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This article examines the current issues of the development of digital counterparts of mechanical engineering products in the context of advanced manufacturing technologies, with special emphasis on the use of specialized software for processing scanned external surfaces of physical objects. The research presented in this paper is aimed at identifying the key factors affecting the complexity of creating digital counterparts of mechanical engineering products. As part of the work, techniques have been developed to increase the accuracy of creating digital counterparts of physical objects with damaged or worn work surfaces. The article provides real-world examples of the use of software tools to solve practical problems related to the creation of digital twins. A detailed analysis of the factors influencing the complexity and labor intensity of the work is carried out, with an emphasis on the influence of the modes of software processing of polygonal models of scans of parts and their impact on the accuracy of 3D modeling. The results of the study have a wide range of practical applications in various industries, including mechanical engineering, automotive, tractor construction, information technology and others. The data obtained allows us to optimize the processes of creating digital twins, increasing the quality and efficiency of work. The paper also highlights the impact of software and work organization on the qual ity of digital counterparts of machine parts being developed. The study allows us to deter mine the optimal approaches to software selection, workflow optimization and resource management, which ultimately helps to reduce the complexity and increase the accuracy of creating digital twins. It is important to note that the development of digital twins is a com plex process that requires an integrated approach. It is necessary to take into account many factors, ranging from the type of object being scanned and its condition, ending with the functionality of the software and the qualifications of specialists. The application of the developed techniques will improve the accuracy and speed of creating digital twins, which in turn will lead to a reduction in the development and implementation of new products, as well as increase the efficiency of production processes.
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Nefelov et al. (2024) studied this question.
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