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Table 1 Mechanical properties and densities of 2D C/MC-SiC samples Sample* σ [MPa] KIC[MPa-m1/2] ρ [g/cm3] Ablative rate [mm/s] TaC10 340.4 12.0 1.92 0.029 TaC20 305.7 10.6 2.04 0.040 TaC30 292.8 11.0 2.05 0.059 TaC60 355.2 9.1 2.52 0.040 TaC80 322.5 9.4 2.58 0.052 TaC100 294.5 8.7 2.08 0.041 NbC30 308.8 10.5 - 0.058 NbC100 323.9 9.1 - - ZrC75 295.0 11.7 2.43 0.026 SiC100 326.3 17.6 1.90 0.088 *Note: The sample number also means MC content (MC/(MC + SiC)) in slurries.
The parameters, including the dispersion of UHTCs in the matrix, the density of the samples, the kind of powder (with different melting point), and grain size of the powder, will influence the ablative behavior in torch test and arc jet test.

The lapping plate of new method is manufactured of plastic agent, additive and abrasive grains.
Because of plastic agent, the number of active abrasives will increase and the abrasive depth of cut will become even and small.

Main difference between tuff and tuffite is the in grain sizes.
Enough number of specimen were prepared for each test series.

Maintainability Modeling of NC Machine Tools based on Repair Time Yuxia Xue1,a, Guixiang Shen2,b, Yingzhi Zhang2,c and Liquan Guo*1,d 1Key Laboratory of Grain and Oil Processing of Jilin Province, Jilin Business and Technology College, Changchun 130062, China 2College of Mechanical Science and Engineering, Jilin University, Changchun 130025, China alace99@126.com, bshengx@jlu.edu.cn, czhangyz@jlu.edu.cn, dguolq948@163.com Keywords: NC machine tools, Maintainability modeling, Repair time (RT), Lognormal distribution Abstract.
Eq. 1 can be translated into Eq. 2 via Mellin transformation: . (2) Looking up Mellin transformation formula, we can get Eq. 3 and Eq. 4: . (3) (4) Where, E[*] is mean value; a is a real number and a = 1,2, ..., n; (a) is ath derivative.

It could be concluded from Fig.2 that Na2CO3 had the reaction with forsterite and formed a large number of Na2MgSiO4.
It turned to be the diffusion mechanism in the medium and the last stage, but bulk diffusion and grain boundary diffusion were all possible.

Grain size The suspended sediment particle size d50 lies between 0.0019 ~ 0.0019 mm, with a mean of 0.0027 mm.
The numbers of the nodes is 29235.

Indoor and outdoor experiment Combine of Highway asphalt pavement design indicators and parameters for a number of research results, as well as the reality of Tianjin on common basic design parameters of 1 in the table below, pavement design parameters of table 2.
Common basic design parameters recommended Table 1 Material name Mix Compressive modulus（MPa） Splitting strength Cement stabilized crushed stone 4:96 ~5:95 1200~1300 0.55~0.65 Lime-fly-ash stabilized crushed stone 6:14:80 1100-1400 0.60~0.80 Lime-fly-ash soil 10:45:45 550~650 0.2~0.23 Lime-soil 10%~12% 500~600 0.2~0.23 SOAP residue of stabilized soil 25% 250~350 0.2~0.25 Common surface material design parameter recommendations Table2 Material name Material Type Compressivemodulus E(MPa) Splitting strength 20℃ 15℃ Fine dense-graded asphalt concrete AC-13I 1200-1600 1800-2200 1.2-1.6 Medium-grained dense-graded asphalt concrete AC-16I 1000-1400 1600-2000 0.8-1.2 Data Model The total cost of the structure of the unit area as the objective function , design variables ( layers of pavement structure thickness) and the objective function into a linear relationship : （1） —the i-th layer of pavement structure unit thickness per unit area

That is because along with the increase of the number of grains Nd per unit time to participate in grinding, the thermal stress is enhanced.

The results of measurements and other calculated values non- glazed stainless sheet (Ra = 1,2µm) , load FN = 26 N number of measurements n = 7 sample material The mean f (1) Standard deviation Range f for reliability p = 95 % I.
The table contains the results, which were used for the reconstruction of the conveyors in grain silos.

Then, the influence on nucleation rate can be detected from the change in the particle numbers.
Fig. 4 shows that the number of ferrite particles does increase in the presence of magnetic field [2].
Hence, probably due to this effect the observed particle number decreased at the time of measurement, see Fig. 5, and the particle numbers soon became similar with and without magnetic field [7].
Fig. 4 Ferrite particle number per unit area of grain boundary vs isothermal holding time plots in three Fe-C base alloys [2].
Fig. 5 Ferrite particle number per unit area of grain boundary plotted against holding time in a Fe-0.1C-3Mn alloy [7].