Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ 08854, USA.
Department of Chemical and Biochemical Engineering, Rutgers University, Piscataway, NJ 08854, USA.
Int J Pharm. 2020 Jul 30;585:119427. doi: 10.1016/j.ijpharm.2020.119427. Epub 2020 May 28.
Research emphases on extensive experimental studies and modeling efforts have been on the rise for the development of accurate predictive models of pharmaceutical unit operations and 'digital-twin' framework for continuous manufacturing lines. These exhaustive studies have been conducted at different process conditions to acquire comprehensive knowledge of effects of process parameters on the overall process dynamics. However, there still lacks a detailed understanding of material property effects of pharmaceutical powders on process operation. To address this issue, a discrete element modeling (DEM) approach combined with material calibration is applied for simulation of feeder unit to obtain particle-level insight into effects of material properties on feeder performance with focus on particle flow and powder mixing within the feeder unit. Bulk calibration is implemented to accurately represent powder material properties within the DEM framework. Different refill situations are simulated using DEM to observe powder mixing, measured at the outlet. Feeder DEM simulations are further applied to understand correlations of material properties on feeder operation. These studies provide a detailed physical insight and particle-scale information into the powder mechanics during powder feeding operation.
研究重点已经转向广泛的实验研究和建模工作，以开发药物单元操作的精确预测模型和连续制造线的“数字孪生”框架。这些详尽的研究是在不同的工艺条件下进行的，以获得对工艺参数对整个工艺动力学影响的全面了解。然而，对于药物粉末对工艺操作的材料性能影响，仍然缺乏详细的了解。为了解决这个问题，应用离散元建模 (DEM) 方法结合材料校准来模拟给料器单元，以获得颗粒级别的对给料器性能的材料性能影响的深入了解，重点是给料器单元内的颗粒流动和粉末混合。采用批量校准来准确地在 DEM 框架内表示粉末材料性能。使用 DEM 模拟不同的填充情况，以观察在出口处测量的粉末混合情况。进一步应用给料器 DEM 模拟来理解材料性能对给料器操作的相关性。这些研究为粉末给料操作期间的粉末力学提供了详细的物理见解和颗粒级信息。
