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By contrast, electrochemical machining (ECM) with high machining speed and surface quality was not affected by blade materials strength, hardness, and toughness, physical and mechanical properties of restrictions [6-8].
There are many factors which affect the machining quality in ECM such as feed rate of tool cathode, electrolyte conductivity, the current density, the inter-electrode gap and so on.
Because the ECM process is very complex and often affected by some process factors,i.e. electrolyte flow field, electric filed, anode material dissolution and gap distributions.
There are two factors can impactdistribution, as shown in Fig.3, they are oblique feed angleof tool cathode and fixture angleof blade stock.
As mentioned above, the ECM process may effected by some unpredictable disturbances factors easily and in turn cause fluctuations.

Introduction It is well known that the determination of friction in the roll bite is of great importance in cold strip rolling because it has a significant effect on the rolling force, forward slip, mechanical properties and surface quality of the products.
There are many important factors affecting the actual friction in the roll bite, such as strip surface condition, surface roughness and hardness of the rolls and strip, lubrication condition, temperature of the rolls and strip, and rolling speed.
Considering all above factors, the following equation is proposed to describe the friction coefficient in the roll bite during cold rolling 1 r bd (a c ) veN µε =++⋅⋅ +⋅
(6) Friction Coefficient Prediction based on Neural Network Because the friction performance in the roll bite is affected by many factors and shows the nonlinear behaviours, it is difficult to achieve an accurate prediction of the friction coefficient by a simple model, like Eq. 4.
The rolling speed is a crucial parameters affecting friction.

However it has been found that the resulting resin properties are dependent on a complex set of factors including nano-filler size, shape, volume fraction and degree of dispersion as well as characteristics of the polymer matrix and filler-matrix interactions [5].
By careful selection of critical interrogation points within the RVE, a set of enhancement factors can be developed which cover the vast majority of critical load cases.
At run-time of the continuum simulation, only the MME algorithm needs to be updated to account for the new enhancement factors.
Ayewah, Improvements in mechanical properties of a carbon fiber epoxy composite using nanotube science and technology, Compos.
Enomoto, Mechanical properties of CFRP laminates manufactured from unidirectional prepregs using CSCNT-dispersed epoxy, Compos.

Displacement ductility factors are larger than 2.
For obtaining material properties of concrete, a total of 6 concrete cubes (150mm×150mm ×150mm) were tested according to Chinese Standard for Test Method of Mechanical Properties on Ordinary Concrete (GB/T50081-2002).
Mechanical properties of steel plates and steel bars are listed in Table 2.
The displacement ductility factors of both specimens are larger than 2, indicating that the columns have great ductility.
"Experimental study on hysteretic properties of SRC columns with high steel ratio." 

Additionally, they examined the relation between mechanical properties of the sheet metal and the cut end deformation.
Holmas[4] mention about cut end deformation which is cause by internal stress but because of the author neither has sufficient data to specify these internal stress, the influencing factors of cut end deformation are frequently be identified.
Table 1.Mechanical properties of sheet (SPCC) Table 1 summarizes the mechanical properties of the sheet metal, as derived from tensile tests.
Conclusion The opening and closing of the cut end deformation are less affected by lip length in this experiment.
Large residual shear stress in the transversal-longitudinal direction at the edge affecting the outer and inner layers, result in cut end deformation.

Scientists are trying to find an approximate calculation method that the combines thetheory and numerical simulationexperiments to study the relationship between structure and properties of concrete and attempt to develop microscopic and macroscopic mechanical properties of a bridge between the cracks.
These cracks are often caused by engineering accident risks, seriously affecting the quality of concrete construction, affecting the durability of concrete.So the crack treatment is the key issue of the adequacy of the correct analysis of reinforced concrete structures.
In order to investigate the influence of aggregate structure on the macroscopic properties of concrete,Guangting Liu,ZongminWang[4] generate aggregate structure randomly.
Material cracking mechanical response can be a realistic simulation by giving the binding unit with appropriate constitutive relation.
In the fracture crack model, by adjusting the stress intensity factor the case of unit cracking can be accurately judged.

Analysis of Stress Distribution of Externally Pre-Stressed Beams under Transverse Loads Peng Zhang1, a, Dan Shen1, b and Shirong Li1, c (1 College of Civil Science and Engineering, Yangzhou University, Yangzhou, China, 225127) auptent@163.com, bshendan123456@126.com, csrli@yzu.edu.cn Key words: Euler-Bernoulli beam theory; External restraint; Parameters analysis Abstract: The size, the position and the arrangement of external restraint will significantly affect the mechanical properties of the structures with the external restraint.
Sun et al.[6] studied the nonlinear mechanical response of concrete beams with post-tensioned external tendons by using both the experimental and finite element method.
The axial force of the external steel bars can be derived as following: , (6) Furthermore, by using the superposition principle, the internal force of the external steel bars under the uniformly distributed load (See in Fig. 3) can be given by Fig 3 Uniformly distributed load arrangement of the simply supported beam (8) In order to facilitate the analysis, we introduce the following dimensionless quantities: , ，，， (9) where reflects the rate of the contribution of the external steel bars on the flexural rigidity of the, is the slenderness ratio, is the eccentricity of the external steel bars, reflects the positional parameters for the external load, integrates the comprehensive reflection of the all the factors on internal forces of the external steel bars.
From Eq.(14) it can be seen that internal force in the external constraint produced by the applied transverse loadings is proportional to factor which depending on the geometry and the physical properties of both the beam and the constraint.

For mud drilling, the mainly influence factors of well deviation can be divided into two types of geological factors and drill factors.
Geological factors include formation anisotropy, formation dip angle, layer structure, fault and so on.
Drill factors mean drill bit tilt because of tool inclination and flexion, resulting in asymmetric cutting in bottom hole.
The stress state of rock and breakage properties present a big variation due to the alteration of bottom hole peripheral pressure.
Cuttings cushion is formed with the results of particles detached which affect the mechanical properties of BHA.

Thus, mechanical behavior of the constituent phases significantly affects the resulting overall properties of such AHS steels.
Mechanical properties of each phase must be precisely characterized.
The obtained hardness values were correlated with the macroscopic mechanical properties including Vickers hardness, tensile properties and hole expansion ratio of the steels.
In addition, resulted mechanical properties of the steel were provided in Table 2.
Barlat, Correlations between nanoindentation hardness and macroscopic mechanical properties in DP980 steel

In this paper, water-control and its influencing factors in deep excavation were researched from sealing, draining and dewatering, and then fault tree of waterproofing was set up.
In this paper fuzzy fault tree[4-6] was used to analyze water control and its influencing factors of deep excavation.
The result show that X2, X7, X8 have a strong influence on the top event, and these 3 factors are easier to be decreased than others.
Conclusions Due to the impact of other factors and the limitation of experts, there are some uncertainties in events.
Fault tree analysis of mechanical systems[J].