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Computing the Composition of Ethanol-Water Mixtures Based on Experimental Density and Temperature Measurements

dc.contributor.authorDanahy, Brooks B.
dc.contributor.authorMinnick, David L.
dc.contributor.authorShiflett, Mark B.
dc.date.accessioned2019-11-18T14:08:49Z
dc.date.available2019-11-18T14:08:49Z
dc.date.issued2018-08-27
dc.identifier.citationDanahy, B.B.; Minnick, D.L.; Shiflett, M.B. Computing the Composition of Ethanol-Water Mixtures Based on Experimental Density and Temperature Measurements. Fermentation 2018, 4, 72.en_US
dc.identifier.urihttp://hdl.handle.net/1808/29782
dc.description.abstractTwo correlations were developed to calculate the composition of binary ethanol-water solutions from experimental temperature and density inputs. The first correlation is based on a Redlich-Kister (R-K) expansion and computes mixture composition within an average accuracy of ±0.45 wt.%. The R-K model is a non-linear function of composition and therefore requires the use of an iterative solving tool. A polynomial correlation was additionally developed which utilizes a direct solving method, and computes ethanol composition over a range of 0–100 wt.% [283.15–313.15 K] with an accuracy better than ±0.37 wt.%. The polynomial model is particularly advantageous as it can be tailored to specific composition ranges for increased accuracy. Both correlations are intended to provide a method for monitoring ethanol concentration within a chemical process in real time without off-line sample analysis, allowing for precise in-situ system control and optimization.en_US
dc.publisherMDPIen_US
dc.rights© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectethanolen_US
dc.subjectalcoholen_US
dc.subjectwateren_US
dc.subjectcompositionen_US
dc.subjectdensityen_US
dc.subjectcorrelationen_US
dc.subjectregressionen_US
dc.subjectpredictionen_US
dc.titleComputing the Composition of Ethanol-Water Mixtures Based on Experimental Density and Temperature Measurementsen_US
dc.typeArticleen_US
kusw.kuauthorDanahy, Brooks B.
kusw.kuauthorMinnick, David L.
kusw.kuauthorShiflett, Mark B.
kusw.kudepartmentChemical and Petroleum Engineeringen_US
dc.identifier.doi10.3390/fermentation4030072en_US
dc.identifier.orcidhttps://orcid.org/0000-0001-7733-7371en_US
kusw.oaversionScholarly/refereed, author accepted manuscripten_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as: © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).