Process Variable Optimization and Experimental Review of Aero-engine Blade using ECM

Abstract

Abstract

Process of blade in (EMC) can be effected by numerous factors, e.g., shape of blade, electrolytic liquid field and anodic dissolution, ECM parameters may result in affections on blade accuracy. Some aero-engine blade as research object, five main process parameters, voltage, machining gap, feed rate, temperature of working fluid and pressure variation of electrolyte inlet/outlet, are evaluated and optimized as per BP neural network Method. From 3125 possible operating parameter variations, 657 optimized parameters were evaluated. Verification the validation of the optimized ECM parameters, a series of experiments is conducted, and the results show that the optimized ECM parameters not only can satisfy the manufacturing needs of blade but has good ECM process stability.

Keyworks: Electrochemical machining, neural network, parameter optimization, aero-engine blade

Cite this Article

Rajendra kumar verma. Process Variable Optimization and Experimental Review Of Aero-engine Blade using ECM. Recent Trends in Sensor Research & Technology. 2018; 5(3): 27–32p.