一种整体叶盘铣削颤振智能控制方法
By installing multiple sensors during the integral bladed disk milling process and utilizing edge computing and chatter prediction models, real-time chatter monitoring and dynamic feature extraction of the integral bladed disk were achieved. This solved the problems of insufficient real-time performance and accuracy of chatter control in existing technologies, and improved machining accuracy and tool life.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENYANG LIMING AERO-ENGINE GROUP CORPORATION
- Filing Date
- 2025-07-25
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to achieve real-time, precise chatter control during integral bladed disk milling, leading to machining errors, tool wear, and equipment malfunctions. Furthermore, existing intelligent control technologies fall short in multi-source signal fusion and dynamic feature extraction, making it difficult to meet the precision machining requirements of complex thin-walled parts for aero-engines.
By installing multiple sensors on the spindle, cutting tool, and impeller clamping parts of CNC machine tools, and combining edge computing terminals and OPC UA protocols, real-time preprocessing and data interaction of multi-source signals are achieved, a chatter prediction model is constructed, multi-signal joint decision-making and early warning are performed, and control commands are output to suppress chatter.
It achieves a 40%-60% reduction in milling vibration amplitude, eliminates milling marks on the blade surface, and achieves a surface roughness of Ra0.6μm, thereby improving machining accuracy and tool life.
Smart Images
Figure CN120871746B_ABST