Design and optimization of soft finger actuators for rehabilitation applications: A combined finite element and neural network approach.

ABSTRACT: This study presents a comprehensive analysis of soft finger actuators using finite element modeling to assess their performance in various structural configurations. By conducting detailed numerical simulations, we explore how variations in structural parameters influence the bending angle, thereby guiding iterative design improvements. Specifically, the research examines the impact of critical design factors, such as the number of bellows, actuator height, surrounding thickness, and foot thickness, on the bending behavior of soft actuators. The objective is to optimize these actuators for use in rehabilitation training gloves, where precise motion control is para-mount. Our findings reveal that increasing both the height and the number of bellows significantly enhances the achievable bend

SUBMITTER: Elsamanty M 

PROVIDER: S-EPMC12578219 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature