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By analyzing factors affecting the accuracy of boring process on the precision boring machine, the article aims at putting forward a method of improving the accuracy of boring process by means of installing polymer elastic shock absorbers on unilateral boring tools.
However, many factors should be researched before unilateral cutting tools are used widely in the precision boring process[2]. 2.
Analysis of Factors Influencing Boring Process Accuracy Factors affecting boring process accuracy cover mechanical vibration, wear of unilateral cutting tools, mechanical deformation and thermal deformation of the process system[3].
In the similar situations, adopted methods should be a top priority.Change effects of factors above can make a positive impact on boring.
—elastic property coefficient of shock absorber —constant radial force weight and radial variable force wight exerted on supporting side guiding components.

In this paper, the influence of deep cryogenic treatment (DCT) on mechanical properties of two commercial steels is analysed.
Since the hardness and the wear resistance are key features for tool steels, the DCT literature has been mainly focused on these mechanical properties.
As reported in Table 2, the DCT produced no relevant changes on the mechanical properties of the austenitic stainless steel.
Table 2 - AISI 302 mechanical properties, 95% confidence interval.
Table 3 - 18NiCrMo5 mechanical properties, 95% confidence interval.

The results have shown that current, velocity and load are important factors to affect the frictional wear properties of C/C composite with electric current.
Comparing with traditional friction couples, the contact behavior of current-carrying friction couples is affected by the action of electric field and arc due to the introduction of electrical factor into tribology process.
The sliding plate should meet series of properties such as: good electric conduction property, good antifriction property and wear resistance property, lower damage to contact wire, higher impact resistance and ductility, light mass and low price, and so on.
C/C composite is suitable for making pantograph sliding plate owe to it’s advantages of low density, good wear resistance(low coefficient of friction), good electrical and thermal conductivity and good mechanical properties under high temperature,etc[4~6].
Conclusion This paper studied the frictional wear properties and main wear mechanism of C/C composite with electric current.

Goal is to use available data to build a model that the remaining data on a particular variable (which can be understood as the properties of the database table, the columns) were described.
During the inspection, the object of various theoretical knowledge (mechanical equipment and related factors) on the specific application, has a special form of expression and focus.
The original data and sometimes the conclusions and the specific circumstances must make some amendments to the process of fault diagnosis can be observed the existence of the relevant factors can be controlled with the problem.
The key issue for the application process: network construction and training, according to the number and type of property can determine the appropriate number of network input and output modes, and form a suitable network structure; by pruning or network pruning (Network Pruning) , does not affect the classification error in the premise, get rid of the network nodes and links.
At present, many domestic and foreign scholars attribute reduction algorithm and made a lot of related issues, reduction methods are mainly divided into the following two categories: The method based on attribute importance.The importance of using property as a heuristic search for the minimum reduction is the basic idea: First, get attribute core attribute reduction set as a basis for calculation of properties depending on the importance of the definition, then follow the descending degree of importance of attributes by adding one by one property until the property is a collection of decision attributes on the level of dependence on the original attribute set equal to date, the property set for a reduction.

These composites have better mechanical properties because they combine a polymer matrix with one or more reinforcing fibers or particles.
Reinforced SMPs, known as SMPCs, have better mechanical properties and are suitable for use in various industries.
The p-values of 0.006 for ID and 0.010 for GT indicate that they are statistically significant factors affecting shape recovery time.
The statistical ANOVA analysis and response table identified ID and GT are statistically significant factors affecting shape recovery time, with ID having a greater impact than other factors.
Murty, “Detailed assessment on effect of graphite on mechanical properties of E-Glass/Flax epoxy hybrid polymer composite,” Mater.

The structure optimization design for the W-type metallic sealing ring based on the MOGA algorithm Xiangyu Ding NanChang HangKong University Jiangxi province Nanchang City South of FengHe road No. 696, China Email:dxiangyu20000@163.com Key words:metallic sealing ring, MOGA optimization algorithm, The outer arm opening angle, The outer arm arc angle Abstract:This paper uses the ANSYS software to analysis the outer arm opening angel(OAOA) and the outer arm arc angle(OAAA) of W-type metallic sealing ring which can effects on the mechanical properties,obtained in that when the OAOA choose from 1.398°to 14.156 °and the OAAA choose from 30.21° to 59.5 °, the mechanical properties of  the sealing ring can satisfy the requirement of use.  
Because of its "seal ring thin-walled, large deformation, precision" on the whole, the development of metallic sealing rings are extremely difficult, and the design analysis process is affected by many factors, design analysis affected by many factors.
Under high temperature, the strength of the material is still very good, its oxidation resistance, fatigue, fracture toughness, plastic and other comprehensive performance are very good also, the basic mechanical properties parameters are shown in Table 1[5].
The size of optimization design  is reasonable, and the sealing ring has better mechanical properties .
Mechanical design manual[M].Bei Jing: Mechanical industry press,1992

And particle size and distribution both are important factors affecting mechanical properties of the composite.
Introduction With the development of high-tech products on the properties of the materials to pursue higher and higher, the development of new materials and materials optimization improved become an important issue in the field of materials research.
In terms of metal matrix composites, the distribution of reinforcements in the matrix is uniform or not which directly determines the properties of composites.
Mechanical Science and Technology, 2001, 20 (3): 426 - 428
Effect s of magnetic field and disorder on the electronic properties of carbon nanotubes Step han Roche , Riichiro Saito [J] .

Fabrication and Mechanical Properties of ZrO2/Ni Functionally Graded Materials M.
The distributions of mechanical properties in the FGMs are obtained from the mechanical testing of homogeneous composite samples with different volume fractions of Ni.
Most the researches concerned the used the ceramic/metal FGMs for studied the mechanical and thermal properties of the gradient structure [5-9].
Also, the mechanical properties were studied such as Vickers hardness, which was reduced monotonously with increasing the content of iron.
The mechanical properties of Si3N4–Al2O3 FGM joints with 15 layers for high-temperature applications were investigated.

The result showed that the anti-fogging properties of the coated film were better and the mechanical properties of the coated film enhanced in some sort.
Test of Mechanical Property.
The mechanical property was tested according to GB/T 13022-1991.
The factors of the orthogonal experiment included silica sol, Span 80 and pH of the solution.
Analysis of Mechanical Property.

After modifying intersection properties, weight of each factor in terms of their effect to capacity is acquired.
Factors affecting intersection capacity varies from roadway conditions, traffic flow, vehicle condition and transportation in surrounding areas, are vehicle speed, lane width, signal timing and sight triangle in detail.
(a) time step of 1 (b) time step of 2 (c) time step of 10 (d) time step of 100 Fig. 2 Numerical simulation result Numerical Analysis of Factors Affecting Intersection Capacity In this research, six factors affecting traffic flow on intersections are considered, vehicle speed, number of lane, lane width, car condition, signal timing and sight triangle[1][3][6], all listed in Table 1.
Table 1 Factors affecting traffic flow on intersections on standard condition Factor speed Number of lane Lane width Car condition Signal timing Sight triangle parameter 30 km/h 3 3.5 m normal event open sight According to discrete model simulation results, intersection capacities at different conditions are obtained, assuming other 5 factors stay in standard condition when analyzing one factor
When designing and optimizing intersections is good usage of specific geometric location, and coordination of all affecting factors will avoid one of them to become a bottleneck of the intersection capacity.