Abstract
Ultrasonic cleaning is one of the most promising types of cleaning in terms of environmental friendliness, cost and efficiency. The condition of the cleaning body must be taken into account for optimal control of the ultrasonic cleaning process. This allows you to irradiate only those areas that really need it. The modelling of the process of ultrasonic cleaning of bodies of different configurations and the analysis of the parameters of ultrasonic responses at different stages of cleaning were performed. This allowed us to identify the parameters by which the assessment of the process should be formed. The main parameter was the change in the time of receipt of the threshold value of the signal, and the auxiliary - the change of the nonlinearity coefficient of the second order. The change in the time of receipt of the threshold value of the signal is an indicator of dirt peeling, and the change in the nonlinearity coefficient demonstrates the approach to the final result of cleaning. These parameters became clear input data for the 3-D fuzzy interval controller. The functions of affiliation were defined and the base of rules was formed. Modelling of the ultrasonic cleaning process using the established method of estimating the course of the process and the use of 3-D fuzzy interval controller showed about 35%energy savings.
Highlights
Effective cleaning is an important component of both production cycles and the possibility of ongoing equipment repairs
The value of the "change" of the signal is obtained as the relative difference of the last two measurements of the threshold time. If this value is equal to 0, the product of the ratios of the nonlinearity coefficients of the 2nd and 3rd orders is chosen as this parameter where ݐଶ, ݐଵ are the times of receipt of the threshold value of the signal for the current and past measurements
The contamination was exfoliated at a radiation intensity at the point of contamination of more than 50% compared to the maximum
Summary
Effective cleaning is an important component of both production cycles and the possibility of ongoing equipment repairs. The large number of interrelated parameters that affect the ultrasonic cleaning process complicate the process of forming a control based on standard methods Another approach to increase the energy efficiency of ultrasonic cleaning is to improve the methods of controlling this process. In [4], the evaluation of the process is based on the temperature of the liquid Such approaches increase the efficiency of ultrasonic cleaning, but ignore the real state of the cleaning body, forming a control based on indirect evaluation. Modeling the application of a new method for assessing the state of the ultrasonic process and the formation of control using a 3-D fuzzy interval controller type 2 showed an increase in energy efficiency of cleaning by 40%
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