Sarikaya, Erkut ; Fertig, Alexander ; Öztürk, Tuğrul ; Weigold, Matthias (2023)
An Implementational Concept of the Autonomous Machine Tool for Small-Batch Production.
doi: 10.1007/978-3-031-18318-8_54
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The increasing demand for customized and complex products with small batch sizes confronts the manufacturing industry with new challenges, which can only be handled by flexible and dynamic manufacturing processes. As a major part of the process chain, autonomous machine tools can contribute to satisfying these requirements. Although there are many contributions on autonomous machine tools in research, the development of a self-learning, autonomous AI-integrated machine tool has been implemented neither in the industry nor in research. This paper proposes an industry-oriented concept of a self-learning machine tool. The system architecture consists of the existing CAD, CAM and CNC process chain and extends it with a knowledge base and an intelligent CAPP system for domain knowledge representation and decision making. Process knowledge is represented by using a continual learning process simulation approach for small-batch production.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2023 |
| Autor(en): | Sarikaya, Erkut ; Fertig, Alexander ; Öztürk, Tuğrul ; Weigold, Matthias |
| Art des Eintrags: | Bibliographie |
| Titel: | An Implementational Concept of the Autonomous Machine Tool for Small-Batch Production |
| Sprache: | Englisch |
| Publikationsjahr: | 22 Februar 2023 |
| Ort: | Cham |
| Verlag: | Springer International Publishing |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Production at the Leading Edge of Technology |
| Buchtitel: | Production at the Leading Edge of Technology : Proceedings of the 12th Congress of the German Academic Association for Production Technology (WPG), University of Stuttgart, Oktober 2022 |
| DOI: | 10.1007/978-3-031-18318-8_54 |
| Kurzbeschreibung (Abstract): | The increasing demand for customized and complex products with small batch sizes confronts the manufacturing industry with new challenges, which can only be handled by flexible and dynamic manufacturing processes. As a major part of the process chain, autonomous machine tools can contribute to satisfying these requirements. Although there are many contributions on autonomous machine tools in research, the development of a self-learning, autonomous AI-integrated machine tool has been implemented neither in the industry nor in research. This paper proposes an industry-oriented concept of a self-learning machine tool. The system architecture consists of the existing CAD, CAM and CNC process chain and extends it with a knowledge base and an intelligent CAPP system for domain knowledge representation and decision making. Process knowledge is represented by using a continual learning process simulation approach for small-batch production. |
| Freie Schlagworte: | Autonomous machining, Process planning, Machine tool |
| Fachbereich(e)/-gebiet(e): | 16 Fachbereich Maschinenbau 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) 16 Fachbereich Maschinenbau > Institut für Produktionsmanagement und Werkzeugmaschinen (PTW) > TEC Fertigungstechnologie |
| Hinterlegungsdatum: | 23 Feb 2023 06:13 |
| Letzte Änderung: | 23 Feb 2023 06:13 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum