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The International Journal of Advanced Manufacturing Technology

Erschienen in:

20.07.2022 | ORIGINAL ARTICLE

A systematic method for automated manufacturability analysis of machining parts

verfasst von: Tongming Xu, Junli Xue, Zhuoning Chen, Jianxun Li, Xuerui Jiao

Erschienen in: The International Journal of Advanced Manufacturing Technology | Ausgabe 1/2022

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Abstract

Model-based definition (MBD) technology has gained popularity in recent years. It provides an opportunity for a deeper integrated digital design and manufacturing of mechanical products. Automated manufacturability analysis (AMA) could solve increasing production costs and the manufacturing cycle caused by design defects and is the crucial support of concurrent engineering. This paper studies a systematic method for automated manufacturability analysis, which converts the design model to a structuralized feature model (SFM) with machining feature recognition. Furthermore, the machining feature-associated graph (MFAG) is proposed to describe SFM, and the meta-model expression of the knowledge rule is detailed. Finally, AMA knowledge modeling and reasoning methods are introduced. The method proposed in this paper addresses the automated manufacturability analysis of machining parts and provides a reference for MBD application in concurrent engineering.

Vorheriger Artikel Dynamic simulation and experimental study of cutting force by rake angle of multi-axis high-speed ball-end milling tool

Nächster Artikel Correction to: A systematic method for automated manufacturability analysis of machining parts

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Titel: A systematic method for automated manufacturability analysis of machining parts
verfasst von: Tongming Xu
Junli Xue
Zhuoning Chen
Jianxun Li
Xuerui Jiao
Publikationsdatum: 20.07.2022
Verlag: Springer London
Erschienen in: The International Journal of Advanced Manufacturing Technology / Ausgabe 1/2022
Print ISSN: 0268-3768
Elektronische ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-022-09586-2

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