on statistical analysis of composite solid propellant combustion

2
384 AIAA JOURNAL VOL. 12, NO. 3 where When there is uniform suction downstream of the leading edge of flat plate, then Eq. (22) becomes { 1/2 = F(n) (23) where { = w 0 2 x/w 0 v (24) The result calculated from Eq. (23) is given in Table 2 together with Iglisch exact solution and Curie approximate solution for the purpose of comparison. The comparison in Table 2 shows that the present approximate method produces results which are slightly more accurate than those given by Curie. References 1 Thwaites, B., "Approximate Calculation of the Laminar Boundary Layer," Aeronautical Quarterly, Vol. 1, 1949, p. 245. 2 Schlichting, H., "Em Naherungsvorfahren zur Berechnung der Laminaren Grenzschicht mit Absaugung bei Beliebiger Korperform," TM 1216, 1949, NACA. 3 Head, M. R., "Approximate Calculations of the Laminar Boundary Layer with Suction, with Particular Reference to the Suction Require- ments for Boundary Layer Stability on Aerofoils of Different Thickness/Chord Ratios," RM 3123, March 1957, Aeronautical Research Council, London, England. 4 Curie, N., "TheEstimation of Laminar Skin Friction, Including the Effects of Distributed Suction," Aeronautical Quarterly, Vol. 11, 1960, p. 1. 5 Williams, P. G., "Numerical Solutions of Boundary Layer Equations," Proceedings of the Royal Society (London), Series A, 1964, pp. 374-384. 6 Stratford, B. S., "Flow in the Laminar Boundary Layer near Separation," RM 3002, Nov. 1954, Aeronautical Research Council, London, England. 7 Iglisch, R., "Exakte Berechnung der Laminaren Grenzschicht an der Langsangestromten Evenen Platte mit Homogener Absaugung," TM 1205, 1949, NACA. On Statistical Analysis of Composite Solid Propellant Combustion ROBERT L. GLICK* Thiokol Corporation, Huntsville, Ala. H ERMANCE 1 and Beckstead, Derr, and Price 2 have formu- lated steady-state combustion models that employ statistical concepts. This is an important advance because it leads to an "explicit" and calculatable relation between oxidizer particle size and burning rate. The objectives of this Note are first to show that the statistical portions of these analyses, which are virtually identical, are questionable and second to reformulate the problem "correctly" for the assumed burning surface topography. The reformulation is a generalization of the pioneering work of Miller, Hartman, and Myers. 3 Received June 13, 1973; revision received October 2, 1973. Index categories: Combustion in Heterogeneous Media; Solid and Hybrid Rocket Engines. * Principal Engineer, Advanced Design and Analysis Section. Member AIAA. t Flamelet is employed to denote the complex multi-flame structure associated with specific oxidizer/fuel surface pairs. t Nomenclature is the same as that of Ref. 2. The burning surface of a composite solid propellant is an ensemble (like a patch work quilt) of different flamelets.t In Refs. 1 and 2 the ensemble is replaced with a single flamelet and the burning surface topography is assumed to be a fuel plane dotted with concave and/or convex oxidizer surfaces. The characteristic spatial dimension(s) of the single flamelet is based on the mean oxidizer particle intersection area of a planar "cut" through a unimodal propellant with randomly packed spherical oxidizer particles. In such a "cut" the oxidizer particle intersection areas range from zero to nD 0 2 /4$ and the mean intersection area is nD 0 2 /6. It is important to note that the characteristic dimension is based solely on geometry. The Hermance and Beckstead, Derr, and Price approaches are questionable on the following two points: 1) the physical validity of replacing the behavior of an ensemble of different flames with that of a single flame (a basic assumption in most quasi-one- dimensional analyses of composite solid propellant combustion), and 2) the statistical process employed to select the characteristic dimension. Both points are related. The total oxidizer vapor flow from the burning surface M ox is the sum of the oxidizer flows from all of the individual oxidizer surfaces so M ox = ^m OXti & OXti (1) i where m oxi is the flux of oxidizer from and s oxti the area of the ith oxidizer surface. For quasi-steady conditions the mixture ratio is fixed by the composition of the solid. Therefore (2) Numerical results from both Refs. 1 and 2 show that, in general, m oxi is a function of s oxi . Consequently, a characteristic dimension selected from geometry alone is not compatible with Eq. (2) so that the statistical aspects of Refs. 1 and 2 appear to violate continuity. It should be noted that criticism is not directed at the physiochemical combustion models. The reason for difficulty is clear. The statistical aspects must be compatible with Eq. (2). Let s f and s ox be the fuel and oxidizer surfaces associated with a flamelet and F ox and F f be distribution functions such that the fraction of oxidizer surfaces with s ox ^ s ox ^ s ox + ds ox is F ox ds ox and the fraction of fuel surfaces with s f ^ s f ^ s f + ds f is F f ds f . Then, if N is the number of oxidizer surfaces per unit planar area of burning surface, the number of flames with s ox ^ s ox <; s ox + ds ox is Since the solid propellant is a random packing, assume that the distribution functions are independent. § Consequently, the frac- £ '- , , (4) If it is further assumed that the individual flamelets are non- interacting (each flamelet does its own thing), the mass flux of oxidizer from each oxidizer surface becomes a function of pressure, intial propellant temperature, freestream velocity, oxidizer and fuel surface area, etc. The mass flux of oxidizer from flamelets with s ox ^ s ox ^ s ox +ds ox and s f ^ s f ^ s f + ds f is d 2 ox = N OX ^ox F ox F f ds ox ds f (5) The mass flow of oxidizer from flamelets with s ox ^ s ox ^ s ox + ds ox is obtained by "summing" over all possible s f so tion of the dN flamelets with e f ^ e f ^ e f + ds f is = NF f F ox ds f = NFs (6) The infinite upper limit occurs because there is no specific physical upper bound to s f . Of course, the probability of large s f is vanishingly small.lj The finite lower limit occurs because oxidizer particles cannot interpenetrate. The mean mass flux of § Although this assumption seems reasonable, further study is warranted. It is a complex question because detailed knowledge of the statistical nature of the random packing is required. ^| Note the similarity here to the kinetic theory of gases where each velocity component ranges from oo to oo. Downloaded by UNIVERSITY OF MICHIGAN on October 28, 2014 | http://arc.aiaa.org | DOI: 10.2514/3.49241

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Page 1: On Statistical Analysis of Composite Solid Propellant Combustion

384 AIAA JOURNAL VOL. 12, NO. 3

where

When there is uniform suction downstream of the leading edgeof flat plate, then Eq. (22) becomes

{1/2 = F(n) (23)

where{ = w0

2x/w0v (24)The result calculated from Eq. (23) is given in Table 2 together

with Iglisch exact solution and Curie approximate solution forthe purpose of comparison. The comparison in Table 2 showsthat the present approximate method produces results which areslightly more accurate than those given by Curie.

References1 Thwaites, B., "Approximate Calculation of the Laminar Boundary

Layer," Aeronautical Quarterly, Vol. 1, 1949, p. 245.2 Schlichting, H., "Em Naherungsvorfahren zur Berechnung der

Laminaren Grenzschicht mit Absaugung bei Beliebiger Korperform,"TM 1216, 1949, NACA.

3 Head, M. R., "Approximate Calculations of the Laminar BoundaryLayer with Suction, with Particular Reference to the Suction Require-ments for Boundary Layer Stability on Aerofoils of DifferentThickness/Chord Ratios," RM 3123, March 1957, AeronauticalResearch Council, London, England.

4 Curie, N., "The Estimation of Laminar Skin Friction, Includingthe Effects of Distributed Suction," Aeronautical Quarterly, Vol. 11,1960, p. 1.

5 Williams, P. G., "Numerical Solutions of Boundary LayerEquations," Proceedings of the Royal Society (London), Series A, 1964,pp. 374-384.

6 Stratford, B. S., "Flow in the Laminar Boundary Layer nearSeparation," RM 3002, Nov. 1954, Aeronautical Research Council,London, England.

7 Iglisch, R., "Exakte Berechnung der Laminaren Grenzschicht ander Langsangestromten Evenen Platte mit Homogener Absaugung,"TM 1205, 1949, NACA.

On Statistical Analysis of CompositeSolid Propellant Combustion

ROBERT L. GLICK*Thiokol Corporation, Huntsville, Ala.

HERMANCE1 and Beckstead, Derr, and Price2 have formu-lated steady-state combustion models that employ statistical

concepts. This is an important advance because it leads to an"explicit" and calculatable relation between oxidizer particlesize and burning rate. The objectives of this Note are first to showthat the statistical portions of these analyses, which are virtuallyidentical, are questionable and second to reformulate the problem"correctly" for the assumed burning surface topography. Thereformulation is a generalization of the pioneering work ofMiller, Hartman, and Myers.3

Received June 13, 1973; revision received October 2, 1973.Index categories: Combustion in Heterogeneous Media; Solid and

Hybrid Rocket Engines.* Principal Engineer, Advanced Design and Analysis Section.

Member AIAA.t Flamelet is employed to denote the complex multi-flame structure

associated with specific oxidizer/fuel surface pairs.t Nomenclature is the same as that of Ref. 2.

The burning surface of a composite solid propellant is anensemble (like a patch work quilt) of different flamelets.t In Refs. 1and 2 the ensemble is replaced with a single flamelet and theburning surface topography is assumed to be a fuel plane dottedwith concave and/or convex oxidizer surfaces. The characteristicspatial dimension(s) of the single flamelet is based on the meanoxidizer particle intersection area of a planar "cut" through aunimodal propellant with randomly packed spherical oxidizerparticles. In such a "cut" the oxidizer particle intersection areasrange from zero to nD0

2/4$ and the mean intersection area isnD0

2/6. It is important to note that the characteristic dimensionis based solely on geometry.

The Hermance and Beckstead, Derr, and Price approaches arequestionable on the following two points: 1) the physical validityof replacing the behavior of an ensemble of different flames withthat of a single flame (a basic assumption in most quasi-one-dimensional analyses of composite solid propellant combustion),and 2) the statistical process employed to select the characteristicdimension. Both points are related. The total oxidizer vapor flowfrom the burning surface Mox is the sum of the oxidizer flowsfrom all of the individual oxidizer surfaces so

Mox = ^mOXti&OXti (1)i

where moxi is the flux of oxidizer from and soxti the area of theith oxidizer surface. For quasi-steady conditions the mixtureratio is fixed by the composition of the solid. Therefore

(2)

Numerical results from both Refs. 1 and 2 show that, in general,moxi is a function of soxi. Consequently, a characteristicdimension selected from geometry alone is not compatible withEq. (2) so that the statistical aspects of Refs. 1 and 2 appearto violate continuity. It should be noted that criticism is notdirected at the physiochemical combustion models.

The reason for difficulty is clear. The statistical aspects mustbe compatible with Eq. (2). Let sf and sox be the fuel and oxidizersurfaces associated with a flamelet and Fox and Ff be distributionfunctions such that the fraction of oxidizer surfaces withsox ^ sox ^ sox + dsox is Fox dsox and the fraction of fuel surfaceswith sf ^ sf ^ sf + dsf is Ff dsf. Then, if N is the number ofoxidizer surfaces per unit planar area of burning surface, thenumber of flames with sox ^ sox <; sox + dsox is

Since the solid propellant is a random packing, assume that thedistribution functions are independent. § Consequently, the frac-

£'- , ,(4)

If it is further assumed that the individual flamelets are non-interacting (each flamelet does its own thing), the mass flux ofoxidizer from each oxidizer surface becomes a function ofpressure, intial propellant temperature, freestream velocity,oxidizer and fuel surface area, etc. The mass flux of oxidizerfrom flamelets with sox ^ sox ^ sox+dsox and sf ^ sf ^ sf + dsf is

d2™ox = N™OX ^ox Fox Ff dsox dsf (5)The mass flow of oxidizer from flamelets with sox ^ sox ^ sox + dsoxis obtained by "summing" over all possible sf so

tion of the dN flamelets with ef ^ ef ^ ef + dsf is= NFfFoxdsf

= NFs (6)

The infinite upper limit occurs because there is no specificphysical upper bound to s f . Of course, the probability of largesf is vanishingly small.lj The finite lower limit occurs becauseoxidizer particles cannot interpenetrate. The mean mass flux of

§ Although this assumption seems reasonable, further study iswarranted. It is a complex question because detailed knowledge of thestatistical nature of the random packing is required.

|̂ Note the similarity here to the kinetic theory of gases where eachvelocity component ranges from — oo to oo.

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Page 2: On Statistical Analysis of Composite Solid Propellant Combustion

MARCH 1974 TECHNICAL NOTES 385

oxidizer from the burning surface is then the integral of Eq. (6)over all possible eox or

'EOX" f°c

e/'

where eox" is the largest possible oxidizer surface. Since mixtureratio is preserved with means

The statistical formulation presented indicates that statisticalcombustion modeling is more complex than the analyses ofHermance and Beckstead, Derr, and Price suggest. However, theincrease in complexity may be worthwhile because a basicassumption in one-dimensional combustion analyses of com-posite solid propellant combustion—substitution of a singleflamelet for an ensemble—has been removed. In addition,virtually any one-dimensional combustion model may beemployed to relate mox to its independent variables. Therefore,this formulation rather than degrading existing one-dimensionalmodels provides a framework that may enhance their physicalrealism. Furthermore, there is a subtle but very powerfuladvantage to this statistical approach. With each flamelet "doingits own thing" in response to external stimuli and the response(s)to that stimuli determinable at the individual flamelet levelthrough quasi-one-dimensional combustion models, flameletsfavorable to and detrimental to a desired response can beidentified. Consequently, desired responses can be enhanced byreducing the population of detrimental flamelets and augmentingthe population of favorable flamelets. Therefore, this statisticalformulation provides a systematic (and potentially quantitative)basis for the control of combustion phenomena through themanipulation of oxidizer particle sizes.

References1 Hermance, C. E., "A Model of Composite Propellant Combustion

Including Surface Heterogeneity and Heat Generation," AIAA Journal,Vol. 4, No. 9, Sept. 1966, pp. 1629-1637.

2 Beckstead, M. W., Derr, R. L., and Price, C. F., "A Model ofComposite Propellant Combustion Based on Multiple Flames," AIAAJournal, Vol. 8, No. 12, Dec. 1970, pp. 2200-2207.

3 Miller, R. R., Hartman, K. O., and Myers, R. B., "Prediction ofAmmonium Perchlorate Particle Size Effect on Composite PropellantBurning Rate," Publication 196, Vol. I, May 1970, Chemical PropulsionInformation Agency, Silver Spring, Md., pp. 567-591.

Stability of Two-Hinged Circular Archeswith Independent Loading Parameters

DONALD A. DADEPPO*University of Arizona, Tucson, Ariz.

AND

ROBERT ScHMiDxfUniversity of Detroit, Detroit, Mich.

Nomenclature

a = constant radius of the undeformed centroidal line of the arch ribEl = bending stiffness

Received June 21, 1973; revision received October 10, 1973. Thisinvestigation was supported by National Science Foundation GrantGK-19726.

Index category: Structural Stability Analysis.* Professor, Department of Civil Engineering and Engineering

Mechanics.t Professor of Engineering Mechanics.

p = downward point load acting at the crown of an arch on theverge of buckling

P0 = P when w = 0W = total weight of the arch ribw = Wllavi

w0 = critical own weight when P = 0vc = vertical displacement of the crown of the arch2a = subtending angle of the arch

WHEN nonshallow arches buckle at large deflections, theirown deadweight is usually not a negligible quantity as

compared to the applied load, and the problem of calculatingcritical loads becomes a two-parameter nonlinear boundary-value problem. Since it is very difficult to eliminate the effect ofown weight in experimental work, it is of considerable impor-tance to determine relationships between the two loads at theinstant of impending instability of the arch.

For the foregoing reason, it was decided to calculate inter-action curves for the critical values of the downward point loadP at the crown of two-hinged circular arches and the uniformlydistributed own weight w per unit length of the centroidal line.The exact nonlinear theory of the inextensible elastica was usedin the calculations. This theory yields excellent results in thecase of nonshallow slender arches.1'2

The governing equations of the theory of the initially curvedelastica will not be derived herein, as they can be found inpublished literature.3"5 A brief summary of the necessaryequations is presented in Ref. 6. These equations were solved bymeans of an electronic digital computer to a high degree ofaccuracy. It was found that arches with subtending angles in therange 2a = 60°-270° (see Fig. 1 of Ref. 6) buckle asymmetricallyby sidesway, a bifurcation type of buckling.

The calculated critical values P and W of the interacting pointload and the total weight of the arch, respectively, are madedimensionless by dividing them by the critical values P0 and W0of these forces acting singly, i.e., P = P0 when W =0 andW=W0 when P = 0. The P/P0 vs WjW0 interaction curvesappear nearly straight (e.g., see Fig. 1) and can be approximatedaccurately by the simple equation

(PIPj + (WIW0) = \ (1)for all the values of the subtending angle 2a for which calcula-tions have been carried out, namely, for a = 30°, 40°, 50°, 60°,70°, 80°, 90°, 100°, 110°, 135°. No consistency in regard to theconvexity or concavity of the interaction curves is apparent; thecurves for a = 30°, 40°, 50°, 135° are very slightly convex away

1.0

0.8

0.6

0.4

0.2

0.2 0.4 0.6 0.8 1.0

Wo

Fig. 1 Interaction curve for y. = 80° (dots represent calculated points).

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