Model-Based Optimization of Ripening Processes with Feedback Modules

Spinola M, Keimer A, Segets D, Leugering G, Pflug L (2020)

Publication Type: Journal article

Publication year: 2020

Journal

Chemical Engineering & Technology Wiley

Book Volume: 43

Pages Range: 896-903

Journal Issue: 5

DOI: 10.1002/ceat.201900515

Open Access Link: https://onlinelibrary.wiley.com/doi/epdf/10.1002/ceat.201900515

Abstract

In order to obtain high-quality particulate products with tailored properties, process conditions and their evolution in time must be chosen appropriately. Although the efficiency of these products depends on their dispersity in several dimensions, in established processes the particle size is usually the decisive variable to adjust. As part of the synthesis of these products, feedback modules are often incorporated so that a time-dependent ratio of the obtained product can flow back into the system. Moreover, the synthesis should be an energy- and resource-efficient process. To provide a means of ensuring this requirement, a model- and gradient-based, numerically efficient optimization tool for particle synthesis is presented which was developed to describe population balance equations incorporating feedback terms.

Authors with CRIS profile

Michele Spinola
Günter Leugering Lehrstuhl für Angewandte Mathematik Lukas Pflug Zentralinstitut für Scientific Computing (ZISC)

Additional Organisation(s)

Lehrstuhl für Dynamics, Control, Machine Learning and Numerics (Alexander von Humboldt-Professur)

Related research project(s)

Unifying mathematical framework for synthesis and chromatographic separation of nanoparticles (SFB 1411 - D03) Design of particulate products (SFB 1411) Jan. 1, 2020 - Dec. 31, 2023 Tailored hierarchical semiconductors (SFB 1411 - A02) Design of particulate products (SFB 1411) Jan. 1, 2020 - Dec. 31, 2023

Involved external institutions

University of California, Berkeley US United States (USA) (US) Universität Duisburg-Essen (UDE) DE Germany (DE)

How to cite

APA:

Spinola, M., Keimer, A., Segets, D., Leugering, G., & Pflug, L. (2020). Model-Based Optimization of Ripening Processes with Feedback Modules. Chemical Engineering & Technology, 43(5), 896-903. https://dx.doi.org/10.1002/ceat.201900515

MLA:

Spinola, Michele, et al. "Model-Based Optimization of Ripening Processes with Feedback Modules." Chemical Engineering & Technology 43.5 (2020): 896-903.

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