Comparison and Discussion of Experimental Strategies to Improve Parameter Identification of a Drying Model
| Autor: | Daniel Goujot, Francis Courtois |
|---|---|
| Přispěvatelé: | Ingénierie, Procédés, Aliments (GENIAL), Institut National de la Recherche Agronomique (INRA)-AgroParisTech |
| Rok vydání: | 2015 |
| Předmět: |
Engineering
Generalization [SDV]Life Sciences [q-bio] General Chemical Engineering Optimal design of experiments Model parameters 02 engineering and technology physical properties grain drying 0404 agricultural biotechnology 020401 chemical engineering Return on investment 0204 chemical engineering Physical and Theoretical Chemistry Simulation heat and mass transfer 2. Zero hunger business.industry mathematical modeling 04 agricultural and veterinary sciences Investment (macroeconomics) 040401 food science Experimental strategy Identification (information) Biochemical engineering Grain drying business |
| Zdroj: | Drying Technology Drying Technology, Taylor & Francis, 2015, 33 (8), pp.896-906. ⟨10.1080/07373937.2014.997880⟩ |
| ISSN: | 1532-2300 0737-3937 |
| DOI: | 10.1080/07373937.2014.997880 |
| Popis: | Owner: francisAdded to JabRef: 2014.12.10; The identification of model parameters for food processes is both an experimental and numerical challenge. The optimal design of experiments aims to enhance the experimental strategy necessary to achieve the best identification results. Here, we discuss the trade-offs between improvements of pilot, experimental efforts, computational efforts, and the precision of the parameters identified. To identify four parameters related to heat and mass transfer for a cereal drying model, it was found that the best return on investment was to implement high speed and precise in-line measurements. This investment enabled an estimated precision better than 20% on parameter estimates based on only two experiments. We also discuss the generalization of this method to other domains. |
| Databáze: | OpenAIRE |
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