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Samples of liquids were taken out of the tank by the HIAC/ROYCO particle counting system: auto-Flow Chemical Sampler (AFCS) equipped with a Microcount 100S sensor, model 8000A liquid particle counter (LPC) using CountSpec 2.0 software, the data was processed and could be transported to Excel-file format.
The model (see Eq. 1) used to fit the data points uses linear diffusion rates and compensates for non-ideal continuous stirred tank reactor behavior and the fraction of particles immediately rinsed off during re-immersion.
[ ] ( ) ( )tktk tktk bc b i c cb e fefee kk k A tI − − −− − +−− − = 1))1( ( ][ )( *0 (1) Variables that have been fitted to the experimental data are the initial amount of particles in the carry-over layer ([A]0), f, and kb.
The effect of PEG addition goes from an almost 60% reduction in diffusion rate for the 0.43- µm particles to an 30% impact for 0.33 µm.
At pH 10 addition of surfactant has no effect, which probably means that the positive effect of the surfactant (reduction or shielding of surface charge and thus reduction of EDL-thickness) is reduced by the negative effect (increase of effective radius/mass).

And kinematic viscosity at 40 ℃ and 100℃ was also analyzed, test data were showed in Table 2.
It can be seen from the table data, when the carbon chain length increased and the friction coefficient was gradually reduced, PB values did not change significantly.
The figures show the cumulative reduction ratio in each pass and the minimum thickness data which can be rolled.
Fig. 1 Effects of different rolling states on the thickness in rolling 202 stainless steel Fig. 2 Effects of different rolling states on the thickness in rolling 304 stainless steel Compare Figure. 1 with Figure. 2, the following results can be acquired: (1) Compare to lubrication-free state, the rolling oil containing alcohol or ester additives can significantly increase the single-pass reduction rate at constant roll gap and reduce the minimum rolling thickness
(2) When stainless steel cold rolling oils containing octadecyl alcohol as additives, the single-pass reduction rate at constant roll gap was larger and the minimum rolling thickness was smaller

Temperature of heating of 1050 °C exceeds Acm point of steel 150HNML according to data [3].
The metallographic picture of change of structure as a result of temperature increase of quenching in H12MFL steel considerably differs from steel 150HNML as all structural changes happen inside cells – reduction of amount of secondary carbides and appearance of sites of residual austenite while the size of the cells surrounded with an eutectic remains invariable is observed.
At first reduction of hardness is insignificant then owing to increase in amount of residual austenite after heating higher than 1100 °C – reduction of hardness makes from 53 HRC (at tq = 1100 °C) to 42 HRC (at tq = 1170 °C) (Fig. 1).
Noted features of influence of tq on wear resistance of 150HNML and H12MFL steels confirm literature data on a positive role of metastable residual austenite in relation to deformational martensitic transformation in ensuring high abrasive wear resistance [1].
Data of Fig. 2 demonstrate that there is a correlation between the maximum values of relative wear resistance and microhardness of a working surface of both steels after wear.

In the telescope, the light-weighted mirror plays a critical role both in quality of images and weight reduction of satellite payload due to launch vehicle constraint.
Light-weight design and analysis of mirrors are very important issues for weight reduction and better performance of system.
In general, the format of FEA data is not acceptable for optical analysis software, and the displacements and stresses at arbitrary located finite element nodes can not be input directly into optical software.
Therefore, the computed displacement data provided by FEA codes must be translated into forms acceptable by optical software [1].
Usually, the structural displacement data must take coordinate transformation to the optical coordinate system based upon sag expression.

convenient B method Strain Reduction Type Calculating for Pc by the redundant deformation Δe of compression-rebound circle Point B is difficult to timely identify.
The excess deformation is different while test conditions are different. complicated S method Curve Reduction Type Taken the strength loss and redundant deformation into consideration, reasonable You can calculate the value of Pc and Cc.
Table 2 Consolidation test data of soft soil sample in Dongting Lake area P(kPa) 0 25 50 100 200 400 800 1600 lgP(kPa) 0 1.39794 1.69897 2 2.30103 2.60206 2.90309 3.20412 e 1.0934 1.0503 0.991 0.9202 0.8314 0.7328 0.6309 0.5287 Numerical method to determine the maximum curvature point and the pre-consolidation pressure.
The curvature K is expressed as follows: (4) From the Harris model formula (3), the following equations are given: (5) (6) In the formula: (7) (8) As the data points obtained from the consolidation test results of e-lgp compression curve are relatively small, the maximum curvature point of the compression curve can be calculated through Excel software based on the Harris model.
The steps are as follows: Firstly, the consolidation pressure starts from 0kPa, expand the interval of data points into 0.1kPa, namely 0kPa, 0.1kPa, 0.2kPa, till the last level pressure, and then convert it into lgp form.

The testing machine works in combination with a program complex intended for recording the data of sample elongation as a function of time of the experiment and it also enables to analyze the creep stages and approximate the creep curves.
Standard methods of mathematical statistics were used for data processing.
Typical curves of copper creep From Fig. 1 it followers that magnetic field effect results in the significant reduction of creep rate on the linear section of creep curve.
As the quantitative component of estimation of magnetic field effect the parameter of relative change of creep rate at linear stage is used: , were and are the values of creep rate with magnetic field effect and without it, averaged over 20 experimental data.
In this manner, the analysis of the presented dependence shows that the reduction of creep rate has a threshold character.

Appropriate measurements have been given for the test data of the present material.
Table 1 Test S-N data of the present material.
Appropriate measurements have been given for the test data.
Only the test S-N data in MLLR and fatigue limits are used.
Appropriate measurements have been given for the test data.

Then the data statistic was taken.
Storage system operation process simulation and analysis Data of work time for into the store is as shown in Table 1.
Data of work time for into the store (unit:second) 11.45 12.09 8.9 6.42 10.31 11.89 10.41 11.93 10.49 9.64 10.38 13.45 11.49 11.57 8.88 8.99 10.58 9.73 9.6 9.3 8.6 8.78 9.24 11.78 9.34 10.26 8.97 9.58 10.29 11.83 8.99 7.35 8.76 8.98 9.22 9.78 10.23 11.14 9.7 10.55 9.8 8.74 7.08 10.99 10.3 9.28 11.86 10.45 7.98 9.42 Statistic was taken for the above 40 data, and the frequency and probability were also calculated, and the overall characters of the data can be see.
The statistic data result is as shown in table 2.
Source program for the progressing of the data.

In other words, the value a =0 offers the narrowest bandwidth, but the slowest data rate.
Binary data is first separated into even and odd data stream Data Q and Data I.
Then, the data are fed to MOS switches that select quadrature sinusoidal waves Sin Q and Sin I.
The line length is 1m and the data rate is set to Fig. 6.
In this paper, we investigated how to improve the data rate of signals and to reduce crosstalk noise.

The highest intrinsic viscosity and yield of PPSE by the reduction of PPSOESE reached to 0.78 dL/g and 93.2%, respectively, much greater than the reported results.
From these reports, we deduce that one of the best ways to increase molecular weight of PPSE is through the reduction of its sulfoxide precursor.
Box-Behnken design and data analysis.
Design-Expert 7.1.3 (Trial version, State-Ease Inc., Minneapolis, MN, USA) software was used to analyze the experimental data according to the RSM procedures.
By applying multiple regression analysis on the experimental data, the independent variables and their responses were related by the following two second-order polynomial equations, respectively