Numerical and Experimental Investigation for Recoil Dynamics of Machine Gun Used in Small Size – Unmanned Aerial Vehicle

反冲 航空航天工程 动力学(音乐) 计算机科学 航空学 模拟 物理 工程类 核物理学 声学
作者
Hasan Tolga Gümüşel,Bülent Acar,Ali Yetgin
标识
DOI:10.1115/imece2023-110303
摘要

Abstract In Unmanned Aerial Vehicle (UAV) with machine gun system, recoil dynamic is very critical phenomenon that occurs when a fast-moving object collides with a stationary or moving object causing a transfer of momentum. In this study, the main objective is to quantify differences in the recoil dynamic behavior of the machine gun affected by UAV structure including its weight, recoil reduction spring and damping pad properties. To do this, dynamic modeling of the whole system is established. Through the study, the effect of UAV structural properties is investigated to meet design requirements basically defined as higher shooting performance and higher stability of platform. The significance of all parameters is evaluated using with Pareto chart. Also, to verify these simulations, a recoil force measurement system on the ground is developed. In this equipment, a compression-type load cell is used together with the data acquisition system to measure the recoil forces. Since the recoil event is expected to be quite short, a high data sample rate is needed. The sampling frequency of the data acquisition system is selected as 20 kHz to be able to observe the recoil dynamics. Several firing tests have been conducted on the ground and impact force versus time data has been presented for each test. In addition, a finite element model of the UAV structure with a machine gun is generated to obtain the dynamic response of the structure in the air. It is found that the numerical simulation with ground test condition results show a good agreement with the data gathered from the experiments. In future, with the help of the verified model, it is aimed that firing performance during a mission in the air can be estimated according to main design goal which is to have higher platform stability while firing.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
lelelelelelele完成签到,获得积分10
1秒前
嗯哼举报kiki求助涉嫌违规
1秒前
半颗橙子发布了新的文献求助10
2秒前
2秒前
23我发布了新的文献求助10
3秒前
清浅时光完成签到,获得积分20
4秒前
FashionBoy应助75986686采纳,获得10
4秒前
J.发布了新的文献求助10
5秒前
5秒前
5秒前
5秒前
乐乐应助Darlin采纳,获得10
6秒前
Sky发布了新的文献求助10
6秒前
7秒前
8秒前
10秒前
10秒前
哈哈爱呀完成签到 ,获得积分10
11秒前
lll关注了科研通微信公众号
11秒前
依诺发布了新的文献求助10
11秒前
yyauthor发布了新的文献求助10
11秒前
研友_nV2pkn发布了新的文献求助10
12秒前
云瑾应助无辜的惜寒采纳,获得10
12秒前
ylky发布了新的文献求助20
12秒前
12秒前
13秒前
13秒前
caipengju发布了新的文献求助30
13秒前
桐桐应助细心的语蓉采纳,获得10
15秒前
啦啦啦发布了新的文献求助10
16秒前
17秒前
123456完成签到,获得积分10
19秒前
19秒前
20秒前
22秒前
朴实天寿应助小小莫采纳,获得20
23秒前
23秒前
烟花应助啦啦啦采纳,获得10
23秒前
柚子发布了新的文献求助10
23秒前
24秒前
高分求助中
Evolution 10000
юрские динозавры восточного забайкалья 800
English Wealden Fossils 700
Mantiden: Faszinierende Lauerjäger Faszinierende Lauerjäger 600
Distribution Dependent Stochastic Differential Equations 500
A new species of Coccus (Homoptera: Coccoidea) from Malawi 500
A new species of Velataspis (Hemiptera Coccoidea Diaspididae) from tea in Assam 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3157298
求助须知:如何正确求助?哪些是违规求助? 2808647
关于积分的说明 7878088
捐赠科研通 2467070
什么是DOI,文献DOI怎么找? 1313183
科研通“疑难数据库(出版商)”最低求助积分说明 630369
版权声明 601919