| 摘要: |
| 表面硬度是盾构滚刀的重要参数,直接影响到刀具的使用寿命、工程效率和施工成本,鲜有研究运用相似工况下的数据进行显微硬度的预测。 以盾构滚刀特种钢为对象,分别对经锻造且球化退火处理的工件(普通工件)以及再经调质处理后的工件(调质工件)进行激光表面淬火,提出一种基于近似工况映射模型的硬化效果预测方法。 首先,测量普通工件和调质工件在激光表面淬火后的显微硬度,分别确定其高硬度区的特征参数(深度、宽度)。 然后,建立激光工艺参数与普通工件高硬度区特征参数之间的 Kriging 模型,并采用最小二乘法和残差拟合补偿,建立激光工艺参数关于调质工件高硬度区特征参数的映射模型。 最后,采用留一法对该映射模型的预测精度进行验证。 结果表明,该映射模型实现了显微硬度的有效预测,相比基于单一工况数据的近似模型,具有较好的预测精度。 所提出的映射模型可充分运用两种相似工况下的先验数据,从而进行有效的数据预测。 |
| 关键词: 映射模型 激光表面淬火 复合工艺 硬化 预测 |
| DOI：10.11933/j.issn.1007-9289.20210420001 |
| 分类号:TG174.44 |
| 基金项目:国家自然科学基金国际(地区)合作与交流 (51861165202)、国家自然科学基金 (51575211)和吉林省自然科学基金 (20180101058JC)资助项目 |
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| Hardening Prediction of Quenching and Tempering-laser Surface Quenching Hybrid Process on Shield Disc Cutter Using a Mapping Model for Similar Working Condition |
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WU Jianzhao1, REN Yaping2, GUO Hongfei2, ZHANG Chaoyong1, CHENG Hongwu1, TANG Limei3
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1.State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074 , China;2.School of Intelligent Systems Science and Engineering, Jinan University, Zhuhai 519070 , China;3.Wuhan HL Engineering Tool Co., Ltd, Wuhan 430074 , China
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| Abstract: |
| Surface hardness is an important parameter of shield disc cutter, which will directly affect the service life of the tool, engineering efficiency and construction cost. Few studies have used data from similar working conditions for microhardness prediction. Taking special steel for shield disc cutter as an example, laser surface quenching ( LSQ) is performed on forged and spheroidized annealed workpiece ( non-treated workpiece) , quenched and tempered workpiece respectively. A hardening effect prediction method based on a mapping model for similar working condition is proposed. First, measure the micro-hardness of two types of workpieces after laser surface quenching to determine the characteristic parameters ( depth, width) of the high-hardness zone. The Kriging model between the laser process parameters and the high-hardness zone characteristic parameters of the non-treated workpiece is established. Then, the mapping model of the laser process parameters on the high-hardness zone characteristic parameters of quenched and tempered workpiece is established using the least squares method and residual error fitting compensation. Finally, the leave-one-out method is used to verify the prediction accuracy of the mapping model. The results show that the mapping model achieves effective prediction on micro-hardness and has better predictions compared with the approximate model based on single working condition data. The proposed mapping model can make full use of the prior data of two similar working conditions to achieve effective prediction. |
| Key words: mapping model laser surface quenching hybrid process hardening prediction |
