CAM2030 (BMBF, 2020-2023)
Development of an innovative solution for the advanced systems engineering of the computer-aided process planning of the future
In many key industries in Germany, such as engine construction, tool and mold making, medical technology, general mechanical engineering, etc., the process planning for the production of workpieces is carried out with the help of computer-aided manufacturing, CAM for short. The industry-specific products are often characterized by complex geometries, high-strength materials and a high level of safety relevance. The complexity of manufacturing is a main reason why manufacturing, jobs and value creation in the industries are still largely located in western high-wage countries. However, increasing competition, shorter innovation cycles and greater product customization as part of Industry 4.0 are leading to a rapidly increasing complexity of products and CAM systems, making it difficult for even experienced users to carry out work. In addition to the complexity mentioned, this also results from the low user-friendliness and learnability of CAM systems. CAM2030 aims to connect modern, digital tools - artificial intelligence, cloud computing and evolutionary algorithms - to the CAM system to support the user during process planning. The CAM system is transformed into a service-oriented product by connecting EA, CC and AI. The work of the Human-Computer Interaction Center serves to support application companies in solving the problems outlined. The aim is to strengthen the competitiveness of SMEs and large companies and to create easy-to-use CAM systems for Industry 4.0. By collecting user-related requirements and deriving design specifications, CAM system developers should be able to make future CAM systems much more user-friendly. This should enable end users to successfully master complex process planning tasks.
The CAM2030 project is part of the meta-project AdWiSE with eight other projects within the research program "Innovations for the production, services and work of tomorrow" - guidelines for funding projects on the topic "Controlling the complexity of socio-technical systems - a contribution to advanced systems engineering for tomorrow's added value, or PDA_ASE for short.
This research and development project is funded by the Federal Ministry of Education and Research in the "Innovations for tomorrow's production, service and work" program with the grant number 02J19B081 and is supervised by the project management organization Karlsruhe, PTKA for short. The responsibility for the content of this publication lies with the author.
Contact person: Nina Rußkamp