Journal
MATERIALS SCIENCE AND TECHNOLOGY
Volume 34, Issue 9, Pages 1046-1063Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/02670836.2017.1418476
Keywords
Microstructure; neural network; ductility; pearlite; cementite dissolution
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Ductility in drawn pearlitic steels' wire is dependent on microstructural features, carbon concentration, transformation temperature and strain. An extensive literature review is performed and investigated that there are conflicting results about the effect of interlamellar spacing, pearlite colony size and prior-austenitic grain size on the toughness of these steels. This may be attributed to the differences in compositions, heat treatment, drawing conditions, the methodology applied for measuring microstructural entities and inaccuracy in measurements. Currently, a neural network model is created to correlate the complex relationship between tensile ductility with its influencing parameters in a variety of cold drawn pearlitic steels. The model has been applied to confirm that the calculations are reasonable in the context of metallurgical theories and other data published in the literature.
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