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Abstract

Additively manufactured components often require temporary support material to prevent the component from collapsing or warping during fabrication. Whether these support materials are removed chemically as in the case of many polymer additive manufacturing processes, or mechanically as in the case of (for example) Direct Metal Laser Sintering, the use of sacrificial material increases total material usage, build time, and time required in post-fabrication treatments. The goal of this work is to embed a minimum allowable self-supporting angle within the topology optimization framework such that designed components and structures may be manufactured without the use of support material. This is achieved through a series of projection operations that combine a local projection to enforce minimum length scale requirements and a support region projection to ensure a feature is adequately supported from below. The magnitude of the self-supporting angle is process dependent and is thus an input variable provided by the manufacturing or design engineer. The algorithm is demonstrated on standard minimum compliance topology optimization problems and solutions are shown to satisfy minimum length scale, overhang angle, and volume constraints, and are shown to be dependent on the allowable magnitudes of these constraints.

Details

Title
Topology optimization considering overhang constraints: Eliminating sacrificial support material in additive manufacturing through design
Author
Gaynor, Andrew T 1 ; Guest, James K 2 

 Materials Manufacturing Technology Branch, Weapons and Materials Research Directorate, U.S. Army Research Laboratory, RDRL-WMM-D, Aberdeen, MD, USA 
 Department of Civil Engineering, The Johns Hopkins University, Baltimore, MD, USA 
Pages
1157-1172
Publication year
2016
Publication date
Nov 2016
Publisher
Springer Nature B.V.
ISSN
1615147X
e-ISSN
16151488
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2262590003
Copyright
Structural and Multidisciplinary Optimization is a copyright of Springer, (2016). All Rights Reserved.