A Multi-process Manufacturing Approach Based on STEP-NC Data Model

Laguionie, Raphael; Rauch, Matthieu; Hascoët, Jean-Yves

doi:10.1007/978-3-642-15973-2_25

Cited by 7 publications

(1 citation statement)

References 16 publications

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“…Another important aspect is its ability to produce multi-process parts by benefiting from a unique integrated approach for material removal and additive manufacturing operations. STEP-NC multiprocess manufacturing has already been proposed by the authors in [11]. The same concepts and methods developed for advanced programming for machining are ideally implementable on machines tools with openNC controllers.…”

Section: Towards Multi-process Manufacturingmentioning

confidence: 99%

Enabling Advanced CNC Programming with openNC Controllers for HSM Machines Tools

Hascoët¹,

Rauch²

2016

High Speed Machining

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Abstract:The manufacturing area has benefited from various progresses over the last decades, such as High Speed Machining (HSM), but CNC programming is still based on dated practices and habits with a segmented unidirectional CAD/CAM/CNC data chain. Decision power is limited at the NC controller stage and online process optimization is difficult. In contrast, advanced programming approaches, such as STEP-NC [9], aim to unify the product/process data within a consistent environment from design to machining. Hence, openNC controller solutions which allow access to their internal algorithms, have emerged. It is consequently possible to implement new tool path control algorithms that respond directly to the actual machining condition. This paper focuses on the interest of openNC controllers to develop advanced programming approaches for HSM processes. The major drawbacks of legacy controllers in the implementation of advanced tool path generation methods are discussed and the most significant openNC projects are reviewed. An integrated test platform has been developed. The advanced HSM programming methods enabled by this openNC controller are discussed.

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Section: Towards Multi-process Manufacturingmentioning

confidence: 99%