Please use this identifier to cite or link to this item: doi:10.22028/D291-41620
Title: Systematic Methodology for an Optimized Design of Shape Memory Alloy‐Driven Continuum Robots
Author(s): Goergen, Yannik
Rizzello, Gianluca
Motzki, Paul
Language: English
Title: Advanced Engineering Materials
Volume: 26 (2024)
Issue: 2
Publisher/Platform: Wiley
Year of Publication: 2023
Free key words: constant curvature
design methodology
optimizations
shape memory alloys
smart continuum robots
DDC notations: 500 Science
Publikation type: Journal Article
Abstract: Continuum robots stand out due to their high dexterity, which allows them to effectively navigate in confined spaces and dynamic environments. At present, motor-controlled tendons represent the most prominent actuation method used in continuum robots which require large drive units, increasing the overall system size and weight. A potential alternative technology to overcome those limitations is represented by shape memory alloy (SMA) wire actuators, which are characterized by extremely high energy density and flexibility, leading to a reduction of the size, weight, and design complexity of continuum robots. The complex thermomechanical behavior of SMA wires, however, makes the design of SMA-based applications a challenging task, and systematic approaches to design SMA-driven continuum robots are poorly understood. To overcome this issue, this article presents a novel systematic methodology for designing SMA-driven continuum robots capable of motion in a three-dimensional environment. First, the kinematic relationship between SMA wires and continuum robot deformation as well as the required actuator force in quasi-static conditions, is mathematically described based on the assumption of a constant curvature deformation. Subsequently, the model is validated by in-plane experiments for different design parameters. Based on the results, a fully integrated, antagonistic SMA continuum robot is built and validated.
DOI of the first publication: 10.1002/adem.202301502
URL of the first publication: https://doi.org/10.1002/adem.202301502
Link to this record: urn:nbn:de:bsz:291--ds-416205
hdl:20.500.11880/37271
http://dx.doi.org/10.22028/D291-41620
ISSN: 1527-2648
1438-1656
Date of registration: 13-Feb-2024
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Systems Engineering
Professorship: NT - Prof. Dr. Paul Motzki
NT - Prof. Dr. Stefan Seelecke
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



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