DocumentCode
1747420
Title
Development of a sheet-based material handling system for layered manufacturing
Author
Wei, Tao ; Choi, Sangeun ; Newman, Wyatt S.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Case Western Reserve Univ., Cleveland, OH, USA
Volume
2
fYear
2001
fDate
2001
Firstpage
1352
Abstract
Computer-aided manufacturing of laminated engineering materials (CAM-LEM), developed at Case Western Reserve University, is a layered-manufacturing approach utilizing automated stacking of parts laser-cut from sheet materials. This paper presents the design of a material-handling system and its integration with a modular laser-cutting system, completing the most recent version of CAM-LEM. Our material-handling system is required to: transfer individual sheets from at least three material stacks to the cutting table of the laser-cutting system; extract single-layer, laser-cut parts from the cutting table; and stack the parts onto a vertical-stack assembly, resulting in fabrication of a 3D object. Design philosophy, details, and stacking performance measurements of the constructed system are presented. It is shown that the resulting system is capable of assembling objects within a 150 mm cube with an assembly precision of approximately 0.050 mm. Further, the assembly operations are relatively fast, so that part build rates are limited primarily by the laser cutter.
Keywords
assembling; cutting; laser beam machining; manufacturing processes; materials handling; rapid prototyping (industrial); 3D object fabrication; Case Western Reserve University; computer-aided manufacturing; laminated engineering materials; laser-cutting; layered manufacturing; material handling system; vertical-stack assembly; Assembly systems; Computer aided manufacturing; Laser beam cutting; Layered manufacturing; Materials handling; Optical design; Optical device fabrication; Optical materials; Sheet materials; Stacking;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on
ISSN
1050-4729
Print_ISBN
0-7803-6576-3
Type
conf
DOI
10.1109/ROBOT.2001.932798
Filename
932798
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