Numerical simulation and optimized design of cased telescoped ammunition interior ballistic

Wang, Jia-gang; Yu, Yonggang; Zhou, Liangliang; Rui, Yong

doi:10.1016/j.dt.2017.11.006

Cited by 20 publications

(7 citation statements)

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“…It can be seen from the interior ballistic process of the CTA that the special structure of the CTA makes a great change in the launching process. According to the launching characteristics of the CTA, the following assumptions are used to establish the zero-dimensional interior ballistic model [11]:…”

Section: Interior Ballistics Model Of Ctamentioning

confidence: 99%

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Retracted: Interval uncertain optimization of cased telescoped ammunition interior ballistics considering tolerance design

2023

Propellants Explo Pyrotec

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An interval optimization method considering tolerance design is proposed to solve the uncertainty optimization problem of interior ballistics of cased telescoped ammunition. Firstly, the interval optimization model of the interior ballistics of the cased telescoped ammunition considering tolerance design is constructed. The interval optimization model of the interior ballistics of the cased telescoped ammunition considering tolerance design under uncertainty is presented. Then, considering the extremely low computational efficiency of the interval uncertain optimization, the back propagation neural network surrogate model is introduced. A series of pareto optimal solution is obtained by using non‐dominated sorting genetic algorithm II. Through the given design scheme, it provides a reference for the optimization of the interior ballistic performance of the cased telescoped ammunition under uncertain condition.

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Section: Interior Ballistics Model Of Ctamentioning

confidence: 99%

“…In the performance optimization of the interior ballistics of the buried warhead, most researchers only consider the optimization under its deterministic conditions [10,11]. However, in practical engineering problems, there are inevitably errors or uncertainties related to initial conditions, boundary conditions, measurement and assembly deviations.…”

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confidence: 99%

Retracted: Interval uncertain optimization of cased telescoped ammunition interior ballistics considering tolerance design

2023

Propellants Explo Pyrotec

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“…In recent years, the modern intelligent optimization algorithm has been employed to different fields, among which genetic algorithm (GA) [6][7][8][9], simulated annealing algorithm (SAA) [10][11][12] and particle swarm optimization algorithm (PSO) [13][14][15][16] have been extensively used. Some optimization algorithms, such as genetic algorithm [17][18][19][20] and particle swarm optimization algorithm [21], have been successfully applied to the research of interior ballistic performance optimization of artillery, which, however, have their own shortcomings that are difficult to overcome. For example, owing to the steps of selection, crossover, mutation, coding, decoding, etc, the optimization efficiency of genetic algorithm is low, and it is easy to fall into local optimal solution [21].…”

Section: Introductionmentioning

confidence: 99%

Retracted: Study on Optimization of Interior Ballistic Performance of Cased Telescoped Ammunition Based on Improved Firefly Algorithm

2022

Propellants Explo Pyrotec

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Considering that the evolution operators of common optimization algorithms such as genetic algorithm has a poor convergence speed and solution accuracy in the interior ballistic performance optimization of artillery, an improved firefly algorithm is selected for the interior ballistic performance optimization of cased telescoped ammunition (CTA). It is applied to the interior ballistic mathematical model of CTA to carry out single‐objective optimization and multi‐objective optimization respectively. The results show that in the single‐objective optimization, the muzzle velocity obtained by using the improved firefly algorithm is larger than other commonly used optimization algorithms. Under the constraints of maximum chamber pressure and relative burnout point, the muzzle velocity can be increased by about 30 m/s. In the multi‐objective optimization, three sub‐objectives of muzzle velocity, ballistic efficiency and muzzle pressure are considered respectively, and the multi‐objective firefly algorithm is applied to comprehensively optimize the interior ballistic performance of CTA. Then, the results are compared with the commonly used multi‐objective optimization algorithms, such as non‐dominated sorting genetic algorithm version II (NSGA‐II) and non‐dominated sorting genetic algorithm version III (NSGA‐III), the solution results are a series of Pareto optimal solutions. The obtained optimization results improved the interior ballistic performance and launch safety, providing reference for the reasonable matching of charge structure parameters and the selection of optimization algorithm upon the interior ballistic performance optimization of CTA to some extent.

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“…Значна частина з публікацій останнього часу є кандидатські і докторські дисертації [6; 8-9]. В нашій країні і за кордоном також є публікації присвячені вказаному напрямку [1][2][3][4].…”

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Computer Study of the Mathematical Model of the Artillery Shot Process

et al. 2023

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The article deals with the issue of computer research of the mathematical model of the artillery fire process. Russia’s war against Ukraine showed that the success of the Armed Forces of Ukraine (AFU) largely depends on artillery units. The effectiveness of the actions of the artillery units depends on the normal functioning of artillery weapons. The phenomenon of the shot is characterized by short duration, high pressure and high temperature. The duration of the shot phenomenon is determined by tenths and even hundredths of a second. A pressure of up to 400 MPa and a temperature of more than 2000 С develop in the bore of the weapon. It should be noted that the processes of gunpowder combustion are very complex. They depend on the manufactures, namely, on the type of gunpowder, chemical composition, its type (geometry) and pressure. So, the process of gunpowder combustion is described by equations that were obtained experimentally. Such experiments were carried out a long time ago, so most of the constants currently used in the calculation of the combustion process are expressed in the old ICGSS system of units. Therefore, it should be taken into account in the calculations when determining, for example, the pressure in MPA. The mathematical model of the artillery shot process takes into account all the factors that affect the processes occurring in the barrel. The mathematical model of an artillery shot consists mainly of the gunpowder combustion equation, the energy conversion equation, the projectile motion equation, the initial and boundary conditions. The numerical solution of the given systems of equations was carried out by numerical methods and the differential equations were solved by the Runge-Kutta method. The obtained values of the maximum pressures of powder gases and their comparison with the experimental ones showed that the error does not exceed 3 % which confirms the adequacy of the mathematical model of the artillery shot. Thus, the proposed mathematical model of an artillery shot and the method of its solution can be used to study the influence of various parameters (gunpowder parameters, design parameter of the guns, mass of the projectile and others) on the processes occurring during a shot.

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Numerical simulation and optimized design of cased telescoped ammunition interior ballistic

Cited by 20 publications

References 1 publication

Retracted: Interval uncertain optimization of cased telescoped ammunition interior ballistics considering tolerance design

Retracted: Interval uncertain optimization of cased telescoped ammunition interior ballistics considering tolerance design

Retracted: Study on Optimization of Interior Ballistic Performance of Cased Telescoped Ammunition Based on Improved Firefly Algorithm

Computer Study of the Mathematical Model of the Artillery Shot Process

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