학술논문

Enhancing the Performance of Fin Ray Effect Soft Robotic Finger via Computational Design and Simulation
Document Type
Conference
Source
2024 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) Autonomous Robot Systems and Competitions (ICARSC), 2024 IEEE International Conference on. :189-194 May, 2024
Subject
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Technological innovation
Shape
Fingers
Grasping
Soft robotics
Three-dimensional printing
Rigidity
soft robotic fingers
Fin Ray effect
computational simulation
design optimization
3D printing
adaptive grasping
Language
ISSN
2573-9387
Abstract
Innovations in soft robotics are revolutionizing the field of robotic manipulation. The development of soft robotic fingers inspired by the Fin Ray Effect (FRE) is one of the areas in soft robotics that has seen recent implementation in industrial manipulators, while at the same time still being widely researched. This paper presents a comprehensive approach to the design optimization, computational simulation, and experimental validation of FRE soft robotic fingers that mimic the adaptive grasping capabilities inherent to the biological phenomenon observed in fish fins. Finite element analysis in ANSYS was used to study the structural characteristics that affect FRE finger performance, and grasp strength. This research included the simulation of various finger shapes interacting with a circular shape, to characterize and identify designs that optimize performance across a range of applications. Prototypes were fabricated in Thermoplastic polyurethane (TPU) with a shore of 95A, using Fused Filament Fabrication (FFF) 3D printing technology to validate the simulation results. The results highlight the significance of accurately factoring in the forces associated with manipulation tasks when designing FRE soft robotic fingers.