کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8514626 1556509 2017 5 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Artificial Intelligence Tools for Scaling Up of High Shear Wet Granulation Process
ترجمه فارسی عنوان
ابزار هوش مصنوعی برای بزرگ کردن فرایند گرانوله مرطوب برشی بالا
موضوعات مرتبط
علوم پزشکی و سلامت داروسازی، سم شناسی و علوم دارویی اکتشاف دارویی
چکیده انگلیسی
The results presented in this article demonstrate the potential of artificial intelligence tools for predicting the endpoint of the granulation process in high-speed mixer granulators of different scales from 25L to 600L. The combination of neurofuzzy logic and gene expression programing technologies allowed the modeling of the impeller power as a function of operation conditions and wet granule properties, establishing the critical variables that affect the response and obtaining a unique experimental polynomial equation (transparent model) of high predictability (R2 > 86.78%) for all size equipment. Gene expression programing allowed the modeling of the granulation process for granulators of similar and dissimilar geometries and can be improved by implementing additional characteristics of the process, as composition variables or operation parameters (e.g., batch size, chopper speed). The principles and the methodology proposed here can be applied to understand and control manufacturing process, using any other granulation equipment, including continuous granulation processes.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Pharmaceutical Sciences - Volume 106, Issue 1, January 2017, Pages 273-277
نویسندگان
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