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Water samples were characterized and the data was averaged for the three types of raw water, Luan River, Yellow River, and mixture of Luan River and Yellow River (mixture water).
Treated by follow-up processes, formaldehyde got a great reduction, less than 100μg/L was detected in the final effluent expect a concentrition of 159.7μg/L measured on 21-02, which were all far below the water quality standard of 900μg/L[12].
Conclusions The experimental data of full-scale tests performed on three different types of raw water led to the following conclusions: 1) The processes applied in this study with preozonation were applicable to treat typical source waters in North China.
It also demonstrated an applicability of the processes to different raw water, even under the same operation parameters. 2) A great reduction of THMFP and HAAFP was obtained, helpful to lower the formation of DBPs when chloridized.
The authors also greatly appreciate the Water Supply Company for the fruitful collaboration and making the data of the water purification site available.

It was concluded that this method was an approximate way of expressing the state and number of cutting edges present on a grinding wheel with the advantage of generating data in an aerial form (mm-2).
Sds = Number of Summits M − 1( ) N −1( )• ∆x • ∆y (1) where M and N are the number of profiles and data points and ∆x and ∆y are the sample spacings in the x and y direction respectively.
Before the measurement could be analysed the slope had to be removed by applying a least squares plane to the data as well as a third-order polynomial filter to remove the wheel curvature.
The reduction in Sds reflects the loss of cutting points due to either blunting or grain removal.
The parameter Sds has been shown to provide information on the overall reduction in the number of grains while Ssc has hinted that for some wheels the grains are self-sharpening.

To study the influence of thrust forces on burr height, force signals from dynamometer were also investigated through the data acquisition system.
Thrust forces were measured with a multi-component dynamometer (make: Kistler) and force signals were processed through computerized data acquisition system (Fig.5).
SN= -10log[1ny2] Eq. 1 Where, y is the observed data and n is the number of observations.
Thrust force is transmitted through the drill’s cutting edge and the Al matrix tends to yield due to the reduction in interfacial bond between Al and fly ash particles.
The reduction of interfacial frictional force tends to decrease the thrust force and reduce the tendency of work piece material to build up on a cutting tool edge during drilling Al–fly ash/ Gr composites.

With any change of the waveguide resulting in changes of the Lamb waves propagation and damping behavior, non-damage related changes, e.g. due to temperature changes or humidity absorption, can also alter the systems response and lead to false alarms or a reduction of the damage detection ability.
As outlined in [7], the reconstruction of the time history of an impact event can be performed by solving an optimization problem to minimize the difference between the experimentally obtained strain data and that predicted using a model of the structure under investigation.
To account for this, ge can be separated into three parts: (3) Here, ge_base contains the reduction of the effective strain on the sensor due to the interaction between sensor, structure and adhesive, ge_u contains all changes due to deviations from the state in which ge_base was measured and the rest of the equation transfers the measured voltage to a mechanical strain (and can be integrated into ge_base and ge_u in the following process).
From this set and the baseline data, the in-situ stiffness and ge_u would be calculated.
Experimental Procedure Experimental data was obtained and treated using the described methodology, both with and without compensation.

These data could be attributed to the higher hydrophilicity of CMC due to the character of the negatively charged carboxymethyl groups incorporated in the chitosan backbone, considering that the gain of water is mostly related to the concentration of hydrophilic groups in the polymer [13].
These data reveals the introduction of carboxymethyl groups in the chitosan structure and the reduction of the thermal stability of the polymer derivative as the temperature corresponding to the onset of the degradation step decreased [13].
In relation to the thermal analysis, the results reveal the reduction of the thermal stability of the polymer derivative as the temperature corresponding to the onset of the degradation step decreased.
The potentiometric titration showed that chitosan presents DD of 85%, compatible with the data from the manufacturer (DD> 75%).

It results in certain complication when comparing the experimental and predicted data.
The original valve is designed for the pressure reduction from 14 to 0.9 bar.
If the steam reduction occurs as early as in the tested valve, the specific volume of steam before the regulating valve will increase.
For recording and processing the data the measuring unit OROS and also the control unit AGILENT were used.
It was necessary to calculate all the forces from the measured data for designed parameters.

(6) A uniform mesh with 8-noded first-order reduction integration continuum elements is used.
According to the experimental conditions in Ref. [8], simulations for six ring blank samples have been performed and the obtained roll force results were compared with the experimental data.
Table 2 Calculation Conditions and Parameter Values Sizes of ring blank Outer radius R0 (mm) 61.915 Inner radius r0 (mm) 39.685 Height B0 (mm) 25.4 Thickness H0 (mm) 22.23 Sizes of forming rolls Radius of driver roll R1 (mm) 104.8{34.9,52.35,69.8,139.6,174.5,209.4,244.3,279.2, 314.1} Radius of idle roll R2 (mm) 34.9 {10,14,18,22,26,30,38} Radius of guide roll R3 (mm) 34.9 Reduction in thickness △ H 28% Forming parameters Rotational speed of driver roll n1 (r/min) 160 {60,90,120,160,200,250,300,350,450,600} Feed rate of idle roll v (mm/s) 1.22 {0.3,0.5,0.7,0.9,1.22,2.0,2.5,3.0,3.5,4.0} Influence of forming rolls on force and power parameters.
Time (s) 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 0 20 40 60 80 100 120 ( KN) )(9.341 mm R = )(8.1041 mm R = )(5.1741 mm R = )(3.2441 mm R = )(1.3141 mm R = t RF Time (s) 0 . 0 0 . 5 1 . 0 1 . 5 2 . 0 2 . 5 3 . 0 3 . 5 4 . 0 4 . 5 5 . 0 5 . 5 - 1 0 0 0 - 5 0 0 0 5 0 0 1 0 0 0 1 5 0 0 2 0 0 0 2 5 0 0 Datum line )(9.341 mm R = )(8.1041 mm R = )(5.1741 mm R = )(3.2441 mm R = )(1.3141 mm R = t )( mN ⋅RM (a) (b) Fig.4 Influence laws of the radius of driver roll (R1) on roll force (RF) and roll moment (RM) Figure 5 illustrates the influence laws of the radius of idle roll (R2) on roll force (RF) and roll moment (RM).
Vol. 69 (1997), p. 273 Time (s) -2 0 2 4 6 8 10 12 14 16 18 20 22 0 10 20 30 40 50 60 70 80 90 100 110 120 ( KN) )(30 mm/s .v = )(70 mm/s .v = )(22.1 mm/s v = )(0.3 mm/s v = )(0.4 mm/s v = t RF Time (s) -2 0 2 4 6 8 10 12 14 16 18 20 22 -400 -200 0 200 400 600 800 1000 1200 1400 1600 1800 2000 Datum line )(30 mm/s .v = )(70 mm/s .v = )(22.1 mm/s v = )(0.3 mm/s v = )(0.4 mm/s v = t )( mN ⋅RM (a) (b)

) (642) (620) (440) (422) (420) (400) (220) (200) (111) 2θ Fig. 1: X-ray diffraction spectrum of Ba2AlWO5,5 Tabela 1: XRD data of Ba2AlWO5,5 2θ d(Å) I/I0 hkl 19,908 4,456 33,22 1 1 1 26,885 3,3134 16,94 2 0 0 30,990 2,8833 100 2 2 0 34,614 2,5892 28,66 3 1 1 40,422 2,2296 22,31 2 2 2 44,252 2,0450 34,36 4 0 0 46,772 1,9406 5,7 4 2 0 54,835 1,6728 39,25 4 2 2 64,169 1,4502 14,82 4 4 0 72,847 1,2973 14,01 6 2 0 81,042 1,1855 6,35 5 3 3 89,116 1,0978 13,84 6 4 2 For double cubic perovskite of the formula A2BB'O6 the intensity, in particular of the (111) and/or (311) superstructure reflection, is proportional to the difference in scattering power of the B and B' atoms, when all the atoms are situated in the ideal position [8].
XRD data of Ba2AlWO5.5 obtained from the XRD spectrum are tabulated in Table 1.
The lattice parameter of Ba2AlWO5.5, calculated from the experimental XRD data is aexp = 8.3504Å.
The liquid at high temperature facilitates mass transport by liquid phase mechanism and results with the reduction of solid - liquid dihedral angle, which increases the wettability and thus the liquid drags the grain towards each other.
The driving force in the sintering process is obtained by the reduction of the total surface energy, which increases the contact and growth between the grains.

This can happen when one deals with real data.
The damage is simulated with a reduction in the second moment of area of the element 12.
• 3 cases of the undamaged beam data simulating 3 different measurements of the beam without damage - damage cases 2, 3 and 4
• 6 cases of the damaged beam (90, 80, 70, 60, 40 and 20% reduction of the second moment of area of the element 12) - damage cases 5 to 10.
The signals were fed into the Multi-channel Data Acquisition Unit Bruel&Kjaer 2816 (PULSE) and analyzed directly with the Labshop 6.1 Pulse software from the attached laptop (Dell series 400).

An algorithm was developed and asoftware was written in FORTRAN 77 to make calculations for the above variable parameters, which were chosen to account with experimental data and physical sense.
The Modeling results and Discussion As a result of fitting of the abovementioned modeling parameters ( *α , *β , ko, К) very good correspondence between experimental and modeling data was obtained (Fig. 1).
This increase may be connected with a reduction of the length of dislocation segments, resulting from an increase of the dislocation density, which leads to growth of the shearing stresses necessary for operation of Frank-Reed sources.
The coefficient * β related to dislocation density increment in the cell interiors increases 3.5 times as a result of dislocation sinking into the cell walls, which apparently is conditioned by a reduction of the dislocation free path length in connection with a decrease of grain-cell sizes as a result of the pressure rise.
From the modeling it can be concuded that: 1) the Estrin-Tóth model adequately describes the stress-strain state of Cu under HPT; 2) the predicted average dislocation densities, as well as the correlation between the dislocation densities in the cell walls and lattice dislocations, conforms quite reasonably with experimental data; 3) the size of grain-cells decreases, with increasing strain and reaches a state of saturation which continues to decrease when the applied pressure encreases; 4) the dislocation interaction parameter α changes dramatically from 0.24 to 0.41 as a result of severe plastic deformation. 0 2 4 6 8 10 12 14 16 18 0 200 400 600 800 1000 1200 1400 γ r d, nm 0,8 GPa 2 GPa 8 GPa5 GPa a) 0 2 4 6 8 10 12 14 16 18 0 2 4 6 8 10 12 θ, deg γr 8 GPa 0.8 GPa 2 GPa 5 GPa b)References [1].