Scott Allen, Sr Systems Engineer, JMP
Jerry Fish, Sr Systems Engineer, JMP
Many industries (particularly pharmaceuticals) use milling processes to reduce the particle size of key raw materials. The aim of the milling process is to reduce the average particle size and achieve a targeted particle size distribution (PSD). While there are many types of milling techniques, the key performance indicators (KPIs) are typically mill time, PSD, average particle size, and other industry-specific targets.
Bringing a milling process from lab scale to manufacturing scale can present many challenges. Process factors, such as heat transfer, mass transfer, milling times, and additive amounts, can all substantially differ from the small-scale process. Thus, a thorough understanding of the milling process is required to maximize a successful scale-up.
This talk begins with a description of typical challenges seen in milling scale-up operations. We follow this with an analysis of a sample data set that demonstrates how JMP can be used to quickly and efficiently resolve these problems. We use data visualization, definitive screening designs, augmented DOEs and functional data exploration to help with the scale-up process.
