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用BP人工神经网络、正交多项式回归分析及材料微观分析方法研究了热处理工艺对H13钢硬度的影响。结果表明,BP网络能根据淬火及回火温度精确预测H13钢热处理后的硬度。BP网络及正交多项式回归模型,均能用于研究淬火及回火温度对硬度的影响规律。模型研究结果表明,H13钢热处理时,淬火温度、第一次及第二次回火温度对硬度的影响显著,显著性水平为0.01。经980～1100℃淬火及540～620℃二次回火,H13钢的硬度在40～57 HRC范围;在给定的淬火温度下,随回火温度的提高硬度急剧降低,第二次回火温度比第一次回火温度对硬度的影响更大;在给定的回火温度下,淬火温度的增加使二次回火硬度增加约4 HRC;在1040℃淬火时,达到50～53 HRC硬度的回火温度区间最大;随淬火温度的提高,达到40～49 HRC硬度的回火温度区间减小。
The effects of heat treatment on the hardness of H13 steel were studied by BP artificial neural network, orthogonal polynomial regression analysis and material microscopic analysis. The results show that BP network can accurately predict the hardness of H13 steel after heat treatment according to the quenching and tempering temperature. BP network and orthogonal polynomial regression model can be used to study the quenching and tempering temperature on the hardness of the law. The results of the model study show that the quenching temperature, the first and second tempering temperature have a significant effect on the hardness of H13 steel when the heat treatment, the significance level is 0.01. After quenching at 980 ~ 1100 ℃ and secondary tempering at 540 ~ 620 ℃, the hardness of H13 steel is in the range of 40 ~ 57 HRC. At a given quenching temperature, the hardness decreases sharply with the increase of tempering temperature. The second tempering temperature ratio The first tempering temperature has a greater effect on hardness; at a given tempering temperature, an increase in quench temperature increases the secondary temper hardness by about 4 HRC; at 1040 ° C quenching, it reaches a hardness of 50-53 HRC With the increase of quenching temperature, the tempering temperature range of 40 ~ 49 HRC decreases.