No abstract

No abstract

The process of electrical discharge profiling of diamond tool is regarded as a stochastic control object from the point of view of the analysis of factors affecting its productivity. The selection of optimal modes can significantly improve the quality indicators of this process. For this improvement, a model of electrical discharge profiling is developed using the example of diamond grinding wheels, which allows making an informed selection of optimal control modes for this process. The main factor that reduces productivity is the insufficient average power released in the interelectrode gap during electrical discharge machining of the workpiece. The dependence of the indicated power on the size of the interelectrode gap and on the frequency and amplitude of technological pulses is extreme, which determines the choice of approach to optimizing the process. To ensure extreme power control, it is proposed to use the Gauss-Seidel coordinate descent method for two parameters: the size of the interelectrode gap and the amplitude of the pulse generator. The search algorithm for the extremum of the static characteristics of the inertial object for each coordinate is performed with the help of the recursive least squares method.

Currently the pulp and paper industry is one of the fastest growing sectors of the economy in Russia and other countries. An important aspect of the further development of this industry is associated with an increase in the efficiency of paper production and the quality of finished products with an economical and rational use of raw materials, fuel and energy and other material resources. This is facilitated by the use of modern means of automation and process control. It was experimentally established that there is an extreme dependence between the ratio of the speeds of the paper pulp and the paper machine and the standard deviation of the linear density of the paper web, which determines the degree of non-uniformity of the paper gap. The use of a noise-resistant algorithm for extreme control of an inertial object based on the combination of synchronous accumulation and synchronous detection methods with subsequent search for the maximum amplitude of the second harmonic of the filtered signal, aimed at reducing the root-mean-square deviation of the mass of a square meter of paper web, is considered. It is proposed to simultaneously stabilize the mass flow rate of paper pulp and the coordinate of the fall of the paper pulp jet onto the conveyor mesh, which made it possible to increase the efficiency of paper production.

The paper provides formalization and construction of a model of the process of electrical discharge machining. When describing the process, a T-shaped equivalent circuit containing an RLC circuit was used. Determine the transfer function of the proposed substitution scheme. Also, a task is formulated and an algorithm for neural network parametric identification of a T-shaped equivalent circuit is proposed. The problem is posed and an algorithm is developed for neural network parametric identification of the equivalent circuit with a computational experiment, the formation of training samples on its basis, and the subsequent training of dynamic and static neural networks used in the identification problem. The process was simulated in Simulink, Matlab package. Acceptable coincidence of the calculated data with the experimental ones showed that the proposed model of electrical discharge machining reflects real electromagnetic processes occurring in the interelectrode gap.