Mechanical & Automotive Engineering, School of Engineering, RMIT University, Bundoora, Australia.
Sydney Medical School, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
PLoS One. 2020 Aug 5;15(8):e0236063. doi: 10.1371/journal.pone.0236063. eCollection 2020.
The primary objective of this research was to extract the essential information needed for setting atomization break up models, specifically, the Linear Instability Sheet Atomization (LISA) breakup model, and alternative hollow cone models. A secondary objective was to gain visualization and insight into the atomization break up mechanism caused by the effects of viscosity and surface tension on primary break-up, sheet disintegration, ligament and droplet formation. High speed imaging was used to capture the near-nozzle characteristics for water and drug formulations. This demonstrated more rapid atomization for lower viscosities. Image processing was used to analyze the near-nozzle spray characteristics during the primary break-up of the liquid sheet into ligament formation. Edges of the liquid sheet, spray break-up length, break-up radius, cone angle and dispersion angle were obtained. Spray characteristics pertinent for primary breakup modelling were determined from high speed imaging of multiple spray actuations. The results have established input data for computational modelling involving parametrical analysis of nasal drug delivery.
本研究的主要目的是提取设置雾化破碎模型所需的基本信息，特别是线性不稳定性片状雾化（LISA）破碎模型和替代的中空锥形模型。次要目的是获得可视化和深入了解由粘度和表面张力对主要破碎、片状分解、韧带和液滴形成的影响引起的雾化破碎机制。高速摄像用于捕获水和药物制剂在喷嘴附近的特性。这表明较低的粘度会导致更快的雾化。图像处理用于分析液体在进入韧带形成之前在喷嘴附近的喷雾特性。获得了液体片的边缘、喷雾破碎长度、破碎半径、锥角和分散角。通过对多个喷雾激励的高速成像，确定了与主要破碎建模相关的喷雾特性。研究结果为涉及鼻内药物输送的参数分析的计算建模提供了输入数据。
