Citation
Predictive Jet Mill Modeling

Material Information

Title:
Predictive Jet Mill Modeling
Creator:
Ben-Chanoch, Amit
Publication Date:
Language:
English

Subjects

Subjects / Keywords:
Bicarbonates ( jstor )
Composite particles ( jstor )
Experimental results ( jstor )
Grinding ( jstor )
Material properties ( jstor )
Modeling ( jstor )
Parametric models ( jstor )
Powder mills ( jstor )
Predictive modeling ( jstor )
Sodium ( jstor )
Jet mills
Sodium bicarbonate
Genre:
Undergraduate Honors Thesis

Notes

Abstract:
The objective of this research is to develop a model that predicts milling in a spiral jet mill without the use of large amounts of expensive, raw materials. This is done using cheaper alternatives such as sodium bicarbonate and lactose monohydrate to model the mills behavior, while using small amounts of the more expensive powders of interest to obtain material properties. These material properties are then incorporated into the predictive model saving considerable time and cost. The first stage of this model has been completed as the breakage of sodium bicarbonate and lactose monohydrate can be predicted using this model. The material properties, however, have not been incorporated in this model and are currently being researched. ( en )
General Note:
Awarded Bachelor of Science in Chemical Engineering; Graduated May 3, 2011 magna cum laude. Major: Chemical Engineering
General Note:
Advisor(s): Spyros Svoronos
General Note:
College/School: College of Engineering

Record Information

Source Institution:
University of Florida
Rights Management:
Copyright Amit Ben-Chanoch. Permission granted to the University of Florida to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.

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