Thermal–chemical–mechanical gun bore erosion of an advanced artillery system part two: modeling and predictions

Sopok, Samuel; Rickard, C. E.; Dunn, S.

doi:10.1016/j.wear.2004.09.030

Cited by 56 publications

(31 citation statements)

References 5 publications

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“…33 When there is a lack of measured data for designing new weapons, degradation data can also be obtained by theoretical formulas and/or numerical simulation: under a given working condition, the wall temperature distribution of the gun bore can be calculated by Finite Element Analysis (FEA) models. 18,34 The ablation depth value of each bullet in the dangerous section (starting position of rifling) can be deducted, [15][16][17][18]21 thus the degradation data (ie, muzzle velocity) varying with projectile quantity can be simulated by solving the interior ballistics equations. 35 Because of the complexity of the physical model, we did not use the theoretical method to establish the empirical model in this paper.…”

Section: Case Studymentioning

confidence: 99%

Probabilistic life analysis of vital components considering multistage degradation under variable working conditions

Fang

Wei

2018

Quality & Reliability Eng

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The lifespan of a mechanical product is related to its working conditions; the product's performance typically shows a multistage degradation pattern throughout its life profile. The performance degradation is generally researched under constant test conditions, while the effects of different working conditions on life are seldom considered. This paper proposes a staged recursive derivation method for the multistage degradation under variable working conditions. The proposed method works by merging measured degradation data with an empirical degradation model. The measured degradation data of a new prototype are utilized to update the staged degradation model based on a Bayesian posterior probability analysis. The staged degradation model is derived stage by stage, and then the probabilistic life of the new prototype is predicted. The degradation data of a machine‐gun barrel are used as a case study to demonstrate and validate the proposed method. The results show that the probabilistic life of the test prototype can be predicted effectively in the case of relatively little measured degradation data at the product development stage. Furthermore, the proposed method appears to be especially suited to mechanical components requiring short test periods or low test costs.

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Section: Case Studymentioning

confidence: 99%

Probabilistic life analysis of vital components considering multistage degradation under variable working conditions

Fang

Wei

2018

Quality & Reliability Eng

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“…where λ is the thermal conduction coefficient of gun barrel, g T is the temperature of propellant gas obtained from interior ballistic solution, 1 h is the convective heat transfer coefficient between propellant gas and the inside wall of gun barrel, 2 h is the convective heat transfer coefficient between ambient gas and the outside wall of gun barrel, 0 r is the internal radius of gun barrel, and R represents the external radius of gun barrel.…”

Section: Deterministic Conditions Of Solution (1) Initial Conditionsmentioning

confidence: 99%

“…Research has shown that the internal bore erosion is the result of the combined effects of thermal impact, chemical reaction, and mechanical friction, and the thermal factor plays a primary role [1][2][3][4] . Heating of gun barrel will cause several negative influences, such as erosion of gun bore, limitation of firing rate, decrease of firing accuracy, and the presence of thermal stress in gun barrel.…”

Section: Introductionmentioning

confidence: 99%

Numerical Analysis and Experimental Study of Gun Barrel’s Two-dimensional Transient Temperature Field

Gao¹,

Zhou²,

Wang³

et al. 2017

dtmse

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Abstract. This paper aims at gun erosion under the condition of periodic thermal shock during firing. Firstly, the mathematical model with two-dimensional heat conduction for gun barrel was established. Secondly, finite difference equations of internal nodes were derived by using ADI (Alternating-Difference-Implicit) scheme, and the finite difference schemes of internal and external nodes under convective boundary conditions were obtained by using energy balance method. Thirdly, gun barrel's temperature distribution was calculated numerically by FORTRAN programming based on the numerical results of interior ballistics with quasi-two-phase flow. Finally, the measurement experiment on gun barrel's transient temperature field was carried out, and the numerical simulation results show excellent agreement with the experimental results. This research has great importance for the further studies of gun barrel erosion mechanism.

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“…The high temperature inner wall of the barrel has been considered to be a factor of leading self-ignition of propellants that can endanger the safety of the launcher and working staffs [2]. In addition, the ablation wear rate of the inner wall will increase due to the excessive temperature [3][4][5]. Ablation wear of the barrel is the main factor limiting the performance of the launcher, which has been studied by many researchers [6,7].…”

Section: Introductionmentioning

confidence: 99%

A Variable‐Rate Firing Optimization of Launcher Based on Particle Swarm Optimization

Zhang

2019

Propellants Explo Pyrotec

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In the continuous firing process of the launcher, the firing rate is usually taken as a fixed value. As such, there exists an issue that low rate firing lacks shooting efficiency while in high rate firing cases the heat accumulates continuously and the temperature increases rapidly in the barrel of the launcher; consequently, this high temperature threatened the service life of the barrel and the safety of the propellant. In this paper, in contrast to the traditional firing method that has a fixed firing rate, a variable‐rate firing method is proposed to solve this issue. Particle swarm optimization algorithm is exploited in this method to optimize the firing rate (cooling time) of the launcher with the objective that the launcher can conduct the entire shooting in a properly short time while without exceeding the safe temperature of the barrel. The temperature distribution of the barrel is obtained by establishing and solving the coupled model between the interior ballistics and the heat transfer process in the barrel. The optimization results show that the proposed firing method with variable rates can effectively improve the firing rate under the premise of ensuring the safety of the barrel temperature.

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Thermal–chemical–mechanical gun bore erosion of an advanced artillery system part two: modeling and predictions

Cited by 56 publications

References 5 publications

Probabilistic life analysis of vital components considering multistage degradation under variable working conditions

Probabilistic life analysis of vital components considering multistage degradation under variable working conditions

Numerical Analysis and Experimental Study of Gun Barrel’s Two-dimensional Transient Temperature Field

A Variable‐Rate Firing Optimization of Launcher Based on Particle Swarm Optimization

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