Thermophysical Properties of Propellants

Stark, J. A.; Koshigoe, L G; Taylor, R. E.

doi:10.1007/978-1-4684-4916-7_22

Cited by 19 publications

(32 citation statements)

References 4 publications

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“…The CP diffusivity predicted by a leading edge analysis and CP loss parameter predicted by a trailing edge analysis provide good starting values for a non-linear least squares solution. Shoemaker [14] has presented a similar comparison of single-layer vs. two-layer temperature profiles in his study on explosives.…”

Section: A Axm9q Graphite-cp Explosivementioning

confidence: 95%

“…for some pressed powder samples [14,15]. The data are quite insensitive to the unknown contact resistance, a desirable feature.…”

Section: A Axm9q Graphite-cp Explosivementioning

confidence: 99%

“…Taylor [14] and by Shoemaker, Stark, Kosigoe, and Taylor [15]. Our samples consisted of a front layer of Poco AXM9Q graphite » 0.1 cm thick pressed onto a disk of CP explosive powder of approximately the same thickness.…”

Section: A Axm9q Graphite-cp Explosivementioning

confidence: 99%

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Effect of Experimental Variables on Flash Thermal Diffusivity Data Analysis

Sweet

1989

Thermal Conductivity 20

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Effect of Experimental Variables on Flash Thermal Diffusivity Data AnalysisJames N. Sweet Sandia National Laboratories P. 0. Box 5800 Albuquerque, NM 87185 ABSTRACTFlash thermal diffusivity data is usually analyzed with a thermal model which assumes axial heat conduction and uniform illumination of the flashed surface. For high accuracy data reduction, it becomes important to bound the errors caused by radial heat flow and by nonuniform laser beam profiles. These effects are examined analytically for a case in which the incident laser beam is confined to a radius smaller than the sample radius. The dependence of the output of an averaging detector on the magnitude of the radial heat transfer coefficient is presented and the linear dependence of radial and axial loss sensitivity coefficients is discussed. From this discussion, we conclude that inclusion of radial loss effects in analysis of the thermal response of multilayer structures is not important unless the radial loss factor is very large. Analytical results are presented for the temperature vs. time response of a two layer composite sample with interfacial thermal resistance and high thermal losses at the sample faces. The use of these results to reduce data for two multilayer samples is presented to show the utility of new data reduction techniques.

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Section: A Axm9q Graphite-cp Explosivementioning

confidence: 95%

“…for some pressed powder samples [14,15]. The data are quite insensitive to the unknown contact resistance, a desirable feature.…”

Section: A Axm9q Graphite-cp Explosivementioning

confidence: 99%

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Effect of Experimental Variables on Flash Thermal Diffusivity Data Analysis

Sweet

1989

Thermal Conductivity 20

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“…In the calculations, we used the temperature dependence of the heat capacity of solid RDX obtained in [6] from the combined data of [33,34]: c p,RDX (T ) = 0.15064 + 2.970 · 10 −3 T , J/(g · K). In the literature there is no temperature dependence of heat capacity for liquid RDX.…”

Section: Analysis Of the Product Composition Near The Burning Surfacementioning

confidence: 99%

RDX flame structure at atmospheric pressure

Volkov

Paletsky

Коробейничев

2008

Combust Explos Shock Waves

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The chemical structure of an RDX flame at a pressure of 1 atm was studied using probing molecular beam mass spectrometry. The flame was found to contain RDX vapor, and its concentration profile was measured in a narrow zone adjacent to the burning surface. In addition to RDX vapor, ten more species were identified (H 2 , H 2 O, HCN, N 2 , CO, CH 2 O, NO, N 2 O, CO 2 and NO 2 ), and their concentration profiles were measured. Two main chemical-reaction zones were found in the RDX flame. In the first, narrow, zone 0.15 mm wide adjacent to the burning surface, decomposition of RDX vapor and the reaction of NO 2 , N 2 O, and CH 2 O with the formation of HCN and NO occur. In the second, wide, zone 0.85 mm wide, HCN is oxidized by NO to form the final combustion products. The composition of the final combustion products was analyzed from an energetic point of view. The measured composition of the products near the burning surface was used to determine the global reaction of RDX gasification at a pressure of 1 atm. Values of heat release in the condensed-phase calculated by the global gasification reaction and by the equation of heat balance on the burning surface (using data of microthermocouple measurements) were analyzed and compared.

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“…The enthalpy of the solid at the initial temperature is determined as follows: the specific heat of solid RDX is obtained by a least-squares fit of a linear temperature function to the data of 13 Shoemaker et aL [30] and Miller [31]. The fit is shown in Figure 5 and its parameters are in Table 2.…”

Section: Example: Rdxmentioning

confidence: 99%

A Chemically Specific Burning Rate Predictor Model for Energetic Materials

Miller¹,

Anderson²

2001

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The application of complex networks of elementary chemical reactions to the gas phase of burning energetic materials has increased markedly over the last decade. The exquisite complexity of these gas-phase reaction networks, coupled with available high-rigor treatments of transport, is not matched by an equivalent level of sophistication in descriptions of the condensed-phase and interfacial phenomena. Owing to the vastly more complicated, many-body nature of the condensed phase, this condition is not likely to be relieved soon. In response to these difficulties, a new semi-empirical approach to burning-rate calculation has been developed and applied to frozen ozone, cyclotrimethylenetrinitramine (RDX), and nitroglycerine. The new approach hypothesizes a single overall reaction linking the unreacted material to the net products of condensed-phase decomposition and characterizes their rate of formation according to an empirically derived pyrolysis law. These condensed-phase products become the reactants for the gas phase, which are treated in full elementary-reaction detail. Using this new semi-empirical model, a methodology for computing the relative effects of several additives on the burning rate of nitroglycerine is developed and demonstrated. Hopefully this approach will enable more rapid progress in modeling multi-ingTedient propellants than did previous approaches attempting to model the condensed-phase processes in detail.

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Thermophysical Properties of Propellants

Cited by 19 publications

References 4 publications

Effect of Experimental Variables on Flash Thermal Diffusivity Data Analysis

Effect of Experimental Variables on Flash Thermal Diffusivity Data Analysis

RDX flame structure at atmospheric pressure

A Chemically Specific Burning Rate Predictor Model for Energetic Materials

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