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Usage of shape memory alloy actuators for large force active disassembly applications.
Hoda Abuzied1,2, Ayman Abbas1, Mohamed Awad2
1Mechanical Engineering Department, Faculty of Engineering, The British University in Egypt (BUE), El Sherouk City, 11837, Cairo, Egypt.
Heliyon
|August 21, 2020
Summary
Shape memory alloy (SMA) actuators can generate large forces for active disassembly. This study optimized compressive strain to maximize force output while minimizing residual strain for repeated use in demanding applications.
Area of Science:
- Materials Science
- Mechanical Engineering
- Robotics
Background:
- Shape memory alloys (SMAs) offer high force generation in compact actuators, making them suitable for active disassembly.
- Existing research on SMA active disassembly focuses on low-force applications, leaving a gap for high-force scenarios.
Purpose of the Study:
- To investigate the use of SMA actuators for large-force active disassembly.
- To determine the optimal compressive strain for maximizing recovery force and minimizing residual strain in SMA actuators.
- To validate the practical implementation of SMA actuators in high-force active disassembly through a case study.
Main Methods:
- Studied SMA element behavior under repetitive compressive strains, analyzing recovery force and strain hardening.
- Estimated the optimal compressive strain for maximum force generation with minimal residual strain.
- Conducted a practical case study to validate SMA actuator performance in large-force active disassembly.
Main Results:
- Identified compressive strain as the most influential factor on SMA recovery force.
- Determined an optimal compressive strain value that balances high force generation with low residual strain.
- Successfully demonstrated the feasibility of using SMA actuators for large-force active disassembly in a case study.
Conclusions:
- SMA actuators are viable for large-force active disassembly applications.
- Optimizing compressive strain is crucial for efficient and repeatable SMA actuator performance in disassembly tasks.
- This research provides a foundation for developing SMA-based solutions for complex disassembly challenges.
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