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We paste polyimide (PI) tape on the separation chamber`s glass side, which has ideal insulation property, thermal endurance and corrosion resistance.
Otherwise, PI tape doesn’t affect separation effect which is affected by surface compatibility of glass and PDMS.
It has good thermal endurance, mechanical properties and releasing characteristic to make mold with concave benches as structure layer.
Formula 2 shows diffusion broadening is the main factor in all three factors of zone broadening.
This also shows that the diffusion broadening is the main factor of zone broadening.

The sintering product quality needs to be very high because of its difficult-to-cut property.
The factors influencing the quality of the sintered product include not only the roughcast but also the changing event of temperature distribution during sintering, namely the sintering curve.
If the neuron number of the hidden layer is too small, it will seriously affect the approximation ability of the neural network.
If the dynamic efficient mc is too big, it will make the convergence of the neural network unsteady and the kinds of instable factors will increase, too.
Yin: Application Neural Network Method in Mechanical Engineering (Publishing house of Mechanical Industry, Bei Jing, China, 2003)

The forming efficiency of RP can directly affects the economic benefits of mechanical industry, and to the requirement of the forming efficiency is also higher now.
Because ObjectARX2002 is the second developing tool of AutoCAD2002 that operation speed is fast, powerful allows developers who use high-level programming language used the function expansion, and thus meet customers' various needs[3]; The application programming of ObjectARX has some characteristics that independence is strong, the property of module is good, the use is convenience and can support MFC, etc[4].
Fig.4 The chart on parallel lines filling path Fig.5 The chart on outline offset lines filling path The analysis of the forming efficiency Many factors influence the forming efficiency of RP, these factors which mainly have the length of filling track line, filling speed and acceleration and filling way, etc.
References [1] Maoliang Wu, Minglun Fang and Qingxi Hu: Journal of Machine Design and Research Vol.20 (2004), p. 43—44,57, in Chinese [2] Konstantinos A, Tarabanis: Rapid Prototyping Journal Vol.7 (2000), p. 241—252, in Chinese [3] Zhaoxia Liang, Fei Cao: Computer Aided Design and Manufacturing Vol. 7(2001), p. 43—44,51, in Chinese [4] Huijuan Xu, Zhi Xia and Gongqiong Li: Journal of Sichuan Ordnance Vol. 4(2004), p. 23—26, in Chinese [5] Fan Zhang: ObjectARX Developing Instance Tutorial(Peking ZhiFan High-tech Technology Companies, Beijing 2007), in Chinese [6] Chong Ren, Lirong Fan and Yiqing Cao: Mechanical and Electrical Engineering Technology Vol. 5(2011), p. 79—80, in Chinese

To design and to dimension the structural elements of the machines (e.g. shaft), it is necessary to know the fundamental mechanical properties of materials, such as modulus of elasticity or shear modulus.
Simple twist The course of shear stress in the cross-section of the component is affected by the shape of the component.
Figure 3 shows the course of shear stress for circular and hollow circular cross-section and basic properties of sections are shown in Table 1.
Properties of cross-sections d D d Jp πd432 πD4-d432 Wk πd316 πD4-d416D In practice, when dimensioning the constructions, we are interested in the extreme values of stresses.
Summary The contribution deals with determination of the shear modulus for rods with circular and hollow circular cross-sections with the unknown material properties.

In general, however, magnesium alloys formed a strong basal texture which is affected on mechanical property during room temperature deformation.
Many researchers have found that deformation condition was an important factor in order to texture control on AZ system magnesium alloy [1-3].
Stanford, The effect of calcium on the texture, microstructure and mechanical properties of extruded Mg-Mn-Ca alloys, Materials Science and Engineering A 528 (2010) 314-322
Pekguleryuz, Effect of strontium on the texture and mechanical properties of extruded Mg-1%Mn alloys, Materials Science and Engineering A 549 (2012) 168-175

The thermal damage becomes a particular concern in the fabrication of micro/submicro-components as the damage can potentially occur on the entire part, adversely affecting the usability and functionality of components.
An example is the production of buried contact silicon solar cells where thermal damage occurring around the closely spaced grooves changes the property of the silicon substrate and reduces the active area for energy conversion.
The optimum conditions to minimize the groove width, maximize the groove depth and minimize the heat-affected zone (HAZ) will be determined by jointly considering these criteria together.
An analysis of varience (ANOVA) has been performed to determine the significant parameters that affect the performance charcteristics.
The results of the ANOVA showed that the most influential factor among the four process parameters investigated is the waterjet offset distance.

Dynamic characteristics of numerical control (NC) machine tools, such as natural frequency and vibration property, directly affect machining efficiency and finished surface quality.
Natural frequency and vibration property are two of machine tool’s dynamic characteristics which directly affect machining efficiency and finished surface quality [7].
During the cutting process, the vibration is complicated for the reason that it is combined with various factors.
The interference of environmental factor is eliminated.
Research on Inherence Properties of CK6310 NC Headstock [J].

Various pore characteristics, such as pore size and pore shape, influence the quality and affect the intended functionality of the component.
On the one hand, the formation of these types of pores can provide valuable insights into the process conditions and influence the mechanical properties of the final product.
Nevertheless, further research should expand the current models to include a greater number of parameter variations, as well as other significant influencing factors such as powder characteristics, other manufacturing technologies and materials and additional human or process-related influences.
Attallah, Selective laser melting of AlSi10Mg alloy: process optimisation and mechanical properties development, Mater.
Manfredi, On the selective laser melting (SLM) of the AlSi10Mg alloy: process, microstructure, and mechanical properties, Materials 10(1) (2017) 76

Influence of HVOF Thermal Spray Process on the Microstructures and Properties of Fe-based Amorphous / Nano metallic Coatings X.Q.
The coating microstructure, amorphous phase content and properties under different HVOF processes were evaluated.
Also, the nano phase embedded in the amorphous matrix is advantageous to improve the mechanical properties.
So the oxygen / fuel ratio is also a critical factor affecting coating quality.
The difference of corrosion properties for the coatings sprayed at different parameters is mainly due to the difference in coating microstructure.

Literature Review Studies on the methods and apparatus developed for automatic on-line sampling and measurement of nanoparticle properties, such as particle size, distribution and concentration in suspension have been few [2-7].
It consists of a specially designed mechanical spring (Part #5) and some electrical switch valves (Parts #3 and 22).
(The sampling time varied from 10 to 40 minutes and the process parameter setup B was applied) c.c. and 20 minutes, respectively could achieve reliable data measurement of particle properties with acceptable data errors level (within ± 5%).
This unexpected situation was due to the arbitrary choice of process parameters arranged for the verification of any undesired measurement fluctuation on particle properties potentially caused by various process parameters.
In the ASNSS, the dielectric volume and sampling period can be set at 40 c.c. and 20 minutes, respectively to sustain reliable data measurement of particle properties with acceptable data errors level (within ± 5%).