Bio-inspired design and performance evaluation of a novel morphing nose cone for aerospace vehicles

变形 航空航天 运动学 机制(生物学) 空气动力学 航空航天工程 计算机科学 工程类 机械工程 模拟 人工智能 物理 量子力学 经典力学
作者
Xiangbing Wu,Zhenyu Wu,Lulu Liang,Jieliang Zhao,Wenzhong Wang,Shaoze Yan
出处
期刊:Aerospace Science and Technology [Elsevier]
卷期号:137: 108274-108274 被引量:3
标识
DOI:10.1016/j.ast.2023.108274
摘要

An effective way to improve the flight capability and environmental adaptability of aerospace vehicles is to design a morphing aircraft structure, which can actively change their aerodynamic shape. During different physiological activities, the abdomens of bees are regularly deformed to improve the efficiency of movement. This was used as an inspiration for the design of a nose cone for aerospace vehicles. Based on the deformation mechanism of the bee abdomen, a bionic design of a variable configuration morphing nose cone (MNC) mechanism with high sensitivity is proposed, which can realize real-time reverse self-locking of the mechanism via auxiliary branch chains. Theoretical models for the kinematics and dynamics of the MNC mechanism under two configurations are derived, verifying that the proposed mechanism has good kinematic and dynamic characteristics. The theoretical models are validated through simulation studies. In addition, static finite element simulations are performed to verify that the auxiliary locking branch chain can significantly improve the bearing capacity of the proposed mechanism. Moreover, the force and thermal parameters of different configurations of the MNC under corresponding typical working conditions are analyzed, enabling the improvement of the aerospace vehicle aerodynamic characteristics by the morphing of its nose cone. Finally, based on the analytic hierarchy process, different drag and heat flux reduction schemes are comprehensively evaluated.
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
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
科研通AI2S应助漂亮洙采纳,获得10
刚刚
something完成签到,获得积分10
2秒前
迟大猫应助小鼠星球采纳,获得10
2秒前
2秒前
YY应助科研白白采纳,获得30
3秒前
独特冬天完成签到,获得积分10
5秒前
小黄好运百分百完成签到 ,获得积分10
6秒前
英姑应助饼饼厨师采纳,获得10
6秒前
6秒前
7秒前
NexusExplorer应助从容冰夏采纳,获得10
7秒前
小苏打真甜完成签到,获得积分10
7秒前
小慧儿发布了新的文献求助10
7秒前
九珋完成签到,获得积分10
9秒前
9秒前
10秒前
白云朵儿发布了新的文献求助30
10秒前
kate发布了新的文献求助10
11秒前
hrq发布了新的文献求助10
12秒前
两米七发布了新的文献求助20
12秒前
迟大猫应助小鼠星球采纳,获得10
12秒前
13秒前
正直的梦龙应助zzzsss采纳,获得10
14秒前
14秒前
Rita应助舒心道之采纳,获得10
14秒前
欣慰的寒烟完成签到 ,获得积分10
15秒前
与秋逐鹿完成签到 ,获得积分10
15秒前
wdzz完成签到,获得积分10
15秒前
你好发布了新的文献求助10
15秒前
16秒前
18秒前
xxo完成签到,获得积分10
18秒前
kate完成签到,获得积分10
18秒前
喜悦中道应助Neko采纳,获得30
19秒前
hrq完成签到,获得积分10
19秒前
20秒前
可爱的函函应助小慧儿采纳,获得10
21秒前
迟大猫应助小鼠星球采纳,获得20
21秒前
佩琪发布了新的文献求助10
21秒前
181完成签到,获得积分20
22秒前
高分求助中
Continuum Thermodynamics and Material Modelling 4000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3525253
求助须知:如何正确求助?哪些是违规求助? 3105885
关于积分的说明 9277037
捐赠科研通 2803261
什么是DOI,文献DOI怎么找? 1538467
邀请新用户注册赠送积分活动 716262
科研通“疑难数据库(出版商)”最低求助积分说明 709371