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A Methodology for Determining the Burn Rates of Complex Solid Gun Propellants Through Closed Bomb Simulation.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
A Methodology for Determining the Burn Rates of Complex Solid Gun Propellants Through Closed Bomb Simulation./
作者:
Houthuysen, Christopher.
面頁冊數:
1 online resource (283 pages)
附註:
Source: Dissertations Abstracts International, Volume: 84-11, Section: B.
Contained By:
Dissertations Abstracts International84-11B.
標題:
Mechanical engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30310787click for full text (PQDT)
ISBN:
9798379566081
A Methodology for Determining the Burn Rates of Complex Solid Gun Propellants Through Closed Bomb Simulation.
Houthuysen, Christopher.
A Methodology for Determining the Burn Rates of Complex Solid Gun Propellants Through Closed Bomb Simulation.
- 1 online resource (283 pages)
Source: Dissertations Abstracts International, Volume: 84-11, Section: B.
Thesis (Ph.D.)--Stevens Institute of Technology, 2023.
Includes bibliographical references
The closed bomb vessel is a prominent means of characterizing the combustion behavior of solid gun propellants before gun launch. This sub-scale test allows the propellant to burn in a confined, constant volume environment, such that the resulting pressure-time trace can be collected via a pressure transducer. Historically, analytical and computational methods have been developed to determine the burn rates of gun propellants from these pressure-time traces. However, no procedure exists to determine the burn rates of gun propellants with spatially variable thermochemistry and/or ignition criteria on each surface. As a result of this discrepancy, intrinsic error is introduced in interior ballistic calculations, which can lead to catastrophic failure of a given weapon system due to an over-pressurization event, or unsatisfactory performance metrics.To address this capability gap, two solvers have been developed. The first is a closed bomb data reduction analysis that uses a constrained, multivariate optimization algorithm to determine surface-specific burn rates of gun propellants. For this solver, custom algorithms were developed to import and filter the closed bomb data, as well as simulate the deflagration of the solid gun propellant assuming a well-stirred reactor model. The other solver is iBallistix, which is a two-phase, multidimensional, interior ballistics model developed in OpenFOAM [1]. In iBallistix, two sets of coupled Euler equations are solved to numerically simulate the reacting heterogeneous mixture in interior ballistic applications (e.g., guns, closed vessels). For this solver, custom sub-routines were developed to numerically simulate the deflagration of thermochemically complex solid gun propellant following the finite volume method.In this work, the proposed closed bomb data reduction analysis as well as the legacy Excel-based Closed Bomb (XLCB) program [2] are used to determine the burn rates of homogeneous, layered, and deterred propellants from experimental data. These burn rates are then used in the iBallistix solver to generate predicted pressure-time curves, which are compared to the experimental pressure-time traces. For the four test cases analyzed, the maximum mean error between the predicted and experimental pressure-time curves was 6.8% for the burn rates determined with the new data reduction analysis and 23.8% for the burn rates determined with XLCB. This result demonstrates that the burn rates are sensitive to proper characterization of surface-specific thermochemistry and thus, the proposed closed bomb data reduction analysis improves burn rate predictions when compared with legacy approaches. Furthermore, this solver can be used to determine higher fidelity burn rates, which can be used in interior ballistic calculations.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798379566081Subjects--Topical Terms:
649730
Mechanical engineering.
Subjects--Index Terms:
Burn rateIndex Terms--Genre/Form:
542853
Electronic books.
A Methodology for Determining the Burn Rates of Complex Solid Gun Propellants Through Closed Bomb Simulation.
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The closed bomb vessel is a prominent means of characterizing the combustion behavior of solid gun propellants before gun launch. This sub-scale test allows the propellant to burn in a confined, constant volume environment, such that the resulting pressure-time trace can be collected via a pressure transducer. Historically, analytical and computational methods have been developed to determine the burn rates of gun propellants from these pressure-time traces. However, no procedure exists to determine the burn rates of gun propellants with spatially variable thermochemistry and/or ignition criteria on each surface. As a result of this discrepancy, intrinsic error is introduced in interior ballistic calculations, which can lead to catastrophic failure of a given weapon system due to an over-pressurization event, or unsatisfactory performance metrics.To address this capability gap, two solvers have been developed. The first is a closed bomb data reduction analysis that uses a constrained, multivariate optimization algorithm to determine surface-specific burn rates of gun propellants. For this solver, custom algorithms were developed to import and filter the closed bomb data, as well as simulate the deflagration of the solid gun propellant assuming a well-stirred reactor model. The other solver is iBallistix, which is a two-phase, multidimensional, interior ballistics model developed in OpenFOAM [1]. In iBallistix, two sets of coupled Euler equations are solved to numerically simulate the reacting heterogeneous mixture in interior ballistic applications (e.g., guns, closed vessels). For this solver, custom sub-routines were developed to numerically simulate the deflagration of thermochemically complex solid gun propellant following the finite volume method.In this work, the proposed closed bomb data reduction analysis as well as the legacy Excel-based Closed Bomb (XLCB) program [2] are used to determine the burn rates of homogeneous, layered, and deterred propellants from experimental data. These burn rates are then used in the iBallistix solver to generate predicted pressure-time curves, which are compared to the experimental pressure-time traces. For the four test cases analyzed, the maximum mean error between the predicted and experimental pressure-time curves was 6.8% for the burn rates determined with the new data reduction analysis and 23.8% for the burn rates determined with XLCB. This result demonstrates that the burn rates are sensitive to proper characterization of surface-specific thermochemistry and thus, the proposed closed bomb data reduction analysis improves burn rate predictions when compared with legacy approaches. Furthermore, this solver can be used to determine higher fidelity burn rates, which can be used in interior ballistic calculations.
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