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Spanwise wall oscillations have experienced a growing interest since first studied by Jung et al. [1].
Their time dependent wall forcing, w=Wsin (2πt/T), inspired Viotti et al. [2] to convert the unsteady motion into a steady streamwisedependent forcing, i.e. w=W sin (2πx/λ).
Rotation rates of up to O(104) required for flight-conditions outlined above are achieveable by micromachined air turbines developed by Frechette et al. [16].
This is in line with the works by Willis et al. [17] and Sharma et al. [18], which indicate that a near-wall body-force controller is most potent when acting on low-wavenumber structures.
Gad-el Hak.

The evaluation of biogas generation from the digestion and co-digestion of animal waste, food waste, and fruit waste was investigated by Otun et al. [18].
This result is in agreement with the study by Alfa et al. [13] in which the optimum biogas production was obtained between the pH of 6.6 and 7.8 for the digestion of cow dung.
This trend is similar to the study by Otun et al. [18] that reported pH range between 6.9 and 7.15 for co-digestion of poultry droppings and cow dung.
Wall, et al.
El-Mashad, G.

S. et. al. used a CFD simulation to optimize the deposition parameters of diamond films in HFCVD reactor, the temperature, pressure, and distance between the filament and the the susceptor were considered [10].
B. et. al. investigate the role of fluid flow and heat transfer from the filament to the substrate in determining the quality of diamond growth [11].
Luo et. al. study a new CVD reactor geometry to deposit uniform films on large area substrates at atmospheric pressure [12].
The species profiles depicted in the figures 12 and 13 have already been reported by Meeks et al. [20] for a model used to study a non-stoichiometric silicon oxide, besides Abrefah et al. [21,22] reported the chemical reaction of atomic hydrogen with silicon oxide to generate the SiH4, Si+, SiH2+ and SiH3+ species.
El-badrawi, E.

Using the Path Probability Method Suzuki et al. [34] successfully calculated P for interacting systems for the purposes of modelling mixed cation fast ion conductors.
Allnatt and E.L.
Allnatt and E.L.

Material characterization during EDM of cemented tungsten carbide [6], Fe-Mn-Al alloy [7] with varied process settings has been completed.
Kansal el al. [23] conducted a simulation study for predicting the temperature distribution on the workpiece and the resultant MRR in a PMEDM process.
Yadav et al. [17] assumed that 8% of heat is at the workpiece in a normal EDM process.
Kansal et al. [23] varied this factor from 5% to 20%.
Study of the Effect of Machining Parameters on the Machining Characteristics in Electrical Discharge Machining of Fe-Mn-Al Alloy.

As of late, Singh et al. [18] utilized Runge-Kutta-Fehlberg strategy with shooting technique to take care of the issue of an MHD flimsy nanofluid stream between parallel plates with slip impacts.
Raza et al. [19-23] effectively tackled the fluid problems in a channel with shooting strategy under the various physical conditions.
Hatami et al. [24] researched the flow of nanofluid between expanding or contracting discs.
The step size squeezed much smaller if the obtained numerical value is not closer to the required accuracy (Raza et al. [36]).
Thermophysical properties of nanoparticles (Raza et al. [19]).

R,Gnanamoorthy et al investigated the effect of short fibres reinforcement in Nylon 66 and nanoclay reinforcement in Nylon 6 on the wear properties of the composites.
Apichartpattanasiri et al studied the effect of varying injection parameters on tribological properties of Nylon 66 and found that at low slip ratio, the effect of processing parameters were not significant.
Ravi Kumar et al mixed Nylon 66/polypropylene blends with nanoclay and short carbon fiber and studied their abrasive behaviour.
Suresha et al investigated the role of graphite, nanoclay and short carbon fiber on the properties of Nylon 66 and found that Nylon when mixed with all these three fillers collectively showed superior properties [7].
Abd-El-Messieh, S.H.

Illustration of the diffusion path (dotted curve) for a diffusion couple between the Al rich solid solution and γ phase.
Liu, Mater Sci Eng A, 2003. 344: p. 328-239. [3] Sakidja, R., et al., Scripta materialia, 2005. 53: p. 723-728
[6] Park, J.S., et al., J.
[17] Kir, T.A. and E.L.
[19] Perepezko, J.H., et al., Mater Sci Eng A 1995. 1-2: p. 1-11.

Wang et al. [7] synthesized needlelike PCC by carbonation under high-gravity environment and found that the addition of H3PO4, high reaction temperature, low CO2 flow rate and appropriate rotating speed favored the formation of needlelike CaCO3 particles.
Sonawanea et al. [9] adopted sonochemical carbonization to prepare nano- calcite CaCO3 and observed that the application of ultrasound caused a super-saturation of Ca2+ ions leading to a rapid nucleation of CaCO3 and improved the solute transfer rate.
Montes-Hernandez et al. [10] precipitated calcite from CO2–H2O–Ca(OH)2 slurry under high pressure of CO2 and observed that supercritical CO2 was essential to the precipitation of sub-micrometric isolated particles and micrometric agglomerates of calcite.
The nitrogen content in supernatant of slurry during carbonation process was measured by Element analyzer (vario EL Ⅲ, SARTORIUS GMBH, Germany).
Xiang et al. [8] revealed the main product of the reaction between Ca(OH)2 slurry and EDTA is CaY2- through calculating and experiment.

He used three methods of analysis, namely Ray et al., Schindler, and Sreenivasan/ Mannan.
Kim [7] used critical average stress fracture model to establish the relationship to predict the intrinsic fracture toughness of Al 7175-T74 and 17-4PH casting steel from the apparent fracture toughness of a notched-cracked specimen.
Loya [63-64] presented values of the static and dynamic fracture-initiation toughness of the aluminum alloy Al 7075-T651 at different loading rates obtained on three-point bend specimens with different thicknesses and different initial crack lengths.
Loading rate effect on fracture toughness of alumina (Al(2)O(3)) and magnesia (MgO) were analyzed.
Mahi, A, Castagnede, B: Poly test, 28 (2009) 780–783 [51] Sun, SY, Chen, HR: Comp sci and tech, 70 (2010) 1011–1016 [52] Rong, JL, Wang, X, Cao, MS, Xu, TF: Ch phy lett, Vol. 27, No. 8 (2010) 086201 [53] Tarpani, JR, Gatti, MCA: Polimeros-ciencia e tecnologia, vol. 20, n. especial, p. 345-351, 2010 [54] Hu, WK, Ha, YD, Bobaru, F: Int. j, for ms comput engg,  Vol 9   Issue 6   Pages 707-726   Pub 2011 [55] Mustafa, RJ, Al-Hamdan, AA, Nimir, YL: Mat and manuf proc, 26 579–585, 2011 [56] Shimamoto, A, Kubota, R: key engg mat   Vol: 261-263   Pages 331-336   Part 1&2   Pub 2004 [57] Shimamoto, A, Kubota, R: Mat Sci F.,   Vol 488-489   Pages 853-858 [58] Hwang, DY, Shimamoto, A: Mat Sci F.