Autonomous Modeling of Machine Behavior Approach for Autonomously Modeling the Dynamic Behavior of Milling Machines and Potentials of this Approach in Industry

被引：0
|
作者：
Oexle F. [1 ]
Netzer M. [2 ]
Deiters L. [1 ]
Puchta A. [1 ]
Fleischer J. [1 ]
机构：
[1] Karlsruher Institut für Technologie (KIT), Wbk Institut für Produktionstechnik, Kaiserstraße 12, Karlsruhe
[2] Rolls-Royce Power Systems AG, Friedrichshafen
来源：
ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb | 2024年 / 119卷 / 05期
关键词：
Autonomous Machine; Dynamic Behavior; Industry; 4.0; Machine Tool; Modeling;
D O I：
10.1515/zwf-2024-1054
中图分类号：
学科分类号：
摘要：
The shortage of skilled workers is a major challenge facing companies in Germany today. To address this issue, intelligent machines will need to support employees in the future, with a particular focus on self-optimization. For that an approach that enables a milling machine to autonomously model its own dynamic behavior is presented in this article. In addition, a well-known company demonstrates how important the industrial implementation of such approaches is. © 2024 Walter de Gruyter GmbH, Berlin/Boston, Germany.
引用
收藏
页码：318 / 323
页数：5
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