Hussaini, Zaki, Kaur, Baldeep ORCID: 0000-0002-1762-3058 , Sharma, Atul ORCID: 0000-0002-6756-4148 , Hancock, Ian and Bradley, Michael (2024) Ultrafine air-classification of plant based proteins: a step towards reducing carbon footprints. In: CHoPS 2024: 11th International Conference on Conveying and Handling of Particulate Solids, 2nd - 4th Sep., 2024, Edinburgh.

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Abstract

Air classification is vital for separating particles, with applications in industries such as food, pharmaceuticals, agriculture and many more. With the increased innovation and advancements of science, demands of smaller particle sizes, innovative and effective methods of classifications are needed. The performance of a rotor air classifier is effected by both its structural parameters which includes the design of the rotor cage, shell design, volute and much more, and operating parameters which include the classifier rotor speed, the feed rate and the air inlet velocity. With the increased demand of ultra fine classification of sub 10 micron the air classification method is within its limit of possibilities to achieve this range. Effect of change in rotor blade angle, rotor speed and feed rate are investigated. With extensive experimental work carried out and results are analysed to optimise the classification of sub 10 micron particle size.

Item Type:	Conference or Conference Paper (Paper)
Uncontrolled Keywords:	classification, efficiency, rotor cage, volute, blade angle
Subjects:	Q Science > Q Science (General) T Technology > T Technology (General) T Technology > TP Chemical technology
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG) Faculty of Engineering & Science > Wolfson Centre for Bulk Solids Handling Technology
Last Modified:	23 Oct 2024 09:14
URI:	http://gala.gre.ac.uk/id/eprint/48384

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