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Table1 Freezing parameters of LingDong coal mine Parameters Main well Auxiliary well Wind well Thickness of alluvium（m） 21.5 21.5 21.5 Depth of frost（m） 463/55 383/55 312/55 diameter（m） φ6.5 φ7.5 φ6.0 Frozen circle diameter（m） φ12.8 φ13.4 φ11.5 Shaft wall thickness（m） 1.35 1.25 1.05 Number of freeze hole 16/16 17/17 14/14 Hole spacing（m） 1.25 1.23 1.28 Freezing period（d） 372 332 296 Average temperature（℃） Surface soil-5℃，Bedrock Section -12℃ Freezing monitoring content Freezing monitoring content includes: each layer’s temperature of thermometer hole, the temperature and flow rate of the recurring salt water and every excavation segment temperature of the frozen wall.
Table2 Partial measured values of the wellbore temperature of auxiliary shaft Number Freeing time/d Vertical depth/m Lithology East South West North 1 188 67.4 Fine sandstone -4.0 -4.7 -4.3 -5.0 2 190 71.1 Mudstone -3.8 -4.2 -4.2 -4.0 3 191 74.8 Moderate coarse sandstone -5.0 -5.3 -5.7 -6.7 4 192 78.5 Mudstone -4.1 -4.0 -4.2 -3.9 5 194 85.9 Coal seam 1.7 2.2 1.1 1.8 6 195 89.6 Mudstone -4.0 -4.1 -4.0 -3.0 7 270 331.8 Mudstone -5.8 -6.0 -6.3 -6.6 8 274 339.2 Coal seam -4.2 -3.9 -4.0 -3.7 9 288 376.2 Moderate coarse sandstone -6.1 -6.4 -6.0 -6.8 The Temperature of Salt Water.
(2) In the freezing engineering, the one that the temperature drops fastest is Quaternary gravel. coarse sandstone keeps the first place when in Cretaceous Stratum, followed by fine-grained sandstone, coal seam is the slowest.

There are a large number of input parameters in the ultrasonic lapping process which will have influences on machining efficiency, machined surface quality, achievable form accuracy.
These process parameters are implemented through reducing tool diameter, abrasive grain size, and vibration amplitude to the microscale.
The reason is that line speeds greater with the Fig.2 MRR comparison plate rotation speed faster lead to the friction intensified and the number of effective abrasive increased .

., reduction of the parameter Ra) was replaced by a rational regulation of complex parameters (Ra, Rz, Rmax, Rvk, Rpk, Rk, tp), which is possible only with the use of a number of processing technologies such as honing or surface plastic deformation or another advanced technology technique [2].
Moreover, quite a number of factors for variations destabilize purely experimentally obtained models, which demonstrates their usefulness in each case, but leads to a need for the recycle experiments changing the input parameters.
In mathematical modeling of the original surface forming process appropriately addressed as a stochastic impact of abrasive grains on a surface of the workpiece [3].

Based on XRD analysis, the powders were examined for their morphology and grain size using a field emission scanning electron microscopy (Model JEOL JSM-7600F, FEI Co., Japan).
However, small peaks of MgNb2O6 or MgNb2O3.67 phase were found, which could be matched with JCPDS file numbers 33-0875 of 25-0525 and became stronger as increasing the calcination temperature to 800℃.
EDX analysis using a 20 nm probe from a large number of particles of calcined powders was listed in Table 1.

A trigger was gotten at a zero-crossing of H in order to average a number of signals synchronously.
X-ray diffraction is sensitive to the local phenomenon of grain deformations by the occurrence of the particular slip line as fatigue and crack initiation.
Fig. 6 indicates the relationship between number of cycle of fatigue test and RMS(root mean square) value for fatigue damage specimens.

This surface was prepared by a vitrified bonded diamond grinding wheel with a grit number # 100.
As the work material during the constant-pressure grinding is always in contact with wheel working area, the diamond particles on PCD has been removed by the diamond abrasive grain accompanying by the temperature rising in the contact area.
Figure 6(b) indicates that the number of these pores has obviously reduced in the UV-polishing.

The volume of volume fraction of the primary solid is 25.58%, and the total number of primary phase is 201, which is directly calculated by LabVIEW and IMAQ Vision.
The number of extra large and small particles is few.
This semi-solid alloy has the typical feature, lack of large dendritic forms, small and uniform primary grain size, which should exhibit beneficial properties

Manufacture of shell (i.e. cast) included in the wax coating paint group, sand and hardening process: First of all, with the configuration of a paint binder and refractory material, commonly used binder with water glass, silica sol or ethyl silicate, refractory material including a finer grained quartz, zircon corundum or powder etc..
Patent number: ZL201010212620.3 [4] Manufacturing method of Artificial jade.
Patent number: ZL 201010197098.6 [5] Zhang Zhaohui, Mo Tao.

Introduction Now the utilization of bauxite resource is lower, and the phenomenon of mineral resource wasting seriously, and a large number of low grade minerals are abandoned in china [1-2].
In the ingredient process，the grains of raw materials were made up of three different particle sizes.
The physico-chemical properties of mullite-SiC bricks Product name Ordinary mullite-SiC bricks New mullite-SiC bricks apparent porosity / % 16.8 15.9 bulk density /g·cm-3 2.72 2.57 compressive strength /MPa 67.5 102 refractoriness under load /°C 1575 1646 thermal shock resistance / cycles (1100°C, ater-cooling) ≥15 ≥8 Al2O3 % 71 62 SiC % 8.49 9.06 Table 6 The wear coefficient of different bricks bricks numbers surface inner Ordinary mullite-SiC bricks 1-1 4.42 9.38 1-2 4.62 8.76 New mullite-SiC bricks 2-1 3.63 6.98 2-2 3.79 6.69 Results and analysis Properties of new mullite-SiC bricks.

In a Cartesian coordinate system where the origin is fixed at the center of the wafer, the three components [ x(t), y(t), z(t) ] of a grain position at grinding time t , or the cutting path is specified as [3]; (1) where the matrices A and D respectively represent the rotations of wafer and wheel, and are given as; (2) while matrices B and C respectively express the tilts of wafer around X-axis and Y-axis, and are given as; (3) Cutting path density.
In the area where the wafer radius is [r2, r2 + dr2], the cutting path density d(r2), or the length of cutting path per unit area, is defined as; (4) where m is the number of the effective cutting edge involved in cutting path generation and given as m = m0 × n1 / n2 (m0 is the number of effective cutting edge on the working surface of the wheel).