Literature DB >> 14698573

V-blender segregation patterns for free-flowing materials: effects of blender capacity and fill level.

Albert Alexander1, Troy Shinbrot, Barbara Johnson, Fernando J Muzzio.   

Abstract

Stable segregation patterns are shown to form in V-blenders over a wide range of vessel capacities, fill levels, and rotation rates. Slight changes in either rotation rate or fill level induce changes in pattern formation. Trajectory segregation in two regions of the flow, accumulating over many flow periods, drives segregation pattern formation. Scaling criteria derived to relate particle velocities to vessel size and rotation rate in rotating cylinders successfully predict the rotation rate for the transition between patterns across V-blenders of 0.8-26.5 quart total capacity. This agreement suggests that pattern formation is governed by the magnitude of particle velocities. Regardless of vessel size, when particle velocities at specific regions of the blender are below a certain value, one particular pattern appears, and when they increase beyond that speed (i.e. by changing the rotation rate or the vessel size), a different pattern emerges. A scaling relation between segregation pattern formation and blender fill level was not identified because the complex flow patterns in the V-blender (the length of the flowing layer and the mixture center of mass relative to the blender are constantly oscillating) preclude the determination of a relationship between blender fill level and particle velocities.

Mesh:

Substances:

Year:  2004        PMID: 14698573     DOI: 10.1016/s0378-5173(03)00296-5

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  3 in total

1.  Stuck in traffic: Patterns of powder adhesion.

Authors:  N Nirmal Thyagu; A Vasilenko; A Voyiadjis; B J Glasser; T Shinbrot
Journal:  Eur Phys J E Soft Matter       Date:  2012-10-22       Impact factor: 1.890

2.  NIR Spectroscopy as an Online PAT Tool for a Narrow Therapeutic Index Drug: Toward a Platform Approach Across Lab and Pilot Scales for Development of a Powder Blending Monitoring Method and Endpoint Determination.

Authors:  Sameer Talwar; Pallavi Pawar; Huiquan Wu; Koushik Sowrirajan; Suyang Wu; Benoît Igne; Richard Friedman; Fernando J Muzzio; James K Drennen
Journal:  AAPS J       Date:  2022-09-28       Impact factor: 3.603

3.  Scale-Up Strategy in Quality by Design Approach for Pharmaceutical Blending Process with Discrete Element Method Simulation.

Authors:  Su Bin Yeom; Du Hyung Choi
Journal:  Pharmaceutics       Date:  2019-06-06       Impact factor: 6.321

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.