Research On Machine Tool Milling Force Prediction And Process Parameter Optimization Technology Based On Digital Twin

With the rapid development of manufacturing and informatization,the research and application of digital twin technology in various industries has been rapidly expanded.As an indispensable industrial mother machine in the manufacturing industry,machine tools are related to the strategic position of national economic development.During the milling process of the machine tool,excessive milling force will affect the quality of the machining process,and may even cause problems such as wear and tear of the milling cutter.Therefore,this paper proposes a machine tool milling force prediction method based on digital twin,which realizes the milling force prediction and multi-dimensional expression of the machine tool milling process.Optimize the process parameters for the target,and complete the implementation and verification of the entire digital twin system.The main work is as follows:1.Based on the milling process of the digital twin machine tool,a virtual monitoring system of unity 3D milling is developed with visual milling simulation,milling force prediction and process parameter optimization as the main functional modules.A milling cross-collision detection algorithm under the virtual monitoring system is designed to improve the detection accuracy of cutting tools and workpieces under the virtual monitoring system.At the same time,based on the high concurrency environment under the traditional digital twin virtual monitoring system,an asynchronous transmission scheme based on cache and message queue is proposed to ensure the performance and accuracy of data interaction in the virtual monitoring system.2.Design a full-factor experimental scheme that affects milling force,use the spike force measurement system to build an experimental scene,and collect process data such as spindle speed,radial feed,and feed rate during machine tool cutting.Develop a prediction module based on real-time data,expand the interactive function module of the virtual monitoring system,and realize the prediction and visualization of real-time data on the milling site.3.Since there is a direct relationship between the milling force,milling power and material removal rate in the machining process,using the data persistence module of the virtual monitoring system,a genetic algorithm-based pareto solution is designed to face high material removal rate,low milling power and low Multi-objective milling parameter optimization with milling force as the core.4.Develop the virtual monitoring system for milling based on the Unity 3D digital twin,and test the performance,functions and display effects of the virtual milling monitoring system to ensure that the virtual milling monitoring system can have stable and reliable interaction in the real-time milling simulation process.