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Работа магистра наук - Robert Todd (Miner). Computational Interior Ballistics Modeling / Роберт Тод (младший). Компьютерное внутрибаллистическое моделирование

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Работа магистра наук - Robert Todd (Miner). Computational Interior Ballistics Modeling / Роберт Тод (младший). Компьютерное внутрибаллистическое моделирование
Bachelor of Science in Mechanical Engineering program. University of New Mexico, Albuquerque, New Mexico, USA, 2012. – 110 p.
Interior ballistics are the events in a gun system that determines the performance of any gun design. In order to efficiently design any gun system the internal ballistics should be understood to minimize energy losses and correctly define design parameters. The goal of this computational model is to develop a ballistics model to aid in gun design. A computational analysis of the dynamics events aids in the design of the gun system by providing output information such as pressure, velocity, charge burnout, and projectile distance versus time profiles. By applying the chemical and physical parameters of the propellant, gun breech geometry, projectile mass and gun barrel parameters, one can iterate through design parameters in an attempt to improve gun performance. There will be several computational models describing the main program being a lumped parameter internal ballistics analysis. The muzzle velocity of the model has been validated with empirical testing to at least one gun system and being applied to other gun systems for further validation on different designs. The validation of the muzzle velocity and breech pressure will build confidence in the model and allow for the model to be further developed into a more user friendly program.
Contents:
Abstract.
Chapter I. Introduction.
Introduction.
Chapter II. Interior ballistic modeling.
Ballistics Problem.
Pressure-Travel Curve.
Numerical Techniques.
Chapter III. Model comparison.
Gun Models.
PAN Disruptor.
Thunder Range Powder Gun Results.
Chapter IV. Discussion.
Model Difficulties.
Model Limitations.
Chapter V. Conclusions.
Summary.
Lessons Learned.
Future Work.
References.
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