ISBN: 978-981-18-5852-9 DOI: 10.18178/wcse.2022.04.129
Life Prediction of Naval Gun Barrel Based on Multisource Information Fusion
Abstract— The performance of naval gun barrel highly influences the operational lifespan. During the firing
process, it is a quite challenge to predict the life of the naval gun due to many unknown factors in the
complex physical and chemical reactions that occur in the barrel inner surface. This paper presents an
optimized life prediction model which considers the information difference of ablative and fatigue life.The
model consists of three modules, heat transfer simulation model, fatigue finite element model, and data
fusion based on D-S evidence theory. The heat transfer simulation model and fatigue finite element model
are established by simulating the firing process of a naval gun, and the life distribution is calculated. On this
basis, a life prediction model is improved taking into account the variability of erosion and fatigue life data.
The result shows that the established model can predict the life of the barrel more accurately and correctly
judge the state of the body tube and improve the reliability of the naval gun.
Index Terms— life prediction, mechanical reliability, D-S evidence theory, naval gun barre.
Reliability Engineering and System, Beihang University, China
Cite: Yanling Lu, " Life Prediction of Naval Gun Barrel Based on Multisource Information Fusion, " WCSE 2022 Spring Event: 2022 9th International Conference on Industrial Engineering and Applications, pp. 1106-1114, Sanya, China, April 15-18, 2022.