TY - GEN
T1 - Modeling and Design Optimization of a Pre-stretched Rolled Dielectric Elastomer Actuator
AU - Wu, Jaining
AU - Luo, Kai
AU - Yan, Peinan
AU - Hu, Xiazi
AU - Ji, Huangwei
AU - Chen, Feifei
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2023.
PY - 2023
Y1 - 2023
N2 - Dielectric elastomer actuators (DEAs) possess characteristics closest to human muscles and have been rapidly developed. The rolled DEA is considered more suitable as a driving module due to its ability to output unidirectional deformation. This paper proposes a high-performance actuator, which is connected in series by a spring and a DEA, wherein the spring realizes the pre-stretching of the DEA. To predict the mechanical behavior of the structure, the rolled DEA is simplified into a single-layer tubular DEA, and a static model is established to predict the free displacement and blocking force under different input voltages, spring stiffness coefficients, and geometric parameters of the structure. The optimal pre-stretch effect was tailored by finding the optimal combination of spring stiffness and pre-stretch through a two-dimensional search, thereby maximizing the free displacement, blocking force, or equivalent work. Under the optimal parameter combination aimed at maximizing the equivalent work, the system achieves a free displacement of 0.43 mm and a blocking force of 0.57 N. These values are 3.6 times higher for free displacement and 1.54 times higher for blocking force compared to the springless structure. The effectiveness of the theoretical analysis model is verified by experiments, and relevant manufacturing processes are introduced. This study offers a promising approach to analyzing the effect of pre-stretch on the performance of rolled DEAs, opening up new possibilities for soft robotics applications.
AB - Dielectric elastomer actuators (DEAs) possess characteristics closest to human muscles and have been rapidly developed. The rolled DEA is considered more suitable as a driving module due to its ability to output unidirectional deformation. This paper proposes a high-performance actuator, which is connected in series by a spring and a DEA, wherein the spring realizes the pre-stretching of the DEA. To predict the mechanical behavior of the structure, the rolled DEA is simplified into a single-layer tubular DEA, and a static model is established to predict the free displacement and blocking force under different input voltages, spring stiffness coefficients, and geometric parameters of the structure. The optimal pre-stretch effect was tailored by finding the optimal combination of spring stiffness and pre-stretch through a two-dimensional search, thereby maximizing the free displacement, blocking force, or equivalent work. Under the optimal parameter combination aimed at maximizing the equivalent work, the system achieves a free displacement of 0.43 mm and a blocking force of 0.57 N. These values are 3.6 times higher for free displacement and 1.54 times higher for blocking force compared to the springless structure. The effectiveness of the theoretical analysis model is verified by experiments, and relevant manufacturing processes are introduced. This study offers a promising approach to analyzing the effect of pre-stretch on the performance of rolled DEAs, opening up new possibilities for soft robotics applications.
KW - Dielectric elastomer actuator
KW - Pre-stretch
KW - Soft robotics
UR - http://www.scopus.com/inward/record.url?scp=85175816414&partnerID=8YFLogxK
U2 - 10.1007/978-981-99-6492-5_13
DO - 10.1007/978-981-99-6492-5_13
M3 - Conference contribution
AN - SCOPUS:85175816414
SN - 9789819964918
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 138
EP - 149
BT - Intelligent Robotics and Applications - 16th International Conference, ICIRA 2023, Proceedings
A2 - Yang, Huayong
A2 - Liu, Honghai
A2 - Zou, Jun
A2 - Yin, Zhouping
A2 - Liu, Lianqing
A2 - Yang, Geng
A2 - Ouyang, Xiaoping
A2 - Wang, Zhiyong
PB - Springer Science and Business Media Deutschland GmbH
T2 - 16th International Conference on Intelligent Robotics and Applications, ICIRA 2023
Y2 - 5 July 2023 through 7 July 2023
ER -