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TECHNICAL PAPERS

Automated Slicing for a Multiaxis Metal Deposition System

[+] Author and Article Information
Jianzhong Ruan, Todd E. Sparks, Ajay Panackal

Department of Mechanical and Aerospace Engineering, University of Missouri—Rolla, 1870 Miner Circle, Rolla, MO 65409

F. W. Liou1

Department of Mechanical and Aerospace Engineering, University of Missouri—Rolla, 1870 Miner Circle, Rolla, MO 65409

Kunnayut Eiamsa-ard

Department of Mechanical Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand

Kevin Slattery, Hsin-Nan Chou

 The Boeing Company, Boeing–Phantom Works, MC S245-1003, P.O. Box 516, St. Louis, MO 63166

Mary Kinsella

 AFRL/MLLMP, 2230 Tenth Street, Wright-Patterson AFB, OH 45433-7817

1

Corresponding author.

J. Manuf. Sci. Eng 129(2), 303-310 (Sep 12, 2006) (8 pages) doi:10.1115/1.2673492 History: Received March 22, 2006; Revised September 12, 2006

A multiaxis adaptive slicing algorithm for multiaxis layered manufacturing, which can generate optimal slices to achieve deposition without support structures, is presented in this paper. Different from current adaptive slicing, this technique varies not only layer thickness but also in slicing/building direction. Aware of potential problems of previous research on slicing, the work in this paper focuses on innovative geometry reasoning and analysis tool-centroidal axis. Similar to medial axis, it contains geometry and topological information but is significantly computationally cheaper. Using a centroidal axis as a guide, the multiaxis slicing procedure is able to generate a three-dimensional layer or change slicing direction as needed automatically to build the part with better surface quality. This paper presents various examples to demonstrate the feasibility and advantages of centroidal axis and its usage in the multiaxis slicing process.

Copyright © 2007 by American Society of Mechanical Engineers
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Figures

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Figure 1

Build part with 2.5D and multiaxis system

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Figure 2

A case study to demonstrate limitation of projection-based method

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Figure 3

Using transition wall fails to build T-shape overhang

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Figure 4

Skeleton of a bunny

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Figure 5

Different centroidal axes

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Figure 6

Improper centroidal axis and direction selection

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Figure 7

The case of Aupper−(Alower∩Aupper)

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Figure 8

Topology link in centroidal axis

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Figure 9

Centroidal axis searching algorithm flow chart

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Figure 10

Example 1 of centroidal axis extraction

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Figure 11

Example 2 of centroidal axis extraction

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Figure 12

Uniform and non-uniform layer

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Figure 13

Slicing algorithm flow chart

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Figure 14

Slicing result of example in Fig. 1

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Figure 16

Centroidal axis fails to detect the geometric change

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