应用模糊数学预测变形高温合金锻件晶粒度

Predicting Grain Size of Wrought Superalloys Forging Using Fuzzy Mathematics

在等温恒应变速率压缩试验的基础上，首次应用模糊数学方法建立表征变形高温合金锻件晶粒度的隶属程度与锻造热力参数之间的定量关系，即所谓隶属函数。将隶属函数与有限元变形－传热耦合分析方法相结合，建立了预测变形高温合金锻件晶粒度的新方法。应用该方法进行预测的结果与试验数据，和ＧＨ４１６９合金涡轮盘锻件的实测晶粒度一致。该方法对优化难变形材料锻造工艺和控制锻件质量具有指导作用。

Based on the results of isothermal constant strain rate compression test, the membership function for characterizing the grain size of superalloys forging was first established through forging thermomechanical parameters. Combining the proposed membership function with thermoviscoplastic coupled numerical simulation software based on finite element method, a new method was formulated for prediction of grain size of superalloys forging. The predicting results by using the method presented in the paper are in close agreement with the experimental data and measured grain size of a GH4169 alloy disk forging. The proposed method can serve as the guide for optimizing the forging process and controlling the forging quality of difficult-to-deformation materials.