Caloian Ioana, Trapp Jocelyn, Kantepalle Bhalaji Yadav, Latimer Patrick, Lawton Timothy J, Tang Christina
Chemical and Life Science Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA.
U.S. Army Combat Capabilities Development Command Soldier Center, Natick, MA 01760, USA.
Polymers (Basel). 2025 Jun 26;17(13):1777. doi: 10.3390/polym17131777.
Electrospinning with sequential layer deposition has been reported for various applications such as tissue scaffolds, shape memory materials, and separations. However, the effect of layering on the mechanical properties is not fully understood. In this work, layered structures of thermoplastic polyurethane (TPU) and nylon were selected as a model system to investigate the effect of sequential layer deposition on mechanical properties. Evidence of the layered structure was indicated by scanning electron microscopy (SEM) and Fourier Transform Infrared spectroscopy (FTIR) experiments. Layering TPU with nylon resulted in a 60-fold increase in the Young's modulus. The Young's modulus of the layered structure was reasonably predicted by the Voigt rule of mixtures. Furthermore, the Young's modulus changes without any statistically significant change in elongation at break compared to a single layer of nylon. Thus, the elongation at break was dictated by the stiffer material, despite being present at a lower volume fraction. Overall, electrospinning with sequential layer deposition electrospinning is an effective approach for tuning the mechanical properties and surface chemistry of electrospun materials independently, which may be of interest for applications in tissue engineering and separations.
据报道,采用顺序层沉积的静电纺丝技术可用于多种应用,如组织支架、形状记忆材料和分离等。然而,分层对机械性能的影响尚未完全了解。在这项工作中,选择热塑性聚氨酯(TPU)和尼龙的层状结构作为模型系统,以研究顺序层沉积对机械性能的影响。通过扫描电子显微镜(SEM)和傅里叶变换红外光谱(FTIR)实验表明了层状结构的存在。将TPU与尼龙分层可使杨氏模量提高60倍。层状结构的杨氏模量通过Voigt混合法则得到了合理预测。此外,与单层尼龙相比,分层结构的杨氏模量发生变化,但断裂伸长率没有任何统计学上的显著变化。因此,尽管较硬材料的体积分数较低,但断裂伸长率仍由其决定。总体而言,采用顺序层沉积的静电纺丝技术是一种有效方法,可独立调节静电纺丝材料的机械性能和表面化学性质,这在组织工程和分离应用中可能具有重要意义。