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Enhanced process development using automated continuous reactors by self-optimisation algorithms and statistical empirical modelling |
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| Authors: | Mohammed I Jeraal Nicholas Holmes Geoffrey R Akien Richard A Bourne |
| Institution: | 1. Institute of Process Research and Development, School of Chemistry & School of Chemical and Process Engineering, University of Leeds, Leeds, LS2 9JT, UK;2. Department of Chemistry, Faraday Building, Lancaster University, Lancaster, LA1 4YB, UK |
| Abstract: | Reaction optimisation and understanding is fundamental for process development and is achieved using a variety of techniques. This paper explores the use of self-optimisation and experimental design as a tandem approach to reaction optimisation. A Claisen-Schmidt condensation was optimised using a branch and fit minimising algorithm, with the resulting data being used to fit a response surface model. The model was then applied to find new responses for different metrics, highlighting the most important for process development purposes. |
| Keywords: | Self-optimisation Design of experiments Clasien-schmidt condensation Reaction metrics Process development Flow chemistry |
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