Development of feed factor prediction models for loss-in-weight powder feeders.

Perceptive Engineering is pleased to share the link to Elsevier ScienceDirect® to access the peer-reviewed paper ‘Development of feed factor prediction models for loss-in-weight powder feeders’, published in Powder Technology, an International Journal on the Science and Technology of Wet and Dry Particulate Systems.

In this paper, material-specific as well as generic data-driven models are developed for pharmaceutical powders fed through a loss-in-weight (LiW) feeder. These models can be applied to a broad range of powder materials and feeder configurations to accurately predict the feed factor profile. This helps to speed up the process development and characterisation whilst minimising the powder consumption and experimental effort. Furthermore, the proposed models can also be used to study the impact of feeder configuration changes, such as screw types and gearbox ratios, on the feed factor profile.