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Residence time modeling of hot melt extrusion processes
Affiliation:1. Institute of Pharmaceutics and Biopharmaceutics, Heinrich-Heine-University, Düsseldorf, Germany;2. Institute of Mathematics, Martin Luther University, Halle (Saale), Germany;3. School of Materials Engineering, Purdue University, West Lafayette, IN, USA;1. Laboratory of Pharmaceutical Process Analytical Technology, Department of Pharmaceutical Analysis, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium;2. Laboratory of Pharmaceutical Technology, Department of Pharmaceutics, Faculty of Pharmaceutical Sciences, Ghent University, Ottergemsesteenweg 460, 9000 Ghent, Belgium;1. Department of Organic Chemistry and Technology, Budapest University of Technology and Economics, 1111 Budapest, Budafoki út 8, Hungary;2. Department of Inorganic and Analytical Chemistry, Budapest University of Technology and Economics, 1111 Budapest, Szt. Gellért tér 4, Hungary;1. Molecular Pharmaceutics and Drug Delivery, College of Pharmacy, The University of Texas at Austin, 2409 University Avenue, 78712 Austin, TX, USA;2. Small Molecule Design and Development, Lilly Research Laboratories, Eli Lilly and Company, 46221 Indianapolis, IN, USA;3. Merck Research Laboratories, Merck & Co., Inc., 126 E. Lincoln Ave, Rahway, NJ 07065, USA;1. BIOMATH, Dept. of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Gent, Belgium;2. Laboratory of Pharmaceutical Process Analytical Technology, Dept. of Pharmaceutical Analysis, Ghent University, Ghent, Belgium;3. Laboratory of Pharmaceutical Technology, Dept. of Pharmaceutics, Ghent University, Ghent, Belgium;4. CAPEC-PROCESS, Chemical and Biochemical Engineering, Technical University of Denmark, Kongens Lyngby, Denmark;5. VTT Technical Research Centre of Finland, Optical Measurement Technologies, Kuopio, Finland;1. Laboratory of Pharmaceutical Technology, Ghent University, Ghent, Belgium;2. Laboratory of Pharmaceutical Process Analytical Technology, Ghent University, Ghent, Belgium;3. Department of Electronics and Information Systems (ELIS), Ghent University, Ghent, Belgium;1. Drug Product Development, AbbVie Deutschland GmbH & Co. KG, Ludwigshafen, Germany;2. Department of Pharmaceutical Technology and Biopharmaceutics, University of Bonn, Bonn, Germany
Abstract:The hot melt extrusion process is a widespread technique to mix viscous melts. The residence time of material in the process frequently determines the product properties. An experimental setup and a corresponding mathematical model were developed to evaluate residence time and residence time distribution in twin screw extrusion processes.The extrusion process was modeled as the convolution of a mass transport process described by a Gaussian probability function, and a mixing process represented by an exponential function. The residence time of the extrusion process was determined by introducing a tracer at the extruder inlet and measuring the tracer concentration at the die. These concentrations were fitted to the residence time model, and an adequate correlation was found. Different parameters were derived to characterize the extrusion process including the dead time, the apparent mixing volume, and a transport related axial mixing. A 23 design of experiments was performed to evaluate the effect of powder feed rate, screw speed, and melt viscosity of the material on the residence time. All three parameters affect the residence time of material in the extruder.In conclusion, a residence time model was developed to interpret experimental data and to get insights into the hot melt extrusion process.
Keywords:Mathematical model  Residence time distribution  Hot melt extrusion  Twin screw extruder
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