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

使用神经网络 (DataNet) 对热弹性 TCP 误差进行基于数据的调查 (T11

• 批准号: 491730059
• 金额: --
• 依托单位: Forschungsbereich Werkzeugmaschinen
• 依托单位国家: 德国
• 项目类别: CRC/Transregios (Transfer Project)
• 财政年份: 2022
• 资助国家: 德国
• 起止时间: 2021-12-31 至 2023-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/491730059?language=en
• 关键词: Data; based; investigation; thermo; elastic

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.

该项目的目标是开发一个补偿模型，该模型基于人工神经网络计算热弹性加工误差。该模型仅使用机器内部数据作为输入。因此，它可以在各种机床上进行时间效率和成本效益的参数化。因此，工业项目合作伙伴可以最大限度地提高机床的加工质量。