Chemical pattern recognition applied to materials optimal design and industry optimization

The multi-dimensional spaces, spanned by the dimensionless numbers describing the equilibrium states or the macroscopic chemical kinetics of complicated chemical reaction systems, have been used for the data processing of the processes in materials preparation or industrial production. It has been found that there are four common topological types of the relations between the optimization zone and the operation zone in the multi-dimensional spaces. Various computation methods using pattern recognition, artificial neural network and genetic algorithm are used for model-building and optimization strategy searching. An integrated system named KDPAG has been built for materials optimal design or industrial optimization. Application to chemical, petrochemical and metallurgical industries and materials optimal design gives good results.