Using fuzzy rule-based knowledge model for optimum plating conditions search
Denis Sergeevich Solovjev, Inna A. Solovjeva, Yu. V. Litovka, Alexander A. Arzamastsev, V P Glazkov, Alexey Arlenovich L’vov · IOP Conference Series Materials Science and Engineering · 2018
The paper discusses existing approaches to plating process modeling in order to decrease the distribution thickness of plating surface cover. However, these approaches do not take into account the experience, knowledge, and intuition of the decision-makers when searching the optimal conditions of electroplating technological process. The original approach to optimal conditions search for applying the electroplating coatings, which uses the rule-based model of knowledge and allows one to reduce the uneven product thickness distribution, is proposed. The block diagrams of a conventional control system of a galvanic process as well as the system based on the production model of knowledge are considered. It is shown that the fuzzy production model of knowledge in the control system makes it possible to obtain galvanic coatings of a given thickness unevenness with a high degree of adequacy to the experimental data. The described experimental results confirm the theoretical conclusions.