基于仿真的单晶涡轮叶片精铸工艺参数优化

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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
2013年33卷第4期页码：353-357
纸质出版日期： 2013 ，
DOI： 10.15980/j.tzzz.2013.04.023

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[1]卜昆,傅将威,董一巍,周丽敏,乔燕.基于仿真的单晶涡轮叶片精铸工艺参数优化[J].特种铸造及有色合金,2013,33(04):353-357.

Bu Kun, Fu Jiangwei, Dong Yiwei, et al. Parameters Optimization of Investment Casting Single Crystal Turbine Blade Based on Numerical Simulation[J]. Special Casting & Nonferrous Alloys, 2013,33(4):353-357.
[1]卜昆,傅将威,董一巍,周丽敏,乔燕.基于仿真的单晶涡轮叶片精铸工艺参数优化[J].特种铸造及有色合金,2013,33(04):353-357. DOI： 10.15980/j.tzzz.2013.04.023.

Bu Kun, Fu Jiangwei, Dong Yiwei, et al. Parameters Optimization of Investment Casting Single Crystal Turbine Blade Based on Numerical Simulation[J]. Special Casting & Nonferrous Alloys, 2013,33(4):353-357. DOI： 10.15980/j.tzzz.2013.04.023.

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.

ProCAST正交试验神经网络工艺参数优化

ProCASTOrthogonal TestNeural NetworkOptimization of Process Parameters

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