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Winter 2019 Speaker Series: Dr. P.D. (Piet) Iedema, University of Amsterdam | Friday, March 8th | "Polymer Modeling for Art and Industry."

The Center's Science for Art Fall 2018 Speaker Series welcomes Dr. P.D. (Piet) Iedema on Friday, March 8th for his talk, "Polymer Modeling for Art and Industry." Join us for a lecture and discussion on a multi-physics approach to mathematical modeling of polymer network based paints, as applied to photocuring acrylates (e.g., used in 3D printing [art] objects) and linseed oil-based binding medium in oil paintings.

Dr. Iedema is Chair, Computational Polymer Chemistry and Science at the Van ‘t Hoff Institute of Molecular Science, University of Amsterdam

TDr. P.D. Iedemaalk Details:

Friday, March 8th, 12-1pm
Technological Institute – Tech L251
2145 Sheridan Road
Evanston, IL, 60208

 

 

 

Full Abstract:

Polymer Modeling for Art and Industry

P.D (Piet) Iedema, University of Amsterdam

In this talk a multiphysics approach to mathematical modeling of polymer network based paints will be discussed, as applied to photocuring acrylates (e.g used in 3D printing (art) objects) and linseed oil based binding medium in oil paintings. 

Old oil paintings are a precious but vulnerable part of cultural heritage. The binding medium polymer chemically interacting with metal from pigments is degrading over many years of museal exposure and treatments. In order to better understand the chemistry and migration of degradation products models predicting the polymer network structure are developed from atomistic to macroscopic scales. The extreme chemical complexity of the historically interesting binding medium linseed oil is treated using automatic reaction network and kinetic model generation. The link between polymer network topology and thermomechanical properties is provided by Molecular Dynamics.

Understanding the chemistry of the transition, in photocuring of acrylates, from liquid monomer to solid polymer, involving the role of oxygen, network-bound and free unsaturated groups, humidity and metal coordination sites (ionomers),  allows predicting the network topology.  Simulations on atomistic level serve to compute the increasing diffusion limitation of the reactions which forms input to higher aggregation level models based on Random Graph Theory. Thus, prediction will become possible of old paintings degradation behavior related to metal-based pigments and performance related to structure of acrylates.


About Dr. Iedema:

P.D. (Piet) Iedema studied Chemistry in Groningen and got his PhD in Mechanical Engineering in 1984 from the Delft University of Technology; title of PhD thesis:  “The LiBr/ZnBr2/CH3OH Absorption Heat Pump for Domestic Heating”.  He has worked in industry (Stork and DSM) in Chemical Engineering departments heading mathematical modeling groups. From 1987-1994 he was Group Leader ‘Process Integration’ and Department Head ‘Modelling & Mathematics’ at DSM Research. In 1994 he was appointed Full Professor of Chemistry at the UvA.

Presently he holds the Chair Computational Polymer Chemistry and Science for at the Van ‘t Hoff Institute of Molecular Science/UvA.

His research field is concerned with predicting molecular architectures of branched polymer molecules by using a combination of deterministic modeling and Monte Carlo simulations. His research contributes to both mathematical tool development as applying such tools to problems in art and industry. He started fundamental research, both experimental and computational, of thermodynamic and transport properties of the linseed oil based polymer provided crucial understanding of metal soap behavior – a major factor in paint deterioration.

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