About this Abstract |
Meeting |
2025 TMS Annual Meeting & Exhibition
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Symposium
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2D Materials – Preparation, Properties, Modeling & Applications
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Presentation Title |
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 find potential applications in the development of sensors and aerospace deployment devices. High surface area, flexibility, and thin sheet-like structure with its stimuli-responsive shape recovery make it unique. Although these nanofiber membranes are designed for high cycle life usage, their shape memory performance plummets after a 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. The addition of GNP enhanced the shape fixity and shape recovery stresses by 658% and 544%, respectively, after 2000 cycles. The localized GNP particles in the membrane lead to quick activation of the switching segments in SMPU by acting as heat transfer points, leading to better shape recovery. An increase in shape-fixing stress is due to GNP, leading to stress-induced crystallization of the soft segments of SMPU during cooling. |
Proceedings Inclusion? |
Planned: |
Keywords |
Nanotechnology, Composites, Mechanical Properties |