Autonomous machining – recent advances in process planning and control

• Autorzy: Dittrich Marc-André , Denkena Berend , Boujnah Haythem , Uhlich Florian

Identyfikatory

DOI

10.5604/01.3001.0013.0444

• Języki publikacji: EN

Abstrakty

EN

While autonomous driving has come close to reality over the recent years, machining is still characterised by many manual tasks and prone to costly errors. In this article, an overview is given about the potential of autonomous machining and uprising technologies that support this vision. For that purpose, a definition of autonomous machine tools and the required elements is presented. Next, selected elements of an autonomous machine tool, e.g. sensory machine components and control loops, are discussed. Finally, some insights into ongoing research projects regarding the use of machine learning for process planning and control are given.

Słowa kluczowe

EN

machine tool; process planning; adaptive machining; machine learning

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2019
• Tom: Vol. 19, No. 1
• Strony: 28--37
• Opis fizyczny: Bibliogr. 19 poz., rys.

Twórcy

autor

Dittrich Marc-André

• Institute of Production Engineering and Machine Tools, Leibniz Universität Hannover, Hannover, Germany

autor

Denkena Berend

• Institute of Production Engineering and Machine Tools, Leibniz Universität Hannover, Hannover, Germany

autor

Boujnah Haythem

• Institute of Production Engineering and Machine Tools, Leibniz Universität Hannover, Hannover, Germany

autor

Uhlich Florian

• Institute of Production Engineering and Machine Tools, Leibniz Universität Hannover, Hannover, Germany

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).