Numerical model of jet formation during melt electrowriting for fabrication of precise structures

IF 10.3 1区 工程技术 Q1 ENGINEERING, MANUFACTURING Additive manufacturing Pub Date : 2024-09-25 DOI:10.1016/j.addma.2024.104569
Xiaodan Huo , Huinan Lai , Qian Wu , Qingru Huang , Ying Han , Kaiwen Li , Jun Yin , Xiaona Lin
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Abstract

Melt electrowriting (MEW) is an innovative technique for fabricating 3D porous materials or scaffolds with microscale architectures. However, the multitude of printing parameters makes precise control over the placement of microscale polymer fibers challenging. This study presents a new strategy for creating complex 3D structures using multiparametric MEW technology, which enhances printing accuracy with minimal human intervention. We developed and validated a numerical model to simulate jet formation and predict the critical translational speed (CTS). This model can precisely identify the effects of numerous printing parameters and improve printing efficiency and accuracy while reducing costs, thus facilitating precise MEW deposition. Using this approach, we manufactured soft, stretchable constructs with a high surface area optimized through fine-tuned printing parameters. This straightforward and efficient technology enables the design of high-sensitivity strain sensors for monitoring human motion and stretchable devices for circuit protection. Furthermore, we examined the effect of printing accuracy and fiber orientation on cellular organization. Immunochemical staining demonstrated that aligned and high-precision scaffolds promote oriented growth. Additionally, the curved MEW structures open new avenues for exploring the combined effects of topographical cues and mechanical stimulation on nerve cell behaviors. This printing strategy provides valuable insights for future research on complex patterns using MEW for flexible electronics and tissue engineering.
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用于制造精密结构的熔体电泳过程中喷流形成的数值模型
熔融电泳(MEW)是一种创新技术,可用于制造具有微观结构的三维多孔材料或支架。然而,由于打印参数繁多,因此精确控制微尺度聚合物纤维的放置具有挑战性。本研究提出了一种利用多参数 MEW 技术制造复杂三维结构的新策略,该技术可在尽量减少人工干预的情况下提高打印精度。我们开发并验证了一个数值模型,用于模拟喷射形成并预测临界平移速度(CTS)。该模型可精确识别众多印刷参数的影响,提高印刷效率和精度,同时降低成本,从而促进 MEW 的精确沉积。利用这种方法,我们制造出了柔软、可拉伸的构造物,并通过微调印刷参数优化了其高表面积。这种简单高效的技术有助于设计用于监测人体运动的高灵敏度应变传感器和用于电路保护的可拉伸设备。此外,我们还研究了打印精度和纤维取向对细胞组织的影响。免疫化学染色表明,排列整齐的高精度支架可促进细胞定向生长。此外,弯曲的 MEW 结构为探索地形线索和机械刺激对神经细胞行为的综合影响开辟了新途径。这种打印策略为未来利用 MEW 将复杂图案用于柔性电子和组织工程的研究提供了宝贵的见解。
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来源期刊
Additive manufacturing
Additive manufacturing Materials Science-General Materials Science
CiteScore
19.80
自引率
12.70%
发文量
648
审稿时长
35 days
期刊介绍: Additive Manufacturing stands as a peer-reviewed journal dedicated to delivering high-quality research papers and reviews in the field of additive manufacturing, serving both academia and industry leaders. The journal's objective is to recognize the innovative essence of additive manufacturing and its diverse applications, providing a comprehensive overview of current developments and future prospects. The transformative potential of additive manufacturing technologies in product design and manufacturing is poised to disrupt traditional approaches. In response to this paradigm shift, a distinctive and comprehensive publication outlet was essential. Additive Manufacturing fulfills this need, offering a platform for engineers, materials scientists, and practitioners across academia and various industries to document and share innovations in these evolving technologies.
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