High-Performance Bionic Tactile Sensing Method for Temperature and Pressure Based on Triboelectric Nanogenerator and Micro-Thermoelectric Generator  

作　　者：Changxin Liu Runhe Chen Peihan Huang Guangyi Xing Zhijie Hao Haoxuan Che Dazhi Zhang Rongxin Zhang Mingyu Lu 

机构地区：[1]Marine Engineering College,Dalian Maritime University,116026,Dalian,People’s Republic of China [2]Department of Dermatology,The Second Hospital of Dalian Medical University,116027,Dalian,People’s Republic of China [3]College of Artificial Intelligence,Dalian Maritime University,Dalian,People’s Republic of China

出　　处：《Journal of Bionic Engineering》2025年第2期739-754,共16页仿生工程学报(英文版)

基　　金：supported by the National Natural Science Foundation of China(62372077,61976124);supported by the Fundamental Research Funds for the National Key R&D Project from the Minister of Science and Technology(2021YFA1201604).

摘　　要：In intricate aquatic environments, enhancing the sensory performance of underwater actuators to ensure successful task execution is a significant challenge. To address this, a biomimetic tactile multimodal sensing approach is introduced in this study, based on TriboElectric NanoGenerator (TENG) and Micro-ThermoElectric Generator (MTEG). This method enables actuators to identify the material properties of underwater target objects and to sense grasping states, such as pressure and relative sliding. In this study, a multi-dimensional underwater bionic tactile perception theoretical model is established, and a bionic sensing prototype with a sandwich-type structure is designed. To verify the performance of pressure feedback and material perception, pertinent experiments are conducted. The experimental results reveal that within a pressure measurement range of 0–16 N, the detection error of the sensor is 1.81%, and the maximum pressure response accuracy achieves 2.672 V/N. The sensing response time of the sensor is 0.981 s. The recovery time of the sensor is 0.97 s. Furthermore, the exceptional fatigue resistance of the sensor is also demonstrated. Based on the frequency of the output voltage from the prototype, the sliding state of the target object relative to the actuator can be sensed. In terms of material identification, the temperature response accuracy of the sensor is 0.072 V/°C. With the assistance of machine learning methods, six characteristic materials are identified by the sensor under 7 N pressure, with a recognition accuracy of 92.4%. In complex marine environments, this method has great application potential in the field of underwater tactile perception.

关 键 词：Bionic multi-dimensional sensing-Triboelectric nanogenerator Micro-thermoelectric generator Identification of characteristic material Grasping pressure perception 

分 类 号：TP212[自动化与计算机技术—检测技术与自动化装置]