J. Mater. Sci. Technol. ›› 2022, Vol. 107: 207-215.DOI: 10.1016/j.jmst.2021.07.038
• Research Article • Previous Articles Next Articles
Xiaoxiao Genga,b, Xinping Maoa, Hong-Hui Wua, Shuize Wanga, Weihua Xuec, Guanzhen Zhangd, Asad Ullahe, Hao Wangb,*()
Received:
2021-04-29
Revised:
2021-04-29
Accepted:
2021-04-29
Published:
2022-04-30
Online:
2022-04-28
Contact:
Hao Wang
About author:
* E-mail address: hwang@ustb.edu.cn (H. Wang).Xiaoxiao Geng, Xinping Mao, Hong-Hui Wu, Shuize Wang, Weihua Xue, Guanzhen Zhang, Asad Ullah, Hao Wang. A hybrid machine learning model for predicting continuous cooling transformation diagrams in welding heat-affected zone of low alloy steels[J]. J. Mater. Sci. Technol., 2022, 107: 207-215.
Fig. 3. CC, MAE and RMSE values of the five models and the performance of the best model for A-steels. (a) FS; (b) PS; (c) PF; (d) BS; (e) MS; (f) Hardness.
Steel | FS | PS | PF | BS | MS | Hardness |
---|---|---|---|---|---|---|
#1 | 0.9928/20.3/25.4 | 0.9877/10.8/13.2 | 0.9826/19.7/23.9 | 0.9762/15.6/18.5 | 0.9108/23.2/30.2 | 0.9909/9.3/11.7 |
#2 | 0.9936/21.6/22.9 | 0.9894/12.9/16.4 | 0.9694/13.1/18.8 | 0.9549/10.6/14.5 | 0.9516/24.3/31.3 | 0.994/18.7/20.4 |
#3 | 0.9923/15.1/19.1 | 0.9907/7.2/8.5 | 0.9867/13.7/22.4 | 0.9051/14.6/17.3 | 0.9182/14.6/19.8 | 0.9955/6.7/8.6 |
#4 | 0.9819/19.3/22.2 | 0.9736/9.1/9.7 | 0 | 0.9834/4.1/5.6 | -0.1069/10.7/13.0 | 0.9906/14.8/16.4 |
#5 | 0.9491/21.4/23.7 | 0.6906/14.0/15.3 | 0 | 0.58/18.6/22.3 | 0.9409/19.4/21.4 | 0.9483/25.1/27.3 |
#6 | 0.9859/23.2/25.1 | 0.9444/9.7/11.6 | 0 | 0.8969/5.8/7.3 | 0.8557/22.7/23.7 | 0.9702/16.9/20.2 |
Table 1 The CC/MAE/RMSE of the ML model on test set.
Steel | FS | PS | PF | BS | MS | Hardness |
---|---|---|---|---|---|---|
#1 | 0.9928/20.3/25.4 | 0.9877/10.8/13.2 | 0.9826/19.7/23.9 | 0.9762/15.6/18.5 | 0.9108/23.2/30.2 | 0.9909/9.3/11.7 |
#2 | 0.9936/21.6/22.9 | 0.9894/12.9/16.4 | 0.9694/13.1/18.8 | 0.9549/10.6/14.5 | 0.9516/24.3/31.3 | 0.994/18.7/20.4 |
#3 | 0.9923/15.1/19.1 | 0.9907/7.2/8.5 | 0.9867/13.7/22.4 | 0.9051/14.6/17.3 | 0.9182/14.6/19.8 | 0.9955/6.7/8.6 |
#4 | 0.9819/19.3/22.2 | 0.9736/9.1/9.7 | 0 | 0.9834/4.1/5.6 | -0.1069/10.7/13.0 | 0.9906/14.8/16.4 |
#5 | 0.9491/21.4/23.7 | 0.6906/14.0/15.3 | 0 | 0.58/18.6/22.3 | 0.9409/19.4/21.4 | 0.9483/25.1/27.3 |
#6 | 0.9859/23.2/25.1 | 0.9444/9.7/11.6 | 0 | 0.8969/5.8/7.3 | 0.8557/22.7/23.7 | 0.9702/16.9/20.2 |
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