2023 AIChE Annual Meeting
(194b) De-Risking and Scale-up of Mixing Baffles for Batch Corn Seed Production
Authors
In this presentation, we describe a new commercial-scale baffle design based on pilot-scale prototyping and calibrated DEM model development to de-risk the scaleup. In-silico design testing is performed using DEM to identify the best design possible that retains mixing performance while managing baffle surface area and enhancing the projected self-cleaning performance of the mixing process. The new baffle design streamlines the cleaning process and enables additional self-cleaning capabilities while retaining strong mixing performance for corn seeds. Statistical estimators of the active ingredient distribution are taken as the measure of mixing performance, while assessments of the chemical residue âbuild-upâ are based on cleaning time and gravimetric residue retention.