Graphene is well-known for its remarkable electronic, mechanical and thermal properties, but industrial production of high-quality graphene is very challenging. A research team at Delft University of Technology (TU Delft, The Netherlands) has now developed a mathematical model that can be used to guide the large-scale production of these ultrathin layers of carbon. The findings were published this week in The Journal of Chemical Physics.
“Our model is the first to give a detailed view of what happens at the micro and nanoscale when graphene is produced from plain graphite using energetic fluid mixing,” says Dr. Lorenzo Botto, researcher at the department of Process & Energy at TU Delft. “The model will help the design of large-scale production processes, paving the way for graphene to be incorporated in commercial applications from energy storage devices to biomedicine.”
Graphene can be made from graphite, which is a crystalline form of pure carbon, widely used in pencils and lubricants, for example. The layers that make up graphite are called and consists of carbon atoms arranged in a hexagonal structure. These extremely thin carbon layers possess remarkable electrical, mechanical, optical and thermal properties.
A single layer of graphene is about 100 times stronger than the strongest steel of the same thickness. It conducts heat and electricity extremely efficiently and is nearly transparent. Graphene is also intrinsically very cheap, if scalable methods to produce it in large quantities can be developed. Graphene has attracted much attention over the past decade as a candidate material for applications in a variety fields such as electronics, energy generation and storage, and biomedicine. In the near future, copper wiring might be replaced in houses with graphene cables, and researchers envision all-carbon batteries that use as the main building block. However, the fabrication of high-quality at industrial scale and low cost remains a challenge. A new theoretical and computational model developed at TU Delft addresses this challenge.
Production of graphene
One of the most promising techniques to produce graphene from graphite is so-called liquid-phase exfoliation. In this technique, graphite is sheared in a liquid environment until layers of graphene detach from the bulk material. The liquid causes the graphene layers to detach gently, which is important to obtain high-quality.
The process has already been successful in the production of graphene in the laboratory, and at larger scales on a trial-and-error basis. It has the potential to produce tons of material at industrial scale. However, in order to increase the scale of graphene production, researchers need to know the process parameters that make the exfoliation work efficiently without damaging the graphene sheets.
A research team at TU Delft led by Dr. Lorenzo Botto has now developed the first rigorously derived and validated mathematical model to determine those parameters. This model can be embedded in large-scale industrial process optimisation software or used by practitioners to choose processing parameters.
“The exfoliation process is difficult to model,” explains Botto. “The adhesion between graphene layers is not easy to quantify and the fluid dynamical forces exerted by the liquid on the graphite depend sensitively on surface properties and geometry.” Team members Catherine Kamal and Simone Gravelle developed and tested the model against molecular dynamics simulations, and proved that that it is accurate. Key to the success of the model is the inclusion of hydronamic slip of the liquid pushing against the surface, and of the fluid forces on the edges.
Botto says, “The model forms the basis for better control of the technique at any scale. We hope it will pave the way to the large-scale production of for all kinds of useful applications. Fluid forces can be used to produce and process graphene at the scale required by market applications. However, to reach market readiness we need control over quality and processes. By uncovering underlying fluid mechanical principles, I aim for a profound impact on our ability to produce two-dimensional carbon nanomaterials on large scales.”
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