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 × 10 −3 V Pa −1 is 10 times greater than that of the straight hair of 2.15 × 10 −4 V Pa −1

中文翻译：

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用于声/触觉检测的仿生压电毛发传感器的配置优化。

特殊的感觉毛发是节肢动物检测和识别环境条件（包括声学、压力和气流信号）的重要生物传感器。然而，目前这种仿生微器件的设计方法主要依赖于形状模仿，这极大地限制了它们的性能。在本文中，开发了一种基于遗传算法的新型压电功能毛发设计优化模型，以提高其声压或触觉灵敏度。进一步探索了轴向极化压电毛发的传感机制，确定了影响灵敏度的主要因素，包括毛发结构和轴向应变分布。然后，在 1 Hz 到 500 Hz 的特定频段获得一系列优化的头发配置，