基于机器学习的中厚板变形抗力模型建模与应用
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冀秀梅, 侯美伶, 王龙, 刘玠, 高克伟
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Modeling and Application of Deformation Resistance Model for Medium and Heavy Plate Based on Machine Learning
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JI Xiumei, HOU Meiling, WANG Long, LIU Jie, GAO Kewei
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表1 试样化学成分 (mass fraction / %)
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Table 1 Chemical composition of samples
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Steel | C | Si | Mn | P | S | Cu | Ni | Cr |
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A | 0.03-0.06 | 0.2-0.3 | 1.5-1.6 | ≤ 0.012 | ≤ 0.002 | ≤ 0.15 | 0.12-0.16 | 0.1-0.2 | B | 0.14-0.15 | ≤ 0.1 | 0.5-0.6 | ≤ 0.006 | ≤ 0.002 | ≤ 0.15 | 0.14-0.18 | 2.3-2.5 | C | 0.38-0.42 | 0.2-0.4 | 1.4-1.6 | ≤ 0.015 | ≤ 0.005 | ≤ 0.25 | ≤ 0.3 | 1.8-2.0 | Steel | V | Al | Ti | Mo | N | Nb | B | Fe | A | ≤ 0.01 | 0.025-0.045 | 0.01-0.02 | 0.12-0.15 | ≤ 0.005 | 0.042-0.05 | ≤ 0.0005 | Bal. | B | ≤ 0.03 | 0.02-0.045 | 0.01-0.02 | 0.95-1.1 | ≤ 0.0002 | 0.015-0.2 | ≤ 0.001 | Bal. | C | 0 | 0.02-0.04 | 0 | 0.18-0.25 | 0 | 0 | 0 | Bal. |
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