Název: | Curve-guided 5-axis CNC flank milling of free-form surfaces using custom-shaped tools |
Autoři: | Rajain, Kanika Sliusarenko, Oleksii Bizzarri, Michal Barton, Michael |
Citace zdrojového dokumentu: | RAJAIN, K. SLIUSARENKO, O. BIZZARRI, M. BARTON, M. Curve-guided 5-axis CNC flank milling of free-form surfaces using custom-shaped tools. Computer Aided Geometric Design, 2022, roč. 94, č. March, s. nestránkováno. ISSN: 0167-8396 |
Datum vydání: | 2022 |
Nakladatel: | Elsevier |
Typ dokumentu: | článek article |
URI: | 2-s2.0-85127161249 http://hdl.handle.net/11025/51650 |
ISSN: | 0167-8396 |
Klíčová slova v dalším jazyce: | 5-Axis CNC machining;Custom-shaped tools;Finishing operations;Tangential movability;Free-form shape manufacturing;Tool path-planning |
Abstrakt v dalším jazyce: | A new method for 5-axis flank milling of free-form surfaces is proposed. Existing flank milling path-planning methods typically use on-market milling tools whose shape is cylindrical or conical, and is therefore not well-suited for meeting fine tolerances for manufacturing of benchmark free-form surfaces like turbine blades, gears, or blisks. In contrast, our optimization-based framework incorporates the shape of the tool into the optimization cycle and looks not only for the milling paths, but also for the shape of the tool itself. Given a free-form reference surface and a guiding path that roughly indicates the motion of the milling tool, tangential movability of quadruplets of spheres centered along a straight line is analyzed to indicate possible shapes and their motions. This results in $G^1$ Hermite data in the space of rigid body motions that are interpolated and further optimized, both in terms of the motion and the shape of the milling tool itself. We demonstrate our algorithm on synthetic free-form surfaces and industrial benchmark datasets, showing that the use of custom-shaped tools is capable of meeting fine industrial tolerances and outperforms the use of classical, on-market tools. |
Práva: | Plný text je přístupný v rámci univerzity přihlášeným uživatelům © Elsevier |
Vyskytuje se v kolekcích: | Články / Articles (NTIS) OBD |
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paper_public.pdf | 17,24 MB | Adobe PDF | Zobrazit/otevřít Vyžádat kopii |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/51650
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