Development of an AI system for optimal selection of machining parameters obtained by modal analysis
Customer name :
DCM & NETUR
Completion date : Year 2024
In brief
The project aims to "Develop an AI system for the optimal selection of machining parameters obtained by modal analysis".
Project summary
At present, there is no automated solution for recommending optimal cutting parameters based on modal analysis. Each test has to be carried out manually for each cutting tool. The development of the new AI system for optimal selection of manufacturing parameters by modal analysis involves the development of an application capable of issuing recommendations for carrying out machining operations. The right cutting parameters are to be evaluated automatically with a minimum of experimental testing on the machine tool.
The first objective is to develop a database with modal-analysis-processed cutting tools acting as references. Following this stage, the project aims to develop an AI system for selecting optimal parameters between machines of similar architecture.
A second objective is to integrate an AI module processing modal analysis information for the prediction of machining parameters with cutting tools of similar geometries. Similarities exist in the generation of stability lobes with similar machines. By exploiting the results of cutting tools referenced on one machine, it is possible to deduce the correct stability lobes for another machine without carrying out modal analysis tests. The development of a system for graphically processing stability lobes using artificial intelligence makes the use of machine tools more efficient.
Gallery
CTA's role
As part of this project, the CTA carried out modal analysis tests with its industrial partners, in order to develop a database for characterizing the vibration behavior of CNC machines. An analysis application was then developed to identify optimum cutting parameters.
Results
The aim of the project was to develop an AI system for the optimal selection of machining parameters obtained by modal analysis, and to develop a tool capable of automatically analyzing information relating to the vibration analysis of the cutting tools used with a CNC machine. This information can be very useful for rapidly identifying optimal cutting parameters and reducing the time required for analysis with machine tools of similar architecture.