interpreted on the basis of equivalent analogs using the program Zview 2.0 to obtain the fitting parameters. 3.

The linear interpolation formulas are described as: (14) where is the time,; When the equation (14) is substituted into equation (13), after simplifying there results: (15) where = the tangent stiffness matrix; = the integral parameter, Using total content instead of pressure increment, the equation (15) becomes (16) (17) Example Analyses The author picks the eastern part of the Ordos Basin Daning-Jixian Region JS-3 well's production data to carry on the fitting computation by using this model.
The production data of JS-3 well is carried on for fitting computation.
Table I Parameter Values Of Coal Seam ID Parameter 1 Well diameter(mm) 70 2 Initial pressure(MPa) 11.475 3 Porosity(%) 2.07-2.36 4 Temperature(℃) 28.29 5 Density(t/m3) 1.47 6 Langmuir volume(m3/t) 39.91 7 Langmuir pressure(MPa) 3.034 8 Diffusion coefficient(cm2/t) 2.50E-7 9 Face cleats permeability(μm2) 0.1E-3 10 Butt cleats permeability(μm2) 0.06 E-3 11 Vertical permeability(μm2) 0.02 E-3 Acknowledgment The authors are very much indebted to the China National Science and Technology Major Project (Contract No. 2008ZX05037) References [1] Jishan Liu ,Zhongwei Chen, Derek Elsworth, et al .”Linking gas-sorption induced changes in coal permeability to directional strains through a modulus reduction ratio” .International Journal of Coal Geology, vol. 1, pp. 21-30, March 2010

However, we have obtained considerable experimental data of their properties by examining the luminescence of B implanted and B and C co-implanted 4H-SiC annealed at various temperatures using a (BN/AlN) cap [3].
An UV-sensitive GaAs photomultiplier coupled to a computer-controlled photon counter is used for data acquisition and manipulation.
The relative peak heights in both sample sets decreases with increasing TA, indicating a partial reduction of the defect concentration [4].

Table 1 The evolution of density of cylindrical parts during carburizing – sintering at different temperatures Compaction pressure [MPa] Carburizing time [ hours] Density before carburizing [g/cm3] Density after sintering [g/cm3] 1050oC 1100oC 1150oC 1050oC 1100oC 1150oC 400 2 6,44 6,42 6,44 6,62 6,78 6,87 4 6,45 6,47 6,45 6,82 6,93 7,01 6 6,43 6,46 6,44 7,12 7,16 7,23 600 2 6,83 6,87 6,86 6,99 7,04 7,06 4 6,83 6,87 6,86 7,04 7,10 7,13 6 6,81 6,87 6,85 7,08 7,14 7,16 Data analysis shows that by the carburizing – sintering of the cylindrical samples at the same temperature is confirmed the theory according to which the dimensions of the parts decrease during sintering, which leads of the densification of the material.
The evolution of the density of cylindrical parts depending on the temperature and on the compaction pressure a - at 2 hours carburizing, b - at 4 hours carburizing, c - at 6 hours carburizing From the graphic representations it is observed that as a consequence of the intense reduction on the dimensions of the parts pressed at 400 MPa, densification, too presents a higher variation at this compaction pressure.
In the case of the samples compacted at higher pressures (600 MPa), density decreases to ρ = 7.12 g/cm3 for the same conditions of carburizing – sintering; based upon this data it is observed the fact that unlike classic sintered steels, where density grows together with the growth in compaction pressure, in the case of the new steels elaborated thorough carburizing – sintering, the phenomenon is reverse, meaning that density grows for lower compaction pressures

There are two traditional methods for treating this kind of problem: one is to abstract and simplify the objects, because a great deal of simplification exists in this calculation method, the calculation accuracy is low; the other is recursive method according to experimental data, though this method can guide production, but it can’t explain the rolling mechanics well.
The aim of this calculating method is to simply data input.
Table.3 Rolling parameters Backup roll Work roll Rolled piece Elastic Module(E/GPa) 210 210 206 Poisson ratio() 0.3 0.3 0.3 Roller radius(R/mm) 750 300 Length(L/mm) 2030 2230 1850 Friction coefficient() 0.1 0.1 0.08 reduction rate(％) 20 Forward tension (T1/N) 2430 Initially thickness of piece (/mm) 1.25 As displayed in Fig.5, the chart of contact pressure distribution on rolled piece surface is obtained through computation and analysis.

The experimental data have been analyzed with a one-dimensional model which provides the charge collection profile as a function of the ion fluence.
The solid curve in Fig. 2 shows the fit of the experimental data by means of the obtained numerical solutions, being the product (k · σd · vth) the unknown parameter.
Summary An analysis of the reduction of the performances of a 4H-SiC nuclear detector due to 2 MeV proton bombardment is presented.

Most scholars study in the pilot study stage, heavy workload, cost expensive, the resulting data often have significant limitations.
Thus, according to the example of the original test data, using empirical formula to calculate the experience of the three cutting force values were: Fz equal to 3774.62N, Fy equal to 1509.85N, Fx equal to 1132.39N.
The minimum stress along the flank, in contact with the end of the stress, a total reduction of only 20% to 30%, in a distance equal to the length of exposure, the stress drop of the rake face 3/5 -2/3 times.

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Procházka, Materials Structure, 8(2) (2001) [3] Positron-Electron Annihilation, Carl Akerlof, 2008, University of Michigan [4] Modeling Momentum Distribution of Positron Annihilation Radiation in Solids, Ilja Makkonen, Laboratory of Physics, Helsinki University of Technology, Espoo, Finland, September, 2007 [5] Computerized Data Reduction and Analysis in Positron Annihilation Coincidence Doppler Broadening Spectroscopy, A.