A machining process optimization method based on digital twinning
By constructing a 'neural-fluid' twin that integrates pulse neural networks and fluid-structure interaction theory, high-frequency flutter can be sensed and suppressed in real time. This solves the problems of computational lag and insufficient adaptability of traditional digital twin systems in high-frequency vibration processing, and achieves high-precision, low-latency processing stability and efficiency improvement.
CN122151772APending Publication Date: 2026-06-05XIAN GUHE AVIATION TECH CO LTD
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- XIAN GUHE AVIATION TECH CO LTD
- Filing Date
- 2026-03-12
- Publication Date
- 2026-06-05
Smart Images
Figure CN122151772A_ABST
Abstract
The application relates to the field of intelligent manufacturing and digital twin technology, and particularly discloses a machining process optimization method based on digital twin. The method constructs a multi-physical field digital twin body combining a pulse neural network and a fluid-structure coupling theory, collects signals in real time through a high-sampling-rate vibration sensor and carries out time sparse coding; when a chatter precursor is identified, a microsecond-level pulse trigger signal is generated to drive a cutting fluid spraying mechanism to form a dynamic fluid damping barrier in a tool-workpiece contact area, and actively inhibit the propagation of chatter. Through the above technical scheme, millisecond-level state synchronization and microsecond-level response control can be realized, the cutting fluid is converted into an active damping unit, and the machining stability, precision and tool life are improved.
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