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NASA Technical Reports Server (NTRS) 20020024646: Development of Flow and Heat Transfer Models for the Carbon Fiber Rope in Nozzle Joints of the Space Shuttle Reusable Solid Rocket Motor PDF

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Preview NASA Technical Reports Server (NTRS) 20020024646: Development of Flow and Heat Transfer Models for the Carbon Fiber Rope in Nozzle Joints of the Space Shuttle Reusable Solid Rocket Motor

AIAA 2001-3441 DEVELOPMENT OF FLOW AND HEAT TRANSFER MODELS FOR THE CARBON FIBER ROPE IN NOZZLE JOINTS OF THE SPACE SHUTTLE REUSABLE SOLID ROCKET MOTOR Q. Wang, M.E. Ewing, E.C. Mathias, J. Heman, C. Smith ATK Thiokol Propulsion Corp. P.O. Box 707, M/S 252 Brigham City, UT 84302 37th AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit July 8-11, 2001 Salt Lake City, Utah For permission to copy or to republish, contact the American Institute of Aeronautics and Astronautics, 1801 Alexander Bell Drive, Suite 500, Reston, VA, 20191-4344. Development of Flow and Heat Transfer Models for the Carbon Fiber Rope in Nozzle Joints of the Space Shuttle Reusable Solid Rocket Motor Qunzhen Wang*, Mark Ewing +,Ed Mathias ÷,Cory Smith §and Joe Heman + ATK Thiokol Propulsion Company, Brigham City, UT Methodologies have been developed for modeling both gas dynamics and heat transfer inside the carbon fiber rope (CFR) for applications in the space shuttle reusable solid rocket motor joints. Specifically, the CFR is modeled using an equivalent rectangular duct with a cross-section area, friction factor and heat transfer coefficient such that this duct has the same amount of mass flow rate, pressure drop, and heat transfer rate as the CFR. An equation for the friction factor is derived based on the Darcy-Forschheimer law and the heat transfer coefficient is obtained from pipe flow correlations. The pressure, temperature and velocity of the gas inside the CFR are calculated using the one-dimensional Navier-Stokes equations. Various subscale tests, both cold flow and hot flow, have been carried out to validate and refine this CFR model. In particular, the following three types of testing were used: (1) cold flow in a RSRM nozzle-to-case joint geometry, (2) cold flow in a RSRM nozzle joint No. 2 geometry, and (3) hot flow in a RSRM nozzle joint environment simulator. The predicted pressure and temperature history are compared with experimental measurements. The effects of various input parameters for the model are discussed in detail. and SHARP _1'z2'13,a general purpose computational INTRODUCTION fluid dynamics (CFD) code. The pressure, temperature and velocity of the gas in the flow paths are calculated The carbon fiber rope (CFR), which was originally in SHARP by solving the one-dimensional Navier- developed at NASA Glenn Research Center to meet the Stokes equations in a time-accurate manner while the requirements of advanced hypersonic engines, t'2 is heat conduction in the solid is modeled by SINDA/G. being considered as a replacement for the thermal SFLOW is much more accurate than ORING2 and barriers currently used to protect O-rings in the joints of other similar codes 14'j5where empirical correlations are the space shuttle reusable solid rocket motor (RSRM), used to predict the mass flow rate and other flow specifically, the nozzle-to-case joint and nozzle joint properties by assuming the flow is adiabatic and quasi- No. 2. The CFR currently under consideration readily steady. On the other hand, a SFLOW prediction takes conforms to various RSRM joint assembly conditions, much less CPU time than a transient 3D CFD and has the ability to cool combustion gases, filter slag calculation because of the ID flow assumption and the and particulates, and diffuse impinging gas jets. 3'4'5'6 larger time step in the solid region, Steinetz and Dunlap 7 have studied the feasibility of using a CFR as a thermal barrier to hot combustion The problem of modeling flow and heat transfer in this gases inside RSRM joints and found that a CFR could application is complicated by highly transient and withstand 2500°F combustion gases on the upstream compressible flow conditions. Very little relating to the side with very little temperature rise on the downstream topic can be found in the open literature. Some work side. Foote 8also describes the similar use of a CFR, for has been reported on related flow modeling by the the purpose of slag filtering, in the field joints of the NASA Glenn Research Center, which was aimed at the Titan IV solid rocket motor. prediction of leakage through the porous CFR "seal." Specifically, Mutharasan et al. 16,17 proposed a The main objective of this paper is to develop both flow mathematical model for leakage flow through the and heat transfer models for the CFR in RSRM joints within the framework of SFLOW 9. SFLOW is a braided rope which enables prediction of gas leakage rate as a function of fiber diameter, fiber packing thermal-flow code recently developed to model the gas density, gas properties, and the pressure drop across the dynamics and heat transfer inside RSRM joints by combining SINDA/G l°, a commercial thermal analyzer, rope. This model was later modified by Cai et al. 18,19to take into account the effect of lateral preload and ©2001,ATK ThiokolPropulsionCorp. PublishedbytheAmericanInstituteofAeronauticsandAstronautics,Inc.,withpermission. St. PrincipalEngineer,GasDynamics,AIAAmember +St.PrincipalEngineer,HeatTransfer,AIAAmember _SeniorEngineer,HeatTransfer enginperessures. environment simulator (JES) 6'z4. Parameters needed in the CFR models such as permeability are derived from Whilethesemodelcsouldbeusedtopredicmt assflow these tests by matching predicted results with measured ratesthroughtheCFRif thepressurderopacrostshe data. The predicted pressure and temperature history at ropeis knownt,heydonotaddrestsheheattransfer various locations are compared with experimental betweegnasandsolidinsidetheCFR. The heat transfer measurements. is an important part of the present study because gas temperature downstream of the CFR and whether this This paper is organized as follows. The governing temperature is high enough to cause hardware problems equations and numerical methods used in SFLOW are are the major concerns in RSRM applications. summarized in the next section followed by details of Moreover, as shown later in this paper, the heat transfer the CFR model. The predicted pressure and temperature from the hot combustion gas to the solid surfaces from SFLOW using this model as well as the effects of strongly affects the mass flow rate. Furthermore, the various input parameters are presented next. Finally, the influence of gland geometries may result in flow conclusions are summarized and future work is resistances that differ from those in the NASA-Glenn discussed. studies. NUMERICAL METHODS Methodologies are developed in this paper for modeling In SFLOW, the gas can be either in a flow path or a both the gas dynamics inside CFR and the heat transfer volume (i.e., cavity), which are treated very differently. from hot combustion gases to solid fibers. In particular, The gas in a volume is assumed to be in an equilibrium the CFR is modeled using an equivalent rectangular state with no velocity and uniform pressure and duct with a cross-section area, friction factor and heat temperature (i.e., pressure and temperature are transfer coefficient such that the mass flow rate, functions of time only) whereas the pressure, pressure drop, and heat transfer rate are the same as temperature and velocity in a path are functions of both those in the CFR. The pressure, temperature and time and location. A path has to be connected with a velocity of the gas inside this duct are calculated using volume at one end; the other end can be connected to a the one-dimensional Navier-Stokes equations. An volume or a solid wall, which could be either adiabatic equation for the friction factor is derived based on the or conducting heat away to the solid region. Details of Darcy-Forschheimer law and the heat transfer how the flow fields in both paths and volumes are coefficient is obtained from pipe flow correlations. solved as well as how the friction factor and heat Note that this model is similar to those of Emanuel and transfer coefficient are obtained in SFLOW are Jones z°, Beavers and Sparrow 21,as well as the so-called discussed in this section. capillary models 22in that they all involve applications of the Navier-Stokes equations to flows in small cross- Pressure1 Temperature and Velocity in Paths section area ducts. However, there are important differences. For example, while the current model The transient compressible flow in a path is modeled considers the flow to be transient with heat transfer using SHARP ll'lz'j3, which is a general-purpose CFD between gas and solid, all other models assume the flow code. While SHARP can solve 1D, 2D as well as 3D is steady and adiabatic. Note also that, while most of problems, all results shown in this paper assume one- the porous media literature assumes thermal dimensional flow in paths to save CPU time and equilibrium conditions (i.e., no temperature difference memory. In 1D, SHARP solves the Navier-Stokes between gas and solid inside the porous material) 23,the equation as CFR model developed in this paper is a non- _)Q + - S (1) equilibrium heat transfer model since a large _t Ox temperature difference could occur between the fluid where the unknowns are phase and solid phase in the application of CFR to the space shuttle RSRM joints due to the highly transient nature of the flow process. Q = A u (2) Various subscale tests, both cold flow and hot flow, have been carried out to validate and refine the current CFR model. In particular, the following three types of In equation (2), A is the cross-section area, which could testing were used: (1) cold flow in a RSRM nozzle-to- be a function of both space x and time t, and p and u case joint geometry 5, (2) cold flow in a RSRM joint 2 geometry 6, and (3) hot flow in a RSRM nozzle joint are the gas density and velocity, respectively. The total The friction factor in equation (6) is obtained from the energy is empirical correlation of Idelchik 25based on both the shape of the path (i.e., circular, rectangular, or triangular) and whether the flow is laminar, turbulent, e = p (cvT +lu2 12 (3) or in transition. The gas flow is divided into laminar, turbulent, and transitional regimes depending on the where T is the gas temperature and cv is the specific cutoff Reynolds numbers defined as heat at constant volume. The inviscid flux term is given by R% = 754 exp(0.0065D h/e) (7) ." _/,--0,11 Ei=A,ou2+p (4) L(e+p)u while the viscous term is I °] Re c = 209 (9) Ev = A r_l (5) where E is the roughness of the flow path. The flow is laminar if the Reynolds number is below Re,, turbulent [_uz_1+ q_ if the Reynolds number is above Re,., and in transitional regime if the Reynolds number is between Re, and Re,.. where "_H and qt are the stress and heat flux, If there are two transitional zones, Reh is used to respectively. The source term in equation (I) is determine which of the two zones the flow is in. The friction factor in a circular flow path is determined #heA based on the flow Reynolds number Re=pUDh/IX, where V j.tis the molecular viscosity, as: S= fApulul l O(flApulul) (6) • for Re <Re. 2D h 2 Ox 64 f = -- (10) Re .A fApu 3 l_(flAp. 3) -q • for Re, _<Re < Re_, V 2D h 2 _x where the is the mass addition rate due to path erosion, f = 4.4 Re -0"595exp(--,, 0.00275e._h)(11)] V is the volume of the flow cell, f is the Darcy friction factor, Dh is the hydraulic diameter of the path, fl is the • for Reb<Re <Re, minor loss coefficient and qis the heat transfer rate from gas to solid walls. The boundary conditions for the f = 0.145 -Val exp(-O.OO172(Re-Re)2)+Val (12) path flowfield are obtained from the pressure and temperature of the volumes connected to this path. Va1:0.758-0.01091S---I (13) Note that the friction term is explicitly accounted for in t equation (6) because the velocity gradient Ou/_y does • for Re > R% not exist in ID. Similarly, the heat transfer term is added in equation (6) due to the fact that the thermal boundary layer is not simulated in SFLOW. The mass addition terms are also added since the erosion or f-l/2 =-2log 3._-D, -i R-_/- _- (14) decomposition of the walls will generate this effect. • for Re,, < Re < Re, and Re_,_<Re, there is only Finally, minor loss terms such as those due to sudden one transitional zone expansion or contraction and turns or bends in the flow path are added in equation (6). f = (7.244Re 4643- 0.32) (15) x exp(- 0.00172 (Re c- Re) 2)+ 0.032 If the flow path is rectangular, the friction factor in the N, = 1.18135 + 2.30595r °4°3245 (24) above equations is multiplied by where the ratio r is defined in equation (18). For F_,, = 1.5-1.9r + 1.96r 2-0.71r 3 (16) turbulent flow, the Nusselt number is calculated using for laminar flow and the following empirical correlation F,,rh= 1.1- 0.2r + 0.2r 2- 0.078r 3 (17) , , fPrRe , ,(,u B"°]" for turbulent flow. The ratio of width and height is N,,=max(Pr2,_,(i.07_12.7 f.q_--_(pr.,,_l)))/U w) (25) defined as where /.tn and /_. are the viscosity evaluated at the I" r = mini16, max(a, b) (18) average gas temperature and wall temperature, L min(a,b) respectively. In the transitional regime, a linear interpolation between the laminar and turbulent Nusselt with a and b being the width and height of the flow number is applied. path. SFLOW can also model the jet impingement heat Pressure and Temperature in Volumes transfer (see reference 9 for details), which usually has Once the flowfield in the path is solved by SHARP, the a much larger heat transfer coefficient than that from pressure and temperature in the volumes can be the above equations. obtained from mass conservation Heat Transfer in Volumes _m=rh +_rh (19) Ot e The heat transfer from the gas in a volume to the solid boundary can be modeled in the following four and energy conservation different ways: (1) using the impingement jet heat transfer correlation; (2) using the heat transfer mc,,r)= Zrhl, cpTp +-_up -i 1 (20) coefficient in the paths connected to this volume; (3) using a conduction length as h=k/l; and (4) using a where the summation is for all paths which connect to user-specified heat transfer coefficient. The user of this volume, rh,, TI, and ut, are the mass flow rate, SFLOW specifies which of these methods should be temperature and velocity at the end of the path, rh, is applied to calculate heat transfer coefficient for all the the rate of mass addition to the gas due to surface gas-solid interfaces in all volumes. erosion, q is the heat transfer rate from the gas to the CFR MODELING solid boundary which includes the convective heat transfer as well as the heat transfer due to erosion. In In this paper, the CFR is modeled using an equivalent addition to equations (19) and (20), the ideal gas law rectangular duct with cross-section area A, friction pV = mRT (21) factor f and heat transfer coefficient h. The pressure, where V is the volume of the cavity, was used to solve temperature and velocity of the gas inside this duct are the pressure p, temperature T, and mass m of the then calculated using the Navier-Stokes equations (1) volume. through (6). The idea is to model the CFR with a duct that has the same amount of mass flow rate, pressure Heat Transfer in Paths drop, and heat transfer rate. The heat transfer coefficient in flow paths can be Gas Dynamics obtained from the Nusselt number as The Darcy-Forschheimer's law for transient compressible flow is given by2123 k h = N,, -- (22) Dh 3u 3u+_p + fl v+bPV 2 =0 (26) where k is the thermal conductivity. According to where thepermeability and velocity based on the Darcy Idelchik 2S, the Nusselt number depends on both the cross-section shape of the path and the flow regime. If area AD (usually frontal area) are denoted by K and v, the flow islaminar and the path is circular respectively, while p is the fluid density and u is the local velocity based on the pore area A. The N,, = 4.36 (23) Forschheimer constant is usually written in terms of the while for rectangular paths permeability as Equation (35) shows that, as expected, the friction b = c/-_ (27) factor is inversely proportional to the permeability. A where c is a non-dimensional empirical constant. For large permeability corresponds to small friction factor one-dimensional compressible flows in a constant area and small permeability to large friction factor for fixed duct, the momentum conservation law is porosity and Darcy area if the Forschheimer term is neglected. Equation (32) indicates that the friction p=}-)-u + pu Ou+Op pu 2 f =0 (zs) bx ax factor is linearly proportional to the hydraulic diameter dt 2 Da and the Forschheimer constant. However, the hydraulic Combining equations (26) and (28) yields diameter has no effect on the flow field because, as shown in equation (28), what appears in the governing pu 2 f _ It v+bPV 2 (29) equation isf/D_,, which is independent of the hydraulic 2 D h K 2 diameter. Therefore, the friction factor can be calculated from the permeability as Equation (35) also shows that the friction factor is proportional to the square of porosity while 2fiB h v c v 2 equation(33) indicates that area is linearly proportional - I-D h 2 (30) f K pu 2 _ u to porosity. Therefore, increasing the porosity by a factor of 10 increases the friction factor by a factor of The mass flow rate in the Darcy configuration with a 100 and cross-section area by 10 for fixed permeability cross-section area of AD is assumed to be the same as and Darcy area. Note that there is no constraint on the that in the SFLOW configuration with a cross-section porosity in the above derivations and, thus, one can area of A, i.e., choose an arbitrary porosity for the CFR. That is, for a pAu = pAov = rn (31) fixed permeability and Darcy area, one can use a small Substituting equation (31) into equation (30) yields porosity (i.e., small cross-section area) with a small friction factor or a large porosity (i.e., large cross- 2flDh (b+ c section area) with a large assumed friction factor to f- puK "-_ Dho2 (32) keep the same mass flow rate and pressure drop across where the porosity is defined as the CFR. Therefore, the porosity has no effect on the A solution of gas flow through a CFR. This is not true, = -- (33) however, when the friction factor is large enough such AD that the flow across the CFR is choked, where the mass flow rate does not change when the friction factor is increased further. Instead, the mass flow rate will be a The above derivations indicate that, if equation (32) is used to calculate the friction factor in SFLOW, the function of cross-section area only and increasing the mass flow rate through the CFR and pressure drop porosity will increase the mass flow rate even though across the CFR will be the same as those corresponding the friction factor is also increased. Furthermore, as to that through a porous media with a Darcy area of Ao, discussed later in this paper, when there is heat transfer permeability of K and Forschheimer constant of c. The between gas and solid, the porosity affects the amount input parameters for this CFR model are Darcy area Ao, of gas inside the CFR and, thus, affects the mass flow rate. Note also that, even for unchoked adiabatic flow, hydraulic diameter Dh, permeability K, Forschheimer constant c, and porosity q_.All of these parameters are porosity may have some effect on the flow field due to assumed to be constant (i.e., independent of both the transient and convective terms in equation (26). location and time) in all results shown in this paper. These two terms are usually neglected in porous media The cross-section area A is obtained from the Darcy studies and, in that case, the porosity has no effect on area and porosity using equation(33). the pressure, temperature and velocity of the gas inside the CFR if the flow is adiabatic and unchoked, If the Forschheimer constant in equation (32)is assumed to be zero, the friction factor can be written as Neglecting the transient term, convective term as well as the Forschheimer term in equation (26), the mass 2flD h flow rate can be written as f- puK 0 (34) th- pApKAD (36) Considering equation (31), the above equation becomes f _ 2//DhA_ ¢2 (35) where L is the length of the CFR and Ap is the pressure &K drop across the CFR. Therefore, the mass flow rate 5 doesnotchangaeslongasKAo is constant because p, Considering equation (22), the heat transfer rate can be Ap, It, and L are fixed for a particular problem. That is, written as if the Darcy area is reduced by a factor of 10, the A,. permeability should be increased by a factor of 10 in _1: kN. (Tg - L )-- (38) Dh order to keep the same mass flow rate. For laminar flow, as shown in equations (23) and (24), Heat Transfer the Nusselt number is constant and, thus, the heat transfer rate is also constant as long as A,/Dh is Most of the porous media literature assumes thermal constant. Therefore, increasing or decreasing both the equilibrium conditions (i.e., no temperature difference surface area and hydraulic diameter by the same factor between gas and solid inside the porous material). 23 does not affect the pressure, temperature and velocity of However, as discussed in Bellettre et al. 26 and the gas inside the CFR if the flow is laminar. This is not Kaviany 22,a large temperature difference could occur true, however, for turbulent flows because the between the fluid phase and solid phase under certain turbulence Nusselt number depends on the Reynolds conditions. This is especially true in the application of number, which is a function of the hydraulic diameter. CFR to the space shuttle RSRM joints due to the highly transient nature of the flow process. Therefore, a non- For different porosity, the heat transfer rate is the same equilibrium heat transfer model of the CFR has been for fixed gas and wall temperature since both surface developed where the convective heat transfer area and heat transfer coefficient are independent of coefficient between the gas inside the CFR and the porosity. However, the gas volume inside the CFR solid is modeled using equations (22) to (25). In V=AL=(kAoL is proportional to porosity. Therefore, the addition to Darcy area, hydraulic diameter, predicted pressure, temperature and velocity of the gas permeability, Forschheimer constant, and porosity, the inside the CFR will be different for different values of surface area has to be specified for each gas-solid porosity because, as shown in equation (6), what counts interface to obtain the heat transfer rate. In SFLOW, the is the heat transfer rate per unit gas volume. This can total surface area for all CFR surfaces is an input also be easily understood from the energy equation parameter and the area of each CFR surface is obtained by assuming it is proportional to the volume of the a_A,_t = 0r Vc p,(T " - T_"÷_",) (39) corresponding CFR solid node. or The surface area has to be specified properly. A very T .+1 . OAt = T_ (40) large surface area will make the code unstable since the pVcp calculated heat transfer may be larger than the amount of energy available in the gas. On the other hand, a very where q>0 is the amount of heat transfer rate from gas small surface area does not provide enough heat to solid. Therefore, for larger porosity, the gas volume transfer and, thus, the gas temperature after the rope inside the CFR is larger and the gas temperature at time would be too high. The convective heat transfer rate step n+l is higher if the gas temperature at time step n from the gas inside the CFR to the solid surfaces is is the same. limited by the heat transfer rate which causes the temperature of the solid surfaces to equilibrate with the RESULTS gas temperature during one time step. Specifically, to The CFR models discussed above have been make sure the code is stable, the heat transfer rate is incorporated into SFLOW and the results of applying limited by SFLOW to three sets of CFR tests, which simulate the pAAXCp(T e -7".,) RSRM nozzle-to-case joints and nozzle joint No. 2, are it = hA t(Tg - Tw) < (37) discussed in this section. The first two tests are cold • At flow tests and the flow through CFR is assumed to be where Ax, At, T_and Tw are the length of the flow cell, adiabatic. The last test is a hot flow test and both time step, gas temperature, and wall temperature, pressure and temperature history at the joint inlet arc respectively. Note that, if either surface area or time specified in the SFLOW calculation. step is too large, this limiter kicks in and the results would depend on the time step. In all SFLOW Cold Flow Nozzle-to-Case Joint Test predictions shown in this paper, the surface area and Cold flow tests simulating the RSRM nozzle-to-case time step are chosen to be small enough such that joint have been performed 5where nitrogen (N2) flows equation (37) is always satisfied. from a high-pressure tank though a CFR to the ambient conditions. SFLOW was applied to simulate these tests 6 andthepredictetdankpressurisecomparewdiththe porosity used here is much smaller than the measured measureddatainthissectionT.he10%compressionvalue since a larger porosity corresponds to a larger ratiocaseis shownfirst,followedby caseswith friction factor, which requires smaller time step. As compressrioantiosof30%0,%and-10%.Forthe10% expected, the tank pressure drops faster for larger compressiorantiocase,theeffectsof permeability, permeability and smaller Forschheimer constant due to Forschheimecornstant,as well as porosityare the decrease in friction factor and increase in mass flow discussienddetail. rate. It is also evident that the predicted pressure using a permeability of 8.5x10 ll in2 and a Forschheimer Byneglectintghetransientterm,convectivteermas constant of 0.632 agree very well with the measured wellastheForschheimteerrmin equatio(n26),the data. permeabilcitaynbederivedfromthemeasurperdessure differencaecrostsheCFR, 8O0 •'' ..... I......... I ......... I ......... I ......... Ap, as K -/.zLv - _ (41) 6p 60(3 O [] Measured __7-:2',172 Assuming the gas temperature inside the tank T=const, 2= the Darcy velocity in the above equation can be written 400 as "....m.._...__,,- k:l 5_lO/n ^') ......... (P2 - Pl )V ".. _nD.n v = (42) 2O0 (t2- tI)R TpAo ..................... .._l_.o_.a _ where V is the tank volume and Pl and P2 are the tank pressure at time tl and t2,respectively. The permeability 0 AlL ..... I ......... I ......... I......... I........ calculated using the above equations for the 10% 0 1 2 3 4 Time (s) compression ratio case is shown in Figure 1, which ranges from 4x10 -n in2to 1.2xi0 n° in2.(See ref. 27 for Figure 2: Comparison of predicted pressure and more details.) Although the permeability in Figure 1 measured data for aporosiO' of O.Ol attd c=0.632. varies with time, all SFLOW predictions shown in this paper assume a constant permeability (i.e., changes with neither time nor location). 800 ......... ! ......... ! ......... ! ......... !......... 4-., 1.2×1O_c 600 _"-,... [] D Measured '.... _ c--'0 05 10×10 _E "....., --- c---O632 4O0 8'0x10 I' I_. 6.0×1011 4.0×10 _ i_,, .... m......... i ......... i......... i ....... If 1 2 3 4 5 | . _ . | . . . a 2 4 6 Time (s) Time (s) Figure 3: Comparison of predicted pressure and Figure I: Permeability derived from the measured data measured data for a porosity of 0.01 and permeabili O, for the 10% compression ratio case. of8.5x10 H in2. Figure 2 and Figure 3 show the comparison of predicted Figure 4 shows the predicted tank pressure by assuming pressure with measured data for different values of c=0 in equation (32). It is evident that, although the permeability and Forschheimer constant, respectively. agreement is slightly better with a permeability of The porosity used is 0.01 and the friction factor is 8.0×10 -tl in2, the overall agreement is good with a calculated from equation (32). Note that the effective permeability of 8.5×10 nJ in2,indicating that the effect ofForschheimteerrmisrelativelsymallT.hereforteh,e than unity at all times. The Mach number decreases Forschheimteerrmhasbeenneglecteidn allresults with time due to the reduced mass flow rate shown in shownintherestofthispaperN. otealsothatthese Figure 5 and increase with downstream location valuesofpermeabiliatyreveryclosetothatshownin because of the friction. Figure1derivedfromthemeasurdeadtausingequation (41). 1.o/.,, ..... i......... i,.,,, .... ,......... ,......... 8O0 11 ....... I......... i ......... i ......... i ......... 0.8_• _ begining ofCFR ,_"_",. .-.-.-... meniddooffCCFFRR 60O 0 0 Measured _-_k???, z _ 0.4 4oo 0.2 _"" ......................... .. 2O0 0.0 ......... a......... i ......... |......... a...... 0 1 2 3 4 Time (s) 0 ....... i I......... |......... | ......... | ......... 0 1 2 3 4 5 Figure 6: Predicted Mach number with a porosi O, of Ttme(s) 0.0! and permeabili O,of 8xlO -I1in2. Figure 4: Comparison of predicted pressure and The friction factors at different downstream locations measured data for aporosity of O.Ol and c=O. inside the CFR are shown in Figure 7. The friction factor increases with both time and downstream The mass flow rates at different downstream locations locations since, as shown in equation (35), the friction inside the CFR are shown in Figure 5. The mass flow factor is inversely proportional to the mass flow rate. rate at the beginning of the CFR is larger than that at The friction factor ranges from 10 to more than 200, the end, indicating that there is mass accumulation which is much larger than in a regular duct, due to the inside CFR and the flow is not steady. The mass flow small permeability value. rate also decreases with time due to the reduced pressure difference across the CFR as the tank used in •', ................ l ....... 7" $1S the experiment drained. 150 _ beg_g of CFR / ......... I ......... I'" ...... '1 ..... ''''1 ......... ...... mid ofCFR j,_s 1 --- end of CFR / "1 -_ //" ...-_1 0.6 ._. _ begining ofCFR = tCO o/'° .-"" \ \ ...... ._ ofc_R ao o ...,." 0.4 '_ _ --- end ofCFR o_' ....," • "% _ • %,, 1 2 3 4 5 TLme(s) 0,( i ...... ia......... i ......... i ......... i ......... Figure 7: Predicted friction factor with a porosity of 0 I 2 3 4 Time (s) 0.01 and permeabili O,of 8xlO -H ine. Figure 5: Predicted mass flow rate with a porosity of Figure 8 shows the Mach numbers at different 0.01 and permeability of 8xlO -tl in2. downstream locations inside the CFR with a porosity of 0.002 and permeability of 8×10 -]_ in2. The Mach The Mach numbers at different downstream locations number is much larger than that shown in Figure 6 with inside the CFR are shown in Figure 6. The flow for this a porosity of 0.01 because the area is much smaller and case is not choked since the Mach number is smaller velocityislargerT.heflowacrosCsFRischokeadtall that time because of the reduced pressure difference timesandtheMachnumbearttheendoftheCFRis across the CFR. abouutnity.TheoscillationosfMachnumbearround unityoccurbecausaes,discusseindref.28,transonic 1.2 flowisverysensitivteosmalcl hangeTsh.emagnitude begnahag of CFR ofthisoscillatiocnanbereducebdyusing a smaller 1,0 _&"_'_-.. •..... mid of CFR _.. -.. end of CFR time step as shown in Figure 9, where a time step of 0,8 lxl0 6 sec (instead of 1×10 .3sec) is applied. 00! 1.2L,, ....... ,......... ,....... ,,i ......... ,......... / 0.4 05 0.8_ 0.O ........ i......... i......... i......... |........ I 2 3 4 5 Z 0._ _...._ •............. _.......... Time (s) Figure I0: Predicted Mach number with a porosit), of 0.4 _ begining of CFR ...... mid of CFR 0.005, permeability of 8xlO H in 2, and time step of --- end of CFR IxlO -6sec. 02 The Mach numbers with a porosity of 0.02 and 00 .... it..I.. Ii ..... II ...... i.I ......... I ..... 1 2 3 4 permeability of 8x10 -_ in2are shown in Figure 11. The Time(s) flow across CFR is not choked and the Mach number is much smaller than that using a porosity of 0.01. Figure 8: Predicted Mach number with a porosity of 0.002, permeabili O, of 8)<1011 in2, and time step of O,b ......... i......... i,. ..... ,,i ......... i......... IxlO -5sec. k _l _ begknnig of CFR 0.4 _ ...... mid of CFR 1,2 .... •,,.,i ......... I, ...... .,i .... ,.... i......... ""%. --- end of CFR 1.0 Z _._ 0.8 E Z 06 0.4 begining of CFR 0£ ...... mid of CFR 0 1 2 3 4 5 --- end of CFR Tnne (s) 0.2 Figure 11."Predicted Mach number with a porosi O, of 0.02 and permeabilio, of 8xlO H in2. 0,0 .... ii, .I, • i r..... I ........ i I ......... I ........ 0 1 2 3 4 Time (s) The effect of porosity on the predicted pressure is shown in Figure 12, where a permeability of 8.0x10 -_ Figure 9: Predicted Mach number with a porosity of in2 is applied. The tank pressure is the largest for 0.002, permeabili O, of 8x10 -tl in2, and time step of ¢=0.002 since, as discussed earlier, the flow is choked lxl O-6sec. all the times. The pressure is smaller for 0=0.005 because the flow is choked only at t<0.5 sec while the The Mach numbers with a porosity of 0.005 and pressure is even smaller for ¢=0.01 and 0=0.02 due to permeability of 8x10 tl in2 are shown in Figure 10, the fact that the flow is never choked. The pressure for where a time step of lxl0 6sec is applied. The flow 0=0.01 and 0=0.02 are not exactly the same because of across CFR is choked for t<0.5 sec but unchoked after the transient and convective terms in equation (26).

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