Morphological Intelligence Mechanisms in Biological and Biomimetic Flow Sensing

Author:

Gong Zheng1ORCID,Cao Yudong1,Cao Hongchao1,Wan Bowei1,Yang Zhen1,Ke Xin1,Zhang Deyuan1,Chen Huawei1,Wang Kaijie2,Jiang Yonggang1ORCID

Affiliation:

1. Insitute of Bionic and Micro-Nano Systems School of Mechanical Engineering and Automation Beihang University Beijing 100191 China

2. Beijing Tongren Eye Center Beijing Tongren Hospital Capital Medical University Beijing Ophthalmology & Visual Sciences Key Lab Beijing 100069 China

Abstract

Many aquatic and aerial animals have evolved highly sensitive flow receptors to help them survive in challenging environments. The biological flow receptors, such as filiform hairs, lateral lines, and seal whiskers, are elegantly designed with interesting biomechanical processing principles for extreme sensitivity, exhibiting obvious morphological intelligence. For instance, superficial neuromasts on the surface of fish body have an elongated cupula to enhance flow detection with a magnified drag. The flow‐induced mechanical information is transferred to arrayed hair bundles in the neuromasts, which show spontaneous oscillation and mechanical coupling effects for a high mechanical sensitivity. In this review, the biomechanical principles of morphological intelligence in biological flow field receptors are discussed, with an emphasis on the functions of stimulus enhancement, noise reduction, and nonlinear oscillation. In addition, the recent achievements in flow sensors with morphological intelligence are summarized in this article. Though there is still a big gap in principle discovery and practical application of morphological intelligence in engineered sensors, it can be anticipated that the field of intelligent flow sensing will be significantly promoted by the establishment of morphological intelligence models.

Funder

National Natural Science Foundation of China

Beijing Municipal Natural Science Foundation

Publisher

Wiley

Subject

General Medicine

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