Neural network-based intrinsic structure relationship of TC20 titanium alloy for medical applications
Isothermal constant strain rate compression experiments were carried out on TC20 titanium alloy using a Gleeble- 1500 thermal simulation tester to investigate its high temperature flow behaviour at deformation temperatures of 750 - 900 °C and strain rates of 0,001 - 1 s<sup>-1</sup>. The...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Croatian Metallurgical Society
2024-01-01
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| Series: | Metalurgija |
| Subjects: | |
| Online Access: | https://hrcak.srce.hr/file/443757 |
| _version_ | 1827861653524316160 |
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| author | Z. Y. Xuan J. L. Miao |
| author_facet | Z. Y. Xuan J. L. Miao |
| author_sort | Z. Y. Xuan |
| collection | DOAJ |
| description | Isothermal constant strain rate compression experiments were carried out on TC20 titanium alloy using a Gleeble- 1500 thermal simulation tester to investigate its high temperature flow behaviour at deformation temperatures of 750 - 900 °C and strain rates of 0,001 - 1 s<sup>-1</sup>. The results show that the flow stress basically decreases with increasing deformation temperature and increases with increasing strain rate. The correlation coefficients and mean relative errors were 0,998 and 5,06 % respectively, proving that the BP neural network-based intrinsic structure model is effective in predicting the flow stress of the alloy. |
| first_indexed | 2024-03-12T13:42:36Z |
| format | Article |
| id | doaj.art-daa1482457a94a71abe45d17eb1dad2b |
| institution | Directory Open Access Journal |
| issn | 0543-5846 1334-2576 |
| language | English |
| last_indexed | 2024-03-12T13:42:36Z |
| publishDate | 2024-01-01 |
| publisher | Croatian Metallurgical Society |
| record_format | Article |
| series | Metalurgija |
| spelling | doaj.art-daa1482457a94a71abe45d17eb1dad2b2023-08-23T14:55:28ZengCroatian Metallurgical SocietyMetalurgija0543-58461334-25762024-01-016316568Neural network-based intrinsic structure relationship of TC20 titanium alloy for medical applicationsZ. Y. Xuan0J. L. Miao1College of Mechanical Engineering, North China University of Science and Technology, Hebei, Tangshan, ChinaCollege of Mechanical Engineering, North China University of Science and Technology, Hebei, Tangshan, ChinaIsothermal constant strain rate compression experiments were carried out on TC20 titanium alloy using a Gleeble- 1500 thermal simulation tester to investigate its high temperature flow behaviour at deformation temperatures of 750 - 900 °C and strain rates of 0,001 - 1 s<sup>-1</sup>. The results show that the flow stress basically decreases with increasing deformation temperature and increases with increasing strain rate. The correlation coefficients and mean relative errors were 0,998 and 5,06 % respectively, proving that the BP neural network-based intrinsic structure model is effective in predicting the flow stress of the alloy.https://hrcak.srce.hr/file/443757TC20 titanium alloyhot compressionstress-strain curveconstitutive modelBP neural networks |
| spellingShingle | Z. Y. Xuan J. L. Miao Neural network-based intrinsic structure relationship of TC20 titanium alloy for medical applications Metalurgija TC20 titanium alloy hot compression stress-strain curve constitutive model BP neural networks |
| title | Neural network-based intrinsic structure relationship of TC20 titanium alloy for medical applications |
| title_full | Neural network-based intrinsic structure relationship of TC20 titanium alloy for medical applications |
| title_fullStr | Neural network-based intrinsic structure relationship of TC20 titanium alloy for medical applications |
| title_full_unstemmed | Neural network-based intrinsic structure relationship of TC20 titanium alloy for medical applications |
| title_short | Neural network-based intrinsic structure relationship of TC20 titanium alloy for medical applications |
| title_sort | neural network based intrinsic structure relationship of tc20 titanium alloy for medical applications |
| topic | TC20 titanium alloy hot compression stress-strain curve constitutive model BP neural networks |
| url | https://hrcak.srce.hr/file/443757 |
| work_keys_str_mv | AT zyxuan neuralnetworkbasedintrinsicstructurerelationshipoftc20titaniumalloyformedicalapplications AT jlmiao neuralnetworkbasedintrinsicstructurerelationshipoftc20titaniumalloyformedicalapplications |