基于仿真的单晶涡轮叶片精铸工艺参数优化  

Parameters Optimization of Investment Casting Single Crystal Turbine Blade Based on Numerical Simulation

作　　者：卜昆[1] 傅将威[1] 董一巍[1] 周丽敏[1] 乔燕[1] 

机构地区：[1]西北工业大学现代设计与集成制造技术教育部重点实验室

出　　处：《特种铸造及有色合金》2013年第4期353-357,共5页Special Casting & Nonferrous Alloys

基　　金：西北工业大学研究生创业种子基金资助项目(Z2012033)

摘　　要：涡轮叶片尺寸精度直接影响叶片的成品率,而精铸工艺参数对叶片尺寸精度有非常大的影响。基于ProCAST仿真软件,采用单因素试验分析抽拉速度、浇注温度、型壳预热温度、冷铜温度对叶片尺寸的影响,结合正交试验及BP神经网络优化了精铸工艺参数。最后,通过实际浇注验证了该方法的有效性。The dimensional accuracy of turbine blade affects yield of turbine blade directly, while the casting process parameters have great effect on the accuracy of turbine blade size. Based on the simulation software ProCAST, the effects of the withdrawal velocity, pouring temperature, mould preheating temperature and the cold copper temperature on turbine blade dimensions were analyzed by single factor experiment, and the processing parameters were optimized by combining the orthogonal test with the BP neural network. Finally, the practical pouring experiment was conducted to verify the avaibility of the method.

关 键 词：PROCAST 正交试验 神经网络 工艺参数优化 

分 类 号：TG244[金属学及工艺—铸造] TG249.5[机械工程—精密仪器及机械]