Publications

BibTex format

@inproceedings{Jonuzaj:2016:10.1016/B978-0-444-63428-3.50392-1,
author = {Jonuzaj, S and Adjiman, CS},
doi = {10.1016/B978-0-444-63428-3.50392-1},
pages = {2325--2330},
publisher = {Elsevier},
title = {A Convex Hull Formulation for the Design of Optimal Mixtures},
url = {http://dx.doi.org/10.1016/B978-0-444-63428-3.50392-1},
year = {2016}
}

Download

RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - The design of mixtures plays an important role in improving process and product performancebut is challenging because it requires finding the optimal number, identities and compositions ofmixture components and using nonlinear property models. To address this, a general modelingframework for mixture design problems is presented. It integrates Generalized Disjunctive Programming(GDP) into Computer-Aided Mixture/blend Design via Hull Reformulation (HR). Thedesign methodology is applied successfully to a case study involving solid-liquid equilibrium calculationsto find an optimal solvent mixture that dissolves ibuprofen. The results show that theproposed GDP-based approach appears very promising for the design of mixture problems. TheHR approach is used to solve mixture problems successfully. Its overall computational efficiencyis found to be better than that of Big-M approach. Numerical difficulties arising from the absenceof components in the final mixture can be avoided, leading to computationally efficient solutions.
AU  - Jonuzaj,S
AU  - Adjiman,CS
DO  - 10.1016/B978-0-444-63428-3.50392-1
EP  - 2330
PB  - Elsevier
PY  - 2016///
SN  - 1570-7946
SP  - 2325
TI  - A Convex Hull Formulation for the Design of Optimal Mixtures
UR  - http://dx.doi.org/10.1016/B978-0-444-63428-3.50392-1
UR  - http://hdl.handle.net/10044/1/29906
ER  -

Download

Prof Claire S. Adjiman FREng

Contact

Location

Summary

Citation

BibTex format

RIS format (EndNote, RefMan)