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In this paper, the concept, factors and description of credibility in simulation systems are proposed, and a new method to provide credibility analysis of simulation systems is studied, which is been in demand in the research of a project in the area of tether net systems.
The properties of simulation systems are basis of definition, classification and description of simulation credibility.
It is more difficult to figure out and describe the properties of such complicated systems.
With the analysis of elements of simulation systems, the following properties of credibility analysis of simulation systems which must be satisfied can be concluded: Completeness: The logic description cannot just aim at some specific individuals or subsets, a global picture must be formed instead.
Last, but not the least, not only will the devices themselves have affected the credibility of simulation systems, but the integration of digital system and attached devices.

Finally, solutions based on composite materials and mineral additions have been explored to mitigate the adverse effects of seawater on the mechanical properties of concrete.
What impact do chloride and sulfate ions present in seawater have on the mechanical properties and durability of concrete?
These tests will measure mechanical properties such as compressive and tensile strength, as well as durability, and assess the influence of seawater on concrete behavior.
Rahier, « Mechanical Properties of Concrete with Recycled Concrete Aggregates », Int.
Guo et al., « Characterization of the mechanical properties of eco-friendly concrete made with untreated sea sand and seawater based on statistical analysis », Constr.

The new model is more capable in explaining the effects of jet velocity, abrasive particle size, and various material properties on the efficiency of the cutting process.
Hence, the interplay between process parameters and material properties can radically affect the total material removal rate during AJM.
The model can explain the variable velocity exponent, the peak erosion angle shifting, and the effect of various material properties, and particle size and shape.
For any specific abrasive particle-target materials combination, it is convenient to view A1 - A4 as experimentally-determined factors.
This optimization process is not straightforward, as it depends on target material properties, whose effects are contained in the A1 - A4 parameters in Eqs. (3) - (5).

The surface properties, adsorption, absorption value.
Technical properties of the asphalt were shown in table 2.
In the study, mechanical stirring method is introduced to prepare mineral modified asphalt.
The major factors which affect the adsorption mechanism are the group composition of the asphalt and properties of the filler; namely, the mineralogical composition, structural characteristic, surface texture, and specific surface [4].
As for mechanism of the modification, the factors such as the mineralogical composition, structural characteristic, surface texture, Geometric irregularity and specific surface, etc, should be considered.

This compound has been obtained by a number of preparation routines, usually by chemical synthesis, mechanical action from precursor compounds or by calcinations of several types of bones [6].
The method is quite simple, feasible to large scale production, and the raw material is abundant, factors that make the transformation process attractive from the industrial point of view.
It can be observed that the most probable particle diameter is about 1.0µm, which is certainly further decreased by mechanical milling.
Nevertheless, studies have shown that the calcination temperature can affect crystallinity, increasing the lattice parameter [10, 17]. 10 20 30 40 50 60 70 (12h) (10h) (8h) (6h) (4h) 2θθθθ (Degrees) Intensity (Arbitrary Units) 20 30 40 50 60 0 200 400 600 800 1000 1200 ♦(321) ♦(112) ♦(202) ♦(501) ♦(313) ♦(322) ♦(203) ♦(113) ♦(131) ♦(212) ♦(301) ♦(210) ♦(102) ♦(111) ♦(200) ♦(312) ♦(222) ♦(213) ♦(402) ♦(410) ♦(310) ♦(004) ♦(002) ♦(300) ♦(211) 2θθθθ (Degrees) Intensity (Arbitrary Units) ♦ PURE HA a) b) Fig. 3. a) X-ray diffraction patterns for the materials calcined at 4, 6, 7, 10 and 12 hours and milled for 4 hours; b) Material calcined at 12 hours and milled for 4 hours.
"Optical properties of hydroxyapatite obtained by mechanical alloying", J. of Physics and Chemistry of Solids 63, 1745-1757, (2002).

After the plasma arc scans the surface of the sheet metal, there will be an obvious change of micro hardness in the heated area, which will affect the increasing of bending angle to some extent.
In addition to the processing parameters and the physical properties, the changes in micro structure and phase transformations play an important role in the forming.
Table 1 shows the experimental results of Q235 sheets with 19 degree pre-bending angle by mechanical bending method.
Strain-hardening effects and phase transformation effects are also main factors to influence the forming process.
Zhang: China Mechanical Engineering, Vol.14 (2003), No.1, pp.75-78

Permeability of coal, affected by stress, temperature and many other factors, is a pivotal parameter to predict gas flow in coal seams.
Mechanical properties of coal deformation and its influence on permeability [J].Journal of China Coal Society. 2012, 37(8):1342-1347
Seepage property of coal containing gas under different paths in laboratory [J].Journal of Mining & Safety Engineering. 2012, 29(4):570-574
Experimental analysis of matrix shrinkage’s influence on mechanical permeability of gas filled coal [J].

Related to the optical dan electrical properties of graphene, this material is considerably used as an active electrode in many optoelectronic devices.
In fact, it is quietly difficult to produce high purity/highest quality of 2D-graphene since the known simplest method is mechanical exfoliation of graphite [3-5].
Although this method is also can not produce a high purity of graphene, but it is widely used and have been proven can changes optoelectrical properties of graphene oxide relates to the device application [8-10].
TiO2 shows a good stability in variety of environment and better photovoltaic properties [13].
In fact, shunt resistance (RSH) which correlates with the leakage current inside the cell can be affected the fill factor (FF) value directly.

As with the hardware, the main factors which decide the sound effects of the speakers are pronunciation unit (trumpet) and box materials.
When the speaker is at work, the plastic is easy to cause vibration and affect the quality of the sound.
Summary Combined with the properties and characteristics of WPC, this paper fully demonstrated its advantages to be applied as material of multimedia speaker box.
fromId=264750.(2013-8-4) [3] H’ng Paik SanLee Ai NeeHang Chit Meng: Physical and bending properties of injection moulded wood plastic composites boards(Journal of Engineering and Applied Sciences, 2012)
,Kim, J.H:Physical and mechanical properties of wood-plastic composites hybridized with inorganic fillers(Journal of Composite Materials ,2012)

Structural Analysis and Building an EDM Process Model Ming Zhoua , Xianyi Mengb, Yuejin Wangc, Zhenli Gao d , Yunping Doue , Boyan Tangf, and Meixia Yuang Department of Mechanical Engineering, Beijing Institute of Civil Engineering and Architecture, Beijing, China, 100044 a zhouming@bucea.edu.cn, bmengxianyi@bucea.edu.cn, cwangyuejin@bucea.edu.cn d gaozhenli@bucea.edu.cn, e douyunping@bucea.edu.cn, ftangboyan@bucea.edu.cn g yuanmeixia@bucea.edu.cn Keywords: Electrical discharge machining, Chaos, Correlation dimension, Predictive model.
Abstract: The insufficient information about the mechanism of EDM process affects decision-making related to operation, parameter adjustment, and automatic control.
However, after a comprehensive study of EDM dynamical properties, we found that the fluctuated behavior of EDM process is in fact attributed to a deterministic rule [1].
For noiserr > , the correlation sum curves are affected slightly and one can roughly estimate the correlation exponents by fitting a straight line through an apparent scaling region on the right side of the vertical line [7].
The recursive least-square algorithm is formulated as [9] ]. )()1()()( )1()()()1( )1([ )( 1 )( )()1()()( )()1( )( )]1()()()[()1(ˆ)(ˆ ttPtt tPtttP tP t tP ttPtt ttP tL tttytLtt T T T T ϕ ϕλ ϕϕ λ ϕ ϕλ ϕ θϕ θθ − + − − −− = − + − = −− +−= (7) where )(tλ is a forgetting factor, )(tϕ contains lagged input and output variables.