Towards efficient 5-axis flank CNC machining of free-form surfaces via fitting envelopes of surfaces of revolution. (October 2016)

• Record Type: Journal Article
• Authors: Bo, Pengbo; Bartoň, Michael; Plakhotnik, Denys; Pottmann, Helmut
• Is Part Of: Computer aided design. Volume 79(2016)
• Page Start: 1
• Page End: 11
• Publication Date: 2016-10
• Subjects: 5-axis CNC machining -- Flank milling -- Free-form surface -- Tangential movability -- Shape manufacturing; Computer-aided design -- Periodicals; Engineering design -- Data processing -- Periodicals; Computer graphics -- Periodicals; Conception technique -- Informatique -- Périodiques; Infographie -- Périodiques; Computer graphics; Engineering design -- Data processing; Periodicals; Electronic journals; 620.00420285
• DOI: 10.1016/j.cad.2016.04.004
• Languages: English
• ISSNs: 0010-4485

Abstract

Abstract: We introduce a new method that approximates free-form surfaces by envelopes of one-parameter motions of surfaces of revolution. In the context of 5-axis computer numerically controlled (CNC) machining, we propose a flank machining methodology which is a preferable scallop-free scenario when the milling tool and the machined free-form surface meet tangentially along a smooth curve. We seek both an optimal shape of the milling tool as well as its optimal path in 3D space and propose an optimization based framework where these entities are the unknowns. We propose two initialization strategies where the first one requires a user's intervention only by setting the initial position of the milling tool while the second one enables to prescribe a preferable tool-path. We present several examples showing that the proposed method recovers exact envelopes, including semi-envelopes and incomplete data, and for general free-form objects it detects envelope sub-patches. Highlights: We investigate a class of surfaces generated by motions of surfaces of revolution. Using these envelopes, we approximate general free-form objects. We propose a CNC-machining method that seeks both the optimal tool and its 3D motion. We validate our algorithm on several benchmark CAD models.