A preventive maintenance scheme for rotary ultrasonic vibration EDM machine tool based on particle swarm optimization algorithm under reliability constraints.

Abstract

In this paper, a preventive maintenance scheme for a rotary ultrasonic vibration-assisted EDM machine is investigated. A preventive maintenance cost optimization model for machine tools was developed under the constraint of reliability. The model is simple and efficient and can be applied to rotary ultrasonic vibration-assisted EDM machine tool. The mathematical model is based on Particle swarm optimization, which is solved by MATLAB to compare the differences in optimization results under different iterations, and the optimal preventive maintenance interval for the machine tool is 417 hours according to the constraints, corresponding to a minimum maintenance cost of ¥24088, which effectively reduces the downtime loss and maintenance cost caused by the failure of machine tools, and provides a theoretical basis for the preventive maintenance plan of machine tools.