Reversible Cluster Aggregation and Growth Model for Graphene Suspensions
Abstract
We present a reversible cluster aggregation model for 2‐D macromolecules represented by line segments in 2‐D; and, we use it to describe the aggregation process of functionalized graphene particles in an aqueous SDS surfactant solution. The model produces clusters with similar sizes and structures as a function of SDS concentration in agreement with experiments and predicts the existence of a critical surfactant concentration (Ccrit) beyond which thermodynamically stable graphene suspensions form. Around Ccrit, particles form dense clusters rapidly and sediment. At C ≪ Ccrit, a contiguous ramified network of graphene gel forms which also densifies, but at a slower rate, and sediments with time. The deaggregation–reaggregation mechanism of our model captures the restructuring of the large aggregates towards a graphite‐like structure for the low SDS concentrations. © 2017 American Institute of Chemical Engineers AIChE J, 63: 5462–5473, 2017
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Sep 30, 2017
- Source ID
- 10.1002/aic.15962
Entities
People
- Ilhan A. Aksay
- Jean H. Prévost
- Kevin S. Sallah
- Michail Alifierakis
Organizations
- Air Force Office of Scientific Research
- Onassis Foundation
- Princeton University