4D printing of PETG/TPU shape memory nanocomposites reinforced with carbon nanotubes (CNTs) and carbon black (CB)

4D printing of shape memory polymers (SMPs) enables time-programmed function, and conductive fillers are promising additives for improving thermomechanical performance and potentially enabling future electrothermal activation. In this study, the effect of carbon-based nanoparticles, including carbon black (CB) and carbon nanotubes (CNTs), on a PETG/TPU (70/30) blend was investigated using formulations reinforced with CB or CNT at 6 wt% and a hybrid CB3%/CNT3%. The mechanical properties, dynamic mechanical thermal analysis (DMTA), printability, morphology, and shape memory behavior of the nanocomposites were investigated. The neat PETG/TPU showed UTS 26.22 MPa and elongation 7.9%; the elastic modulus was essentially unchanged by adding nanoparticles. Among the nanocomposites, CB6% provided the best overall balance, with UTS 26.63 MPa, elongation 7.67%, and 92% recovery in 19 s (fixity 100%). CNT6% exhibited lower strength but higher ductility (elongation roughly doubled versus the neat blend) with recovery close to CB6%. The CB3%/CNT3% hybrid showed the weakest mechanical response and the lowest recovery. microstructural properties supported these trends: CB showed more uniform dispersion and fewer interlayer voids; CNT was broadly similar but slightly rougher; the hybrid displayed more defects. Overall, 6 wt% CB is identified as the most balanced composition for PETG/TPU when mechanical integrity, printability, and rapid thermally induced shape recovery are required. 6 wt% CNT is suitable where additional deformability is desired, while the equal-ratio hybrid should be avoided unless dispersion is improved.

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Publication Details

Journal
Journal of Materials Research and Technology
Published
2026-06-18
DOI
https://doi.org/10.1016/j.jmrt.2026.06.165
Primary Topic
Polymer composites and self-healing
Type
article
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article

4D printing of PETG/TPU shape memory nanocomposites reinforced with carbon nanotubes (CNTs) and carbon black (CB)

Mostafa Baghani, Davood Rahmatabadi, Mohammad Amin Yousefi, Sahar Khorooty et al.
Journal of Materials Research and Technology
Polymer composites and self-healing
article

4D printing of PETG/TPU shape memory nanocomposites reinforced with carbon nanotubes (CNTs) and carbon black (CB)

Mostafa Baghani, Davood Rahmatabadi, Mohammad Amin Yousefi, Sahar Khorooty, Mahdi Khajepour, Majid Baniassadi
article en

Abstract

4D printing of shape memory polymers (SMPs) enables time-programmed function, and conductive fillers are promising additives for improving thermomechanical performance and potentially enabling future electrothermal activation. In this study, the effect of carbon-based nanoparticles, including carbon black (CB) and carbon nanotubes (CNTs), on a PETG/TPU (70/30) blend was investigated using formulations reinforced with CB or CNT at 6 wt% and a hybrid CB3%/CNT3%. The mechanical properties, dynamic mechanical thermal analysis (DMTA), printability, morphology, and shape memory behavior of the nanocomposites were investigated. The neat PETG/TPU showed UTS 26.22 MPa and elongation 7.9%; the elastic modulus was essentially unchanged by adding nanoparticles. Among the nanocomposites, CB6% provided the best overall balance, with UTS 26.63 MPa, elongation 7.67%, and 92% recovery in 19 s (fixity 100%). CNT6% exhibited lower strength but higher ductility (elongation roughly doubled versus the neat blend) with recovery close to CB6%. The CB3%/CNT3% hybrid showed the weakest mechanical response and the lowest recovery. microstructural properties supported these trends: CB showed more uniform dispersion and fewer interlayer voids; CNT was broadly similar but slightly rougher; the hybrid displayed more defects. Overall, 6 wt% CB is identified as the most balanced composition for PETG/TPU when mechanical integrity, printability, and rapid thermally induced shape recovery are required. 6 wt% CNT is suitable where additional deformability is desired, while the equal-ratio hybrid should be avoided unless dispersion is improved.

Journal of Materials Research and TechnologyVol. 43
University of Tehran (IR)
Openalex Percentile: Top 13%
Polymer composites and self-healing
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