Improving continuous powder blending performance using projection to latent structures regression

Yijie Gao, Fani Boukouvala, William Engisch, Wei Meng, Fernando J. Muzzio, Marianthi G. Ierapetritou

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

Purpose: There has been increasing interest in the last few years especially within the pharmaceutical industry towards continuous powder blending. In this paper, the effects of different design and operating parameters are investigated, which include blade speed, shaft angle, weir height, fill level, blade angle, and blade width. Method: The projection to latent structures regression is introduced to elucidate the significance of these factors on the two key indices of continuous blending performance, the local blending rate and the mean axial velocity. Results: Shaft angle and blade speed are the two most influential factors pointing to a blending improvement strategy. The proposed strategy is examined using an experimental setup for the production of pharmaceutical powder mixtures.

Original languageEnglish (US)
Pages (from-to)99-110
Number of pages12
JournalJournal of Pharmaceutical Innovation
Volume8
Issue number2
DOIs
StatePublished - Jun 1 2013

All Science Journal Classification (ASJC) codes

  • Pharmaceutical Science
  • Drug Discovery

Keywords

  • Continuous powder blending
  • DEM
  • PLS
  • Residence time
  • Variance decay

Fingerprint Dive into the research topics of 'Improving continuous powder blending performance using projection to latent structures regression'. Together they form a unique fingerprint.

Cite this