Study of flow stress in Mg-Gd-Y-Nd-Zr alloys based on IWOA-BPNN model
This study investigates the compression deformation behavior of an Mg-Gd-Y-Nd-Zr alloy at temperatures ranging from 293 K to 573 K and strain rates ranging from 293K to 573K and strain rates ranging from 1000 s−1 to 2100 s−1 using a split Hopkinson pressure bar. A modified Johnson-Cook (JC) constitu...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-05-01
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| Series: | Journal of Materials Research and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S223878542400807X |
| _version_ | 1797214899536920576 |
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| author | Haoze Qin Shuang Kang Wanru Tang Zheng Liu |
| author_facet | Haoze Qin Shuang Kang Wanru Tang Zheng Liu |
| author_sort | Haoze Qin |
| collection | DOAJ |
| description | This study investigates the compression deformation behavior of an Mg-Gd-Y-Nd-Zr alloy at temperatures ranging from 293 K to 573 K and strain rates ranging from 293K to 573K and strain rates ranging from 1000 s−1 to 2100 s−1 using a split Hopkinson pressure bar. A modified Johnson-Cook (JC) constitutive model and a backpropagation neural network (BPNN) model based on the improved whale optimization algorithm (IWOA) are established. Four statistical metrics, including correlation coefficient (R), mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE), are employed to evaluate the predictive accuracy of the two models. The findings indicate that the flow stress of the alloy is sensitive to strain, strain rate, and temperature. Increasing strain and strain rate or decreasing deformation temperature results in higher flow stress. Error calculations revealed that the modified Johnson-Cook constitutive model has an R of 0.98731, a MAPE of 7.3653%, a MAE of 19.6305 MPa, and a RMSE of 26.5704 MPa. In contrast, the model established using the IWOA-BPNN has an R of 0.99996, a MAPE of 0.58894%, a MAE of 1.2671 MPa, and a RMSE of 1.7709 MPa. The IWOA-BPNN model demonstrates higher accuracy and accurately predicts the flow stress of the alloy. |
| first_indexed | 2024-04-24T11:21:30Z |
| format | Article |
| id | doaj.art-7f98c941ffa64b0bb164065e794ce413 |
| institution | Directory Open Access Journal |
| issn | 2238-7854 |
| language | English |
| last_indexed | 2024-04-24T11:21:30Z |
| publishDate | 2024-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Materials Research and Technology |
| spelling | doaj.art-7f98c941ffa64b0bb164065e794ce4132024-04-11T04:41:21ZengElsevierJournal of Materials Research and Technology2238-78542024-05-013028482857Study of flow stress in Mg-Gd-Y-Nd-Zr alloys based on IWOA-BPNN modelHaoze Qin0Shuang Kang1Wanru Tang2Zheng Liu3School of Information and Control Engineering, Jilin Institute of Chemical Technology, 132022, PR ChinaSchool of Mechanical and Control Engineering, Baicheng Normal University, 137000, PR ChinaSchool of Mechanical and Control Engineering, Baicheng Normal University, 137000, PR China; Corresponding author.School of Materials Science and Engineering, Shenyang University of Technology, 110870, PR ChinaThis study investigates the compression deformation behavior of an Mg-Gd-Y-Nd-Zr alloy at temperatures ranging from 293 K to 573 K and strain rates ranging from 293K to 573K and strain rates ranging from 1000 s−1 to 2100 s−1 using a split Hopkinson pressure bar. A modified Johnson-Cook (JC) constitutive model and a backpropagation neural network (BPNN) model based on the improved whale optimization algorithm (IWOA) are established. Four statistical metrics, including correlation coefficient (R), mean absolute error (MAE), mean absolute percentage error (MAPE), and root mean square error (RMSE), are employed to evaluate the predictive accuracy of the two models. The findings indicate that the flow stress of the alloy is sensitive to strain, strain rate, and temperature. Increasing strain and strain rate or decreasing deformation temperature results in higher flow stress. Error calculations revealed that the modified Johnson-Cook constitutive model has an R of 0.98731, a MAPE of 7.3653%, a MAE of 19.6305 MPa, and a RMSE of 26.5704 MPa. In contrast, the model established using the IWOA-BPNN has an R of 0.99996, a MAPE of 0.58894%, a MAE of 1.2671 MPa, and a RMSE of 1.7709 MPa. The IWOA-BPNN model demonstrates higher accuracy and accurately predicts the flow stress of the alloy.http://www.sciencedirect.com/science/article/pii/S223878542400807XHot compressionFlow stressJohnson-cook modelIWOA-BPNN model |
| spellingShingle | Haoze Qin Shuang Kang Wanru Tang Zheng Liu Study of flow stress in Mg-Gd-Y-Nd-Zr alloys based on IWOA-BPNN model Journal of Materials Research and Technology Hot compression Flow stress Johnson-cook model IWOA-BPNN model |
| title | Study of flow stress in Mg-Gd-Y-Nd-Zr alloys based on IWOA-BPNN model |
| title_full | Study of flow stress in Mg-Gd-Y-Nd-Zr alloys based on IWOA-BPNN model |
| title_fullStr | Study of flow stress in Mg-Gd-Y-Nd-Zr alloys based on IWOA-BPNN model |
| title_full_unstemmed | Study of flow stress in Mg-Gd-Y-Nd-Zr alloys based on IWOA-BPNN model |
| title_short | Study of flow stress in Mg-Gd-Y-Nd-Zr alloys based on IWOA-BPNN model |
| title_sort | study of flow stress in mg gd y nd zr alloys based on iwoa bpnn model |
| topic | Hot compression Flow stress Johnson-cook model IWOA-BPNN model |
| url | http://www.sciencedirect.com/science/article/pii/S223878542400807X |
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