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Furthermore, full factorial experiment needs more time for result, and it is not easy to control all factors.
Provided a major effect size is large, it has greater influence over the system than other factors do.
Controllable factors chosen in the experiment and their levels are as shown in Table 1.
On the contrary, both the ratio for controllable A and B is rather significant, and so such factor is as significant factors.
Su, Study on an optimal design of mechanical properties for PP/PET nonwovens, Fibres Text.

The minimum chip thickness effect is a major limiting factor on achievable accuracy because the generated surface roughness and significantly affects machining process performance in terms of cutting forces, tool wear, process stability, etc.
Weule et al. found that the minimum chip thickness depends primary on cutting edge radius, and secondarily on material properties, they concluded the workpiece material is removed by a shearing mechanism once the cutting thickness reaches an upper bound of a minimum chip thickness [5] .
Atkins argued the applicability of modern ductile fracture mechanics in modeling the cutting process and explained the dependence of shear angle on material properties by including a fracture toughness term in the energy expended in machining [8].
The stress intensity factor (KI) is the key parameter in the fracture mechanism, ductility fracture will happen when the stress intensity factor exceeds the fracture toughness (KC).
Since the KC is a material property that varies with the workpiece, the minimum chip thickness will vary with the workpiece material.

Slip resistance of footwear sole affects the comfort and safety of shoes directly, and slip resistance is mainly expressed by the coefficient of friction.
For example, the shoes that the electrician wears in industry, the shoes used in climbing requires some slip properties to improve safety.
At present, the slip-resistance research from abroad sums up mainly concentrates in two aspects, such as the effect factors of anti-slip performance and the estimation of shoes’ anti-slip performance standard[3].
The research of sole slip-resistance performance in domestic mainly concentrates in the influence factors of anti-slip performance, the influence to sole slip-resistance performance about sole material, pattern and path, all the measurement to coefficient of sole friction is preliminary discussion and experiment[5].
Before testing, calibrate the system to avoid the error that is brought by mechanical or sensor linearity.After calibration, the formulae of pressure-tmp is as Eq.(2): tmp=X*L-Z . (2) Where L is tension value before calibrate，X is coefficient of calibration，Z is difference.

During the modern machine design, optimal design of the mechanical structure is an indispensable part, it has a significant effect on the performance of the whole mechanical structure [4].
Overall program to determine On the milled white room cross-section of the rice mill, the fluid density of the rice grains is uniform, during the course of the campaign, the probability is less affected by bending and shear, and the broken rice rate is low, loved by the users.
As is shown in Fig.6, and while the production is small batch, the production cost is too high, the safety factor is too large.
Fig.6 Safety factor Fig.7 Strain and stress Cloud images Fig.8 Response surface Cloud images The transmission bracket of modal analysis Modal analysis technology is used to determine the design organization or vibration properties of machine parts[12], they are the important parameters in the design of structure under dynamic load, spindle as an important component of the rice mill, the strong vibration will cause the resonance of structures or fatigue, using ANSYS Workbench software for modal analysis, obtained the rice mill characteristic of support the natural frequency and vibration mode of transmission, analyses the inherent frequency and vibration frequency displacement nephogram, as is shown Fig.9.
Mechanical Engineering, 2009,45 (6) :304-308.

The incremental forming of titanium alloy sheets combines the advantages of this advanced flexible manufacturing process, that allows to produce complex components without using dedicated tools, with the interesting properties of the material under consideration.
Moreover, they emphasize that the tool-sheet contact conditions mainly affect the repeatability of the process due to the occurrence of galling.
However, it is important to underline that the maximum wall angle, determined by the formability tests, represents a process capability which may be dependent on other factors not investigated in this work.
The different behavior in terms of process repeatability is due to the galling, a form of wear caused by adhesion between sliding surfaces that notoriously affects the titanium alloys.
Polat, Mechanical and microstructural evaluations of hot formed titanium sheets by electrical resistance heating process, Mat.

Tsis the dimensionless stress ratio tensor TstrTs and, fb , fe, fd represent the pycnotropy and baratropy scalar factors described by Kolymbas [3].
The other soil properties are displayed in Table 1, the Direct Shear test is used to find the soil shear strength parameters (φ, c) performed according to [6].
Table (1) Soil Properties.
It has been found that the amount of sand, roughness of the base plate and funnel lifting rate are the factors that affect the value of the angle of repose obtained by using the abovementioned method.
The soil properties in Table 4 are used.

Technical aspects of security risks Factors, including network operating system software platform and application software and other factors.
In practice, some within that library staff do not follow the rules operating the computer system, free installation of external software, network viruses cause infection, thereby affecting the entire library network system security.
To further improve data against all possible safety factors of the disaster recovery capability.
Beijing: Mechanical Industry(2009) , in press
[8] W.Xu: Library security features and its influencing factors.

Therefore, the addition of nanoparticles has received great attention as a promising means of enhancing the mechanical properties of those polymers.
In order to understand better the mechanism governing the nanocomposite failure behaviour, experimental work aimed to relate morphology and properties of the constituents (particularly interfacial properties) with deformation and failure mechanisms occurring at the nano and micro length scales.
Zaman [14] found the highest toughness increasing for the highest interfacial properties corresponding to the most exfoliated morphology.
Prediction of macroscopic properties Macroscopic properties of the nanocomposite were obtained by homogenizing the mechanical response of the RVEs discretised with FE.
Chia, in: Finite Element Modelling Clay Nanocomposites and Interface Effects on Mechanical Properties (IUTAM Bookseries, Vol. 13, 241-248, 2009)

The results showed that surface roughness induced transient affects significantly the pressure distribution in line contact.
The apparent viscosity in the power-law model needs to be included as a correction factor for viscosity-pressure [11] and the correction factor for solid particles in the lubricants according to Rylander[12].
Results and Discussion The roller data, properties of liquid lubricant and the properties of solid lubricant used in the analysis are given in Table 1 and Table 2.
Table 1 Physical properties of lubricant and roller material Equivalent radius, 0.05 Equivalent modulus of elastic of rolling/sliding, 225 Poisson ratio of rolling/sliding 0.3 Inlet temperature of lubricant, 303.15 Ambient density of the lubricant, 892.80 Ambient viscosity of the lubricant, 0.114 Viscosity-Pressure index 0.4706 Power law index 0.975 Table 2 Physical properties of solid lubricants Brinell hardness, 3.139 Modulus of elasticity, 34 Poisson ratio 0.13 Density, 4800 Friction coefficient 0.1 Particle diameter, 2 Fig. 1 shows the fluid film pressure profile, film thickness and asperity contact pressure in the contact region under applied load 300 kN/m, rolling speed = 1.25 m/s, the combined surface roughness amplitude, and the deviation of the asperity height,.
The additional funding was received through the College of Data Storage Innovation KMITL (DSI – KMITL) and NSTDA for research Unit on Tribology and Mechanical Engineering.

According to [6], the results showed that the CF affect the occurrence of pitting corrosion in the sodium chloride (NaCl).
Material properties of material: Poisson’s constant (n), specific heat (Cp), conductivity (l), mean coefficient of linear thermal expansion (α), yield stress (sy) and elastic modulus (E) were used as the inputs, shown in Table 1.
For ff = 0.875 and fr = 1.125 are the fractional factors of the heat deposited in the front and rear quadrant, which can be determined by ff + fr = 2 and speed of welding = 150 mm.
The properties of material and stress amplitude (MPa) that divided to 4 periods: 250, 200, 150 and 100, respectively.
Sundarrajan, "Effect of welding parameters on mechanical properties and optimization of pulsed TIG welding of Al-Mg-Si alloy," Int J Adv Manuf Technol vol. 42, pp. 118-125 2009/05/01 2009