A framework for model reliability and estimability analysis of crystallization processes with multi-impurity multi-dimensional population balance models

The development of reliable mathematical models for crystallization processes may be very challenging due the complexity of the underlying phenomena, the inherent Population Balance Models (PBMs) and the large number of parameters that need to be identified from experimental data. Due to the poor in...

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Bibliographic Details

Main Authors:	Dimitris Fysikopoulos, Brahim Benyahia, Akos Borsos, Zoltan Nagy, Chris Rielly
Format:	Default Article
Published:	2018
Subjects:	Chemical engineering not elsewhere classified Mechanical engineering not elsewhere classified Parameter estimability Variance-based sensitivity analysis Sequential Orthogonalization Multi-dimensional population balance modelling Parameter estimation Crystal growth modifiers Mechanical Engineering Chemical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/34792
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