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In order to avoid the disadvantages and unfavorable factors, vacuum coating way arises at the historic moment.
The bearings are connect with the top panel(11) to ensure the smooth turn and no affect to the entire turn.
According to the gear properties, choose the coefficients of gear, calculating load coefficient as given below. .
Beijing: mechanical technology press. 2003.11.
[8] Daxian Chen: Mechanical design manual. 5 edition.

Introduction In recent years, have been increased attempts at application of various actuators using drives with better properties.
Positioning of the manipulator is significantly affected by the characteristics of actuator arising from its basic structural arrangement.
Static characteristics of artificial muscles Fundamentals of pneumatic actuator operation are to convert pneumatic energy into mechanical energy.
Pandová, Progressive Technology Diagnostic and Factors Affecting to Machinability, Applied Mechanics and Materials 616 (2014) 183-190
Rimár et al, Adaptive Rejection Filter for the Drives Stabilization of Pressure Die Casting Machines, Advances in Mechanical Engineering 6 (2014) 1-10.

Poros Malino KM. 6 Bontomarannu Gowa, 92171, Indonesia 2Department of Mechanical Engineering, Hasanuddin University, Jl.
The solar water heating system (SWHS) design is built-in lower operating temperatures, fewer mechanical components, and is easy to fabricate.
Recent developments in the thermo-economic performance of the SWHS include collector design, modification of the thermo-physical properties of heat transfer fluids, integrated thermal energy storage, and flat plate solar collector (FPSC) hybrid systems.
The increase in the design factor and the convective heat transfer coefficient between the fluid and the absorber material is the most desirable factor to improve the overall performance of the solar collector.
However, the influence of fluid flow velocity also affects the increase of the outlet water temperature.

Okuyucu researched the correlation between the friction stir welding parameters of aluminum plates and mechanical properties [7].
In this model, the process factors influencing the DEHS parameters are the welding current and the welding voltage.
The two factors form a two-dimension plane, and all points on the plane are available in the actual process.
(4) where 0<η<1, is the learning factor, yk is the output of hidden layer.
But it is imprecise because of the different welding processes and material properties.

And ultimately dimensional accuracy, appearance, mechanical property of parts are affected.
The temperature and pressure changed greatly in packing stage, and the density of fluid was affected.
At that time the melt flow rate is very small, which could not afford a leading role, while the packing pressure and packing time which play a role of crucial importance on the quality of final products are the major factors in the packing process.
Gate frozen time was the time to which the frozen layer factor was 1, that is, T2=17.5s.
Table 1 indicates that the defects affected the products quality was further reduced.

In recently published studies, Osório et al. [24] have established correlations between mechanical properties and microstructure parameters for Pb-Ag and Pb-Bi alloys.
Properties Symbol/units Al-3wt.
Care should be taken, however, when trying to explain a general tendency such as the influence of solute content on hi because a number of other important factors influence such tendency.
The establishment of expressions correlating the mechanical behavior with microstructure parameters can enable metal production industries to optimize the complex task of predicting mechanical properties of materials.
The mechanical properties of any solidified material are usually monitored by hardness testing, which is one of the easiest and most straightforward techniques [31].

Because its stable physicochemical properties, mechanical strength and acid, alkali, heat resistance, activated carbon could be regenerated by a variety of methods to restore its original adsorption capacity, which greatly reduces the processing cost of Sb [2,3].
The Box-Behnken surface statistical design of experiments was carried out with three factors, i.e., pH, irradiation time, solid-liquid ratio.
A 3-factor, 3-level Box-Behnken design was used to derive a polynomial equation and construct contour plots to predict responses as shown in Table 1.
The variables which significantly affects the model were A (P<0.0001), B (P<0.0001), C (P<0.0001), A2 (P<0.0001), B2 (P=0.001), C2 (P<0.0001), AB (P<0.005), and AC (P<0.05).
The variable importance of the selected factors under study affecting the antimony adsorption decreased in the following order: pH>solid-liquid ratio>irradiation time.

Introduction The braking system of a vehicle is undoubtedly one of the important factors that affecting vehicle safety [1].
The considerations of these elements in general, would not affect much to overall modeled system.
The Pacejka’s magic formula general form is given as [10]: (5) where y, x, B, C, D and E are the output variable (i.e. μ), input variable (i.e. λ), stiffness factor, shape factor, peak value and curvature factor respectively.
The effect of varying the controller gain would affect the system performance correspondingly.
Besselink, “Magic Formula Tyre Model with Transient Properties,” Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility, no. 27:S1, pp. 234–249, 1997

Influence of Vanadium Microaddition on the Microstructure and Mechanical Properties of High Strength Large Diameter Wire-Rods L.
If an increase in the transformation temperature occurs a deleterious effect on toughness properties is expected.
Similarly, other factors, such as V microaddition, could have an effect on this size by modifying the nucleation process of pearlite [9].
The reduction in strength originated by the change in chemical composition can be compensated or even, increased by vanadium microaddition. ¾ Vanadium microalloying is affecting the interlamellar spacing in different ways: ƒ When added to C-Mn-Cr base steel, the interlamellar spacing increases as a consequence of higher transformation temperatures.
The rise in the transformation temperature does not affect the size of the crystallographic ferrite unit that controls brittle fracture propagation in pearlite

Factors resulting from health-ecological problems as well as cultural, social and economic changes and differences in Turkey were included in the model to obtain more realistic results.
The reliability of these predictions is one of the significant factors affecting the effectiveness of countries' energy policies.
ANN has many attractive theoretic properties to detect nonlinear effects and interactions.
In addition to variables used in the literature, factors resulting from health and ecological problems as well as cultural, social and economic changes and differences in Turkey were included in the model to obtain more realistic results.
Karacan, Investigation of factors affecting demand for electricity consumption with multiple regression method, Selçuk University Journal of Engineering, Science and Technology, 4(3) (2016) 182-195 [27] F.Yüzük, Turkey energy demand forecasting with multiple regression analysis and artificial neural networks.