Adaptive CNC machining process optimization of near- net- shaped blade based on machining error data flow control

Abstract Adaptive CNC machining process is one of the efficient processing methods for near- net- shaped blade, this study proposes an adaptive CNC machining process optimization scheme based on multi-source and multi-process machining errors data flow control. The multi-process machining geometric error and mechanical models of the multi-process adaptive CNC machining process are firstly constructed. The machining error flow collaborative control of the near- net- shaped blade multi-process CNC machining is realized by the adaptive CNC machining process. The results show that the dynamic displacement response of the blade multi-process CNC machining process is controlled within 0.007mm. The optimized adaptive CNC machining process can realize the multi-process machining error control and high-precision manufacturing of near- net- shaped blade based on the multi- process geometric machining error data flow control and the sufficient stiffness of blade- fixture system. The process chain of the optimized adaptive CNC machining process based on machining error data flow control is reduced by 87% compared with the low melting point alloy pouring process, and 50% compared with adaptive CNC machining process of the twice on-machine measurement on the blade body.