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Design of pre-trained shape memory alloy actuators for finger rehabilitation

ملخص البحث

Soft robotic hand exoskeletons have become a prominent and reliable tool for assisting in rehabilitation training to restore hand motor function. While many soft exoskeletons have been developed in recent decades, there remains a clear need for compact, flexible, and portable solutions suitable for both daily living activities and rehabilitation. The objective of this research is to develop a novel structural design for a soft rehabilitation glove using pre-trained SMA wires to aid in regaining hand and finger motion. We explore various actuator design patterns, including rectangular, outward coil, inward coil, small sinusoidal, large sinusoidal, and butterfly models. The selected actuator design is applied to a prototype glove and experimentally validated on human fingers. The resulting pre-trained SMA-based glove is lightweight, weighing only 15 g, and can produce a maximum force of 15 N.

مؤلف البحث
Venkatesan Vellaiyan, Myeongho Jeong, Youngshik Kim, Abdul Manan Khan, Vishwanath Bijalwan, Buhyun Shin, Shuaiby Mohamed
تاريخ البحث
مجلة البحث
Sensors and Actuators A: Physical
مؤلف البحث
صفحات البحث
116838
الناشر
Elsevier
عدد البحث
394
سنة البحث
2025