基于CFD数值模型的激光诱导前向转移激光辅助生物打印工艺打印质量提升研究
Improvement of Printing Quality for Laser-induced Forward Transfer based LaserAssisted Bioprinting Process using a CFD-based numerical model
AI总结：
本研究针对基于激光诱导前向转移的激光辅助生物打印质量受射流稳定性影响的问题，首次构建CFD模型描述射流流态以指导工艺优化，有效提升了打印质量并可准确预测液滴尺寸。
摘要：
作为极具应用潜力的三维（3D）生物打印技术之一，基于激光诱导前向转移（LIFT）的激光辅助生物打印（LAB）通过形成的射流转移生物墨水，其打印高度依赖射流流态的稳定性。为明确射流与打印效果之间的关联，本研究首次构建了计算流体动力学（CFD）模型，以准确描述射流流态，为优化打印工艺规划提供指导。采用CFD模型推荐的打印参数后，通过形成稳定的射流流态与基底上规整的打印图案，打印质量得到大幅提升，且打印液滴的尺寸也可通过静平衡模型准确预测。本研究的最终目标是指导基于LIFT的LAB工艺，最终提升生物打印的质量。
英文摘要：
As one of the three-dimensional (3D) bioprinting techniques with great application potential, laser-induced-forward-transfer (LIFT) based laser assisted bioprinting (LAB) transfers the bioink through a developed jet flow, and the printing quality highly depends on the stability of jet flow regime. To understand the connection between the jet flow and printing outcomes, a Computational Fluid Dynamic (CFD) model was developed for the first time to accurately describe the jet flow regime and provide a guidance for optimal printing process planning. By adopting the printing parameters recommended by the CFD model, the printing quality was greatly improved by forming stable jet regime and organized printing patterns on the substrate, and the size of printed droplet can also be accurately predicted through a static equilibrium model. The ultimate goal of this research is to direct the LIFT-based LAB process and eventually improve the quality of bioprinting.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
