Functionally Graded Knitted Actuators with NiTi-Based Shape Memory Alloys for Topographically Self-Fitting Wearables

Area of Science:

• Materials Science
• Wearable Technology
• Textile Engineering

Background:

• Current smart wearables lack dynamic fit, hindering functionality in soft robotics and health monitoring.
• Passive fabrics and fitting mechanisms fail to conform to body concavities, requiring complex adjustments.
• Achieving simultaneous body proximity and adjustable garment stiffness is crucial for advanced wearable applications.

Purpose of the Study:

• To introduce the design, manufacture, and validation of novel self-fitting garments.
• To enable dynamic, topographic conformation of garments to the wearer's unique body shape.
• To explore the use of shape memory alloy (SMA) knitted actuators for temperature-responsive garment fitting.

Main Methods:

• Development of circumferentially contractile garments utilizing NiTi-based shape memory alloy (SMA) knitted actuators.
• Architectural design of garments to facilitate topographical fitting and spatial actuation.
• Tuning SMA actuation temperatures for safe and effective operation on human skin.

Main Results:

• Successful design and validation of the first topographic self-fitting garments.
• Demonstration of dynamic garment conformation to wearer's body shape and size via temperature change.
• Enabled novel garment manufacturing strategies and application possibilities.

Conclusions:

• This research introduces a paradigm shift in wearable technology through advanced materials and structural design.
• Topographical conformation redefines garment fit, enhancing functionality for smart wearables.
• The developed SMA-actuated garments offer a promising solution for advanced wearable applications.