Multi-Objective Design Optimization of a Shape Memory Alloy Flexural Actuator
This paper presents a computational model and design optimization strategy for shape memory alloy (SMA) flexural actuators. These actuators consist of curved SMA wires embedded within elastic structures; one potential application is positioning microcatheters inside blood vessels during clinical tre...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-02-01
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| Series: | Actuators |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-0825/8/1/13 |
| _version_ | 1818505839380529152 |
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| author | Casey D. Haigh John H. Crews Shiquan Wang Gregory D. Buckner |
| author_facet | Casey D. Haigh John H. Crews Shiquan Wang Gregory D. Buckner |
| author_sort | Casey D. Haigh |
| collection | DOAJ |
| description | This paper presents a computational model and design optimization strategy for shape memory alloy (SMA) flexural actuators. These actuators consist of curved SMA wires embedded within elastic structures; one potential application is positioning microcatheters inside blood vessels during clinical treatments. Each SMA wire is shape-set to an initial curvature and inserted along the neutral axis of a straight elastic member (cast polydimethylsiloxane, PDMS). The elastic structure preloads the SMA, reducing the equilibrium curvature of the composite actuator. Temperature-induced phase transformations in the SMA are achieved via Joule heating, enabling strain recovery and increased bending (increased curvature) in the actuator. Actuator behavior is modeled using the homogenized energy framework, and the effects of two critical design parameters (initial SMA curvature and flexural rigidity of the elastic sleeve) on activation curvature are investigated. Finally, a multi-objective genetic algorithm is utilized to optimize actuator performance and generate a Pareto frontier, which is subsequently experimentally validated. |
| first_indexed | 2024-12-10T21:56:20Z |
| format | Article |
| id | doaj.art-4985b45506254d4db4f5fd4718af91ae |
| institution | Directory Open Access Journal |
| issn | 2076-0825 |
| language | English |
| last_indexed | 2024-12-10T21:56:20Z |
| publishDate | 2019-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Actuators |
| spelling | doaj.art-4985b45506254d4db4f5fd4718af91ae2022-12-22T01:32:02ZengMDPI AGActuators2076-08252019-02-01811310.3390/act8010013act8010013Multi-Objective Design Optimization of a Shape Memory Alloy Flexural ActuatorCasey D. Haigh0John H. Crews1Shiquan Wang2Gregory D. Buckner3Department of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695-7910, USADepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695-7910, USAFlexiv Robotics Ltd., Santa Clara, CA 95054, USADepartment of Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC 27695-7910, USAThis paper presents a computational model and design optimization strategy for shape memory alloy (SMA) flexural actuators. These actuators consist of curved SMA wires embedded within elastic structures; one potential application is positioning microcatheters inside blood vessels during clinical treatments. Each SMA wire is shape-set to an initial curvature and inserted along the neutral axis of a straight elastic member (cast polydimethylsiloxane, PDMS). The elastic structure preloads the SMA, reducing the equilibrium curvature of the composite actuator. Temperature-induced phase transformations in the SMA are achieved via Joule heating, enabling strain recovery and increased bending (increased curvature) in the actuator. Actuator behavior is modeled using the homogenized energy framework, and the effects of two critical design parameters (initial SMA curvature and flexural rigidity of the elastic sleeve) on activation curvature are investigated. Finally, a multi-objective genetic algorithm is utilized to optimize actuator performance and generate a Pareto frontier, which is subsequently experimentally validated.https://www.mdpi.com/2076-0825/8/1/13shape memory alloymicroscale actuationdesign optimizationgenetic algorithm |
| spellingShingle | Casey D. Haigh John H. Crews Shiquan Wang Gregory D. Buckner Multi-Objective Design Optimization of a Shape Memory Alloy Flexural Actuator Actuators shape memory alloy microscale actuation design optimization genetic algorithm |
| title | Multi-Objective Design Optimization of a Shape Memory Alloy Flexural Actuator |
| title_full | Multi-Objective Design Optimization of a Shape Memory Alloy Flexural Actuator |
| title_fullStr | Multi-Objective Design Optimization of a Shape Memory Alloy Flexural Actuator |
| title_full_unstemmed | Multi-Objective Design Optimization of a Shape Memory Alloy Flexural Actuator |
| title_short | Multi-Objective Design Optimization of a Shape Memory Alloy Flexural Actuator |
| title_sort | multi objective design optimization of a shape memory alloy flexural actuator |
| topic | shape memory alloy microscale actuation design optimization genetic algorithm |
| url | https://www.mdpi.com/2076-0825/8/1/13 |
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