A dynamic model for roller compaction process is derived based on Johanson’s rolling theory and material balance. Johanson’s rolling theory is used to predict the stress and density profiles during the compaction and the material balance equation describes the roll gap change. This model considers the production rate as well as the roll force, so it becomes possible to design, optimize, and control the process based on the model.

The simulator was built using Matlab. The user can vary three input variables: roll pressure, feed speed and roll speed. They can be specified as a function of time. For example, if the roll pressure is assigned as 1*step(t-3), the simulator increases the roll pressure from 1MPa to 2MPa at t = 3 min. All Matlab functions are supported for specifying the patterns of the input variables.

NSF Engineering Research Center for Structured Organic Particulate Systems

1. Johanson, J. R. (1965). A rolling theory for granular solids. Transactions of the ASME: Journal of Applied Mechanics, Series E, 32(4), 842-848.
2. Bindhumadhavan, G., Seville, J. P. K., Adams, M. J., Greenwood, R. W., and Fitzpartrick, S. (2005). Roll compaction of a pharmaceutical excipient: experimental validation of rolling theory for granular solids. Chemical Engineering Science, 60, 3891-3897.
3. Hsu, S.-H., Joglekar, G., Reklaitis, G. V., and Venkatasubramanian, V. (2007). Model Predictive Control on Roller Compaction for Pharmaceutical Manufacturing. AIChE 2007 annual meeting, Salt Lake City, UT.
4. Hsu, Shuo-Huan (2008), "Dynamic Simulation of Roller Compaction", https://pharmahub.org/resources/244.

Researchers should cite this work as follows:

• Shuo-Huan Hsu; Kamal Kuriyan (2014), "Dynamic Roller Compactor," https://pharmahub.org/resources/dynrollcompact.

  BibTex | EndNote

1. Dry granulation
2. Johanson's model
3. Process modeling
4. Roller compaction