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https://doi.org/10.3233/atde23...
Part of book or chapter of book . 2023 . Peer-reviewed
License: CC BY NC
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Part of book or chapter of book . 2023
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Tensor Flow for Five-Axis Machining

Authors: Stanislav Makhanov;

Tensor Flow for Five-Axis Machining

Abstract

Five-axis toolpath (TP) based on a set of preferred directions is a trademark of the modern five-axis machining. The TP generation requires a multidisciplinary approach. It combines the multi-axis robotics, optimization, complex analysis and elements of image processing such as clustering, vector and tensor field analysis. Since these vectors can be flipped, this mathematical object is nothing else than the tensor field (TF) of the second order. This paper exploits this idea and presents the enhanced tensor flow (EVF) obtained by applying the parabolic model to the original VF. Clustering of the TF makes it possible to improve the surface quality and the machining time. The proposed transdisciplinary approach shows the advantage of about 20% in terms of the machining time.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid