Inverse Problems in Population Balances : Growth and Nucleation from Dynamic Data

@inproceedings{Mahoney2004InversePI,
  title={Inverse Problems in Population Balances : Growth and Nucleation from Dynamic Data},
  author={Alan W. Mahoney and Francis J. Doyle and Doraiswami Ramkrishna},
  year={2004}
}
Particulate process modeling is critical for system design and control used widely in the chemical industly. Previous methods have focused on the assumption of appropriate models that can capture system behavior. A new technique presented is based on viewing the population balance from an inverse problem perspective that allows to determine appropriate models directly from experimental data. Under suitable assumptions (deterministic growth rate, no aggregation), the population balance equation… CONTINUE READING

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