Researchers develop new model of flow properties for class of polymers

vitrimers

An example of a polydimethylsiloxane vitrimer synthesized in the Ricarte Lab. (Courtesy of Ralm Ricarte)

Engineering researchers are helping to write the “cookbook” describing the properties of vitrimers, a promising material that combines the benefits of different types of polymers.

Florida State University researchers at the FAMU-FSU College of Engineering developed a theoretical model that explains the flow of these polymer materials. They found that the energy required to start flowing is the sum of the energy required to break the bonds of two separate parts of the polymer, which is useful for manufacturers or recyclers who are designing ways to use vitrimers. Their work was published in Macromolecules

ricarte
Ralm Ricarte, an assistant professor of chemical and biomedical engineering at FAMU-FSU Engineering (Photo: FAMU-FSU Engineering/M Wallheiser)

“If you’re able to predict the flow properties, that helps guide the design of the processing units to process these,” said Ralm Ricarte, an assistant professor of chemical and biomedical engineering at the FAMU-FSU College of Engineering and paper co-author. “You can understand at what temperature it will start flowing and how viscous it will be. If you want to create a special application, you could determine what sort of chemistry you would need to build what you want with the very specific properties you might want.”

Vitrimers are a material developed in the 2010s that combine the benefits of two types of polymers: thermosets and thermoplastics. Thermosets are strong. They’re mechanically robust and are resistant to breaking down. Thermoplastics are flexible. They don’t have the same mechanical strength as thermosets, but they can be melted and reshaped several times over. Vitrimers, with the benefits of those two materials, could be useful for 3D printing, as shock-absorbing materials, as battery electrolytes and in other applications.

Chains of polymers are bonded to other polymer chains by a set of molecules known as cross-links. In vitrimers, those cross-links can move to different parts of polymer chains. The working assumption was that vitrimers’ ability to flow under different conditions, which affects their ability to be recycled and how easily they could be processed, depended on their cross-links.

“We challenged that assumption, and we developed a theoretical model that allowed us to probe on the molecular level how the chemical structure of a vitrimer affected its flow behavior,” Ricarte said.

The model included three cross-links with a range of switching speeds: fast, medium and slow. Researchers paired each of those with three polymer backbones with different flexibilities: high, medium and low. That allowed them to identify the activation energy needed for a range of different combinations to start flowing like a fluid — which is essential for being able to melt and reshape the material.

They found that the activation energy required for a vitrimer to flow like fluid is the sum of the energy required to break the cross-links' bonds and the polymer backbone.

“What this suggests is that if you know the activation energy of a cross-link and a polymer backbone, then you’re able to predict what the final activation energy of a vitrimer will be,” Ricarte said. “It really simplifies things.”

vitrimers 2
An example of a vitrimer synthesized in the Ricarte Lab shown next to a U.S. quarter for size comparison. (Courtesy of Ralm Ricarte)

Although this paper was based on a theoretical model, researchers at the University of Illinois at Urbana-Champaign recently published results from an experiment that matches the predictions the FSU researchers made with their model.

Sachin Shanbhag, a professor in the FSU Department of Scientific Computing, was a co-author of this paper. This work was supported by the National Science Foundation as well as Florida State University and the FAMU-FSU College of Engineering.

shabhag
Sachin Shanbhag, a professor in the FSU Department of Scientific Computing