The 3-D model: comparison of parameters obtained from and by simulating different tableting machines.
The aim of this study is to apply 3-D modeling to data obtained from different tableting machines and for different compression wheels on a linear rotary tableting machine replicator. A new analysis technique to interpret these data by 3-D parameter plots is presented. Tablets were produced on an instrumented eccentric tableting machine and on a linear rotary tableting machine replicator. The materials used were dicalcium phosphate dihydrate (DCPD), spray-dried lactose, microcrystalline cellulose (MCC), hydroxypropyl methylcellulose (HPMC), and theophylline monohydrate. Tableting was performed to different maximum relative densities (rho (rel, max)). Force, time, and displacement were recorded during compaction. The 3-D data plots were prepared using pressure, normalized time, and porosity according to Heckel. A twisted plane was fitted to these data according to the 3-D modeling technique. The resulting parameters were analyzed in a 3-D parameter plot. The results show that the 3-D modeling technique can be applied to compaction cycles from different tableting machines as different as eccentric and rotary tableting machines (simulated). The relation of the data to each other is the same even when the absolute values are different. This is also true for different compression wheels used on the linear rotary tableting machine replicator. By using compression wheels of different sizes on this simulator, mainly time plasticity changes. By using bigger compression wheels for simulation, the materials deform slower at lower densification and they deform faster at higher densification. For brittle materials, the stages of higher densification are influenced; for plastically deforming materials, the stages of lower and higher densification can be influenced.
Picker
Katharina M
KM
Martin-Luther-University Halle-Wittenberg, Institute of Pharmaceutical Technology and Biopharmacy, 06120 Halle/Saale, Germany. picker@pharmazie.uni-halle.de
D003198:Computer Simulation; D004339:Drug Compounding / Q000295:instrumentation / Q000706:statistics & numerical data*; D008961:Models, Structural; D010316:Particle Size; D013607:Tablets / Q000737:chemistry* / Q000378:metabolism*; D013678:Technology, Pharmaceutical / Q000295:instrumentation / Q000706:statistics & numerical data*
D013607:Tablets