Particle-level residence time data in a twin-screw feeder

A full discharge process of a twin-screw feeder has been simulated with DEM (discrete element method). The result files are available at the Mendeley Data repository (https://doi.org/10.17632/d76rzzd8r7.1) and contain the following particle data: x,y,z coordinates of the initial position inside the...

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Detalles Bibliográficos
Autores principales: Toson, Peter, Khinast, Johannes G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Chemical Engineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838427/
https://www.ncbi.nlm.nih.gov/pubmed/31720327
http://dx.doi.org/10.1016/j.dib.2019.104672
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author Toson, Peter
Khinast, Johannes G.
author_facet Toson, Peter
Khinast, Johannes G.
author_sort Toson, Peter
collection PubMed
description A full discharge process of a twin-screw feeder has been simulated with DEM (discrete element method). The result files are available at the Mendeley Data repository (https://doi.org/10.17632/d76rzzd8r7.1) and contain the following particle data: x,y,z coordinates of the initial position inside the feeder, particle radius, and the discharge time of each particle are available at three different initial feeder fill levels. With this data it is possible to generate residence time distributions (RTDs) of arbitrary spatial regions in the feeder to analyze the material flow inside the feeder, optimize refill strategies, and ultimately improve batch definition in continuous manufacturing. Example RTDs and evaluation scripts are available in the repository.
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spelling pubmed-68384272019-11-12 Particle-level residence time data in a twin-screw feeder Toson, Peter Khinast, Johannes G. Data Brief Chemical Engineering A full discharge process of a twin-screw feeder has been simulated with DEM (discrete element method). The result files are available at the Mendeley Data repository (https://doi.org/10.17632/d76rzzd8r7.1) and contain the following particle data: x,y,z coordinates of the initial position inside the feeder, particle radius, and the discharge time of each particle are available at three different initial feeder fill levels. With this data it is possible to generate residence time distributions (RTDs) of arbitrary spatial regions in the feeder to analyze the material flow inside the feeder, optimize refill strategies, and ultimately improve batch definition in continuous manufacturing. Example RTDs and evaluation scripts are available in the repository. Elsevier 2019-10-18 /pmc/articles/PMC6838427/ /pubmed/31720327 http://dx.doi.org/10.1016/j.dib.2019.104672 Text en © 2019 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Chemical Engineering
Toson, Peter
Khinast, Johannes G.
Particle-level residence time data in a twin-screw feeder
title Particle-level residence time data in a twin-screw feeder
title_full Particle-level residence time data in a twin-screw feeder
title_fullStr Particle-level residence time data in a twin-screw feeder
title_full_unstemmed Particle-level residence time data in a twin-screw feeder
title_short Particle-level residence time data in a twin-screw feeder
title_sort particle-level residence time data in a twin-screw feeder
topic Chemical Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838427/
https://www.ncbi.nlm.nih.gov/pubmed/31720327
http://dx.doi.org/10.1016/j.dib.2019.104672
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AT khinastjohannesg particlelevelresidencetimedatainatwinscrewfeeder

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