(219f) Predictive Model of Powder Compaction Using Finite Element Analysis
AIChE Annual Meeting
2024
2024 AIChE Annual Meeting
Pharmaceutical Discovery, Development and Manufacturing Forum
Computational solid state pharmaceutics
Monday, October 28, 2024 - 5:15pm to 5:36pm
In this work a workflow was created to de-risk and better understand the behavior of Powder compaction, using the Finite Element Analysis (FEA) by using the density-dependent Drucker-Prager Cap (DPC) model using ANSYS Mechanical. This paper presents a full description of the DPC model for the compaction behavior of microcrystalline cellulose (MCC). In this paper, Finite Element Modelling (FEM) and Design of Experiment (DoE) techniques are adopted to find the impact on optimal shape which has more uniform mechanical properties and less capping and chipping tendency. Response Surface Methodology (RSM) was employed to establish the relationship between the design variables, represented by the geometrical parameters and the friction coefficient, and compaction responses of interest including residual die pressure, the variation of relative density within the tablet, and the relative shear stress of the edge of the tablet.
The results showed that the finite element model will be able to accurately predict the compaction behavior of the MCC powder. Furthermore, the FE predictions of stress and density distributions of the powders during the compaction were used to analyze the failure mechanisms associated with tableting.