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Therefore, fluids with non-linear viscous behaviors, as well as viscoelastic materials are complex fluids [1,2,3,4].
Therefore, the complex fluid is assimilated to a “rheological” fluid, whose dynamics are described by the complex velocities field, V, and by the imaginary viscosity type coefficient, iλ2τdtτ2DF-1.
References [1] Luis, G. (1993), Complex Fluids, Springer, Volume 415, 327-349 [2] Mitchell, M. (2009), Complexity: A guided tour.
Europhysics Letters 17 (6), 479 [8] Chen-Shiyi and Doolen Gary, D. (1998), Lattice Boltzmann methodd for fluid flows.
General relativity and gravitation, 40 (1), 35-55 [22] Agop, M.; Murgulet, C. (2007).

Fig 1.
Protein marker; 1.
Table 1.
References [1] T.
Plant Cell Rep 31: 479-94

The results are concluded as follows: 1.
Eng. 1 (1985) (2) 131
A 479 (2008) 142
Manuf. 1 (1) 1, 2019
Mes. 1(1) (2010), 17

XRD diffractograms for Fe2O3 and bimetal BeO/Fe2O3 are shown in Fig. 1.
BeO/Fe2O3-300 also obtain highest adsorption capacity of 5.85 mg/g among all adsorbents (Table 1) for physical CO2 adsorption isotherms at room temperature (25 °C) and 1 atm as shown in (Fig. 3 b).
The nature of adsorption is favorable based on dimensionless separation factor of 01.
The slope, 1/n, allows for understanding the adsorption process.
Forum. 888 (2017) 479-484

The detailed microstructures of B steel are shown in Figs. 1 (e) and (f).
The size of retained austenite is 0.3~1µm in both B-T1 and B-T2 steels.
Summary 1.
References [1] N.J.
Forum Vol. 475-479 (2005), p. 289

,Ltd.: SNB-1) to study the effect of the dispersant on the slurry rheology.
The dependence of the viscosity values on the dispersant amount is shown in Fig. 1.
The magnitudes of σ and Ea for different disks are listed in Table 1.
References [1] H.Y.P.
Zhong et al., Ammonia sensor based on NASICON and Cr2O3 electrode, Sensors and Actuators B 136 (2009) 479-483

The CO2 conversion and CH4 selectivity were calculated based on equation (1) and (2), respectively.
Results and Discussion 3.1 Texture properties and structural parameters of catalysts Table 1 BET specific surface area, pore volume and mean pore size of the catalysts Sample aSBET [m2g-1] bVp [cm3g-1] crp [nm] ddNi [nm] reduced spent reduced spent reduced spent spent NiMg/D-S 48.4 54.4 0.12 0.26 2.1 1.6 4.9 NiMg/D-N 81.0 73.3 0.11 0.20 1.9 1.9 3.7 NiMg/D-A 42.9 45.0 0.10 0.10 1.9 1.2 4.4 a Calculated from BET method b,c Calculated from BJH method d Calculated from the three strongest peaks of XRD by Scherrer equation The textural properties of reduced and spent catalysts were displayed in Table 1.
As shown in the pattern, the small broad diffraction peak at 2θ=21.5° for all samples is attributed to the diffraction of amorphous silica, and the weak peaks at 2θ=26.7° and 28° are assigned to the diffraction of quartz phase, and the three strongest peaks located at 2θ=44.6°, 51.9°, 76.5° correspond to the metallic Ni planes of (1 1 1), (2 0 0) and (2 2 0) [8,9].
The particle sizes of crystalline Ni0 on spent catalysts are calculated in Table 1.
References [1] D.

Bach et al. [10] reported roll bonding of aluminum (AW2017; thickness 1 mm) with titanium (TiAl6V4/Ti99,8; thickness 1 mm).
The variation of the outer layer thickness of AA1050 was t1050 = 1 and 10 mm.
A combination of 5 mm core and 1 mm layer shows a process window of just 1 s.
References [1] J.
Schultz, Macro- and micro-surface engineering to improve hot roll bonding of aluminum plate and sheet, Materials Science and Engineering A 479 (2008) 45–57

Fig. 1.
Test setup of specimen-1 E Fig. 3.
Table 1.
Base shear versus lateral drift response of specimen-1 Fig. 6.
References [1] R.

Table 1 gives the details of the machining parameters.
The values were taken from Tables 3 and 4 and are graphically represented in Fig. 1.
Fig. 1 Constant feed vs Progressive feed Fig 2.
References [1] S.
Chattopadhyay, Estimation of tool wear during CNC milling using neural network-based sensor fusion, Mech Syst Signal Pr, Vol. 21 (2007), p. 466–479 [5] H.Z.