UV cross-linkable hybrid resins for additive manufacturing to achieve high performance and body-temperature programmable shape memory effect

Since the introduction of 4D printing in 2012, shape memory hybrids (SMHs) have emerged as a versatile solution for tailoring thermomechanical properties. This study developed UV cross-linkable hybrid resins for additive manufacturing (AM) with high performance and body-temperature programmable shape memory effect (SME). These resins combine polycaprolactone (PCL) as the transition component with a commercial elastic UV cross-linkable resin. The thermomechanical properties and shape memory performance were evaluated using differential scanning calorimeter, Shore hardness, and tensile tests. The SMHs exhibited tuneable properties and excellent SMEs, with shape fixing and recovery ratios exceeding 97.5% for 40% PCL (PCL-40). Increased PCL content improved Shore hardness at room temperature while enabling softness near body temperature for easy programming. Feasibility for AM was demonstrated using extrusion-based and volumetric additive manufacturing techniques. Proof-of-concept experiments showed successful 2D-to-3D shape transitions programmed at body temperature with full recovery upon reheating. These findings highlight the potential of UV cross-linkable SMHs for applications in wearable devices, medical tools, and other technologies requiring body-temperature shape adaptation.

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Publication Details

Journal
Virtual and Physical Prototyping
Published
2025-04-07
DOI
https://doi.org/10.1080/17452759.2025.2487287
Citations
4
Primary Topic
Polymer composites and self-healing
Type
article
Field-Weighted Citation Impact
2.43

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article

UV cross-linkable hybrid resins for additive manufacturing to achieve high performance and body-temperature programmable shape memory effect

Mohamed Sultan Mohamed Ali, Chao Yin, Tao Xi Wang, Bin Li et al.
4 citations
Virtual and Physical Prototyping
Polymer composites and self-healing
2.43
article

UV cross-linkable hybrid resins for additive manufacturing to achieve high performance and body-temperature programmable shape memory effect

Mohamed Sultan Mohamed Ali, Chao Yin, Tao Xi Wang, Bin Li, Zhen Ding, Jie Hong, Xing Shen, Wei Min Huang, Hong Mei Chen, Xin Yin Ang
article en
4 citations

Abstract

Since the introduction of 4D printing in 2012, shape memory hybrids (SMHs) have emerged as a versatile solution for tailoring thermomechanical properties. This study developed UV cross-linkable hybrid resins for additive manufacturing (AM) with high performance and body-temperature programmable shape memory effect (SME). These resins combine polycaprolactone (PCL) as the transition component with a commercial elastic UV cross-linkable resin. The thermomechanical properties and shape memory performance were evaluated using differential scanning calorimeter, Shore hardness, and tensile tests. The SMHs exhibited tuneable properties and excellent SMEs, with shape fixing and recovery ratios exceeding 97.5% for 40% PCL (PCL-40). Increased PCL content improved Shore hardness at room temperature while enabling softness near body temperature for easy programming. Feasibility for AM was demonstrated using extrusion-based and volumetric additive manufacturing techniques. Proof-of-concept experiments showed successful 2D-to-3D shape transitions programmed at body temperature with full recovery upon reheating. These findings highlight the potential of UV cross-linkable SMHs for applications in wearable devices, medical tools, and other technologies requiring body-temperature shape adaptation.

Virtual and Physical PrototypingVol. 20(1)
Sun Yat-sen University (CN), Nanyang Technological University (SG), Chinese Academy of Sciences (CN), SYSU-CMU International Joint Research Institute (CN), Qatar University (QA), Sichuan Normal University (CN), Nanjing University of Aeronautics and Astronautics (CN)
Chinese Aeronautical Establishment, Qatar National Library, Basic and Applied Basic Research Foundation of Guangdong Province
Affordable and clean energy
Openalex Percentile: Top 12%
Polymer composites and self-healing
2.43
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