A Convex Hull Formulation for the Design of Optimal Mixtures

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Title: A Convex Hull Formulation for the Design of Optimal Mixtures
Authors: Jonuzaj, S
Adjiman, CS
Item Type: Conference Paper
Abstract: The design of mixtures plays an important role in improving process and product performance but is challenging because it requires finding the optimal number, identities and compositions of mixture components and using nonlinear property models. To address this, a general modeling framework for mixture design problems is presented. It integrates Generalized Disjunctive Programming (GDP) into Computer-Aided Mixture/blend Design via Hull Reformulation (HR). The design methodology is applied successfully to a case study involving solid-liquid equilibrium calculations to find an optimal solvent mixture that dissolves ibuprofen. The results show that the proposed GDP-based approach appears very promising for the design of mixture problems. The HR approach is used to solve mixture problems successfully. Its overall computational efficiency is found to be better than that of Big-M approach. Numerical difficulties arising from the absence of components in the final mixture can be avoided, leading to computationally efficient solutions.
Issue Date: 25-Jun-2016
Date of Acceptance: 23-Feb-2016
URI: http://hdl.handle.net/10044/1/29906
DOI: http://dx.doi.org/10.1016/B978-0-444-63428-3.50392-1
ISSN: 1570-7946
Publisher: Elsevier
Start Page: 2325
End Page: 2330
Journal / Book Title: Computer Aided Chemical Engineering
Volume: 38
Copyright Statement: © 2016 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor/Funder: Engineering & Physical Science Research Council (EPSRC)
Funder's Grant Number: EP/J003840/1
Conference Name: 26th European Symposium on Computer Aided Process Engineering
Keywords: Chemical Engineering
Publication Status: Published
Start Date: 2016-06-12
Finish Date: 2016-06-15
Conference Place: Portorož Slovenia
Appears in Collections:Faculty of Engineering
Chemical Engineering



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