A method and device for optimizing the formulation of anti-fouling aluminum oxide ceramics

Abstract

The application relates to an anti-fouling aluminum oxide ceramic formula optimization method and device, and relates to the technical field of intelligent formula optimization.The application comprises the following steps: firstly, determining a design variable space comprising a component group and a process group, and defining a comprehensive objective function composed of copper and silicon fouling index normalization; secondly, based on fouling index data of historical samples, generating an initial formula sample set through high-quality screening, adaptive disturbance and space filling; further, dividing good and bad samples, establishing an anisotropic repulsion domain of poor samples and a dynamic attraction weight of good samples, and adopting attraction-repulsion hybrid sampling and rejection judgment for iterative optimization; finally, updating a formula knowledge base, marking a cross-project high-confidence forbidden area, and automatically extracting an optimal ceramic formula according to convergence constraints.The application solves the technical problems that, in traditional anti-fouling ceramic formula development, fouling factors are intertwined, experimental information is mixed, effective utilization is low, experimental directions are fuzzy, trial and error is frequent, and performance is difficult to break through.