Parameters Optimization and Experimental Study of Aero-Engine Blade in Electrochemical Machining Based on High-Risk Machining Parameter Elimination

Abstract:

Because the process of blade in electrochemical machining(EMC) can be effected by many factors, such as blade shapes, machining electrical field, electrolyte fluid field and anode electrochemical dissolution, different ECM machining parameters maybe result in great affections on blade machining accuracy. Regard some type of aero-engine blade as research object, a great deal of ECM machining parameter combination which probably result in machining failure can be eliminated based on BP neural network firstly. Furthermore, the optimized ECM machining parameter combination has been discovered. To verify the validity of the optimized ECM parameter combination, a serial of machining experiments have been conducted on an industrial scale ECM machine, and the experiment results demonstrates that the optimized ECM parameter combination not only can satisfy the manufacturing requirements of blade fully but has excellent ECM process stability.

• Periodical: Key Engineering Materials (Volume 567)
• Pages: 67-72
• DOI: https://doi.org/10.4028/www.scientific.net/KEM.567.67
• Online since: July 2013
• Authors: Zhi Yong Li, Zong Wei Niu, Li Li
• Keywords: Blade, BP Neural Network (BPNN), Electrochemical Machining, Parameter Optimization

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