Calibration Methods for the Extended Prout-Tompkins Chemical Kinetics Model and Derived Cookoff Parameters for RDX, HMX, LX-10 and PBXN-109

Author(s):  
Aaron P. Wemhoff ◽  
Alan K. Burnham ◽  
Albert L. Nichols ◽  
Jaroslaw Knap

Thermal explosions result when local temperature-dependent heat generation exceeds heat loss via conduction. The temperature dependence of the heat source term is directly related to the material’s chemical kinetics, and hence the chemical kinetics has a direct impact on the thermal explosion times of a material. Much success has been gained in past work to accurately model thermal explosions in various explosives using multi-step Arrhenius chemical kinetics models. However, the generation of these kinetics models is time consuming and complex. Therefore, a methodology has been developed that allows for calibration of a single-reaction global kinetics model using One Dimensional Time to Explosion (ODTX) experimental data, which combines an iterative approach with a steepest descents optimization. This methodology has been applied to calibrate kinetic parameters for the widely-used explosives RDX (1, 3, 5-trinitrohexahydro-striazine), HMX (octahydro-1, 3, 5, 7-tetranitro-1, 3, 5, 7-tetrazocine), LX-10 (95% HMX, 5% Viton binder), and PBXN-109 (64% RDX, 20% Al, 16% binders). The average error between experimental and simulated ODTX and STEX data using this technique is approximately equivalent to that using the traditional multi-step models, and the time required for calibration of the global kinetics model has been reduced from months to hours.

Author(s):  
Marina Weyl Costa ◽  
Amir Antonio Martins Oliveira

1976 ◽  
Vol 54 (14) ◽  
pp. 1454-1460 ◽  
Author(s):  
T. Tiedje ◽  
R. R. Haering

The theory of ultrasonic attenuation in metals is extended so that it applies to quasi one and two dimensional electronic systems. It is shown that the attenuation in such systems differs significantly from the well-known results for three dimensional systems. The difference is particularly marked for one dimensional systems, for which the attenuation is shown to be strongly temperature dependent.


Fuel ◽  
2006 ◽  
Vol 85 (17-18) ◽  
pp. 2593-2604 ◽  
Author(s):  
M JIA ◽  
M XIE

2005 ◽  
Vol 483 (1-2) ◽  
pp. 239-244 ◽  
Author(s):  
Ping Hsun Chen ◽  
Bing Wei Huang ◽  
Han Chang Shih

SIMULATION ◽  
1965 ◽  
Vol 4 (6) ◽  
pp. 382-389 ◽  
Author(s):  
Hans L. Steinmetz

An analog computer technique is presented which enables application of Pontryagin's maximum prin ciple to the problem of optimizing control systems. The key problem in using Pontryagin's maximum principle is the extremization of the Hamiltonian function at every instant of time. Since the analog computer is an excellent differential equation solver, it is of advantage to convert this task into a dynamic problem. The technique used to do this is based upon the steepest ascent method. The method is applied to a one-dimensional control problem; higher-di mensional control problems can be treated using the same approach. The argument that an analog computer can solve differential equations with only one independent variable, corresponding to machine time, is true only in a technical sense. In practice it is feasible for cer tain types of problems to integrate one set of differ ential equations sufficiently fast enough so that, while integrating another set of differential equations at a much slower rate, the solution error associated with this approach remains within acceptable limits. When using the analog computer in this way, one time domain always corresponds to the solution time required for solving the differential equations de scribing the system; a second time domain corre sponds to the solution time required for solving an auxiliary set of differential equations which has no direct relationship with the system. Technological improvements and innovations made in the analog computer field during the recent past have contributed to the successful application of this approach.


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