Application of a Novel Reflux Classifier for Separating Nut Shell Fragments from Powdered Food Mixtures [ 2002-06-01 - 2005-06-30 ]

Research Grant

Researchers: Dr Behdad Moghtaderi (Chief Investigator) ,  Kevin Galvin (Chief Investigator) ,  Dr John Ashton (Partner Investigator)

Brief description Application of a Novel Reflux Classifier for Separating Nut Shell Fragments from Powdered Food Mixtures. An important operation in the food industry is the physical separation of valuable particles from a mixture containing waste materials, such as shell fragments. The purpose of this study is to investigate the application of a novel gas-solid fluidised bed system, utilising parallel inclined plates to radically amplify the differential segregation rates to produce separations based on particle size. Our aim is to develop a fundamental understanding of the principles governing the nature of this system. The project should result in considerable technological and economic benefits for the food industry, a well trained and educated person at the postgraduate level, and a stronger collaborative link between the University and Sanitarium.

Funding Amount $67,635

Funding Scheme Linkage Projects

View this grant in the ARC Data Portal