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<p>This study explores the development of advanced thermo-sensitive shape memory polymer (SMP) blends for 4D printing using Fused Deposition Modeling (FDM). The investigation explores the thermal, mechanical, and shape memory properties of various polymer blends, including polylactic acid (PLA), acrylonitrile butadiene styrene (ABS), polyethylene terephthalate glycol (PETG), and polymethyl methacrylate (PMMA). By employing Differential Scanning Calorimetry (DSC), mechanical testing, and shape memory evaluation, the study assesses the miscibility, tensile strength, and shape recovery performance of different blend compositions. Results reveal that PLA/PMMA blend with 75 wt% PMMA exhibited the highest tensile strength at 54.19&#xa0;MPa in the 0° orientation, while the PLA/PETG blend demonstrated the best tensile strain of 10,32% in the 90° orientation. In terms of shape memory performance, the PLA/PMMA blend with 75 wt% PLA achieved optimal shape fixity of 93.33% and shape recovery of 100%, with a rapid recovery time of 7&#xa0;s. The PLA/PETG blend also performed well, with a shape fixity of 98.33% and a full recovery of 100%, though with a slower recovery time of 28&#xa0;s. These findings highlight the potential of these polymer blends to enhance the mechanical performance and responsiveness of 4D printed structures, making them ideal for applications in soft robotics, biomedical devices, and adaptive systems.</p>

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Designing advanced 4D printing thermo-sensitive shape memory polymer blends for enhanced mechanical and shape memory performances

  • 期刊论文

  • 发表日期：

    2025年1月30日

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  • Karima Bouguermouh,
  • Mohamed Habibi,
  • Luc Laperrière,
  • Zeshi Li,
  • Yasmine Abdin

摘要

This study explores the development of advanced thermo-sensitive shape memory polymer (SMP) blends for 4D printing using Fused Deposition Modeling (FDM). The investigation explores the thermal, mechanical, and shape memory properties of various polymer blends, including polylactic acid (PLA), acrylonitrile butadiene styrene (ABS), polyethylene terephthalate glycol (PETG), and polymethyl methacrylate (PMMA). By employing Differential Scanning Calorimetry (DSC), mechanical testing, and shape memory evaluation, the study assesses the miscibility, tensile strength, and shape recovery performance of different blend compositions. Results reveal that PLA/PMMA blend with 75 wt% PMMA exhibited the highest tensile strength at 54.19 MPa in the 0° orientation, while the PLA/PETG blend demonstrated the best tensile strain of 10,32% in the 90° orientation. In terms of shape memory performance, the PLA/PMMA blend with 75 wt% PLA achieved optimal shape fixity of 93.33% and shape recovery of 100%, with a rapid recovery time of 7 s. The PLA/PETG blend also performed well, with a shape fixity of 98.33% and a full recovery of 100%, though with a slower recovery time of 28 s. These findings highlight the potential of these polymer blends to enhance the mechanical performance and responsiveness of 4D printed structures, making them ideal for applications in soft robotics, biomedical devices, and adaptive systems.