Vitalii Ivanov

TL;DR: The issues, connected with the liquid flows' formation in the working zone of rotary-cavitating activator are studied and the main principles of energy impact while the usage of rotor with radial channels, supplied with the elements for receiving cavitating effects, are defined.

TL;DR: The main advantages of the proposed approach in comparison with the traditional regression analysis are the ability to learn and improve the ANN architecture, and to solve nonlinear problems of the parameters’ identification for mathematical models by using data of the results of physical experiments and numerical simulations.

TL;DR: The main stages of creating a method for conducting a virtual experiment to determine the cutting force depending on the array of defining parameters obtained from experimental studies are outlined and it will make it possible to get recommendations for the formation of a valid route for crankpin machining.

TL;DR: The artificial neural network “Virtual Gene Developer” software is proposed for evaluating the operating parameters of the approximating curve “bearing stiffness – rotor speed” by the dataset of numerical simulation results in the abovementioned software.

TL;DR: The mathematical approach for determining the coordinates of contact points between the workpiece and the locating and clamping elements fixtures in the coordinate system is developed and successfully applied for such parts as levers, connecting rods, flat parts.