Abstract
Blades are important components of aircraft engines. Free-form surface blade machining generally adopts sub-regional processing and cutting parameters vary greatly. Rational optimization of the cutting parameters can improve blade processing quality and efficiency in aerospace industry. To control the processing deformation of the blades, a method using artificial neural network and genetic algorithm is presented to optimize the cutting parameters. The method can reduce cutting parameter selection time and improve blade processing quality.
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