• CN:11-2187/TH
  • ISSN:0577-6686

›› 2007, Vol. 43 ›› Issue (1): 110-115.

• 论文 • 上一篇    下一篇

气体淬火工艺参数多目标优化方法

李辉平;赵国群;黄传真;牛山廷   

  1. 山东大学材料科学与工程学院;山东大学机械工程学院
  • 发布日期:2007-01-15

MULTI-OBJECTIVE OPTIMIZATION OF TECHNOLOGICAL PARAMETERS DURING THE GAS QUENCHING PROCESS

LI Huiping;ZHAO Guoqun;HUANG Chuanzhen;NIU Shanting   

  1. School of Materials Science and Engineering, Shandong University School of Mechanical Engineering, Shandong University
  • Published:2007-01-15

摘要: 以平面应变问题气体淬火过程为研究对象,提出区域表面传热系数模型,根据此模型选择5个设计量进行5因子5水平中心复合试验设计。将设计的变量代入自行开发的淬火过程有限元分析软件进行计算,得到拟合变形程度、表面平均等效残余应力、平均表面硬度和表面硬度标准差的响应曲面公式。以变形程度、表面硬度和表面等效残余应力等为目标,建立多目标优化函数,并对多目标优化函数进行非线性优化。将优化结果代入淬火过程有限元模拟软件进行计算,并比较优化前后的数值。结果表明:用优化后的工艺参数进行淬火,可以提高零件的淬火质量,优化后各项指标均得到提高。

关键词: 多目标, 工艺参数, 气体淬火, 优化方法

Abstract: A new heat transfer coefficient model with part region is presented, and a plain strain component is regarded as the study objective in this model. Five design variables are selected to do the design of central composite experiment with five factors and five levels. The levels of design variables attained from the experiment design are regard as the technical parameters of gas quenching to simulate the gas quenching process using the FEM software clesigned by ourselves. Some mathematical models of response surface are attained. These mathematical models show the dependencies of distortion, average equivalent residual stress, the standard deviation of surface hardness and average surface hardness with respect to the design variables. The optimization model of multi-objec- tives is presented, and the model is optimized by the non-linear method. The optimization data are regard as the technological parameters to simulate the gas quenching process using the FEM software. The quenching results of after optimization are compared with those of before optimization. The comparison shows that the quenching quality using technological parame- ters after optimization is much better than the quenching qual- ity using technical parameters before optimization. All the items of evaluation objectives are improved after optimization.

Key words: Gas quenching, Multi-objective, Optimization method, Technological parameter

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