| Autor: |
Vadym Hornostai, Volodymyr Kukhar, Andrii Prysiazhnyi, Oleksandr Anishchenko, Ekaterina Kudinova, Maryna Korenko |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Materials Science Forum. 1045:237-245 |
| ISSN: |
1662-9752 |
| DOI: |
10.4028/www.scientific.net/msf.1045.237 |
| Popis: |
The problem urgency for determining the optimal rolling and heat treatment schedules for providing the required indices of heavy plates physical and mechanical properties is shown. The use of statistical mathematical models for solving this problem is substantiated and the methodology for their design is described. Statistical mathematical models were designed using the mathematical statistics methods and Data Mining tools to determine the yield strength, ultimate tensile strength and percent elongation for 10Mn2VNb steel plates rolled under 3600 heavy plate mill conditions. Software for the numerical implementation of these statistical mathematical models has been developed. Applied software has been developed for the numerical implementation of the statistical mathematical models for predicting the heavy plate’s mechanical properties, and high calculation accuracy has been confirmed with the ones help: 95.82% for the yield strength, 96.78% for the ultimate tensile strength, and 91.48% for the percent elongation. The regularities of the influence for finish rolling factual temperature in the finishing stand of 3600 heavy plate mill and the plate thickness on 10Mn2VNb pipe steel physical and mechanical properties were identified by processing the database and using the designed software. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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