Search of optimum conditions of plating using a fuzzy rule-based knowledge model

Abstract

The paper discusses existing approaches to modeling the thickness distribution of plating. However, these approaches do not take into account the experience, knowledge and intuition of the decision makers in the process of searching optimal conditions of the technological process of electroplating. The authors propose an original approach to the search for optimum conditions of plating with using rule-based model of knowledge with the aim of reducing the uneven thickness distribution on the product. Studied the structural schemes of the traditional system of management of the galvanic process and system based on rule-based knowledge model. The system fuzzy-rule-knowledge model allows to obtain a predetermined the unevenness of the plating with a high degree of adequacy.