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Statistical analysis of stress-strain state of bearing jaw crusher
Author(s) -
Yuliya Lagunova,
Stanislav Anatol’evich Mayorov,
Gennadiy Alexeevich Boyarskih
Publication year - 2020
Publication title -
izvestiâ uralʹskogo gosudarstvennogo gornogo universiteta
Language(s) - English
Resource type - Journals
eISSN - 2500-2414
pISSN - 2307-2091
DOI - 10.21440/2307-2091-2020-2-159-171
Subject(s) - crusher , bearing (navigation) , computer science , finite element method , stress (linguistics) , range (aeronautics) , structural engineering , mechanical engineering , engineering , artificial intelligence , linguistics , philosophy , aerospace engineering
The relevance of the work. When creating particularly large machines and systems, in the case of their 3D modeling and detailed study, the load on the central processor of the computer, as well as on the graphic and RAM modules, increases, which significantly slows down the design process and calculations. In the article, a statistical analysis of the stress-strain state of the jaw crusher bearing is carried out to establish the correspondence of the theoretical and actual structural models taking into account all workloads. The objectives of the study. Consider the task of selecting a simpler and “easier” for the calculation model programs, not difficult to parameterize, compared with the original bearing model, but providing accuracy in the calculation in an acceptable range of errors. To analyze the stress-strain state of the bearing assembly with various geometric parameters. Research methodology. In the calculations, the finite element method was used. Used specialized software package APM WinMachine. A computational experiment was conducted. A correlation analysis of the theoretical and actual structural model of the bearing is carried out. Results. Mathematical models of the metal structures of bearings of various sections are given and the locations of the highest stresses are identified. Calculation errors and correlation dependencies of stresses are established taking into account the Pearson, Fisher criteria and the construction of the Taylor series. Conclusions. The results of a computational experiment satisfy the requirements and can be used to solve further problems of designing bearing assemblies. In the future, a parameter-dependent model can be created that makes it easier to calculate using any type of bearing

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