Integrated Multicomponent Modeling and Optimal Design for Antagonistic Shape Memory Alloy Bending Joint

Shape memory alloys (SMAs) are highly suitable for flexible and soft robots due to their lightweight nature, high power density, and miniaturization potential. However, the design of SMA-based continuum bending joints for robotic applications is often restricted by the inherent trade-offs in their mechanical characteristics. In this work, we present an integrated multicomponent framework that encompasses four submodels, including bending angle, load-deflection stiffness, distal twisting angle, and output force for antagonistic SMA wire bending joints. The framework unifies all submodels under a common temperature input set and systematically clarifies their coupled relationships, providing quantitative insight into their trade-offs. A model-based optimal design methodology is then developed for the SMA bending joint, balancing the different mechanical performance metrics to deliver an optimal joint design that satisfies the task requirements. Experiments on the SMA bending joint with optimal design parameters validate the accuracy of various submodels. Two additional nonoptimal prototypes were experimentally evaluated against the optimized design, validating the feasibility of the proposed optimal design methodology. The integrated multicomponent modeling framework and optimal design methodology address the intricate coupling effects inherent in antagonistic SMA wires, minimizing the need for iterative prototyping and facilitating the adoption of SMA wires in flexible and soft robots.

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Publication Details

Journal
Soft Robotics
Published
2026-04-30
DOI
https://doi.org/10.1177/21695172261445905
Primary Topic
Shape Memory Alloy Transformations
Type
article
Field-Weighted Citation Impact
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article

Integrated Multicomponent Modeling and Optimal Design for Antagonistic Shape Memory Alloy Bending Joint

Qingpeng Ding, Jibiao Chen, J Z Chen, Zechao Wang et al.
Soft Robotics
Shape Memory Alloy Transformations
article

Integrated Multicomponent Modeling and Optimal Design for Antagonistic Shape Memory Alloy Bending Joint

Qingpeng Ding, Jibiao Chen, J Z Chen, Zechao Wang, Shing Shin Cheng
article en

Abstract

Shape memory alloys (SMAs) are highly suitable for flexible and soft robots due to their lightweight nature, high power density, and miniaturization potential. However, the design of SMA-based continuum bending joints for robotic applications is often restricted by the inherent trade-offs in their mechanical characteristics. In this work, we present an integrated multicomponent framework that encompasses four submodels, including bending angle, load-deflection stiffness, distal twisting angle, and output force for antagonistic SMA wire bending joints. The framework unifies all submodels under a common temperature input set and systematically clarifies their coupled relationships, providing quantitative insight into their trade-offs. A model-based optimal design methodology is then developed for the SMA bending joint, balancing the different mechanical performance metrics to deliver an optimal joint design that satisfies the task requirements. Experiments on the SMA bending joint with optimal design parameters validate the accuracy of various submodels. Two additional nonoptimal prototypes were experimentally evaluated against the optimized design, validating the feasibility of the proposed optimal design methodology. The integrated multicomponent modeling framework and optimal design methodology address the intricate coupling effects inherent in antagonistic SMA wires, minimizing the need for iterative prototyping and facilitating the adoption of SMA wires in flexible and soft robots.

Soft Robotics
Chinese University of Hong Kong (HK), Nano and Advanced Materials Institute (CN), Beihang University (CN)
Openalex Percentile: Top 15%
Shape Memory Alloy Transformations
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