A rapidly recoverable shape memory polymer with a topologically well-controlled poly(ethyl methacrylate) structure

Area of Science:

• Polymer Science
• Materials Science
• Materials Engineering

Background:

• Conventional shape memory networks often lack simultaneous unique properties, hindering advanced material development.
• Achieving uniform distribution of switching segments and network points is a key challenge in shape memory materials.

Purpose of the Study:

• To design and fabricate a topologically well-controlled network shape memory poly(ethyl methacrylate) (CN-SMPEMA).
• To overcome limitations of conventional networks by achieving simultaneous excellent mechanical properties, shape fixity, recovery, and stability.

Main Methods:

• Utilized controllable atom transfer radical polymerization (ATRP) for precise polymer synthesis.
• Employed copper(I)-catalyzed azide-alkyne cycloaddition (CuAAC) to create a well-defined network structure.
• Introduced tetra-armed functional structures to ensure uniform distribution of switch segments and net-points.

Main Results:

• The fabricated CN-SMPEMA demonstrated a combination of excellent mechanical properties, shape fixity, and shape recovery ratios.
• The material exhibited outstanding cycling stability and rapid recoverability.
• A feasible molecular mechanism underlying the shape memory effect in the CN-SMPEMA system was analyzed and proposed.

Conclusions:

• The topologically well-defined network structure of CN-SMPEMA leads to superior and combined shape memory properties.
• This advanced material offers enhanced performance compared to conventionally crosslinked networks.
• The developed CN-SMPEMA has the potential to expand the applications of acrylate-based shape memory polymers.