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Fanno flow

Fanno flow, named after the Gino Fanno, is a model in describing the steady, one-dimensional, adiabatic flow of a compressible through a constant-area duct with wall friction but no heat transfer. This flow represents frictional effects in confined channels, where wall influences thermodynamic and flow properties, often leading to when the reaches unity at the duct exit. The fundamental assumptions of Fanno flow include steady-state conditions, negligible heat conduction through the walls, fully developed velocity profiles, and constant specific heats for the . Governing equations derive from , , and : mass ensures constant (\rho V A = \constant), the energy equation maintains constant (T_0 = \constant), and the momentum equation incorporates frictional losses via the Darcy friction factor f, relating changes in M to duct length through \frac{f L}{D_h} = \frac{1 - M^2}{\gamma M^2} + \frac{\gamma + 1}{2\gamma} \ln \left( \frac{(\gamma + 1) M^2}{2(1 + \frac{\gamma - 1}{2} M^2)} \right), where \gamma is the specific heat ratio and D_h is the . These relations allow prediction of variations in , , and along the duct. In Fanno flow (inlet M < 1), friction accelerates the flow, decreasing static pressure and temperature while increasing toward 1, potentially causing if the duct is sufficiently long. Conversely, supersonic inlet flow (M > 1) decelerates due to friction, with pressure and temperature rising as decreases to 1, also risking at a maximum duct length. increases irreversibly along the flow path due to frictional dissipation, distinguishing Fanno flow from isentropic processes. Fanno flow has practical applications in , such as analyzing gas transport in pipelines, designing nozzles where frictional choking limits performance, and modeling internal flows in systems. Numerical tools like the Generalized Fluid System Simulation (GFSSP) validate these models by accurately predicting property distributions under frictional constraints.

Fundamentals

Definition and Assumptions

Fanno flow refers to the steady, one-dimensional, of an through a duct of constant cross-sectional area, where wall effects are significant but there is no or work done on the . This model captures the behavior of gases in pipelines or nozzles under frictional adiabatic conditions, distinguishing it from frictionless isentropic flows by incorporating irreversible losses due to shear at the walls. The concept is named after Gino Girolamo Fanno, an mechanical engineer who first analyzed it in his 1904 master's thesis on compressible gas in ducts. Fanno's work laid the foundation for understanding how alters properties in constant-area conduits, influencing modern applications in propulsion and piping systems. Key assumptions underlying the Fanno model include a steady-state process, one-dimensional approximation where velocity varies only along the duct axis, and treatment of the fluid as an with constant specific heats. The is adiabatic, meaning no occurs (q = 0), and the duct has constant cross-sectional area (dA = 0), with negligible body forces such as gravity. is modeled using the Darcy-Weisbach equation with a constant f, assuming fully developed turbulent and ignoring entrance effects. Initial conditions for Fanno flow typically involve (Mach number M < 1) or supersonic (M > 1) inlet , with the duct length determining whether the reaches conditions (M = 1) at the , known as , if is sufficient to decelerate or accelerate the to the . Boundary conditions are set by specifying inlet stagnation properties and the friction parameter, ensuring the remains choked for maximum under given constraints.

Governing Equations

The governing equations for Fanno flow are derived from the fundamental conservation laws applied to one-dimensional, steady, in a constant-area duct with wall friction and no or external work. These equations describe the evolution of flow properties along the duct length. The , expressing mass conservation, states that the is constant: \rho u A = \constant For a duct of constant cross-sectional area A, this simplifies to the differential form: \frac{d\rho}{\rho} + \frac{du}{u} = 0 where \rho is the fluid density and u is the flow velocity. The momentum equation accounts for the balance between pressure forces, inertial effects, and frictional shear at the wall. In differential form, it is: \rho u \, du + dp + \left( \frac{f \, dx}{D_h} \right) \frac{\rho u^2}{2} = 0 where p is the static pressure, f is the Darcy friction factor (a dimensionless measure of wall shear stress), and D_h is the hydraulic diameter of the duct. The term \frac{f \, dx}{D_h} \frac{\rho u^2}{2} represents the frictional pressure drop over an infinitesimal length dx. The energy equation reflects the adiabatic nature of the flow, with total conserved along a streamline: h + \frac{u^2}{2} = \constant For an with specific heat, this becomes: T + \frac{u^2}{2 c_p} = \constant where h = c_p T is the static , T is the static , and c_p is the specific heat at pressure. The equation of state for an closes the system of equations: p = \rho R T where R is the specific . A key non-dimensional parameter in Fanno flow analysis is the , defined as: M = \frac{u}{a} where a = \sqrt{\gamma R T} is the local and \gamma = c_p / c_v is the ratio of specific heats. The characterizes the flow regime, with (M < 1) and supersonic (M > 1) behaviors differing significantly due to .

Theoretical Derivation

Conservation Laws Application

The application of conservation laws to Fanno flow involves deriving differential equations that describe the evolution of flow properties along the duct length, based on steady, one-dimensional, adiabatic flow of an in a constant-area conduit with wall . The ensures constant , \rho u = \dot{m}/A = constant, leading to \frac{d\rho}{\rho} + \frac{du}{u} = 0. The energy equation, reflecting adiabatic conditions with no shaft work or , conserves total : h + \frac{u^2}{2} = constant. For an , this simplifies to c_p T + \frac{u^2}{2} = constant, yielding the differential relation \frac{dT}{T} = -(\gamma - 1) M^2 \frac{du}{u}, where \gamma is the specific heat ratio and M is the . The momentum equation accounts for pressure forces, convective momentum changes, and frictional at the wall. For a differential of length dx, the balance gives dp \, A + \rho u \, du \, A = -\tau_w \, P \, dx, where A is the cross-sectional area, P is the wetted perimeter, and \tau_w = f \frac{\rho u^2}{2} is the wall using the f. Substituting and nondimensionalizing by \rho u^2 yields \frac{dp}{\rho u^2} + \frac{du}{u} + \frac{4 f \, dx}{D_h} = 0, where D_h = 4 A / P is the . Since M^2 = u^2 / a^2 = \rho u^2 / (\gamma p) with a = \sqrt{\gamma p / \rho}, this becomes \frac{dp}{p} + \gamma M^2 \frac{du}{u} + \gamma M^2 \left( \frac{4 f \, dx}{D_h} \right) = 0. Combining these with the p = \rho R T (so \frac{dp}{p} = \frac{d\rho}{\rho} + \frac{dT}{T}) eliminates intermediate variables like pressure and temperature to obtain a single governing the evolution. Substituting the and relations into the gives \frac{dM^2}{M^2} = \frac{\gamma M^2 \left(1 + \frac{\gamma - 1}{2} M^2 \right)}{1 - M^2} \frac{4 f \, dx}{D_h}, where D_h is the ; this form serves as the precursor to the integrated Fanno parameter \frac{4 f L^*}{D_h}. For inlet (M < 1), friction accelerates the (du > 0), increasing M toward ; for supersonic inlet (M > 1), it decelerates toward . Friction also leads to an increase in along the duct, as required by the second law of thermodynamics for irreversible processes. A key outcome is the condition: as M approaches 1, the denominator $1 - M^2 approaches zero, making \frac{dM^2}{dx} infinite, which prevents further acceleration or deceleration without external adjustments. Thus, conditions (M = 1) occur at a finite duct L^* from the , establishing the maximum achievable for given stagnation conditions and duct geometry, beyond which the flow chokes and upstream conditions must adjust to maintain .

Normalization and Non-Dimensional Parameters

To analyze Fanno flow independently of specific inlet conditions or duct geometries, the governing equations are normalized using non-dimensional parameters that scale properties relative to a reference state at the sonic point. This reference state, denoted by an asterisk (*), corresponds to the location where the flow reaches M^* = 1, with associated sonic p^*, T^*, \rho^*, and u^* = a^* (the at sonic conditions). The point represents the maximum length for a given inlet before the flow becomes sonic, beyond which adjustments in upstream conditions are required to maintain . The primary non-dimensional parameter for characterizing frictional effects in Fanno flow is the length scale \frac{4f L^*}{D_h}, where f is the , L^* is the distance from the inlet to the sonic reference point, and D_h is the of the duct. This parameter arises from integrating the differential momentum equation along the duct, which relates changes in to friction and geometry. The derivation begins with the (\rho u A = \dot{m} = constant), the energy equation (constant T_0), and the momentum equation incorporating wall \tau_w = f \frac{\rho u^2}{2}, leading to the differential form \frac{dM}{dx} = \frac{\gamma M}{2(1 + \frac{\gamma-1}{2} M^2)} \cdot \frac{4f}{D_h} \cdot \frac{1 + \gamma M^2}{1 - M^2}. Rearranging and integrating from an initial M to the sonic condition M = 1 yields the non-dimensional length as \frac{4f L^*}{D_h} = \int_M^1 \frac{1 - M'^2}{\gamma M'^4 \left(1 + \frac{\gamma-1}{2} M'^2 \right)} d(M'^2). The closed-form solution for this integral, obtained through algebraic manipulation and logarithmic integration, is \frac{4f L^*}{D_h} = \frac{1 - M^2}{\gamma M^2} + \frac{\gamma + 1}{2\gamma} \ln \left( \frac{(\gamma + 1) M^2}{2 + (\gamma - 1) M^2} \right). This expression allows direct computation of the choking length for any inlet M < 1 (subsonic) or M > 1 (supersonic), with the serving as the key independent variable for tabulating flow behavior. Another important non-dimensional quantity in Fanno flow analysis is the impulse function, defined as I = p A (1 + \gamma M^2), where A is the constant duct cross-sectional area. This function emerges from the integrated equation, balancing forces, flux, and frictional losses: dI = -4 \tau_w dx, indicating that I decreases monotonically along the duct due to irreversible , even as stagnation enthalpy remains constant. The variation of I relative to its sonic value I^* = p^* A (1 + \gamma) provides insight into or requirements for ducted flows, with I / I^* = \frac{p / p^* (1 + \gamma M^2)}{1 + \gamma}.

Flow Characteristics

Thermodynamic Property Variations

In Fanno flow, the variations in thermodynamic properties along the constant-area duct are governed by the effects of wall under adiabatic conditions, with total temperature remaining constant. These variations are expressed in non-dimensional form relative to the sonic reference state (denoted by *), where the M = 1 at the choking point. In the subsonic regime (M < 1), as the flow progresses downstream toward choking, the increases, the static velocity increases, the static temperature and decrease, the density decreases, and the decreases due to frictional irreversibilities. In the supersonic regime (M > 1), as the flow progresses downstream toward choking, the decreases, the static velocity decreases, the static temperature and increase, the density increases, and the decreases. The increase in specific entropy along the duct in both regimes reflects the irreversible nature of friction, given by the differential relation ds = c_p \frac{dT}{T} - R \frac{dp}{p} > 0, where the pressure drop term dominates, ensuring positive entropy generation despite the temperature change. The key non-dimensional ratios for an ideal gas with constant specific heat ratio γ are derived from the conservation laws and are as follows. The static temperature ratio is \frac{T}{T^*} = \frac{\gamma + 1}{2 + (\gamma - 1) M^2}. The static velocity ratio is \frac{u}{u^*} = M \sqrt{\frac{T}{T^*}} = M \sqrt{ \frac{\gamma + 1}{2 + (\gamma - 1) M^2} }. The static pressure ratio is \frac{p}{p^*} = \frac{1}{M} \sqrt{ \frac{T}{T^*} } = \frac{1}{M} \sqrt{ \frac{\gamma + 1}{2 + (\gamma - 1) M^2} }. The stagnation pressure ratio is \frac{p_0}{p_0^*} = \frac{p}{p^*} \left( \frac{2 + (\gamma - 1) M^2}{\gamma + 1} \right)^{\frac{\gamma}{\gamma - 1}} = \frac{1}{M} \left( \frac{2 + (\gamma - 1) M^2}{\gamma + 1} \right)^{\frac{\gamma + 1}{2(\gamma - 1)}}. These relations hold for both and supersonic branches, with the reference state representing the endpoint if the duct were sufficiently long to reach . For air modeled as an with γ = 1.4, the following table illustrates representative property ratios at selected numbers, computed using the above equations to highlight the trends in each regime.
MT/T*p/p*u/u*p₀/p₀*
0.21.19055.4550.21822.9635
0.51.14292.1380.53451.340
0.81.06381.2890.8251.038
1.01.00001.0001.0001.000
1.20.93150.8051.1591.031
1.50.82760.6071.3651.177
2.00.66670.4081.6331.686
3.00.42860.2181.9644.235

Fanno Line Representation

The Fanno line serves as a graphical tool on the enthalpy-entropy (h-s) diagram to visualize the thermodynamic states attainable in adiabatic, al flow through a constant-area duct. It depicts how drives the flow toward conditions, highlighting limitations such as . The line is constructed by connecting states that maintain constant total enthalpy h_0 = h + \frac{u^2}{2} and constant G = \rho u, yielding a curve that extends from (M < 1) conditions at higher enthalpy and lower to the sonic point (M = 1) and then to supersonic (M > 1) conditions at lower enthalpy and higher . This locus arises from the and under frictional effects, without or area change. A defining feature is the maximum at the sonic point (M = 1), marking the condition where further friction cannot accelerate the flow without adjustment elsewhere in the system. The branch occupies the upper portion of the curve, above the Rayleigh line intersection, while the supersonic branch lies below, preventing direct transition between branches via friction alone. The slope \frac{dh}{ds} along the line corresponds to the local static T, embodying the irreversible frictional dissipation that generates and effectively heats the flow, causing to decrease as rises toward the choking point. The area beneath the curve relates to the cumulative frictional work, quantifying the due to wall shear. For analysis, the Fanno line enables determination of the maximum duct length L_{\max} before by integrating the friction parameter \frac{fL}{D} from an initial to M = 1 along the curve. It also facilitates positioning of normal shocks in supersonic inflows, where the path jumps discontinuously from the supersonic branch to the branch to match downstream conditions. In contrast to the Rayleigh line, which models constant-area flow with heat addition but negligible friction, the Fanno line captures purely frictional adiabatic processes; the two lines intersect at the sonic choking point, representing combined thermal and frictional choking when both effects are present.

Practical Aspects

Engineering Applications

Fanno flow principles find practical application in the modeling of compressible gas transport through long pipelines, where friction-induced pressure drops can lead to choking conditions that limit maximum flow rates. In natural gas transmission systems, engineers use Fanno flow analysis to predict the onset of sonic conditions at the pipeline outlet, ensuring safe operation by sizing pipe diameters and lengths to prevent excessive backpressure or flow restrictions. For instance, simulations of high-pressure buried gas pipelines incorporate Fanno parameters to account for wall friction and adiabatic effects, optimizing transport efficiency over hundreds of kilometers. In propulsion systems, governs the behavior of supersonic gases in constant-area exhaust ducts of motors and engines, where frictional losses reduce total pressure and influence performance. engines, lacking mechanical compressors, rely on Fanno flow models in the post-combustion duct to analyze how decelerates subsonic flow toward , aiding in the of isolator sections to maintain stable combustion. Similarly, in exhaust systems, Fanno analysis evaluates effects in short, constant-area segments downstream of the , helping to minimize performance degradation from wall shear. Industrial applications include high-speed gas flow in ducts and chemical process , where compressible effects become significant at numbers above 0.3, requiring Fanno flow to assess recovery and avoid unintended . In power plant steam lines and process pipes handling hot gases, the model predicts increases due to , guiding the selection of materials and to maintain adiabatic conditions. These analyses ensure reliable operation in environments like chemical reactors, where flow could disrupt production rates. Design considerations for Fanno flow emphasize determining the maximum duct length L_{\max} to prevent , calculated from inlet using standardized Fanno tables or charts that relate non-dimensional parameters to flow properties. Engineers estimate the f via the Moody diagram, incorporating wall roughness \epsilon relative to D_h, typically yielding values between 0.005 and 0.02 for commercial pipes. This approach allows precise sizing of ducts in compressors and nozzles, balancing friction losses against desired exit conditions while referencing thermodynamic property variations for initial state inputs. Historically, Gino Fanno introduced the model in his 1904 master's thesis, applying it to analyze frictional losses in steam flow through insulated tubes, providing foundational insights for early 20th-century designs.

Limitations and Extensions

The Fanno flow model relies on several idealizations that limit its applicability to real-world scenarios. It assumes a constant f, derived from theory, which overlooks variations due to changes in wall roughness, flow regime transitions, or effects at higher numbers. This assumption leads to inaccuracies in predicting drops and lengths in ducts where surface conditions evolve. Additionally, the one-dimensional approximation neglects development and radial variations in velocity and temperature profiles, which become significant in micro-channels or long ducts, resulting in overestimation of flow uniformity and underprediction of viscous losses. The model further presumes an with constant specific heats, rendering it unsuitable for high-temperature or high-pressure environments where effects, such as intermolecular forces and variable specific heats, dominate, particularly in dense gases near the critical point. Although the standard formulation excludes shock waves, they can occur in supersonic Fanno flows, but the model's simplified equation dampens their propagation over extended distances, limiting analysis of shock-induced rises. Extensions to the Fanno model address these shortcomings by incorporating more realistic physics. For variable area ducts, combined Fanno-Rayleigh flows integrate friction with heat addition or geometric variations, enabling better modeling of isolators where area scheduling prevents thermal and optimizes recovery. effects are incorporated using equations of state like van der Waals or the Martin-Hou model, allowing solutions for dense gases that exhibit multiple points and altered behavior, unlike the single sonic limit in ideal gases. Shock waves in supersonic regimes are analyzed via Rankine-Hugoniot relations adapted to frictional ducts, capturing abrupt property jumps while accounting for wall drag attenuation. Numerical methods have further broadened the model's utility beyond analytical limits. Finite difference schemes, often via Runge-Kutta integration of the governing ODEs, solve for non-constant friction factors by correlating them to local and Reynolds numbers from CFD validations, achieving errors below 1% in micro-channel predictions. For friction, integrating Navier-Stokes equations in quasi-2D frameworks refines the one-dimensional core flow, incorporating compressible velocity profiles and thermophysical variations. Recent research emphasizes Fanno flow extensions in hypersonic applications, particularly scramjets, where friction dominates in isolators under 4–10 conditions. Post-2020 studies apply to variable-area Fanno flows, maximizing exit performance via bang-bang area profiles, and couple them with dynamic-thermodynamic models for vehicle integration, highlighting future needs for multi-dimensional simulations to handle 3D shock trains and real-gas dissociation.

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