Eventos Anais de eventos
ENCIT 2022
19th Brazilian Congress of Thermal Sciences and Engineering
STATE ESTIMATION OF THE HEAT FLUX IN AN 81 MM MORTAR
Submission Author:
Héctor Volskis , RJ
Co-Authors:
Héctor Volskis, Bruna Loiola, Francesco Scofano Neto, Rodrigo Otávio de Castro Guedes
Presenter: Bruna Loiola
doi://10.26678/ABCM.ENCIT2022.CIT22-0401
Abstract
Study of gun heating aggregates possibilities of enhancing the performance of military equipments and also contributes to the safety of the personnel involved in the operation of the apparatus. However, some critical information about relevant parameters are challenging to obtain by direct measurements. Consequently, numerical evaluations of inner bore temperature distribution or the associated heat flux by inverse analysis procedures become an interesting tool in the design of these devices. Therefore, this work presents an inverse analysis for the estimation of the heat flux that is established at the inner surface of a 81 mm mortar during one round of fire. The associated heat transfer problem is considered in the transient form and applied to a cylindrical geometry. A prescribed heat flux is considered in the inner region while a convective boundary condition is imposed at the outer surface. The direct problem is verified against an analytical solution available in the open literature for one shot of a 155 mm howitzer. The Bayesian Approach is then applied to the inverse analysis where all available information is combined with measurements in order to reduce the uncertainties of the estimation. The Sampling Importance Resampling (SIR) algorithm is applied for the state estimation problem. Synthetic measurements of the inner surface temperature of the weapon are employed in the inverse analysis. Different types of heat flux related to gun heating situations are investigated and the results obtained so far indicate that the estimations performed by the proposed algorithm are within a desirable pattern of accuracy.
Keywords
Heat flux, State estimation problem, SIR algorithm, gun heating, Inverse analysis
