摘要
为研究新型钛合金炮口在不同射击条件下的温度退变特点及热传导性能,提出其炮口温度退变的三维数值模拟仿真。设立炮口的温度退变初始条件,采用四阶龙格-库塔算法,获取两个不同时段火药燃气的温度分布规律,结合牛顿冷却公式,建立温度退变方程,用有限差分法求解内壁与边界的差分方程。结果表明:首发射击时,炮口膛壁温度极速上升后缓慢退变,连续射击时,炮口内壁温度均呈迅速上升再迅速退变的周期性升降,当发射数量增大时,距内壁较远点温度变化不明显,较近点与内壁温度变化相同,均在温度上升后快速退变,且导热系数较高,导热效率更快,热传导性能较好。
In order to study the temperature degeneration characteristics and thermal conductivity of the new titanium alloy muzzle under different shooting conditions,a three-dimensional numerical simulation of the temperature degeneration of the new titanium alloy muzzle was proposed.The temperature degeneration of the muzzle was set as initial conditions,the fourth-order Runge-Kutta algorithm was used to obtain the temperature distribution law of the gunpowder gas at two different periods,based on the Newtonian cooling formula,the temperature degeneration equation was established,and the finite difference method was used to solve the difference equation between the inner wall node and the boundary node.The results show that during the first shot,the muzzle wall temperature rises rapidly and then slowly retreats.During continuous shooting,the muzzle wall temperature rises rapidly and then rapidly retreats,which shows the cyclical rise and fall trend.When the number of projectiles fired increases,the temperature of the nodes far from the inner wall does not change significantly,and the nodes close to the inner wall have the same temperature change,and they all degrade rapidly after the temperature rising.Moreover,the thermal conductivity of the proposed method is higher,the thermal conductivity is faster,and the thermal conductivity is better.
作者
胡晶
彭媛
HU Jing;PENG Yuan(School of Computer,Nanchang Institute of Technology,Nanchang 330044,China;School of Information and Engineering,Jiangxi Agricultural University,Nanchang 330045,China)
出处
《兵器材料科学与工程》
CAS
CSCD
北大核心
2021年第2期98-102,共5页
Ordnance Material Science and Engineering
基金
江西省教育厅科学技术项目(JJ190206)
江西省教育科学“十三五”规划重点项目(20ZD023)。
关键词
钛合金
小口径
火炮炮口
温度退变
初始条件
数值模拟
titanium alloy
small diameter
gun muzzle
temperature degeneration
initial conditions
the numerical simulation