Automatic detection of axes for turning parts

• Autorzy: Erler Martin , Basar Feyzi Emrah , Brosius Alexander

Identyfikatory

DOI

10.36897/jme/188803

• Języki publikacji: EN

Abstrakty

EN

This paper delves into a critical aspect of Computer-Aided Production Planning (CAPP): the automated detection of the main rotational axis in turning parts within Computer-Aided Designs (CAD). The identification of the principal turning axis in CAD models presents numerous opportunities in the field of CAPP. In this study, the authors employ advanced surface segmentation techniques to analyse the surface geometry, pinpointing rotational surfaces within the CAD model. Subsequently, significant features are extracted from these identified rotational surfaces, and the necessary data for rotational centers are gathered. By fine-tuning the weighting of the data gathered, the approach can be tailored to suit various planning strategies. This approach has the potential to significantly enhance both the efficiency and accuracy of the automated production planning process for turning parts in CAPP.

Słowa kluczowe

EN

turning axis detection; maximum turnable state; CAPP; computer-aided production planning

• Wydawca: Wydawnictwo Wrocławskiej Rady FSNT NOT
• Czasopismo: Journal of Machine Engineering
• Rocznik: 2024
• Tom: Vol. 24, No. 2
• Strony: 68--82
• Opis fizyczny: Bibliogr. 35 poz., rys.

Twórcy

autor

Erler Martin

• Institute of Manufacturing, Chair of Forming Technology, TU Dresden

autor

Basar Feyzi Emrah

• Institute of Manufacturing, Chair of Forming Technology, TU Dresden

autor

Brosius Alexander

• Institute of Manufacturing, Chair of Forming Technology, TU Dresden

Bibliografia

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