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Modeling and Analysis of a Composite Structure-Based Soft Pneumatic Actuators for Soft-Robotic Gripper.
Ming Yu1, Wenwen Liu2, Jian Zhao3
1School of Computer and Information Engineering, Tianjin Chengjian University, Tianjin 300384, China.
Sensors (Basel, Switzerland)
|July 9, 2022
Summary
This study models the bending angle and motion of novel composite soft pneumatic actuators. The developed analytical models accurately predict actuator behavior and grasping performance in soft robotic applications.
Area of Science:
- Robotics
- Materials Science
- Mechanical Engineering
Background:
- Soft pneumatic actuators (SPAs) are vital components in soft robotics, with their bending characteristics directly impacting functionality.
- Accurate modeling of SPA bending angles and kinematics is essential for predictable performance in practical applications.
Purpose of the Study:
- To develop analytical models for predicting the bending angle and motion of a novel composite SPA.
- To validate the models through experimental comparison and demonstrate their utility in soft gripper design.
Main Methods:
- A constitutive model was established based on the actuator's structure and deformation.
- Moment equilibrium and virtual work principles were combined to model bending angles.
- Kinematic modeling, utilizing piecewise constant curvature and coordinate transformation, was adapted for SPA motion prediction.
Main Results:
- The developed analytical models demonstrated good agreement with experimental results for bending angles and motion.
- The models successfully explained the bending principles of the composite soft pneumatic actuators.
- Experimental validation using a soft gripper showed effective pinching and enveloping grasping capabilities.
Conclusions:
- The proposed analytical models provide a robust framework for understanding and predicting the behavior of composite SPAs.
- These models are crucial for the design and application of SPAs in advanced soft robotic systems.
- The study validates the effectiveness of the models in predicting both individual actuator performance and integrated robotic system functionality.
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