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<p>Shape memory polymers have widespread use in fields like biomedical devices such as stents, sutures, etc., and deployable structures in aerospace, textiles, and robotics. Shape memory polymers (SMPs) exhibit moderate mechanical strength, typically lower than metals or ceramics, but can be enhanced with additives. The mechanical properties of SMPs are defined by elasticity, tensile strength, and toughness. Characteristics that influence the mechanical properties of SMPs are shape fixityratio (SFR), shape recoveryratio (SRR), and recovery time (RT). Optimizing SFR, SRR, and RT enhances the mechanical functionality and durability of SMPs in advanced engineering applications. This investigation determines the shape memory characteristics of 3D-printed PLA parts with embedded stainless steel strips (SSS). The effects of 3D printing parameters such as infill density, raster angle, and the thickness of SSS on the SMPs characteristics were evaluated. Results indicated that SSS thickness emerged as the most influential parameter, followed by infill density and raster angle on SMP characteristics. Optimization using RSM yielded an optimal configuration of a 56.881º raster angle, 100% infill density, and 0.202&#xa0;mm SSS thickness. Predicted values were 97.995% for SFR, 96.142% for SRR, and 5.017 seconds for RT. Confirmatory experiments yielded SFR at 96.5%, SRR at 95.019%, and RT at 5.25 seconds, with deviations of 1.52%, 1.16%, and 4.644%, respectively, from the predicted value. Also, gray relational analysis (GRA) was utilized for multi-objective optimization to tackle complex decision-making challenges efficiently.</p>

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Assessment of Shape Recovery Features Embedded with Metal Strip in 3D-Printed Polylactic Acid Parts

  • 期刊论文

  • 发表日期：

    2025年6月19日

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  • Vivek Kumar Gupta,
  • Ashutosh Kaushik,
  • Atish Kumar,
  • Gourav Sharma,
  • Narendra Kumar,
  • Shailendra S. Bhadauria

摘要

Shape memory polymers have widespread use in fields like biomedical devices such as stents, sutures, etc., and deployable structures in aerospace, textiles, and robotics. Shape memory polymers (SMPs) exhibit moderate mechanical strength, typically lower than metals or ceramics, but can be enhanced with additives. The mechanical properties of SMPs are defined by elasticity, tensile strength, and toughness. Characteristics that influence the mechanical properties of SMPs are shape fixityratio (SFR), shape recoveryratio (SRR), and recovery time (RT). Optimizing SFR, SRR, and RT enhances the mechanical functionality and durability of SMPs in advanced engineering applications. This investigation determines the shape memory characteristics of 3D-printed PLA parts with embedded stainless steel strips (SSS). The effects of 3D printing parameters such as infill density, raster angle, and the thickness of SSS on the SMPs characteristics were evaluated. Results indicated that SSS thickness emerged as the most influential parameter, followed by infill density and raster angle on SMP characteristics. Optimization using RSM yielded an optimal configuration of a 56.881º raster angle, 100% infill density, and 0.202 mm SSS thickness. Predicted values were 97.995% for SFR, 96.142% for SRR, and 5.017 seconds for RT. Confirmatory experiments yielded SFR at 96.5%, SRR at 95.019%, and RT at 5.25 seconds, with deviations of 1.52%, 1.16%, and 4.644%, respectively, from the predicted value. Also, gray relational analysis (GRA) was utilized for multi-objective optimization to tackle complex decision-making challenges efficiently.