LAPSE:2018.0155
Published Article
LAPSE:2018.0155
Combining On-Line Characterization Tools with Modern Software Environments for Optimal Operation of Polymerization Processes
Navid Ghadipasha, Aryan Geraili, Jose A. Romagnoli, Carlos A. Castor Jr, Michael F. Drenski, Wayne F. Reed
July 30, 2018
This paper discusses the initial steps towards the formulation and implementation of a generic and flexible model centric framework for integrated simulation, estimation, optimization and feedback control of polymerization processes. For the first time it combines the powerful capabilities of the automatic continuous on-line monitoring of polymerization system (ACOMP), with a modern simulation, estimation and optimization software environment towards an integrated scheme for the optimal operation of polymeric processes. An initial validation of the framework was performed for modelling and optimization using literature data, illustrating the flexibility of the method to apply under different systems and conditions. Subsequently, off-line capabilities of the system were fully tested experimentally for model validations, parameter estimation and process optimization using ACOMP data. Experimental results are provided for free radical solution polymerization of methyl methacrylate.
Keywords
dynamic optimization, free radical polymerization, molar mass distribution, online monitoring, parameter estimation
Suggested Citation
Ghadipasha N, Geraili A, Romagnoli JA, Castor CA Jr, Drenski MF, Reed WF. Combining On-Line Characterization Tools with Modern Software Environments for Optimal Operation of Polymerization Processes. (2018). LAPSE:2018.0155
Author Affiliations
Ghadipasha N: Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
Geraili A: Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
Romagnoli JA: Department of Chemical Engineering, Louisiana State University, Baton Rouge, LA 70803, USA
Castor CA Jr: Department of Physics and Engineering Physics, Tulane University, New Orleans, LA 70118, USA
Drenski MF: Advanced Polymer Monitoring Technologies, Inc., New Orleans, LA 70125, USA
Reed WF: Department of Physics and Engineering Physics, Tulane University, New Orleans, LA 70118, USA [ORCID]
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Journal Name
Processes
Volume
4
Issue
1
Article Number
E5
Year
2016
Publication Date
2016-02-15
Published Version
ISSN
2227-9717
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PII: pr4010005, Publication Type: Journal Article
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LAPSE:2018.0155
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doi:10.3390/pr4010005
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Jul 30, 2018
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