Structure Optimization and Simulation Analysis of Multi-Modal Perceptive Humanoid Finger Sensor

This paper presents a new type of humanoid finger sensor that uses artificial skin combined with conductive liquid to realize the physical properties such as object temperature, 3D force and torque. Different fluids have different influences on signal attenuation, thermal conductivity. Therefore, a turbulence model for conducting liquids is established by FLUENT, multi-factor orthogonal test method is used to optimize the design of the key parameters such as fluid viscosity, pipe diameter and pressure, the optimized key parameters are obtained through simulation analysis, so as to realize the quick response of the tactile signal, it lays the foundation for subsequent experiments to improve the accuracy of data processing.