Hybrid Methods for Analysis of Structure and Phase Transitions in Alloys under Arс Heating

Authors

  • Raisa Krektuleva
  • Roman Cherepanov
  • Evgenii Fedin

DOI:

https://doi.org/10.57118/creosar/978-1-915740-01-4_6

Keywords:

Data Mining, Hierarchical Agglomerative Clustering, Principal Components Analysis, Text Clustering

Abstract

The work solves the problem of comprehensive hybrid analysis of the state of the alloy material during machining by a moving electric arc heating source. The main stages of solving the problem include creating a numerical 3D model of thermophysical processes in the alloy material under the action of an electric arc, calculation of thermophysical characteristics of the alloy material and analysis of its state diagram, experimental validation of the calculated methodology. A special algorithm was developed to understand (data mining) the complex multi-cycle dynamics of thermal fields in a wide temperature range. This algorithm made it possible to record multiple cyclic states of the treated materials (heating - melting - evaporation - cooling - crystallization and formation of new phases) and to determine their geometry in the volume. At the last stage of the study, computer experiments were reproduced in reality. We obtained a good agreement between the calculated and in-situ experiments.

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Published

2022-11-24

How to Cite

Krektuleva, R., Cherepanov, R., & Fedin, E. (2022). Hybrid Methods for Analysis of Structure and Phase Transitions in Alloys under Arс Heating. Artificial Intelligence Impressions, 1, 115–134. https://doi.org/10.57118/creosar/978-1-915740-01-4_6