Computing the Composition of Ethanol-Water Mixtures Based on Experimental Density and Temperature Measurements
dc.contributor.author | Danahy, Brooks B. | |
dc.contributor.author | Minnick, David L. | |
dc.contributor.author | Shiflett, Mark B. | |
dc.date.accessioned | 2019-11-18T14:08:49Z | |
dc.date.available | 2019-11-18T14:08:49Z | |
dc.date.issued | 2018-08-27 | |
dc.identifier.citation | Danahy, 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.uri | http://hdl.handle.net/1808/29782 | |
dc.description.abstract | Two 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.publisher | MDPI | en_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.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.subject | ethanol | en_US |
dc.subject | alcohol | en_US |
dc.subject | water | en_US |
dc.subject | composition | en_US |
dc.subject | density | en_US |
dc.subject | correlation | en_US |
dc.subject | regression | en_US |
dc.subject | prediction | en_US |
dc.title | Computing the Composition of Ethanol-Water Mixtures Based on Experimental Density and Temperature Measurements | en_US |
dc.type | Article | en_US |
kusw.kuauthor | Danahy, Brooks B. | |
kusw.kuauthor | Minnick, David L. | |
kusw.kuauthor | Shiflett, Mark B. | |
kusw.kudepartment | Chemical and Petroleum Engineering | en_US |
dc.identifier.doi | 10.3390/fermentation4030072 | en_US |
dc.identifier.orcid | https://orcid.org/0000-0001-7733-7371 | en_US |
kusw.oaversion | Scholarly/refereed, author accepted manuscript | en_US |
kusw.oapolicy | This item meets KU Open Access policy criteria. | en_US |
dc.rights.accessrights | openAccess | en_US |
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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/).