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Experimental procedures Different percentages (1,3 or 5 vol.%) of nano SiC particles (25-50 nm, Plasma-Chem Co.
Fig. 1.
For longer milling time of 20h, the particles were cold welded to each other (Fig. 2f) and their average size increased (Fig.1).
UFGNSM 2013 4th international conference on Ultrafine Grained and Nanostructured Materials References [1] C.
Alloy Comp. 479 (2009) 334-341

The testing temperature was fixed at 170 ±0.5°C and the shear rates were 50, 100, 200, 400, 600, 800, 1,000 and 1200 s-1.
The exponent n-1 is the slope as: Log h = log K + (n-1) log (2) For n=1, the power law model reduces to Newton’s law (constant viscosity).
Table 1 Calculated values of n and K from the power law corresponding to the sisal fibre/HDPE composites with flame retardant.
References [1] D.
Test. 27 (2008) 470-479

However, the residual Al in finished water has accumulation harm to human body and animal tissue [1].
Table 1 Influence of dilution concentration on Zeta potential of coagulants Concentration[mol.L-1] 0.18 0.018 0.0018 0.00018 0.000018 SOPSF1 -3.55 -0.88 4.03 7.00 11.00 PFA 34.20 36.60 38.20 38.90 39.70 As shown in Table 1, when the concentration was high (0.18 mol.L-1), the Zeta potential of PFA was 34.2 mV, while SOPSF was negative charged.
While the Zeta potential of PFA, as 39.7 mV, was only 3.72 times that of SOPSF at concentration of 0.0018 mol.L-1, while 0.0018 mol.L-1 is just the real concentration of coagulants required during the coagulation process.
References [1] E.L.
Ehara, Eur Patent 479 219, CL.COZF 1/52 (1992)

Shao 1,a, T.Z.
Cui 1,b, G.L.
Wang 1,c , X.D.
Pan 1,d and L.F.
Reference [1] G.R.

Let S = { a[1], a[2], ..., a[n], ..., b, c[1], c[2], ..., c[n], ... }, W = { S[1], S[2], ..., S[n] }, S[i] = bmc[i]A[i], where i Î { 1, 2, ..., n }, A[i] Î { a[1], a[2], ..., a[n], ... }*, m = 1 + max { | A[1] |, | A[2] |, ..., | A[n] | }.
Selected experimental results are given in Table 1.
Table 1.
References [1] Gorbenko and V.
Popov (2012) Advanced Studies in Biology 4(25):479, 485 [6] Gorbenko and V.

Although the image can be completely natural color reproduction (Fig. 1), but the disadvantage is that the atmospheric disturbances, shortwave scattering serious, Vegetation Information weak larger image texture detail loss; 1, 2 channel corresponding to the red channel and near-infrared channel, two RGB channels: 121 false color composite effect RGB: 143 (Fig. 2) is complementary, 250m channels for improving the resolution of the image is particularly important. 250m resolution 1,2 channel can be used for small water area of Diarchy Lake, and thus high-resolution image to do texture structure (Fig. 3) by the formula (1), which both have a high spatial resolution, along with the near-infrared spectral characteristics of the channel. 1-7 the channel characteristics are shown in Table 1 Fig. 1 500mRGB:141 Fig. 2 250mrgb:121 Fig. 3 High resolution image A high-resolution image texture = (b1 1 channel
Table 1 Channel characteristics Resolution ratio Band name Band num Wavelength 250 Red 1 620-670 Far infrared 2 841-876 500 Green 3 459-479 Blue 4 545-565 Near-infrared 5 1230-1250 6 1628-1652 7 2105-2155 Spectral Characteristic Parameters and Chlorophyll Correlation Studies have shown that chlorophyll a, chlorophyll a content increased reflectance spectra of the water change, in the blue band 440 nm red band 678nm near significant absorption spectral reflectance curves of the water when the algae density is higher near the two bands the absorption peak appears.
Fig. 4 Final result of image fusing Fig. 5 Fusing result compare with chlorophyll-a of grand truth According to the results of correlation analysis, select 250m data ratio combination r 2 / r 1 as a factor built MODI S-based remote sensing monitoring model of chlorophyll a concentration.
Through a linear regression analysis, the model is as follows: (1) Wherein Cache- is concentration value of chlorophyll a; r 1, r 2 is MODIS 250m reflectance of the bands 1, 2. 500m and 1000m data is not highly correlated with the chlorophyll a concentration factor, these two sets of data, multiple regression modeling attempts.
Reference [1] YE Yong(2012) Preliminary Study on Water Quality Monitoring of the Dispersed Water Source Based on Remote Sensing Technology Journal of Anhui Agra Sci 1(4):241-245 [2] Zhu Ling- Ya,Wang Sh-I Xin,Zhou Yi,Yan Fu- Li,Yang Long- Yuan (2006) Determination of Chlorophyl-l a Concentration in Taihu Lake Using MODIS Image Data 2(4):122-125 [3] Zhagn Yun1, Feng Xuezhi1, Ma Ronghua2, Yong Bin3 (2002) Advances in Inland Water Chlorophyll-a Extraction by Remote Sensing Ecological environment 3(5):1557-1569 [4] Lahet F, Ouillon S.

Bolster casting entities shown in Figure 1, solidification sequence shown in Figure 2.
Based on these requirements, the chemical composition of bolster casting has been shown in Table 1.
Liquid metal starts filling 1.5s, start filling is not very smooth. the middle of the runner's speed relative to the sides a little faster.
（1）Pouring time 1.5s （2）Pouring time10.6s Fig. 6 The filling velocity field of the second gating system The riser and chill design and optimization The riser design According to riser design principles:                                               (1) Where, f-riser safety coefficient, .
Mater. 8 (2006) 476–479

The electrolyte employed was 1M solution of LiPF6 in ethylene carbonate and dimethyl carbonate (EC+DMC) (1:1 in volume).
Cell assembly was carried out in an argon-filled glove box ([O2] < 1 ppm, [H2O] < 1 ppm).
Fig. 1.
Reference [1] K.
Power Sources, 205 (2012) 479-482

The introduced assumptions and conditions 1.
b=1 p0=1 Fig. 4 Subsoil additional stress solution of strip foundation Table 1 Vertical mass of the strip foundation subsoil additional stress(×P0) 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 area (square unit) 20.210 5.262 2.469 1.379 0.933 0. 661 0. 479 0.338 0.224 Table 1 shows the area of 0.1p0, 0.2p0, ... , 0.9p0.
So it is easy to be used in projects. 1.
References [1] GB50040-96Code for design of dynamic machine foundation [S]
Soil Dynamics and Earthquake Engineering, 1983, 2(1): 1-42

Kim1 1.
-600 -300 0 300 600 900 1200 1500-6 -5 -4 -3 log i, A/cm 2 E, mV(SCE) a SFCo1 SFCo2 SFCo3 SFCo4 316L SFCo1 SFCo3 SFCo2 SFCo4 316L 0.0E+00 1.0E+04 2.0E+04 3.0E+04 4.0E+04 5.0E+04 0.E+00 1.E+04 2.E+04 3.E+04 4.E+04 5.E+04 6.E+04 Zr (Real Impedance, Ω) Zi (Imaginary Impedance, Ω) SFCo1 SFCo2 SFCo3 SFCo4 Figure 1.
Conclusions 1.
References 1.
Kim, Materials Science Forum, 475-479, 2295(2005) 8.