The application discloses a kind of mechanical
processing parameter self-adaptive tuning method and
system, it is related to
numerical control processing technical field.The method is by obtaining the initial
cutting parameter and tool parameter of process planning
system, and is combined with the
processing signal of real-time acquisition of
machine tool, realizes the dynamic
perception to processing process.Using the prediction output working condition result of fusion
physical model and data-driven model, while generating working
condition index through
machine learning model processing real-
time signal, after the combination of the two, input optimization method based on probability modeling, obtain and screen the candidate parameter combination satisfying constraint condition.During processing execution stage, introduce dynamic threshold monitoring, when detecting
abnormality, can real-time correction or back parameter.The execution result and processing data are fed back to process planning
system.The application can realize parameter self-adaptive tuning, improve prediction accuracy and processing stability, prolong tool life, reduce risk, and have sustained optimization capacity, suitable for intelligent manufacturing under complex working condition.