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

页码：318 / 323

页数：5

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