Citation
Abstract
Shape Memory Alloy (SMA) wires are widely used in wearable and soft-robotic systems due to their high power-to-weight ratio and muscle-like behavior. However, their strong thermo-electro-mechanical coupling requires precise experimental characterization to ensure safe and efficient operation. This study presents an Arduino-based multi-sensor platform for characterizing a 0.38 mm Flexinol® NiTi SMA wire under controlled electrical actuation. The system integrates non-contact infrared temperature sensing (MLX90614-BCC), force measurement using a load cell with HX711, displacement monitoring via VL6180X time-of-flight sensor, and real-time electrical tracking using ACS712 current and voltage modules. Regulated current pulses and PWM-controlled Joule heating were applied following a defined protocol, with prior calibration to ensure accuracy. Results demonstrate the transient thermal response, force–time behavior, stroke characteristics, and electrical input profiles under varying conditions. The synchronized multi-parameter acquisition identifies safe operating windows for wearable rehabilitation applications and provides a scalable framework for optimizing SMA-driven robotic systems.
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Official URL or Download Paper: https://linkinghub.elsevier.com/retrieve/pii/S2307...
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Additional Metadata
| Item Type: | Article |
|---|---|
| Subject: | Engineering (all) |
| Divisions: | Faculty of Engineering Institute of Nanoscience and Nanotechnology |
| DOI Number: | https://doi.org/10.1016/j.jer.2026.07.013 |
| Publisher: | Elsevier B.V. |
| Keywords: | Actuators; Arduino; PWM; SMA; Wearable robotics |
| Sustainable Development Goals (SDGs): | SDG 9: Industry, Innovation and Infrastructure, SDG 3: Good Health and Well-being, SDG 4: Quality Education |
| Depositing User: | Ms. Siti Radziah Mohamed@mahmod |
| Date Deposited: | 05 Aug 2026 02:20 |
| Last Modified: | 05 Aug 2026 02:20 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.jer.2026.07.013 |
| URI: | http://psasir.upm.edu.my/id/eprint/127656 |
| Statistic Details: | View Download Statistic |
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