The article outlines the basic principles of using computer simulation to optimize processes in the design, modernization and production of equipment (including pre-production). Computer modeling is used as a tool for implementing methods for calculating critical states of equipment under certain operating conditions. The article discusses two approaches to optimizing the technical and economic performance of equipment. The first is to change the structural composition of the equipment, including the composition of the equipment and parts used, the methods for preparing them for use as part of assembly units (methods for preparing surfaces, determining the conditions for their interface, etc.). The second is in determining the optimal technological features of equipment manufacturing and its further operation. It should be noted that the article contains solutions accumulated during the implementation of several projects, both on the examples of prototypes and on examples of serially produced equipment. Equipment manufactured for the needs of companies - operators of pipeline systems, as well as their service organizations, was taken as modeling objects. In addition, the article discusses the basic principles for assessing the possibility of operating equipment in conditions established by manufacturers, as well as in conditions that do not correspond to those declared. The main goal of the ongoing research is to develop a methodological approach that allows to form the principles of equipment reliability management, while minimizing its cost, as well as the timing of its manufacture. Thanks to the development of the IT sphere, which made it possible to expand the scope of numerical methods and techniques for constructing mathematical models, it became possible to use them in solving engineering problems, including those requiring obtaining results with a low error of calculation methods. All materials presented in the article were obtained using numerical simulation methods of dynamic (explicit and implicit) analysis, as well as linear and nonlinear methods of static solution.
References
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