Roller Compaction and Process Scale Up

Roller Compaction and Process Scale Up2019-10-02T17:18:16-04:00

Project Description

Most products are first produced at small scale, such as lab or pilot scale. Subsequently scaling up to full scale production can be time consuming, frustrating and costly.
An effective alternative is to apply numerical optimization on multivariate models that span both scales.

This provides an efficient and systematic method to determine the optimal operating conditions at full-scale.

Project Details

Client:Eli Lilly

The Challenge

scaleup_coverimage2

A Fortune 500 pharmaceutical company wanted to investigate the ProSensus approach to scale-up a lab-scale roller compactor/granulator to full-scale.

By contrast, the traditional approach would involve the use of similarity scaling factors followed by some degree of trial and error to search for suitable operating conditions at full-scale.

The Results

The scaled-up operating conditions were calculated in one step using the ProSensus approach. Unfortunately, time and budgetary constraints did not allow the calculated solution to be run. However, the recommended conditions were a close match to actual operating conditions of a very similar full-scale roller compactor running similar product, which served to verify the metholodology.

The ProSensus Approach

The ProSensus method for scale-up involves a joint multivariate model to predict the effect of operating conditions at both scales, even if the set of measured variables at each scale is different. Numerical optimization is then applied to this model to translate the known operating conditions at one scale to the equivalent conditions at the other scale that will produce product with the same quality characteristics.

In this particular example, a roller compactor is used to convert the pharmaceutical powder blend to granulates that are then stamped into tablets downstream in a tablet press. Powder is fed through a roller and exits as a ribbon that is milled into granules, as shown in the diagram below. The data available is also shown.

Roller Compaction Scale Up

The multivariate model structure is a joint-Y-PLS (JYPLS) model. Only the final product properties (Y variables) have to be the same between the lab- and full-scale process. Although the measured process variables may be similar at both scales, they may not be exactly equivalent due to differences in sensor location and scale effects.

As a result, the process conditions (Xa and Xb) are treated separately in the JYPLS formulation. The schematic of a scale-up problem is shown below, as well as the results of one of the two predicted ribbon variables. The joint model is able to predict the quality well for both machines.

Using this model, optimization methods are employed to determine the operating conditions of the scaled-up compaction process that will result in the desired ribbon properties.

Scale-up of a Pharmaceutical Roller Compaction Process

As mentioned earlier, the calculated operating conditions closely matched the known operating conditions for a very similar machine running very similar product. This demonstrated that the ProSensus method was effective in calculating appropriate operating conditions for full-scale in one step.

References

  1. Z. Liu, M.J. Bruwer,J.F. MacGregor,S.S.S Rathore, D.E. Reed, M.J. Champagne, “Scale-up of a Pharmaceutical Roller Compaction Process Using a Joint-Y Partial Least Squares Model”,Ind. Eng. Chem. Res,50,10696-10706,2011

 

Case Studies
Multi-Camera Machine Vision for Food Safety
Several of ProSensus' recent custom machine vision installations in the foods industry have included both color and thermal cameras. The digital images obtained from this combination of cameras provide numerous measurements that can be used to accomplish a variety of goals.
Rapid Product Development of Bioplastics
Since 2004, ProSensus has been providing multivariate analysis (MVA) consulting for a variety of applications, including rapid product development. Our clients get ahead of the competition by arriving at product development targets faster.
Troubleshooting an Industrial Batch Process
Batch processes play key roles in many industries including pharmaceutical, polymer, specialty chemicals and food. Multivariate methods are an effective way to troubleshoot their costly operating issues. ProSensus helps users effectively troubleshoot batch data.