International Scientific Journals
of Scientific Technical Union of Mechanical Engineering "Industry 4.0"

Artificial intelligence become more widespread in all manufacturing subjects. In manufacturing artificial intelligence deals with such tasks as quality control, robot navigation, computer vision, processes controlling, etc. The area of maintenance in machining is a great prospect for implementing artificial intelligence tools for analysis, prediction of monitored parameters, optimization, and improvement of the quality of the maintenance process. In particular, the article refers to predictive maintenance as a modern trend in mechanical engineering. In this article, a quick review of using methods of artificial intelligence and predictive analytics in maintenance and one p ractical implementation case of NAR network for time-series prediction was provided.

The article presents the methodology for the CAD/CAE/CAM end-to-end design of the impeller of a submersible centrifugal pump for leaching of uranium. The design efforts at the CAD stage are presented, the principle of the functioning of the automated module for designing the profile of the meridian section and the wheel blades created in the MATLAB environment is described. The algorithm for drawing the profile of the blade is proposed. A method for constructing an optimized profile of a centrifugal pump (CP) wheel blade with double curvature is delineated. The computational mechanical scheme for determining the stresses and strength of a designed wheel with double curvature blades is shown. The results of the CAE strength calculation of the designed wheel in the NASTRAN program are provided. The experience of using CAM systems and 3D printing technology to create a centrifugal impeller prototype is given in the article.

A new methodology for taking into account of the cargo pendulum angle change at minimum operating radius of the gantry cranes level luffing jib systems is proposed. The impact of this change in electric motor power calculating has been studied. An optimization mathematical model that takes into account this change and the impact of node displacements on the design of the gantry cranes level luffing jib systems is built. Parameters, optimization criteria and their boundaries are determined. Optimization of the construction taking into account these factors was made using the Pareto optimization procedure and the results were compared with previous studies.

A new construction of the gantry cranes level luffing jib system has been proposed. Its important operating characteristics has been studied. An optimization mathematical model of these structure is built. The parameters, optimization criteria and their limitations are defined. The optimization of construction is done using the Pareto optimization procedure in MATLAB. All parts and assembled units of the gantry cranes level luffing jib system have undergone optimization in practice. The results of the optimization study of the new design are compared with those of the traditional structure.

This article proposes an approach to generate a work area of a three-axis delta robot in programming environment of MATLAB.