How to achieve online monitoring and compensation to maintain machining accuracy during tool wear in milling and turning machining?
Publish Time: 2026-05-14
In modern high-precision manufacturing, milling and turning machining, with its advantages of multi-process integration and one-time clamping, is widely used in aerospace, precision mold, and high-end equipment component processing. However, during long-term continuous machining, tool wear is inevitable, leading to dimensional deviations, decreased surface quality, and even accumulated form and position errors.1. Constructing a Multi-Sensor Fusion Monitoring System for Real-Time PerceptionOnline monitoring relies on real-time acquisition of tool status. In milling and turning machining systems, tool wear status can be comprehensively judged through multi-source data fusion methods, including vibration sensors, spindle load monitoring, current signal analysis, and acoustic emission sensors. When tool wear intensifies, changes in cutting force, abnormal vibration spectra, and motor load fluctuations will exhibit obvious characteristics. Through multi-dimensional data fusion analysis, real-time perception and trend prediction of tool status can be achieved.2. Establishing a Wear Prediction Model Using Intelligent AlgorithmsRelying on a single signal is insufficient to accurately determine the degree of tool wear; therefore, intelligent algorithms are needed for data modeling. By training historical machining data and tool wear status using machine learning or deep learning methods, a wear prediction model can be established. When the system detects a deviation between the current machining state and the standard model, it can calculate the degree of tool wear, thus providing a basis for subsequent compensation strategies. This predictive analysis can transform traditional passive maintenance into proactive control.3. Introducing a Real-Time Compensation Mechanism in the CNC System to Correct Machining ErrorsAfter detecting tool wear, the CNC system can dynamically correct the tool path or machining parameters through a real-time compensation mechanism. For example, by adjusting the tool radius compensation value or correcting the feed rate, the actual cutting trajectory can be kept consistent with the theoretical machining trajectory. Simultaneously, in multi-axis linkage machining, coordinate system fine-tuning can also be used to offset dimensional deviations caused by tool wear, thereby ensuring the continuous stability of machining accuracy.4. Optimizing Machining Path Planning to Reduce the Cumulative Impact of WearDuring the process planning stage, by rationally designing the tool path, the impact of wear on machining accuracy can be effectively mitigated. For example, using layered cutting or symmetrical machining strategies can make the tool more evenly stressed, avoiding rapid wear caused by local overload. Meanwhile, reserving a small allowance during critical finishing stages and then achieving final dimensional control through a finishing path helps reduce the direct impact of wear on finished product accuracy.5. Establishing a Closed-Loop Control System for Continuous OptimizationThe ultimate goal of online monitoring and compensation is to form a closed-loop control system. By linking sensor data, predictive models, and the CNC system in real time, the machining process is always in a state of dynamic adjustment. When tool wear reaches a critical value, the system can not only automatically compensate but also trigger tool change or maintenance reminders, thereby preventing machining quality from spiraling out of control. This closed-loop control mode can significantly improve the stability and reliability of milling and turning machining.In summary, to achieve online monitoring and accuracy compensation during tool wear in milling and turning machining, it is necessary to rely on multi-level technological collaboration, including multi-sensor fusion monitoring, intelligent predictive modeling, real-time CNC compensation, path optimization design, and a closed-loop control system. Only on the basis of a high degree of integration between data perception and control execution can high-precision machining capabilities be continuously maintained.
