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According to the data obtained, the at% of Al2O3 in the deposit increases sharply with increasing the concentration of Al2O3 in the electrolyte and attains the optimum values at 14.4 at% at 30 g/l Al2O3 suspension in the bath.
The data obtained in this investigation can be explained in terms of adsorption of Al2O3 on the cathode surface.
As a result, the reduction of copper ions is controlled by concentration overpotential, the amount of codeposition of Al2O3 particles gradually decreases.
This results in the reduction of the diffusion layer thickness and it is accompanied by the increasing of the metallic ion concentration in the diffusion layer.

Fig.2 Cutting unit reduction gear mechanism Fig.3 Traction unit reduction gear mechanism 2.2 Conditions of coal face and equipment The general arrangement of coal face is shown in Fig.4.
The data of the vibration signal is recorded by using a recording instrument.
After retrieving the vibration data from the working face successfully, we analyzed the signals.

The advantages of compliant mechanisms are considered in two categories: cost reduction (part-count reduction, reduced assembly time and simplified manufacturing processes) and increased performance (increased: precision and reliability; reduced: wear, weight and maintenance) [3].
Experimental Bench For measuring data of piezoelectric actuator and compliant minigripper [6] we developed the command scheme in Simulink and the interface using ControlDesk application (Fig. 4).
The modules for the test bench The structure of the test bench for measuring the experimental data referring to the actuator and minigripper is presented in Fig. 5.

PCA is used to process the sample data (here R software is used).
Evaluation indicators of the real estate project become 4 after reduction by PCA.
Then after the training results completed, all the calibration data are input to produce the last comprehensive-evaluation score, which is shown in table 3.
Intelligent parameter reduction using rough sets theory and sensitivity analysis.

Experimental data were processed using the methods of mathematical statistics.
In course of regression analysis of the three-factor experiment, empirical dependences of adhesion strength and wear of coatings upon parameters of electrolysis process (electrolyte flow rate - X1; current density, А/dm2 - Х2; particle content - Х3) were obtained: σsc= 219,1+X1+17,3Х2-18,6Х3+2,3X12+1,2X22+0,3X32+3,0Х1Х2-1,3X1X3+1,3X2X3, (1) J=10,6-1,5X1-2,5X2+0,9X3+1,9X12+0,5X22+0,6X32+2,9X1X2-1,8X1X3-6,0X2X3 (2) Analysis of the research data has shown that cathode current density had the greatest influence on the adhesion strength and wear resistance of the coatings (Fig. 4).
The main factors that determine effectiveness of the technology are: - reduction of the production floor space occupied by the technological equipment due to the change of process of the technological scheme and the use of a single rectifier in the operations of anodic treatment and plating; - reduction of the time and electric energy spent on restoration of components due to the increased productivity of iron plating process and reduction of the number of operations; - reduction of the consumption of materials for preparation of electrolytes due to reduction of operation of anodic treatment and washing; - improving the reliability of the technology due to enhancement of its structural flow chart.

Thus, researches on sliding wear behavior and collecting sliding wear data are needed.
As stated previously, it is considered that the contact area of the present specimen did not increase further because of the reduction of wear rate caused by work hardening and the formation of glaze layers with sliding distance.
In other words, the reduction of contact stress had significant effect on the decrease of the wear rate only at the beginning of sliding wear.
Even though it is hard to find out which is the main mechanism for the parabolic wear behavior at the present time, it is now clear that work hardening, the formation of glaze layers, and the reduction of contact stress caused the parabolic wear behavior.
The values were calculated from the accumulated data by using SAS program.

The specimens were tested under axial compression using a 1000-kN capacity Instron testing machine that was connected to a computer for command signals and data acquisition.
Comparison of actively confined and GFRP-confined specimens: (a) lateral strain-axial strain curves; (b) axial stress-strain curves The difference in the axial stresses in FRP-confined and actively confined HSC can be quantified in terms of an axial stress reduction factor (fc/f*c).
Fig. 4(b) shows the relationship of the stress reduction factor (fc/f*c) with FRP confinement ratio (fl/f’co).
As evident in the Fig. 4(b), the axial stress reduction factor (fc/f*c) reduces with an increase in an increase in the confinement ratio (fl/f’co).
However, currently available data are not yet sufficient for the quantification of the stress reduction factor (fc/f*c).

The test results displayed that the settlement reduction ratio of the stone column ranged from 1.12 to 2.18.
Each test was thoroughly instrumented to collect critical data about the load-support mechanism.
After preparing the test sample mold, an earth pressure cell (EPC), with a capacity of up to 1 MPa, was installed to monitor stress data.
This system collected data on the stress within the composite ground, the settlement, and the excess pore pressure.
Stress-Time The stresses on the column and soil were measured using data from sensors installed beneath each respective layer.

Another advantage of this system is the smaller data amount that will improve the processing real-time ability.
Two algorithms used to compute the workpiece thickness data, slicing algorithm and tessellation algorithm, are discussed in this section.
Hence the thickness data can be expressed as the discrete points along edges corresponding to the processing trace.
The thickness data calculated by the program shown as Figure 5.The calculated data are consistent with the workpiece contour and the thickness value suddenly drop from the 50th slice to the 70th slice as a result of through-hole.
The application example proved the thickness data calculated with two algorithms are correct.

Different chemical compositions, based on either foundry or wrought Al alloys, have been investigated by means of computational thermodynamics (Pandat ® ), producing quantitative data about solidus-liquidus interval, solid fraction as a function of temperature, phase diagrams i.e. potential for age hardening, etc..
The simulation approach produces, for a selected alloy chemical composition, quantitative data of the solidus-liquidus range, temperature dependent solid fraction and enthalpy and potential for age hardening.
The alloys were produced starting from pure elements, to confirm the data supplied from thermodynamic calculations, and then processed, according to the following work sequence: mechanical stirring from liquid state to a specific solid fraction percentage, complete solidification in air, re-heating, injection in a small laboratory die and finally heat treatment (T6).
Silicon is the main aluminum alloying element; its primary effects are the improvement of fluidity, castability and hot tearing resistance and the reduction of thermal shrinkage.
For the same reasons, copper was added, for the formation of CuAl2, in small amount to avoid excessive reduction in alloy fluidity.