Model identification for hindered-compression settling velocity

Benedek Plosz, Javier Climent, Christopher Griffin, B Valverde-Pérez

Research output: Contribution to conferencePaper

Abstract

Two of the key questions regarding secondary settling are (a) Does a process model exist for which all hindered and compression settling velocity parameters can be estimated using experimental data?; (b) What is the minimum data that need be inferred, from a settling sensor setup to identify process models?” This international research effort aimed to address these questions by carrying out a comprehensive practical identifiability assessment of constitutive functions for hindered and compression settling velocity using laboratory-scale measurements and one-dimensional (1-D) simulation models. For model validation, the triangulation technique was used, including independent laboratory- and full-scale measurements as well as 1-D and computational fluid dynamics (CFD) simulation models.
Original languageEnglish
Publication statusPublished - 2018

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Identification (control systems)
Triangulation
Computational fluid dynamics
Sensors
Computer simulation

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Plosz, B., Climent, J., Griffin, C., & Valverde-Pérez, B. (2018). Model identification for hindered-compression settling velocity.

Model identification for hindered-compression settling velocity. / Plosz, Benedek; Climent, Javier; Griffin, Christopher; Valverde-Pérez, B.

2018.

Research output: Contribution to conferencePaper

Plosz, B, Climent, J, Griffin, C & Valverde-Pérez, B 2018, 'Model identification for hindered-compression settling velocity'.
Plosz B, Climent J, Griffin C, Valverde-Pérez B. Model identification for hindered-compression settling velocity. 2018.
Plosz, Benedek ; Climent, Javier ; Griffin, Christopher ; Valverde-Pérez, B. / Model identification for hindered-compression settling velocity.
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abstract = "Two of the key questions regarding secondary settling are (a) Does a process model exist for which all hindered and compression settling velocity parameters can be estimated using experimental data?; (b) What is the minimum data that need be inferred, from a settling sensor setup to identify process models?” This international research effort aimed to address these questions by carrying out a comprehensive practical identifiability assessment of constitutive functions for hindered and compression settling velocity using laboratory-scale measurements and one-dimensional (1-D) simulation models. For model validation, the triangulation technique was used, including independent laboratory- and full-scale measurements as well as 1-D and computational fluid dynamics (CFD) simulation models.",
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