ABSTRACT
Nanomaterials (NMTs) production modeling and optimization is a huge task. Even though several authors have been able to model the process, nevertheless, deeper investigation needs to be carried out since the process itself is a combination of several disciplines from physical sciences to engineering. This chapter investigates various research works that have carefully modeled the production process of carbon-based NMTs (mainly carbon nanotubes) over the last two decades. Models such as the machine-learning models, simple weight model, kinetic model, as well as the model derived from chemical kinetic models, are all investigated and presented in this chapter. In addition, reactors such as fixed bed reactors, fluidized bed reactors, screw kilns, and autoclaves have all been employed in NMT production using different techniques. The optimization of NMT production process is carefully evaluated from the works of authors who have found ways to improvise NMT production from a combination of different processes, pre-processes, catalysts, operating conditions, and reactors, amongst several others. To optimize the NMT production process aside from the conditions and variables mentioned, the coproduction of valuable products such as hydrogen gas is essential.
