2021
DOI: 10.1051/e3sconf/202125801011
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Development of digital design and modelling approaches with preliminary estimation methods based on a digital twin

Abstract: Approaches to digital design and modeling are investigated. The methods for preliminary estimation of the parameters and structure of a product being created based on a digital twin are proposed. The principle of choosing the characteristics of replaceable modules for a designed object at the stage of research design is shown. The requirements of the nature, placement and application of the target payload were taken into account. It is shown that in research design based on a digital twin, the critical challen… Show more

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Cited by 1 publication
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“…In 2021, Farsi [3] et al proposed a new digital twin architecture, The architecture uses adaptive data structures and ontologies, automatically generate cost models from data information mined in the product lifecycle, The ability to estimate lifecycle costs at early stages, Improve the efficiency of product development. In 2021, St. Petersburg National Marine Technical University, Novikov [4] et al, proposed preliminary estimation methods for the creation of the parameters and structures of the products based on the digital twin, to identify the key challenge in the process is to jointly optimize the features and objects of all modules.…”
Section: Research Statusmentioning
confidence: 99%
“…In 2021, Farsi [3] et al proposed a new digital twin architecture, The architecture uses adaptive data structures and ontologies, automatically generate cost models from data information mined in the product lifecycle, The ability to estimate lifecycle costs at early stages, Improve the efficiency of product development. In 2021, St. Petersburg National Marine Technical University, Novikov [4] et al, proposed preliminary estimation methods for the creation of the parameters and structures of the products based on the digital twin, to identify the key challenge in the process is to jointly optimize the features and objects of all modules.…”
Section: Research Statusmentioning
confidence: 99%