| With the rapid development of a new generation of information and communication technology and artificial intelligence technology,the traditional manufacturing industry has started to transform into information technology-based intelligent manufacturing,and unmanned factories have started to develop rapidly.Digital twin technology is a key technology to realize intelligent manufacturing,which can effectively solve the information transfer problem existing in the transformation of manufacturing industry.In this paper,we develop a virtual simulation monitoring system for machine tool machining process based on digital twin technology.Based on the traditional virtual simulation monitoring system,we realize the geometric monitoring of the workpiece material removal process in the machining process of machine tools and introduce the cutting force prediction model,so as to realize the physical level monitoring of the machining process of machine tools.The main research contents of this paper are as follows.(1)The overall design of the virtual simulation monitoring system was completed:the functional requirements of the system were analyzed,the development principles of the system were determined,and the development process was proposed;the various functional modules of the overall virtual monitoring system were designed,and the basic network architecture of the whole system was determined;after that,the two key problems of the system implementation,geometric simulation and physical simulation,were studied and the solutions were proposed;finally The development tools and the system visualization platform of the system were determined.(2)The geometric simulation of machine tool machining process based on material removal algorithm was realized.The modeling software was used to digitally model the machine tool in the workshop,and the monitoring platform of the system was built based on the Unity3 d simulation platform;the principle of tool sweep generation in the cutting process was studied,and the algorithm of tool sweep generation was designed,based on which the material removal algorithm based on the spatial triangular surface sheet was developed,and the real-time performance of the material removal algorithm was improved by using the techniques of workpiece model discretization and redundant point merging,which improved the usability of the algorithm.The usability of the algorithm was improved.The hybrid programming technique solves the problem of real-time data processing and achieves the purpose of real-time monitoring of machine tool machining process geometry simulation.(3)The digital twin physics simulation of cutting force in machine tool machining process was realized.Several common cutting force prediction models were analyzed;full-factor experiments were designed for cutting parameters in the cutting process,and relevant cutting force data were collected;based on the experimental data,the exponential empirical model of cutting force and the BP neural network cutting force model based on genetic algorithm optimization were built respectively,and the errors of the two models were compared,and it was concluded that the neural network model has better accuracy and meets the requirements of the monitoring system for real-time.The graph visualization module was developed based on UGUI in Unity3 d to visualize the cutting force prediction model and realize the physical simulation of cutting force.(4)The integration and testing of the virtual simulation monitoring system were completed.Based on the virtual simulation platform,the two modules of the system and the network module were integrated,the user interface was developed,and the performance of the system was tested by example,and the test results showed that the design objectives of the system could be achieved. |