The article compares the properties of multilayer composite wear-resistant coatings of Zr–ZrN–(Zr, Mo, Al)N, Ti–TiN–(Ti, Mo, Al)N, and Cr–CrN–(Cr, Mo, Al)N. The investigation was focused on hardness, resistance to fracture during scratch tests, elemental composition, and structure of the coatings. Experiments were carried out to study the wear resistance of coated carbide tools during the turning of 1045 steel and of NiCr20TiAl heat-resistant nickel alloy. With the elemental compositions identical in the content of molybdenum (Mo) and aluminium (Al), identical thicknesses and nanolayer periods of λ, the coatings being studied demonstrated a noticeable difference in wear resistance. Both during the turning of steel and nickel-based alloy, the highest wear resistance was detected for tools with the Zr–ZrN–(Zr, Mo, Al)N coating (the tool life was 3–5 times higher than for uncoated tools). The good wear resistance of the Zr–ZrN–(Zr, Mo, Al)N coating may be related to the optimal combination of hardness and plasticity and the active formation of molybdenum oxide (MoO₃) on the coating surface during the cutting, with good tribological and protective properties.

In today's digital world, saturated with data flows, universal multifunctional systems are developing, capable of solving various problems related to optimizing the use of available computing resources. A distinctive feature of such systems is the heterogeneity of incoming flows of user requests due to the multifunctionality of modern information systems, expressed in supporting various multimedia services on a single platform. Data heterogeneity and large volumes of data create many problems related to the speed of digital systems and data storage security. The solutions can be found in artificial intelligence (AI) technologies, particularly machine learning. Therefore, development and implementation of digital telecommunication complexes for storing, processing, and forming a dynamic flow of multiformat data using AI technologies are becoming more relevant. This paper aims to identify trends and prospects for developing these complexes, and develop proposals on their perspective characteristics. The authors focused on review the experience of Russian organizations developing multi-object analytics systems and analyze the technical and functional characteristics of existing systems. The result of the review and analysis is a table with a comparison of the technical characteristics of existing complexes and proposals for characteristics that are promising for further implementation.

Calculation of the forming tool for rib cold rolling by the enveloping method is usually complex and very time-consuming. The cold rolling process is not always optimized, resulting in a poor quality of the rolled rib profile and premature failure of the forming tool. Improvement in techniques of rib rolling on metal heat-exchange tubes is a challenging technological task, which has defined the purpose of the present work - the study of the effect of the forming tool for cold rolling of ribs by enveloping method on the accuracy of geometrical dimensions of ribbed surfaces. Absence of a well-developed calculation methodology for this type of tool now adversely affects the rate of manufacturing application of rib cold rolling processes. Since the main task when introducing the rib rolling process is to achieve the required accuracy of the work-piece, it seems expedient to improve calculation methodologies allowing designing a forming tool for rib cold rolling taking into account the required accuracy of geometrical dimensions of the ribbed surfaces. The present work proposes a methodology that allows performing calculations of parameters required for manufacturing and supervision over various rolling tools. Experimental approbation data of the outlined methodology results are presented. Because of deformation processing without additional technological operations, the effect of surface hardening has been achieved, and the roughness of rolled ribbed surfaces Ra was 0.8 mm, which is comparable in quality only with fi nishing machining. It was demonstrated that when calculating the coordinates of profile points, the geometry of the lead-in, as well as rolls with a screw rib, it is particularly important to determine the angle of crush forming rolls and the y-coordinate of rolling bars as the main characteristics of the profile.

The modern production process is a complex cyber-physical system, consisting of interconnected devices for various purposes, designed to manufacture the required products. The creation of intelligent (smart, automated) production requires a deep understanding of the content of this process in order to study the composition and depth of the design and technological decisions that are necessary to build this type of production process. The article discusses the basic essence of the production process and its result - the manufactured product, in the general case, as a set of various types of relations. The interdependence of the relations between the product and the relations of the production process is noted, the type of these relations is specified. The functions that implement the corresponding relations are analyzed, the features of formalization and automation of the process of making design and technological decisions are noted.

The article presents the research results of technological parameters of composite material products manufacturing by the injection transfer molding method using automated tools of preproduction engineering. For the verification of computer simulation results, experimental studies have been carried out on the injection-molding machine for products from fibrous polymer composite materials. The conducted comparative analysis of calculated and actual values of impregnation technological parameters has led us to the conclusion that for the effective application of the modern software for preproduction engineering of composite products it may be necessary to make a joint correction of the input data used for the calculation obtained from the preliminary independent experimental research of the complex of properties for each used component of the composite material. For the joint correction of the input data used for the calculation and improvement of the efficiency of automation systems for preproduction engineering of composite products, the concept of the neural simulation tools application for the technological process of composite products manufacturing by injection molding methods has been proposed. For training and testing of the neural model, experimental studies of the impregnation of the products with the surface curvature of the second order have been conducted. The optimization problem was solved by forecasting the front movement of the technical fluid in the volume of preforms during transfer molding.