Predictive models for γ∞

Thomas  Brouwer; B. Schuur

Predictive models for γ∞

Thomas Brouwer, B. Schuur

Sustainable Process Technology

Research output: Contribution to conference › Poster › Academic

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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 language	English
Publication status	Published - 3 Apr 2018
Event	15th Netherlands Process Technology Symposium 2018 - University of Twente, Enschede, Netherlands Duration: 30 May 2018 → 31 May 2018 Conference number: 2018

Conference

Conference	15th Netherlands Process Technology Symposium 2018
Abbreviated title	NPS 2018
Country/Territory	Netherlands
City	Enschede
Period	30/05/18 → 31/05/18

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title = "Predictive models for γ∞",

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.",

author = "Thomas Brouwer and B. Schuur",

year = "2018",

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day = "3",

language = "English",

note = "15th Netherlands Process Technology Symposium 2018, NPS 2018 ; Conference date: 30-05-2018 Through 31-05-2018",

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TY - CONF

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AU - Brouwer, Thomas

AU - Schuur, B.

N1 - Conference code: 2018

PY - 2018/4/3

Y1 - 2018/4/3

N2 - 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.

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.

M3 - Poster

T2 - 15th Netherlands Process Technology Symposium 2018

Y2 - 30 May 2018 through 31 May 2018

ER -

Predictive models for γ∞

Abstract

Conference

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