Inverse estimation of heat flux and temperature in multi-layer gun barrel |
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| Affiliation: | 1. Army Engineering University, Shijiazhuang Campus, Department of Artillery Engineering, Shijiazhuang, Hebei, China;2. Army Engineering University, Shijiazhuang Campus, Department of Vehicle and Electrical Engineering, Shijiazhuang, Hebei, China;3. Harbin Institute of Technology, State Key Lab of Advanced Welding & Joining, Harbin, Heilongjiang, China;1. Institute for Advanced Materials and Technology, University of Science and Technology Beijing, Beijing 100083, China;2. Beijing Key Laboratory for Corrosion, Erosion and Surface Technology, Beijing 100083, China;3. Department of Metallurgical Engineering, University of Utah, Salt Lake City UT84112, United States;4. China University of Petroleum(East China), Qingdao 266580, China;5. Manufacturing Technology Department, Chongqing Jianshe Industry(Group) Co. Ltd., Chongqing 400054, China |
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| Abstract: | In this paper, we present an inverse method, an input estimation method, to recursively estimate both the time varied heat flux and the inner wall temperature in the chamber. The algorithm includes the use of the Kalman filter to derive a regression model between the biased residual innovation and the heat flux through a given heat conduction state space model. Based on this regression model, the Recursive Least Squares Estimator (RLSE) is proposed to extract the time-varying heat flux on-line as the input. Computational results show that the proposed method exhibits a good estimation performance and highly facilitates practical implementation. |
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