ANN Approach to Predict the Flow Stress of CMn (Nb-Ti-V) Micro Alloyed Steel
The hot behaviour of micro-alloy steel CMn (Nb-Ti-V) was studied using hot compression tests in a wide range of temperatures (700 to 1050 °C, step 50 °C), deformation rates (0.000794, 0.0029 and 0.01436 s-1) and true deformation rates of 0 to 0.8. Based on experimental stress-deformation data, artif...
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| Format: | Article |
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Gruppo Italiano Frattura
2019-06-01
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| Series: | Fracture and Structural Integrity |
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| Online Access: | https://www.fracturae.com/index.php/fis/article/view/2434 |
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| author | Abdelhalim ALLAOUI Abdelmoumene GUEDRI Lamia DARSOUNI Abderrazek DARSOUNI |
| author_facet | Abdelhalim ALLAOUI Abdelmoumene GUEDRI Lamia DARSOUNI Abderrazek DARSOUNI |
| author_sort | Abdelhalim ALLAOUI |
| collection | DOAJ |
| description | The hot behaviour of micro-alloy steel CMn (Nb-Ti-V) was studied using hot compression tests in a wide range of temperatures (700 to 1050 °C, step 50 °C), deformation rates (0.000794, 0.0029 and 0.01436 s-1) and true deformation rates of 0 to 0.8. Based on experimental stress-deformation data, artificial neuron network (ANN) methods were used to predict flow stress CMn (Nb-Ti-V). The optimal ANN model was developed using Levenberg-Marquardt algorithm, and vas formed with two hidden layers with ten neurons in the first and ten neurons in the second. This model has been shown to be more effective in predicting flow stress and results can also be used in the mathematical simulation of hot metal formation processes. |
| format | Article |
| id | doaj-art-a9fa00f12d024292a46c2d09fa92113a |
| institution | Kabale University |
| issn | 1971-8993 |
| language | English |
| publishDate | 2019-06-01 |
| publisher | Gruppo Italiano Frattura |
| record_format | Article |
| series | Fracture and Structural Integrity |
| spelling | doaj-art-a9fa00f12d024292a46c2d09fa92113a2025-01-02T23:01:28ZengGruppo Italiano FratturaFracture and Structural Integrity1971-89932019-06-011349ANN Approach to Predict the Flow Stress of CMn (Nb-Ti-V) Micro Alloyed SteelAbdelhalim ALLAOUIAbdelmoumene GUEDRI0Lamia DARSOUNIAbderrazek DARSOUNIDepartment of Mechanical Engineering, INFRA-RES Laboratory, MCM-Souk-Ahras University, Souk-Ahras, AlgeriaThe hot behaviour of micro-alloy steel CMn (Nb-Ti-V) was studied using hot compression tests in a wide range of temperatures (700 to 1050 °C, step 50 °C), deformation rates (0.000794, 0.0029 and 0.01436 s-1) and true deformation rates of 0 to 0.8. Based on experimental stress-deformation data, artificial neuron network (ANN) methods were used to predict flow stress CMn (Nb-Ti-V). The optimal ANN model was developed using Levenberg-Marquardt algorithm, and vas formed with two hidden layers with ten neurons in the first and ten neurons in the second. This model has been shown to be more effective in predicting flow stress and results can also be used in the mathematical simulation of hot metal formation processes.https://www.fracturae.com/index.php/fis/article/view/2434Flow StressMicro Alloyed SteelArtificial Neural NetworkHot Compression Tests |
| spellingShingle | Abdelhalim ALLAOUI Abdelmoumene GUEDRI Lamia DARSOUNI Abderrazek DARSOUNI ANN Approach to Predict the Flow Stress of CMn (Nb-Ti-V) Micro Alloyed Steel Fracture and Structural Integrity Flow Stress Micro Alloyed Steel Artificial Neural Network Hot Compression Tests |
| title | ANN Approach to Predict the Flow Stress of CMn (Nb-Ti-V) Micro Alloyed Steel |
| title_full | ANN Approach to Predict the Flow Stress of CMn (Nb-Ti-V) Micro Alloyed Steel |
| title_fullStr | ANN Approach to Predict the Flow Stress of CMn (Nb-Ti-V) Micro Alloyed Steel |
| title_full_unstemmed | ANN Approach to Predict the Flow Stress of CMn (Nb-Ti-V) Micro Alloyed Steel |
| title_short | ANN Approach to Predict the Flow Stress of CMn (Nb-Ti-V) Micro Alloyed Steel |
| title_sort | ann approach to predict the flow stress of cmn nb ti v micro alloyed steel |
| topic | Flow Stress Micro Alloyed Steel Artificial Neural Network Hot Compression Tests |
| url | https://www.fracturae.com/index.php/fis/article/view/2434 |
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