Automatic Support Removal for Additive Manufacturing Post Processing

被引:27
作者
Nelaturi, Saigopal [1 ]
Behandish, Morad [1 ]
Mirzendehdel, Amir M. [1 ]
de Kleer, Johan [1 ]
机构
[1] PARC, 3333 Coyote Hill Rd, Palo Alto, CA 94304 USA
关键词
Support removal; Additive manufacturing; Post-processing; Accessibility analysis; Configuration space; TOPOLOGY OPTIMIZATION; ACCESSIBILITY ANALYSIS; ORIENTATION; ERRORS;
D O I
10.1016/j.cad.2019.05.030
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
An additive manufacturing (AM) process often produces a near-net shape that closely conforms to the intended design to be manufactured. It sometimes contains additional support structure (also called scaffolding), which has to be removed in post-processing. We describe an approach to automatically generate process plans for support removal using a multi-axis machining instrument. The goal is to fracture the contact regions between each support component and the part, and to do it in the most cost-effective order while avoiding collisions with evolving near-net shape, including the remaining support components. A recursive algorithm identifies a maximal collection of support components whose connection regions to the part are accessible as well as the orientations at which they can be removed at a given round. For every such region, the accessible orientations appear as a 'fiber' in the collision-free space of the evolving near-net shape and the tool assembly. To order the removal of accessible supports, the algorithm constructs a search graph whose edges are weighted by the Riemannian distance between the fibers. The least expensive process plan is obtained by solving a traveling salesman problem (TSP) over the search graph. The sequence of configurations obtained by solving TSP is used as the input to a motion planner that finds collision free paths to visit all accessible features. The resulting part without the support structure can then be finished using traditional machining to produce the intended design. The effectiveness of the method is demonstrated through benchmark examples in 3D. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:135 / 146
页数:12
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