“Computational modeling-enhanced photo-DSC for rapidly developing 4D printable body temperature-responsive self-healing and shape-memory photopolymers”

ئاپتورلار ۋە تەتقىقاتچىلار

Turdimuhammad Abdullah★Elif C KaçakgilRecep Furkan TuranAleyna TuranlıCemil Dizman

نەشرىياتتىن ئوقۇش (DOI)Google Scholar كۆرۈش ئىلمىي نەقىل ئېلىش ۋە چۈشۈرۈش (Cite)

تەتقىقات مەزمۇنى ۋە خۇلاسىسى (Abstract)

Four-dimensional (4D) printing is a cutting-edge technology with vast potential in the fourth industrial revolution, enabling digitally designed structures that respond dynamically to external stimuli. However, optimizing printing parameters, such as exposure time in vat photopolymerization (VP), while preserving dynamic material responsiveness, poses a significant challenge. This study integrates photo-differential scanning calorimetry (Photo-DSC) and computational modeling (CM) to optimize the printing parameters of a stearyl methacrylate (SMA)-based resin containing 2-hydroxyethyl methacrylate (HEMA) or 2-hydroxyethyl acrylate. Photo-DSC was utilized to investigate the effect of diverse parameters on photopolymerization speed, while the CM built using response surface methodology predicted curing speed based on resin composition. The model demonstrated a level of confidence exceeding 95%, and it …

ئىلمىي نەقىل ئېلىش ۋە چۈشۈرۈش (Cite)

@article{abdullah2026computat,
  title = {Computational modeling-enhanced photo-DSC for rapidly developing 4D printable body temperature-responsive self-healing and shape-memory photopolymers},
  author = {Turdimuhammad Abdullah, Elif C Kaçakgil, Recep Furkan Turan, Aleyna Turanlı, Cemil Dizman},
  journal = {Smart Materials and Structures 35 (2), 025019},
  volume = {35},
  number = {2},
  pages = {025019},
  year = {2026},
  publisher = {IOP Publishing},
  doi = {10.1088/1361-665X/ae3f69},
  url = {https://doi.org/10.1088/1361-665X/ae3f69},
}