| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
2025 Technical Division Student Poster Contest
|
| Presentation Title |
SPG-19: High Cycle Shape Memory Performance Evaluation of GNP- Reinforced Polyurethane Electrospun Membranes Based on a Novel Constrained Shape Recovery Approach |
| Author(s) |
Rony Thomas Murickan, Lihua Lou, Luiza Benedetti, Abhijith Kunneparambil Sukumaran, Denny John, Anil Lama, Arvind Agarwal |
| On-Site Speaker (Planned) |
Rony Thomas Murickan |
| Abstract Scope |
Shape memory properties of electrospun polymer finds potential application in development of sensors and aerospace deployment devices. High surface area, flexibility, and thin sheet like structure with its stimuli responsive shape recovery makes it unique. Although these nanofiber membranes are designed for high cycle life usage, their shape memory performance plummets after few cycles. Here in this work, shape memory properties of GNP-reinforced shape memory polyurethane (SMPU) electrospun membranes are tested for higher cycles with a constrained shape recovery approach. Addition of GNP enhanced the shape fixity and shape recovery stresses by 745% and 500% respectively after 2000 cycles. This enhancement is attributed to GNP, which increased conductivity, enabling jet thinning during electrospinning and resulting in finer nanofibers that improved stress transfer. Additionally, molecular alignment and stabilization facilitated by GNP during higher cycles, combined with strain-induced permanent stiffening of SMPU, led to superior shape memory properties. |
| Proceedings Inclusion? |
Undecided |
| Keywords |
Polymers, Nanotechnology, Thin Films and Interfaces |