کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7157614 | 1462769 | 2018 | 21 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Numerical simulation and optimized design of cased telescoped ammunition interior ballistic
ترجمه فارسی عنوان
شبیه سازی عددی و طراحی بهینه از بالستیک داخلی بالگرد تفنگ تلسکوپی
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کلمات کلیدی
مهمات تلسکوپ کوچک، بالستیک داخلی، باروت، بهینه سازی الگوریتم ژنتیک،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
چکیده انگلیسی
In order to achieve the optimized design of a cased telescoped ammunition (CTA) interior ballistic design, a genetic algorithm was introduced into the optimal design of CTA interior ballistics with coupling the CTA interior ballistic model. Aiming at the interior ballistic characteristics of a CTA gun, the goal of CTA interior ballistic design is to obtain a projectile velocity as large as possible. The optimal design of CTA interior ballistic is carried out using a genetic algorithm by setting peak pressure, changing the chamber volume and gun powder charge density. A numerical simulation of interior ballistics based on a 35Â mm CTA firing experimental scheme was conducted and then the genetic algorithm was used for numerical optimization. The projectile muzzle velocity of the optimized scheme is increased from 1168Â m/s for the initial experimental scheme to 1182Â m/s. Then four optimization schemes were obtained with several independent optimization processes. The schemes were compared with each other and the difference between these schemes is small. The peak pressure and muzzle velocity of these schemes are almost the same. The result shows that the genetic algorithm is effective in the optimal design of the CTA interior ballistics. This work will be lay the foundation for further CTA interior ballistic design.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Defence Technology - Volume 14, Issue 2, April 2018, Pages 119-125
Journal: Defence Technology - Volume 14, Issue 2, April 2018, Pages 119-125
نویسندگان
Jia-gang Wang, Yong-gang Yu, Liang-liang Zhou, Rui Ye,