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MAE 341 Fluid Mechanics Review for Final The final exam is ...

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<strong>MAE</strong> <strong>341</strong> <strong>Fluid</strong> <strong>Mechanics</strong><strong>Review</strong> <strong>for</strong> <strong>Final</strong><strong>The</strong> <strong>final</strong> <strong>exam</strong> <strong>is</strong> comprehensive. It will cover chapters 1 through 8. For chapters 1through 6 refer to the three review sheets handed out earlier <strong>for</strong> <strong>exam</strong>s no. 1 and 2.Chapter 7: Dimensional Analys<strong>is</strong> and Similitude (sec. 7-1, 7-2, 7-3, 7-4, 7-5, 7-6)• Dimensional analys<strong>is</strong> – most fluid-dynamics problems cannot be solved analytically,and one must resort to experimental methods to establ<strong>is</strong>h relationships between thevariables of interest. Dimensional analys<strong>is</strong> <strong>is</strong> a mean to determine the minimumnumber of experiments required to solve the problem.• Tool in dimensional analys<strong>is</strong>: use of Buckingham PI theorem to <strong>for</strong>mdimensionless parameters (Read sec. 7-3):1. L<strong>is</strong>t parameters involved in problem.2. Identify number of fundamental units in problem3. Select set of repeating parameters.4. Determine dimensionless parameters (or PI parameters).• Some dimensionless numbers of interest: Reynolds number Re D (based on lengthscale D), Froude number Fr, Mach number M, Strouhal number St.• Concept of geometrical similarity (match geometrical shape) and dynamicsimilarity (match dimensionless parameters resulting from dimensional analys<strong>is</strong>).• Similitude – method of relating prototype condition to model conditions (and viceversa).Chapter 8: Internal Incompressible V<strong>is</strong>cous Flow (sect. 8-1, 8-2, 8-3, 8-6, 8-7, 8-8.1).In th<strong>is</strong> chapter, we consider internal (flows bounded by solid surfaces)incompressible laminar and turbulent flows. Recall that laminar flow <strong>is</strong> characterizedby smooth motion in laminae (or layers) with no macroscopic (or large-scale) mixing,while turbulent flow <strong>is</strong> characterized by random 3D/unsteady flow fluctuations (cannotneglect / tand / x iterms in the Navier-Stokes equations!) with large-scale mixing.Due to the complexity of the full Navier-Stokes equations (i.e. non-linear & coupledpartial differential equations), few exact solutions ex<strong>is</strong>t and many engineeringcalculations <strong>for</strong> internal v<strong>is</strong>cous flows rely on experimental correlations.In th<strong>is</strong> chapter, we shall introduce (1) some simple exact solutions <strong>for</strong> laminar flows,and (2) a general technique to estimate turbulent flows in complex piping systems basedon experimental correlations. In most cases, the goal <strong>is</strong> to calculate the relationshipbetween flow rate and pressure drop.For laminar and fully-developed flows, we derived exact v<strong>is</strong>cous solutions <strong>for</strong> somesimple cases, including 1) flow between parallel plates (stationary and moving plates),and 2) flow in a pipe. One important finding about these flows <strong>is</strong> that the pressuredecreases linearly with x (i.e. dp/dx=constant). Some important results:• For flow between stationary parallel plates of length L and width W separating bya d<strong>is</strong>tance h (L >> h), the relationship between the flow rate Q and the pressuredrop p <strong>is</strong>:


3Q h p=(8.6c)W 12µL• For flow between parallel plates (one stationary and one moving with speed U),we have:3Q Uh h dp= (8.9b)W 2 12µ dx• For flow in a pipe of diameter D, we have:D pQ = 4128 µL(8.13c)Using the abover result, we can express the head loss h lin terms of the frictionfactor f lam<strong>for</strong> laminar flow as:2pL Vhl = flamwhere f lam= 64DVand Re =D 2ReµApplications of these exact solutions <strong>for</strong> laminar flows are limited to low Reynoldsnumber flows such as lubrication. Recall that the Reynolds number Re <strong>is</strong> a measure ofthe inertial <strong>for</strong>ce over the v<strong>is</strong>cous <strong>for</strong>ce.For most applications, the flow <strong>is</strong> turbulent and no exact solution ex<strong>is</strong>ts even <strong>for</strong>the simplest geometry. We must resort to experimental correlations to tackle theseproblems. For flows in complex piping systems, the energy equation <strong>is</strong> employed. Ittakes on the <strong>for</strong>m:22 p1V1 p2V2 + 1+ gz1 + 2+ gz2 = h lT(8.28) 2 2 where 1 1 and 2 1 (<strong>for</strong> turbulent flow), and h lT<strong>is</strong> the total head loss which <strong>is</strong>determined from experimental correlations. In general, the total head loss <strong>is</strong> expressed as222 L V L= +e , n VnVmhlTff + Km D 2 n D 2 m 2 where the first term on the RHS represents the major loss due to the straight pipesections, and the second term in parenthes<strong>is</strong> on the RHS represents the minor losses dueto pipe entrance, contraction/expansion sections, valves, elbows, bends, etc … <strong>The</strong>major loss <strong>is</strong> expressed in terms of the friction factor f which can be obtained from Fig.8.12 (pg. 339). In general, the friction factor <strong>is</strong> a function of the Reynolds number Reand the roughness ratio e/D. Figure 8.14 indicates that <strong>for</strong> rough pipes, the frictionfactor f <strong>is</strong> a weak function of Re. <strong>The</strong> minor losses weak functions of Re, and are oftenexpressed in terms of an “equivalent” pipe length L eor a loss coefficient K . <strong>The</strong>separameters are determined from tabulated tables and curves. Please read section 8-8 onhow to solve single-path pipe flow problems.<strong>Final</strong>ly, if v<strong>is</strong>cous loss <strong>is</strong> neglected, i.e. h lT =0, Eq. (8.28) reduces to the Bernoulliequation.


Chapter 9: External Incompressible V<strong>is</strong>cous Flow (sect. 9-1, 9-7).In th<strong>is</strong> chapter, we consider external (flows over bodies immersed in an unboundedfluid) incompressible laminar and turbulent flows. <strong>The</strong> goal <strong>is</strong> to calculate the drag<strong>for</strong>ce over the body. Again, due to the complexity of the governing flow equations (i.e.the Navier-Stokes equations), few exact solutions ex<strong>is</strong>t and many engineeringcalculations <strong>for</strong> v<strong>is</strong>cous flows rely on experimental correlations. In th<strong>is</strong> chapter, we shallintroduce (1) a simple exact solution to illustrate the difficulties associated with solvingthe Navier-Stokes equations, and (2) a general technique to estimate drag <strong>for</strong>ce overcomplex geometry based on experimental correlations.We first consider the flow over a stationary flat plate where we introduce theboundary-layer concept. Here, the flowfield <strong>is</strong> divided into two regions. Near thesurface, both v<strong>is</strong>cous <strong>for</strong>ce and inertia <strong>for</strong>ce are important, and the velocity varies fromzero at the surface (due to the no-slip condition) to the freestream velocity at the edge ofthe region – the so-called boundary layer region. Outside the boundary layer region, theflow can be assumed inv<strong>is</strong>cid – the so-called inv<strong>is</strong>cid flow region. In a boundary-layerapproximation, we assume that the boundary layer thickness <strong>is</strong> thin. For laminar flow,it can be shown that the scaling of the boundary layer thickness <strong>is</strong> as follows: 1Ux where Rex12 /x RexµMost external-flow applications have “large” Reynolds numbers (Re >> 1). If the body <strong>is</strong>a streamlined body, the boundary layer approximation <strong>is</strong> very accurate (e.g. flow overan airfoil near the design condition). For bodies that are not streamlined (or bluffbodies), large separated region ex<strong>is</strong>t near the surface and the boundary layerapproximation does not apply here (e.g. flow over a cylinder).For laminar flow over a flat plate in the absence of a pressure gradient (i.e. thestatic pressure in the inv<strong>is</strong>cid-flow region <strong>is</strong> constant), the Navier-Stokes equation can besolved analytically. <strong>The</strong> exact solution yields the following key results: 5UxBoundary layer thickness:= Re/x (9.13)12x RexµD 1328 .ULDrag coefficient:CD = Re/L(9.33)1122U AReLµ2where A <strong>is</strong> the total surface area in contact with the fluid. For a flat plate, A=LW whereL and W are the length and width of the flat plate, respectively. Note that the aboveresults are applicable in the range of roughly Re L 10 5 .As be<strong>for</strong>e, <strong>for</strong> turbulent flows, there ex<strong>is</strong>ts no exact solution even <strong>for</strong> the simplestflow, and we must rely on experimental correlations to estimate drag <strong>for</strong>ce. Usingdimensional analys<strong>is</strong>, it <strong>is</strong> possible to tabulate test data <strong>for</strong> various geometries of practicalinterest (e.g. flat plate, cylinder, sphere, d<strong>is</strong>k). In many cases, it can be shown that thedrag coefficient <strong>is</strong> at most a function of the Reynolds number.


For a flat plate, assuming fully turbulent flow over the flat plate, variouscorrelations <strong>for</strong> drag coefficient ex<strong>is</strong>t. One such correlation <strong>is</strong> (see also Fig. 9.8 on page5 7440 – valid <strong>for</strong> 5× 10 < Re L< 10 ): 0.382Boundary layer thickness:=x Re (9.26)15 /xD 0074 .Drag coefficient:CD =(9.34)1152U ARe /L2Note the difference in the scaling of C D with Re L between laminar flow (power 1/2) andturbulent flow (power 1/5). Using the above results, we see thatturb310 /CDturb,310 /= 0. 0764 Rex= 0. 0557 ReLClamDlam ,For a typical application in the turbulent flow regime with Re = 50 L. × 106 , the aboveresult shows that CD, turb/ CD,lam= 5.7 . Clearly, use of the laminar-flow result in theturbulent-flow regime would have underestimated the drag <strong>for</strong>ce by a factor of 5.7!For flows over bluff bodies, it turns out that the effect of Reynolds number <strong>is</strong>weak <strong>for</strong> many geometries, and the drag coefficient (usually normalized to the frontalarea A) <strong>is</strong> a constant over a wide range of Reynolds number of practical interest (e.g.Table 9.3 on page 443). For <strong>exam</strong>ple, <strong>for</strong> a d<strong>is</strong>k, the drag coefficient <strong>is</strong> C D =1.17 <strong>for</strong>Re D >10 3 (frontal area <strong>is</strong> D 2 / 4 ). <strong>The</strong> drag over some bluff-body geometries such as asphere (Fig. 9.11 on page 444) and a cylinder (Fig. 9.13 on page 446) does depend on theReynolds number.

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