The perceptually-inspired model of tactile texture sensor based on the inverse-magnetostrictive effect

Abstract

Purpose The purpose of this study is to develop an output model to extract surface microstructure characteristics of different objects, so as to predict the response of the output voltage obtained from tactile texture sensor. Design/methodology/approach The model is based on the consideration of the inverse-magnetostrictive effect, the flexure mode, the linear constitutive equations and the strain principle. Findings This research predicts and investigates the effect of the texture properties on the tactile texture sensor output characteristics. Originality/value The surface texture characteristic is regarded to be important information to evaluate and recognize the object.

Design of magnetostrictive tactile sensor for depth detection

“…The new Galfenol [(Fe 83 Ga 17 ) 99.4 B 0.6 ] shows obvious changes in magnetic induction intensity when subjected to external pressure (Zheng et al , 2019). This feature makes it possible for new tactile sensors with depth perception capability (Wan et al , 2018). In addition, Galfenol has the advantages of high tensile strength, good ductility and high electromechanical coupling efficiency (Zheng et al , 2019).…”