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A Data-Driven Approach to the Prediction of Spheroidal Graphite Cast Iron Yield Surface Probability Characteristics

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Integrated Computer Technologies in Mechanical Engineering - 2020 (ICTM 2020)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 188))

Abstract

This work is aimed at studying material with a heterogeneous microstructure. The probabilistic characteristics of the yield surface are investigated. Statistically equivalent internal material structures are generated using computer simulations. The design takes into account the different amounts of spheroidal graphite inclusions concentration in the ferrite material. The stress state is calculated by the finite element method based on plane models. A series of experiments is calculated for each variant of the concentration of inclusions. The yield surfaces are determined. Based on the collected data, a study of the probabilistic characteristics of a random function is carried out. The radius function acts as a random variable. The number of intersections of the line with the yield surfaces is analyzed. The radii are constructed from the origin for each rotation angle along the closed circle. The proposed scheme takes into account the different behavior of composite materials under tensile and compressive loads. The probabilistic characteristics of the investigated quantity give a vision of the material operation modes at various loads. Going beyond the plasticity surface indicates the possibility of a product transition into a plastic state.

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Acknowledgment

This work has been supported by the Ministry of Education and Science of Ukraine in the framework of the realization of the research project «Development of methods for mathematical modeling of the behavior of new and composite materials aims to structural elements lifetime estimation and prediction of engineering designs reliability» (State Reg. Num. 0117U004969).

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Authors and Affiliations

  1. National Technical University “Kharkiv Polytechnic Institute”, 2 Kyrpychova Street, Kharkiv, 61002, Ukraine

    Mariya Shapovalova & Oleksii Vodka

Authors
  1. Mariya Shapovalova
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  2. Oleksii Vodka
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Corresponding author

Correspondence to Mariya Shapovalova .

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Editors and Affiliations

  1. National Aerospace University “Kharkiv Aviation Institute”, Kharkov, Ukraine

    Mykola Nechyporuk

  2. National Aerospace University “Kharkiv Aviation Institute”, Kharkov, Ukraine

    Vladimir Pavlikov

  3. National Aerospace University “Kharkiv Aviation Institute”, Kharkov, Ukraine

    Dmitriy Kritskiy

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Shapovalova, M., Vodka, O. (2021). A Data-Driven Approach to the Prediction of Spheroidal Graphite Cast Iron Yield Surface Probability Characteristics. In: Nechyporuk, M., Pavlikov, V., Kritskiy, D. (eds) Integrated Computer Technologies in Mechanical Engineering - 2020. ICTM 2020. Lecture Notes in Networks and Systems, vol 188. Springer, Cham. https://doi.org/10.1007/978-3-030-66717-7_48

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  • DOI: https://doi.org/10.1007/978-3-030-66717-7_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-66716-0

  • Online ISBN: 978-3-030-66717-7

  • eBook Packages: EngineeringEngineering (R0)

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