Wang Bing, Hou Yi, Zhong Shuncong, Zhu Juncheng, Guan Chenglong
School of Advanced Manufacturing, Fuzhou University, Fuzhou 362251, China.
Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China.
Materials (Basel). 2023 Oct 16;16(20):6702. doi: 10.3390/ma16206702.
Biomimetic structures are inspired by elegant and complex architectures of natural creatures, drawing inspiration from biological structures to achieve specific functions or improve specific strength and modulus to reduce weight. In particular, the rapid closure of a Venus flytrap leaf is one of the fastest motions in plants, its biomechanics does not rely on muscle tissues to produce rapid shape-changing, which is significant for engineering applications. Composites are ubiquitous in nature and are used for biomimetic design due to their superior overall performance and programmability. Here, we focus on reviewing the most recent progress on biomimetic Venus flytrap structures based on smart composite technology. An overview of the biomechanics of Venus flytrap is first introduced, in order to reveal the underlying mechanisms. The smart composite technology was then discussed by covering mainly the principles and driving mechanics of various types of bistable composite structures, followed by research progress on the smart composite-based biomimetic flytrap structures, with a focus on the bionic strategies in terms of sensing, responding and actuation, as well as the rapid snap-trapping, aiming to enrich the diversities and reveal the fundamentals in order to further advance the multidisciplinary science and technological development into composite bionics.
仿生结构的灵感来源于自然生物优雅而复杂的架构，从生物结构中汲取灵感以实现特定功能，或提高特定的强度和模量以减轻重量。特别是，捕蝇草叶子的快速闭合是植物中最快的运动之一，其生物力学不依赖肌肉组织来产生快速的形状变化，这对工程应用具有重要意义。复合材料在自然界中无处不在，由于其卓越的整体性能和可编程性而被用于仿生设计。在此，我们重点回顾基于智能复合材料技术的仿生捕蝇草结构的最新进展。首先介绍捕蝇草的生物力学概况，以揭示其潜在机制。然后讨论智能复合材料技术，主要涵盖各种双稳态复合结构的原理和驱动机制，接着是基于智能复合材料的仿生捕蝇草结构的研究进展，重点关注传感、响应和驱动方面的仿生策略，以及快速捕捉，旨在丰富多样性并揭示基本原理，以进一步推动多学科科学技术发展，进入复合仿生学领域。
