Optimisation: Keyword in Ceramic Application

Optimisation is a key factor that technicians and researchers cannot neglect to improve the quality and economic efficiency of processes. When many variables play a role, approaches such as DOE (Design of Experiment) and ANN (Artificial Neural Network) are of fundamental importance to disentangle ourselves from a mass of parameters that seem to be out of control. The setting-up of models for optimisation requires numerical information regarding the process or product. An objective knowledge minimises the space for subjective aspects. Certainly, systematic optimisation approaches can be used in numerous fields. This article focuses on the optimisation of the rheological behaviour of ceramic suspensions as well as of the particle size distribution.