BIOMATH, Model-based analysis and optimisation of (bio)processes
Department of Mathematical Modelling, Statistics and Bioinformatics

Coupure Links 653
B-9000 Gent (Belgium)
Tel.: +32-9-264.59.37
Fax: +32-9-264.62.20

Education: Process engineer

Obtained degree of Doctor in Applied Biological Sciences in 2015

Development of predictive knowledge platform on tabletability for solid dosage manufacturing (PreTAP)

Objectives

• Understanding the impact of changes in the formulation design space/powder characteristics/process conditions on the Finite element analysis (FEA) prediction of compaction.
• Primary feasibility study to evaluate the application of discrete element method (DEM) approach for powder compaction simulation.

Background

• The most common drug product dosage form is tablet (over 90% of the drug product).
• Development of robust tableting process in a timely manner is still challenging due to lacking fundamental understanding of the process.
• Application of sophisticated process simulation tools can improve mechanistic understanding of the tableting process.

                            
                              Continuous tableting                                             Compaction Simulator

Methodology

• Obtain the necessary inputs for FEA based on DPC model (Young Modulus, Poisson ratio, cohesion (d), friction angle (β), cap eccentricity (R)) using compaction simulator.

• Carry out FEA simulation for different formulations and punch shape.
• Develop a statistical/mathematical method to quantify goodness of FEA prediction (based on comparing the FEA result and X-Ray CT scan in terms of relative density).