Thermodynamic analysis methods, based on an exergy metric, have been developed to improve system efficiency of traditional heat driven systems such as ground based power plants and aircraft propulsion systems. However, in more recent... more
Lattice materials can be designed through their microstructure while concurrently considering fabrication feasibility. Here, we propose two types of composite lattice materials with enhanced resistance to buckling: (a) hollow lattice... more
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A model for predicting the refractive index of sodium iodide (NaI) aqueous solution n N I as a function of temperature T, NaI concentration c and wavelength was determined for moderate parameter variations. The equation accurately... more
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AIRCRAFT
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![CFD Analysis And Optimization Of Geometrical Modifications Of Ahmed Body Manipulation of the rear slant angle of the generic Ahmed body reference model was carried out previously [2], to determine the optimum angle configuration for the least drag coefficient with velocity of air at inlet being 40m/s. The drag coefficient and the corresponding lift coefficient were plotted.The pressure distribution and velocity contours for the various rear slant angles were also investigated to comprehend the aerodynamic behavior around the model.](https://figures.academia-assets.com/47212464/figure_001.jpg)














![Fig. 16- Roof camber: Lift vs. H/L ratio Fig. 15- Roof camber: Drag vs. H/L ratio ——'_' OO The analyses of the 22 multifarious models carried out yield optimum configurations for each geometrical modification of the benchmark model — Ahmed body having 10 degree rear slant angle. The values of the aerodynamic parameters obtained for the benchmark model are- Coefficient of drag (C4) = 0.238 and the coefficient of lift (C,) = 0.0848[2]. For all the configurations for a particular modification (obtained by varying the associated geometrical parameter),the drag and lift coefficients are plotted and examined to determine the optimum configuration resulting in least drag and lift coefficients. Furthermore, the underlying root causes are also analysed, comprehended and listed.](https://figures.academia-assets.com/47212464/figure_016.jpg)

































































































![Fig. 1. Lift response to periodic excitation applied either to the lead- ing edge or the flap shoulder of a NACA 0015 (TAU) airfoil for 150,000 < Re < 600,000 and (c,,) = 0.08% (Ref. [42]).](https://figures.academia-assets.com/44558043/figure_001.jpg)
![Fig. 2. Lift increment due to leading edge excitation applied to a post- stalled NACA 0015 airfoil, at different excitation amplitudes (flap not de- flected) [9].](https://figures.academia-assets.com/44558043/figure_002.jpg)
![Fig. 4. LaRC NACA 0015 airfoil showing the two configurations tested. (a) NACA 0015 airfol with an excitation slot at X/c = 10%; (b) NACA 0015 airfol with a 25% trailing edge flap deflected 20 deg and a blowing slot at X/c= 75%. Fig. 3. The effect of circular tabs and AFC applied to an airfoil at low Re: (a) lift, (b) efficiency (including excitation momentum) vs. lift [1,14].](https://figures.academia-assets.com/44558043/figure_003.jpg)


![Fig. 6. The effects of excitation magnitude on the performance of the NACA 0015 airfoil, at a = 14°, M = 0.28, Rc = 12.7 x 108. F+ =2, zero-mass- flux [40]. Fig. 7. Baseline and controlled lift-form drag polar plot for the flapped LaRC NACA 0015 (Fig. 4(b)). M = 0.2, (c,,) = 0.05%. (Uncorrected wind tunnel data.) [44].](https://figures.academia-assets.com/44558043/figure_006.jpg)

![Fig. 8. The effects of Mach number and periodic excitation on the lift of the NACA 0015 airfoil. Rc = 12.7 x 10°, (c,) = 0.03% (M = 0.28) and 0.025% (M = 0.4) [46]. discussed above, the separating boundary layer that encoun- ters the flap shoulder is fully turbulent. This may explain why the reduced frequencies typically effective at low Re (i.e. 0.5 < FT < 1.5) were also effective at high Re.](https://figures.academia-assets.com/44558043/figure_008.jpg)
![Fig. 10. Baseline and controlled surface pressure coefficients under com- pressible conditions (M = 0.55, Ft = 1.65, (cu) = 0.015%, a = 9°). (Arrow indicated excitation slot) [46]. Fig. 9. (a) LARC NACA 0015 pressure coefficients at conditions M = 0.28, a = 14°, Ro = 12.7 x 10°, F+ =2, (cu) = 0.03%. Arrow indicates blowing slot. (b) LaRC NACA 0015 pressure coefficients at conditions M = 0.4, = 11°, Re = 12.7 x 108, F+ = 2.1, (cy) = 0.025%. Arrow indicates blowing slot. (c) TAU NACA 0015 pressure coefficients with leading-edge slot (Hites et al. [17]) at conditions M = 0.41, a = 14°, Ro =3.5 x 108, Ft =2.2, (cu) = 0.02%, with leading-edge (x /c = 0) blowing slot. (a) and (b) are from Ref. [46].](https://figures.academia-assets.com/44558043/figure_009.jpg)

![Fig. 11. Baseline and controlled airfoil lift to drag ratio and integrated wake unsteadiness vs excitation magnitude, both normalized by their baseline val- ues. Ro = 19 x 108, M = 0.55, Ft = 1.65, a =9° [46].](https://figures.academia-assets.com/44558043/figure_011.jpg)
![Fig. 12. Baseline and controlled time histories of (a) lift and (b) moment coefficients fora NACA 0012 at one degree beyond its stall angle [9].](https://figures.academia-assets.com/44558043/figure_012.jpg)
![Fig. 13. Post stall integrated lift (a) and moment (b) coefficients for NACA 0012 and 0015 airfoils, for both baseline and controlled scenarios [12]](https://figures.academia-assets.com/44558043/figure_013.jpg)
![Fig. 14. (a) NACA 0015 total, fluctuating and phase-locked wake pressures. Rc = 12.7 x 108, w= 14°, M = 0.28, (cy) = 0.03%. (b) Wake total pres- sure spectra, conditions as in Fig. 14(a) [46].](https://figures.academia-assets.com/44558043/figure_014.jpg)

![Potential AFC applications include those configurations that could benefit from the increases in lift, reductions in drag and reductions in flow unsteadiness that result from ac- tive control. For general purpose aircraft, this could be trans- lated to increases in range, speed, useful load and efficiency as well as reductions in stall speed. Control could further be used to simplify designs and reduce the weight, maintenance Fig. 16. (a) Baseline and controlled wake spectra. Rc = 19 x 108, M = 0.55, a= 9°, Ft = 1.65, (cy) = 0.015%. (b) Amplitude and phase distributions at the excitation frequency. Corresponding to the data of Fig. 16(a). M = 0.55 [46]. The spectra of the baseline and the controlled wake pres- sure fluctuations at « = 9° and at Ma = 0.55 are presented in Fig. 15 [46]. As with the high Re data, Y/c locations presented were selected because they correspond to the lo- cations where p’/q is maximum and the associated base- line wake does not contain a distinctive shedding frequency (Fig. 16(a)). Rather, it has a wide band of natural high am-](https://figures.academia-assets.com/44558043/figure_016.jpg)

















































































![(a) represents baseline flow (no mixing), (b) peristaltic flow (c) peristaltic flow with pinch valves using the first set of dimensional timing parameters, (d) peristaltic flow with pinch valves using the second set of dimensional timing parameters, and (e) expected maximum fluorescence corresponding to fully mixed fluid. The Strouhal number is 2.03 in all cases Fig. 7 Plot showing fluorescence vs. dimensionless time for three different timing parameters t = 0.172, pinch valves are activated for 291 dimensionless time units (50 seconds) from from t/t = 290 to t/t = 581. t = 0.408, the pinch valves are activated for 246 dimensionless time units (100 seconds) from t/t = 122 to t/t = 368. t = 0.879, the pinch valves are activated for 227 dimensionless time units (200 seconds) from t/t = 57 to t/t = 284. For each plot A gradual increase in fluorescence is observed soon after the inception of the pulsatile motion for all speeds. When t = 0.172, the fluorescence increases from approximately 8000 photons/s (a small amount of mix- ing due to the low-amplitude pulsation produced by the peristaltic pump and possibly diffusion) to an average peak value of 14000-15000 photons/s. When t = 0.408 s, the fluorescence increases from 11000 photons/s to 19000 photons/s and when t= 0.879 the fluorescence increases from 17000 photons/s to approximately The oscillation in flow rate due to the peristaltic ac- tion is visible in the fluctuation of the fluorescence measurement. For example, the period of the oscillation when t= 0.408 (approximately 25 s) is consistent with the time elapsed between the squeezing action of suc- cessive rollers in the peristaltic pump (8 rollers, angular speed of 0.28 RPM). The variation in minimum and maximum fluorescence is due to the variation in overal residence time of the mixing fluids. This is confirmed by the fact that the fluorescence for the baseline (an FBS stream pumped under identical conditions) does no vary with time for each experiment. The percentages o maximum mixing obtained with the peristaltic pump action alone and with the pulsatile mixer are shown in Table 2. In the previous image analysis study [Truesdel (2002), Truesdell et al. (2003)], the mixing fractions un- der similar conditions (t = 0.408) were, respectively,](https://figures.academia-assets.com/40711368/figure_006.jpg)





