2008
DOI: 10.14429/dsj.58.1623
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Inverse Estimation of Time-varied Heat Flux and Temperature on 2-D Gun Barrel using Input Estimation Method with Finite-element Scheme

Abstract: When a gun fires, a large amount of heat flux is triggered by the propellant gas acting on the gun barrel inner wall, leading to the rise of temperature, which will cause serious destruction. In this paper, an inverse method based on the input-estimation method including the finite inverse heat conduction problem (IHCP) element scheme to inverse estimate the unknown heat flux on the 2-D gun barrel has been presented. The use of the online accuracy to inversely estimate the unknown heat flux on the chamber has … Show more

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Cited by 10 publications
(3 citation statements)
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“…These values were cited from Chen and Liu [26]. Because the effects of the process noise covariance, measurement noise covariance, and forgetting factor had been investigated in [26], the present study selected the values of the process noise covariance, measurement noise covariance, and forgetting factor as Q = 10, r = 10 À3 , and c = 0.925, respectively. For stable convergence of the numerical solution, the time-stepping parameter was set to be h = 1, that is, the fully implicit scheme was adopted.…”
Section: Resultsmentioning
confidence: 99%
“…These values were cited from Chen and Liu [26]. Because the effects of the process noise covariance, measurement noise covariance, and forgetting factor had been investigated in [26], the present study selected the values of the process noise covariance, measurement noise covariance, and forgetting factor as Q = 10, r = 10 À3 , and c = 0.925, respectively. For stable convergence of the numerical solution, the time-stepping parameter was set to be h = 1, that is, the fully implicit scheme was adopted.…”
Section: Resultsmentioning
confidence: 99%
“…The shooting time (t dur ) may vary with regard to different types of gun. In our paper, t dur is chosen according to Reference [7]. The value of σ was set as zero (no noise) for a controlled condition.…”
Section: Inverse Estimation Of Gun Barrel Boundary Heat Fluxmentioning
confidence: 99%
“…Moreover, some scholars have estimated the thermal state of gun barrel by establishing inverse heat transfer problem (IHTP). For instance, Chen et al [7], Lee et al [8], and Noh et al [9][10][11][12] applied an input-estimation method, conjugate gradient method, and Kalman filter, coupled with the recursive least-squares algorithm to perform thermal analysis in order to estimate the unknown boundary condition. In recent years, Noh et al [11] proposes a three-dimensional inverse heat transfer analysis model for estimating the heat flux in real gun barrels with varying cross-sections.…”
Section: Introductionmentioning
confidence: 99%