| Autor: |
Lagare RB; Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, USA., da Conceicao MA; Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, USA., Camille Acevedo Rosario A; Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, USA., Leigh Young K; Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, USA., Huang YS; Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, USA., Sheriff MZ; Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, USA., Clementson C; Purdue Center for Particulate Products and Processes, West Lafayette, IN 47907, USA., Mort P; School of Materials Engineering, Purdue University, West Lafayette, IN 47907, USA., Nagy Z; Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, USA., Reklaitis GV; Davidson School of Chemical Engineering, Purdue University, West Lafayette, IN 47907, USA.; Purdue Center for Particulate Products and Processes, West Lafayette, IN 47907, USA. |
| Abstrakt: |
We report progress of an ongoing work to develop a virtual sensor for flowability, which is a critical tool for enabling real time process monitoring in a granulation line. The sensor is based on camera imaging to measure the size and shape distribution of granules produced by wet granulation. Then, statistical methods were used to correlate them with flowability measurements such as ring shear tests, drained angle of repose, dynamic angle of repose, and tapped density. The virtual sensor addresses the issue with these flowability measurements, which are based on off-line characterization methods that can take hours to perform. With a virtual sensor based on real-time measurement methods, the prediction of granule flowability become faster, allowing for timely decisions regarding process control and the supply chain. |
