Data based investigation of the thermo-elastic TCP-Error using neural networks (DataNet) (T11#)

• Subject Area: Production Automation and Assembly Technology
• Term: from 2022 to 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 174223256

The goal of the project is the development of a compensation model, which computes the thermo-elastic machining error based on an artificial neural network. The model only uses machine internal data as input. Therefore, it can be parametrized time-efficiently and applied cost-effectively on a variety of machine tools. As a result, the industrial project partner can increase the maximum machining quality of his machine tools.

• DFG Programme: CRC/Transregios (Transfer Project)
• Subproject of: TRR 96: Thermo-Energetic Design of Machine Tools - A Systemic Approach to Solve the Conflict between Power Efficiency, Accuracy and Productivity Demonstrated at the Example of Machining Production
• Applicant Institution: Technische Universität Dresden
• Business and Industry: CHIRON Group SE
• Project Head: Professor Dr.-Ing. Christian Brecher