Design and Simulation of a Bio-Inspired Deployable Mechanism Achieved by Mimicking the Folding Pattern of Beetles' Hind Wings.

IF 3.4 3区 医学 Q1 ENGINEERING, MULTIDISCIPLINARY
Hongyun Chen, Xin Li, Shujing Wang, Yan Zhao, Yu Zheng
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Abstract

In this paper, a beetle with excellent flight ability and a large folding ratio of its hind wings is selected as the biomimetic design. We mimicked the geometric patterns formed during the folding process of the hind wings to construct a deployable mechanism while calculating the sector angles and dihedral angles of the origami mechanism. In the expandable structure of thick plates, hinge-like steps are added on the thick plate to effectively avoid interference motion caused by the folding of the thick plate. The kinematic characteristics of two deployable mechanisms were characterized by ADAMS 2018 software to verify the feasibility of the mechanism design. The finite element method is used to analyze the structural performance of the deployable mechanism, and its modal response is analyzed in both unfolded and folded configurations. The aerodynamic generation of a spatially deployable wing is characterized by computational fluid dynamics (CFD) to study the vortex characteristics at different frame rates. Based on the aerodynamic parameters obtained from CFD simulation, a wavelet neural network is introduced to learn and train the aerodynamic parameters.

模拟甲虫后翼折叠模式的仿生展开机构设计与仿真。
本文选取一种飞行能力优异、后翼折叠比大的甲虫作为仿生设计对象。模拟后翼折叠过程中形成的几何图案,构建折纸机构,并计算折纸机构的扇形角和二面角。在厚板可伸缩结构中,在厚板上增加了铰链式台阶,有效避免了厚板折叠产生的干涉运动。利用ADAMS 2018软件对两种可展开机构的运动特性进行了表征,验证了机构设计的可行性。采用有限元方法对可展开机构的结构性能进行了分析,分析了其展开和折叠两种构型下的模态响应。利用计算流体动力学(CFD)对空间展开翼的气动生成进行了研究,研究了不同帧速率下的涡特性。基于CFD仿真得到的气动参数,引入小波神经网络对气动参数进行学习和训练。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomimetics
Biomimetics Biochemistry, Genetics and Molecular Biology-Biotechnology
CiteScore
3.50
自引率
11.10%
发文量
189
审稿时长
11 weeks
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