Abstract
This study evaluated the shape memory and tensile property of 3D-printed sinusoidal sample/nylon composite for various thickness and cycles. Sinusoidal pattern of five thicknesses: 0.2 mm, 0.4 mm, 0.6 mm, 0.8 mm, and 1.0 mm were 3D-printed on nylon fabric by the fused deposition modeling (FDM) 3D printer using shape memory thermoplastic polyurethane (SMTPU). Afterward, shape memory and tensile property was investigated up to 50 shape memory cycles. The study found that 3D-printed sinusoidal sample/nylon composite had a 100% shape recovery ratio for various thicknesses up to 50 cycles. The average shape recovery rate gradually decreased from 3.0°/s to 0.7°/s whereas the response time gradually increased with the increase of a 3D-printed pattern thickness. The stress and initial modulus gradually increased with the increase of the cycle’s number. Thus, the shape memory property had a similar tendency for various cycles whereas the tensile property gradually increased with the increase of the cycle number. Moreover, this study demonstrated that this 3D-printed sinusoidal sample/nylon composite can go through more than 50 cycles without losing its tensile or shape memory property. This 3D-printed sinusoidal sample/nylon composite has vast potential as smart, reinforced, and protective clothing that requires complex three-dimensional shapes.
Highlights
The shape memory polymer (SMP) belong to a class of very smart materials, which have the ability to remember and recover their original shape when an appropriate stimulus such as temperature, humidity, pH, light, magnetic field, and electric field is applied
Table shows the surface of a03D-printed sinusoidal sample/nylon composite
The result showed that all samples of 3D-printed sinusoidal sample/nylon composite with various thicknesses were recovered to the permanent shape but at different recovery speeds
Summary
The shape memory polymer (SMP) belong to a class of very smart materials, which have the ability to remember and recover their original shape when an appropriate stimulus such as temperature, humidity, pH, light, magnetic field, and electric field is applied. Our latest research shed light on the fine structural and mechanical changes that take place at original, temporary, and recovery shape of a 3D-printed auxetic pattern of shape memory thermoplastic polyurethane (SMTPU) filament [23]. This research, as a continuation of our previous work and due to the necessity of evaluating the shape memory property for numerous cycles, aimed to study the shape memory property and tensile property of a 3D-printed sinusoidal sample/nylon composite with various thicknesses up to 50 shape memory cycles. This 3D-printed sinusoidal sample/nylon composite can be applied in fashion and the textile industry as a smart textile or smart garment that can change its shape.
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