Funded by NWO
PREDICTING AGING OF OIL NETWORKS
Little is known about the intrinsic instability of oil paintings. It can become manifest by visual damage, a possible warning sign for more dramatic deterioration in the future. Damage such a protrusions or discolorations is often caused by the formation of metal soaps, compounds of metals with fatty acids. Oil paintings are essentially thermodynamically unstable systems developing towards more stable, but aesthetically less attractive, states. Analyzed paint samples prove that metal is displaced across the paint film in this process, but the exact role of the linseed oil networks used as binding medium is unclear. This project aims to better understand the behavior of metal in linseed oil networks by gaining more information about the microstructure of the latter. It will use multi-scale mathematical modeling to predict this microstructure in the various states of an oil painting, from the process of applying the paint through the drying stage until highly degraded conditions. The models will answer questions about the extent to which higher temperatures and relative humidity and the ranges of fluctuations in both promote degradation of pigments in oil paintings. This information is crucial in making informed decisions about safe display and storage conditions.
- Y. Orlova MSc (University of Amsterdam), PhD-candidate
- Dr. K.J. van den Berg (Cultural Heritage Agency of the Netherlands)
- Dr. K. Keune (Rijksmuseum, University of Amsterdam)
- Dr. A. van Loon (University of Amsterdam, Delft University of Technology)
- Dr. ir. H.L. Schellen (Eindhoven University of Technology)
- Dr. M.J.N. Stols-Witlox (University of Amsterdam)
- Prof. dr. A. Suiker (Eindhoven University of Technology
- Dr. B. Ankersmit (Cultural Heritage Agency of the Netherlands)
- Prof. dr. P. Bolhuis (University of Amsterdam)
- P. van Duin (Rijksmuseum)
- Dr. M. van Eikema Hommes (Cultural Heritage Agency of the Netherlands, Delft University of Technology)
- Drs. P. Noble (Rijksmuseum)
- Prof. dr. P. Schoenmakers (University of Amsterdam)
- B. Schoonhoven
- Dr. A. Torres Knoop (University of Amsterdam), postdoc
- Cultural Heritage Agency of the Netherlands
- Delft University of Technology
- Eindhoven University of Technology
- University of Amsterdam
- Y. Orlova, A.A. Gambardella, R.E. Harmon, I. Kryven & P.D. Iedema (2020). Finite representation of reaction kinetics in unbounded biopolymer structures. Chemical Engineering Journal.
- J. A. M. Eumelen, E. Bosco, A. S. J. Suiker, J. J. Hermans, A. van Loon, K. Keune & P. D. Iedema. (2020). Computational modelling of metal soap formation in historical oil paintings: the influence of fatty acid concentration and nucleus geometry on the induced chemo-mechanical damage. SN Applied Sciences.
- J. A. M. Eumelen, E. Bosco, A. S. J. Suiker, A. van Loon & P. D. Iedema. (2019). A computational model for chemo-mechanical degradation of historical oil paintings due to metal soap formation. Journal of the Mechanics and Physics of Solids.
- Y. Orlova, I. Kryven & P.D. Iedema (2018). Automated reaction generation for polymer networks. Computers and Chemical Engineering 112, 37–47.
- A. Torres-Knoop, I. Kryven, V. Schamboeck & P.D. Iedema (2018). Modeling the free-radical polymerization of hexanediol diacrylate (HDDA): a molecular dynamics and graph theory approach. Soft Matter.