Ultrasonic cleaning is one of the most efficient types of cleaning mining equipment. In order to enhance its energy efficiency, it is required to improve control over ultrasonic cleaning through considering its spacious distribution. This control is based on assessing the condition of a cleaned object in set points to determine duration of the process according to the real contamination of a product. In order to form controlling impact, the authors suggest a new fuzzy controller, which combines features of a 3D fuzzy controller and an interval fuzzy controller of Type 2. This enables taking advantages of both extensions of fuzzy logic – an opportunity to process spacious data through fuzzy expert evaluation. The concept of a controller is based on the 3-D interval fuzzy set of Type 2. The developed controller differs from the traditional one by reduced dimension and reduction of IТ2 FS to IТ1 FS. The rule base remains two-dimensional and is not dependent on the number of sensors. The elaborated methods enable the controller model based on 3-D IТ2 FS for ultrasonic cleaning of mining equipment. Spacious distribution of the process and ambiguity of expert assessments are considered to determine the process course according to the data of ultrasonic sensors.
Consideration of ultrasonic cleaning as a process with distributed parameters enables reduction of power consumption. This approach is based on establishment of control over the process depending on fixed values of ultrasonic responses in set points. The initial intensity of radiators is determined using a three-dimensional (3D) interval type-2 fuzzy logic controller essentially created for processes with distributed parameters, as well as complex expert evaluation of the input data. The interval membership functions for the input and output data consider the space heterogeneity of ultrasonic cleaning. A rule base is formed, which is 2D and not dependent upon the number of input and output parameters. A model illustrating ultrasonic cleaning with a 3D interval type-2 fuzzy logic controller is designed. Comparative analysis of the output parameters of the proposed model and the traditional method indicates an increase in the energy efficiency by 41.17% due to application of only those ultrasonic radiators that are located next to the contamination.
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.
Purpose. To develop methods for spatial control over ultrasonic cleaning by using ultrasonic phased array of radiators. To simulate the cleaning process using the developed methods to prove their effectiveness. Methodology. Application of the ultrasonic array as a basic radiator for ultrasonic cleaning enables redistribution of intensity in the bath by increasing it in the most contaminated zones of the cleaned object. Geometric and physical laws provide analytically defined parameters of the beam. Findings. The authors determine basic parameters for the ultrasonic beam through considering input and output data of the 3-D fuzzy interval controller. The focus distance is calculated by means of the arrival time of the threshold signal considering distances between the sensor and the array. The azimuth is directed into the bath center and dependent on its height only. The zenithal angle is calculated as a ratio of intensities of the current arrays and the nearest adjacent ones towards the greatest one. By default, the beam is directed to the bath center for the phased array with the greatest intensity. The simulation reveals that the applied approach enables a 41.5% increase in intensity in the contamination zone, this improving energy efficiency of cleaning and reducing time required for ultrasonic treatment. Originality. The authors suggest new methods for forming control over ultrasonic cleaning, which enables considering spatial distribution of this process by optimizing energy losses. Practical value. The new approach to spatial control over ultrasonic cleaning enables redirecting intensity in the bath to the most contaminated zones, this allowing an increase in energy efficiency of large mining machines of complicated configuration.
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