The article states that the use of composite materials instead of traditional materials allows you to significantly reduce the weight of the product, while not changing the strength characteristics of this material. It was determined that polymer composite materials based on metal powders, high-strength organic (aramid) and carbon fiber fillers with a polymer matrix are promising for use as structural materials. Fillers are used to improve the operational properties of the composite material (strength, stiffness, heat resistance), give them various specific properties and reduce the cost. The classification of polymer composite materials by matrix and filler is presented. It is noted that the greatest variety of properties can be obtained using solid fillers of different nature (metals, ceramics, polymers) and structures. It has been established that both the type of filler and the shape and size of the particles are important when forming certain properties of polymer composite materials. It was determined that composite materials are used in additive technologies, in particular in 3D printing. Examples of the production of composite filaments by various companies, including various types of fillers, are given. The developed technology of printing with a mixture of polymer connector and filler using a 3D printer, which includes certain stages, is presented. Polymer materials and solid fillers of various nature were selected as the matrix for experimental research and their properties were described. The classification of equipment for forced mixing of materials is described. The developed extruder that prints with granules or composite mixtures of polymer materials and the 3D printer on which it is installed are presented. Composite mixtures for conducting experimental studies are given. The parameters of the printed samples to be examined are specified.

It is established that one of the most promising areas of development of modern engineering is the development of new technologies for rapid production (rapid manufacturing), the essence of which is the layered design of powder products based on CAD model, ie model whose three-dimensional geometry is described digitally by using solid modeling programs (AutoCAD, SolidWorks, Compas-3D, CATIA, ProE, etc.). The main advantages of using additive technologies, including 3D printing with filaments containing metals. The types of 3D printers that print metal are considered. The use of metal powders in 3D printing technologies is described. The main characteristics and properties of such metals, TI titanium, stainless steel SS, aluminum Al, copper Cu, FE iron and alloys based on them can be used as materials or additives in additive technologies. The advantages of their use over traditional technologies (casting, rolling, etc.) are described. The scheme of technological process of manufacturing products of industry mechanical engineering by a 3D printing with a high metal content is given. Each of the stages of the technological process is considered and described. Stainless steel metal powder was selected for the manufacture of filament and its chemical composition is investigated. Experimental studies have been conducted to determine the mechanical, thermophysical and rheological characteristics of polymeric materials used for the manufacture of 3D prints. On the basis of the studies, it is proposed to use Plastic powder as a connecting element in the filament. The design of the auger for supplying the material of the extrusion machine is designed and manufactured. The form of the extrusion head is developed and selected, which sets the diameter of the filament being made. A 3D printer for printing products and parts with a high metal content was selected and improved. Experimental studies of the wear of the 3D printer’s extruder nozzle on contact with the abrasive thread.

A typical approach for building and analyzing an object model is presented. It is determined that the tasks of analysis of nonlinear systems consist of: calculation of transients and established processes; determination of static and dynamic stability of the found processes; calculation of the sensitivity of the initial characteristics of the system to changes in its internal and external parameters. It is established that the efficiency of the analysis as a whole is determined not only by the efficiency of the algorithms of each of the stages of calculation, but also by the consistency of the mathematical apparatus that underlies them. It is determined that the calculation of transients is reduced to a problem with initial conditions in which the values of dependent variables are set for the same value of the independent variable, namely time. It is determined that nonlinear dynamic systems whose models are built on the qualitative theory of general differential equations are the main tool for solving many practical problems. It is established that this is explained by the following factors: the presence of a well-developed analytical apparatus and numerous methods of solving general differential equations; transparency and naturalness of general differential equations as a mathematical model to describe the process of transition of real objects from one state to another for external and internal causes; The availability of public qualitative methods of studying decisions of general differential equations, in particular methods of evaluation of stability, analysis of behavior within special points and their asymptotic behavior. The circumstances that lead to the fact that the systems described by conventional differential equations are a methodically very convenient material to create general algorithms for the study of dynamic systems. A mathematical model of sensitivity to the initial conditions is constructed on the basis of heterogeneous differential equations of the first variation, which opens up opportunities for solving the basic problems of analysis, which are: calculation of transitional processes and processes that have been established; Determination of static stability and calculation of parametric sensitivity, on the basis of a single algorithm for solving a two-point T-periodic marginal problem for conventional nonlinear differential equations.