Computer Aided Manufacturing (CAM) systems enable technicians to plan machining processes. CAM technicians use CAM software to program code with machine specific instructions and commands for Computerized Numerical Control (CNC) machine tools. Programming the tool paths is an essential step in the process design of machining processes. During this step, all relevant boundary conditions of the CAD-CAM-CNC process chain must be considered.
Experienced CAM system users usually achieve good results in process planning, but the optimal process is almost never achieved, even with enormous effort. Once the best possible solution has been identified, all other versions are usually discarded without documentation, so that the knowledge gained during their creation can no longer be accessed in subsequent planning processes. The knowledge is thus lost. What is currently available to CAM system users in industrial practice only to a limited extent are quantitative evaluation tools for comparing the programmed process solution with the achieved process and workpiece quality.
The project team of "CAM2030" is developing a new generation of CAM systems that will help users reduce planning effort, optimize process capability as well as develop and retain knowledge for the long-term. By enriching CAM systems with novel digital optimization tools centered on the user – evolutionary algorithms (EA), cloud computing (CC) and artificial intelligence (AI) – "CAM2030" will improve the socio-technical working environment of CAM technicians. The developments will reduce the workload of CAM system users in computer-aided process planning and enable them to perform planning tasks in an uncomplicated, efficient and safe manner in the future, even for highly complex components.
The project objectives of "CAM2030" are
By developing a new CAM system demonstrator, the partners in “CAM2030” will deliver new methods, tools, procedures, models, guidelines, manuals and concepts for "Advanced Systems Engineering (ASE)". ASE addresses the four central characteristics of advanced systems: high autonomy, dynamic networking, user-friendly socio-technical interaction, and closely intermeshed product-service systems.
The focus of "CAM2030" is to create innovative solutions and significant progress for the development and application of CAM systems in German SMEs so that the complexity of the systems can be better managed in the future. The research results will be merged with further results within the project "AdWiSE", which is expected to enable a cross-industry use of ASE-relevant developments.