Predictive models for γ∞

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Abstract

The γ∞is an important selection parameter for affinity separations. For i.a. prediction of extraction -and extractive distillation selectivities and potential azeotropes. Several models from different backgrounds have been compared for their ability to predicts γ∞ of (a)polar solutes in (a)polar solvents.
Original languageEnglish
Publication statusPublished - 3 Apr 2018
Event15th Netherlands Process Technology Symposium 2018 - University of Twente, Enschede, Netherlands
Duration: 30 May 201831 May 2018
Conference number: 2018

Conference

Conference15th Netherlands Process Technology Symposium 2018
Abbreviated titleNPS 2018
CountryNetherlands
CityEnschede
Period30/05/1831/05/18

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Azeotropes
Distillation

Cite this

Brouwer, T., & Schuur, B. (2018). Predictive models for γ∞. Poster session presented at 15th Netherlands Process Technology Symposium 2018, Enschede, Netherlands.
Brouwer, Thomas ; Schuur, B. / Predictive models for γ∞. Poster session presented at 15th Netherlands Process Technology Symposium 2018, Enschede, Netherlands.
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author = "Thomas Brouwer and B. Schuur",
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note = "15th Netherlands Process Technology Symposium 2018, NPS 2018 ; Conference date: 30-05-2018 Through 31-05-2018",

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Brouwer, T & Schuur, B 2018, 'Predictive models for γ∞' 15th Netherlands Process Technology Symposium 2018, Enschede, Netherlands, 30/05/18 - 31/05/18, .

Predictive models for γ∞. / Brouwer, Thomas ; Schuur, B.

2018. Poster session presented at 15th Netherlands Process Technology Symposium 2018, Enschede, Netherlands.

Research output: Contribution to conferencePosterAcademic

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AB - The γ∞is an important selection parameter for affinity separations. For i.a. prediction of extraction -and extractive distillation selectivities and potential azeotropes. Several models from different backgrounds have been compared for their ability to predicts γ∞ of (a)polar solutes in (a)polar solvents.

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Brouwer T, Schuur B. Predictive models for γ∞. 2018. Poster session presented at 15th Netherlands Process Technology Symposium 2018, Enschede, Netherlands.