Department of Pharmaceutical Sciences, University of Connecticut, USA.
Department of Chemical and Biomolecular Engineering, University of Connecticut, USA; Institute of Materials Science, University of Connecticut, USA.
Int J Pharm. 2024 May 10;656:124037. doi: 10.1016/j.ijpharm.2024.124037. Epub 2024 Mar 22.
Interest in 3D printing has been growing rapidly especially in pharmaceutical industry due to its multiple advantages such as manufacturing versatility, personalization of medicine, scalability, and cost effectiveness. Inkjet based 3D printing gained special attention after FDA's approval of Spritam® manufactured by Aprecia pharmaceuticals in 2015. The precision and printing efficiency of 3D printing is strongly influenced by the dynamics of ink/binder jetting, which further depends on the ink's fluid properties. In this study, Computational Fluid Dynamics (CFD) has been utilized to study the drop formation process during inkjet-based 3D printing for piezoelectric and thermal printhead geometries using Volume of Fluid (VOF) method. To develop the CFD model commercial software ANSYS-Fluent was used. The developed CFD model was experimentally validated using drop watcher setup to record drop progression and drop velocity. During the study, water, Fujifilm model fluid, and Amitriptyline drug solutions were evaluated as the ink solutions. The drop properties such as drop volume, drop diameter, and drop velocity were examined in detail in response to change ink solution properties such as surface tension, viscosity, and density. A good agreement was observed between the experimental and simulation data for drop properties such as drop volume and drop velocity.
对 3D 打印技术的兴趣迅速增长,尤其是在制药行业,因为它具有多种优势,如制造多功能性、药物个性化、可扩展性和成本效益。2015 年,美国食品和药物管理局批准 Aprecia 制药公司生产的 Spritam®后,基于喷墨的 3D 打印技术引起了特别关注。3D 打印的精度和打印效率受到喷墨/粘结剂喷射动力学的强烈影响,而这进一步取决于墨水的流体特性。在这项研究中,使用计算流体动力学(CFD)利用体积法(VOF)研究了压电和热打印头几何形状的基于喷墨的 3D 打印过程中的液滴形成过程。为了开发 CFD 模型,使用了商业软件 ANSYS-Fluent。使用滴观测器设置对开发的 CFD 模型进行了实验验证,以记录液滴的进展和速度。在研究过程中,将水、富士胶片模型液和阿米替林药物溶液评估为墨水溶液。详细研究了液滴特性,如液滴体积、液滴直径和液滴速度,以响应墨水溶液性质(如表面张力、粘度和密度)的变化。液滴体积和液滴速度等液滴特性的实验数据与模拟数据吻合良好。