760931 20250930095958.0 datacite_doi 10.18154/RWTH-2019-04515 RWTH-2019-04515 English P:(DE-82)IDM03100 Jung, Falco Constantin 0 First author rwth Dataset to "Identifiability Analysis and Parameter Estimation of Microgel Synthesis: A Set-Membership Approach" 2019 BibTeX MISC PUB:(DE-HGF)32 PUB:(DE-HGF) Dataset dataset dataset 1558440514_138563 26 EndNote Chart or Table DataCite Dataset ORCID DATA_SET DINI ResearchData Functional microgels with tailored structure and specific properties are required for medical and technical applications, thus motivating model-based optimization of their fabrication processes. An important step in the creation of accurate models is parameter estimation. We present a methodology for a parameter identifiability analysis, which approximates the feasible parameter set as a box by solving a series of constrained dynamic optimization problems. The method is applied to the synthesis of microgels based on two monomers, N-vinylcaprolactam and N-isopropylacrylamide, and the cross-linker N,N-methylenebis(acrylamide). The results show that kinetic parameters corresponding to the reaction of the monomers are identifiable as are a subset of the kinetic parameters involving the cross-linker. The reaction kinetics of the cross-linking are faster in comparison to the main polymerization reaction for N-vinylcaprolactam; this allows for an improved understanding of the occurring reaction phenomena. The reaction kinetics of the cross-linking are not identifiable for N-isopropylacrylamide for the given experimental setup; model-based experimental design for parameter precision might enable their identification. The results also indicate potential for model simplification and allow us to make suggestions toward the enhancement of Raman spectroscopy measurements. G:(GEPRIS)191948804 DFG project 191948804 - SFB 985: Funktionelle Mikrogele und Mikrogelsysteme (191948804) 191948804 0 Germany Functional Microgels, Microgel Synthesis P:(DE-82)IDM02144 Janssen, Franca Alisa Laura 1 P:(DE-82)729328 Ksiazkiewicz, Agnieszka 2 P:(DE-82)IDM01635 Caspari, Adrian 3 rwth P:(DE-82)IDM02033 Mhamdi, Adel 4 rwth P:(DE-HGF)0 Andrij, Pich 5 P:(DE-82)IDM00369 Mitsos, Alexander 6 Corresponding author rwth RWTH-2019-01515 Jung, Falco Constantin et.al. Columbus, Ohio : American Chemical Society, 2019 RelatedTo Identifiability Analysis and Parameter Estimation of Microgel Synthesis : A Set-Membership Approach http://publications.rwth-aachen.de/record/760931/files/Experimental%20Data.zip OpenAccess http://publications.rwth-aachen.de/record/760931/files/Mechanistic%20Model.txt OpenAccess oai:publications.rwth-aachen.de:760931 driver VDB open_access openaire I:(DE-588b)36225-6 P:(DE-82)IDM03100 RWTH Aachen 0 RWTH I:(DE-588b)36225-6 P:(DE-82)IDM01635 RWTH Aachen 3 RWTH I:(DE-588b)36225-6 P:(DE-82)IDM02033 RWTH Aachen 4 RWTH I:(DE-588b)36225-6 P:(DE-82)IDM00369 RWTH Aachen 6 RWTH 2019 StatID:(DE-HGF)0510 StatID OpenAccess LIC:(DE-HGF)CC0 HGFVOC CC0: Public Domain Dedication I:(DE-82)416710_20140620 416710 Lehrstuhl für Systemverfahrenstechnik 0 FullTexts dataset VDB I:(DE-82)416710_20140620 UNRESTRICTED