4.5 Article Proceedings Paper

Prediction of final product properties after cocurrent spray drying

期刊

DRYING TECHNOLOGY
卷 23, 期 8, 页码 1653-1665

出版社

TAYLOR & FRANCIS INC
DOI: 10.1081/DRT-200065075

关键词

powder; principal component analysis; neural network; density; particle diameter

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The effect of drying and atomization conditions on the physical properties of powders for agglomerate-like materials and skin-forming material are studied in this article. A neural model is used for powder bulk and tapped density predictions.

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