I am trying to build a predictive model that could determine the concentration to which graphene can be suspended in a solvents ( and that doesn't involve molecular simulations)
1. The system consists of two components with different electrical conductivity. Graphene has a high electrical conductivity, while water has a low electrical conductivity. in the beginning there should be additive values of electrical conductivity depending on concentration. The function should change its direction near the concentration of the separation into suspension phases.
2. the system should behave like the first one, but the point of definition of separation will be poorly visible on the graph.
It is necessary to determine the conductivity immediately after preparation of the suspension on an ultrasonic disperser.
I am doing this research remotely. Is it possible to model it without performing experiments? I mean is it possible to calculate with available data sets on internet?
There is no such limit - in any case you will end up with a suspension, which is always thermodynamically unstable. Depending on dispersing intensity, solvent and additives you will end up with different degree of dispersion - shifting the size from large agglomerates to aggregates and maybe individual platelets.
When speaking about mechanical separation of the suspension, increasing solids concentration means increasing hindrance, which leads to higher mechanical stability, i.e. particles just wetted by continuous phase (solvent) have highest mechanical stability against separation.