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DALIAN UNIVERSITY OF TECHNOLOGY Login 中文
Xia Yang

Associate Professor
Supervisor of Doctorate Candidates
Supervisor of Master's Candidates


Gender:Male
Alma Mater:大连理工大学
Degree:Doctoral Degree
School/Department:力学与航空航天学院
Discipline:Vehicle Engineering. Computational Mechanics. Solid Mechanics
Business Address:大连理工大学综合实验2号楼316A房
Contact Information:yangxia@dlut.edu.cn
E-Mail:yangxia@dlut.edu.cn
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Configuration optimization of bionic piezoelectric hair sensor for acoustic/tactile detection

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Indexed by:Journal Papers

Date of Publication:2021-01-10

Journal:BIOINSPIRATION & BIOMIMETICS

Volume:15

Issue:5

ISSN No.:1748-3182

Key Words:piezoelectric hair; sensitivity; optimization; bionic design; acoustic sensing

Abstract:Specialized sensory hairs are important biological sensors for arthropods to detect and recognize environmental conditions including acoustic, pressure and airflow signals. However, the present design methodology of such biomimic micro devices are mainly depending on shape mimicking, which greatly restricts their performance. In this paper, a novel genetic algorithm based optimization model for design of piezoelectric functional hair is developed for improving its acoustic pressure or tactile sensitivity. Furthermore, the sensing mechanism of axially polarized piezoelectric hair is explored and the main influencing factors on sensitivity including hair configuration and axial strain distribution are determined. Then, a series of optimized hair configurations are obtained in a specific frequency band from 1 Hz to 500 Hz, whose average sensitivity of 2.21 x 10(-3)V Pa(-1)is 10 times greater than that of the straight hair of 2.15 x 10(-4)V Pa(-1)with the same size. For tactile load detection, the output voltage of the optimized hair is about 1.5 times as much as that of the straight hair. The obtained hairs are similar with the spider's trichobothria and tactile hair, which presents an explanation of biological hairs sensitive to dynamic and static loads.