TY - JOUR
T1 - Methods for feature-based design of heterogeneous solids
AU - Liu, H.
AU - Maekawa, T.
AU - Patrikalakis, N. M.
AU - Sachs, E. M.
AU - Cho, W.
N1 - Funding Information:
This work was funded in part by NSF DMI-0100194 and ONR N00014-01-1-1065. We are also grateful to Dr. Yuming Liu for providing a computer code for the BEM method and Dr. V. Frayssé et al. for the GMRES codes.
Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2004/10
Y1 - 2004/10
N2 - This paper presents a parametric and feature-based methodology for the design of solids with local composition control (LCC). A suite of composition design features are conceptualized and implemented. The designer can use them singly or in combination, to specify the composition of complex components. Each material composition design feature relates directly to the geometry of the design, often relying on user interaction to specify critical aspects of the geometry. This approach allows the designer to simultaneously edit geometry and composition by varying parameters until a satisfactory result is attained. The identified LCC features are those based on volume, transition, pattern, and (user-defined) surface features. The material composition functions include functions parametrized with respect to distance or distances to user-defined geometric features; and functions that use Laplace's equation to blend smoothly various boundary conditions including values and gradients of the material composition on the boundaries. The Euclidean digital distance transform and the Boundary Element Method are adapted to the efficient computation of composition functions. Theoretical and experimental complexity, accuracy and convergence analyses are presented. The representations underlying the composition design features are analytic in nature and therefore concise. Evaluation for visualization and fabrication is performed only at the resolutions required for these purposes, thereby reducing the computational burden.
AB - This paper presents a parametric and feature-based methodology for the design of solids with local composition control (LCC). A suite of composition design features are conceptualized and implemented. The designer can use them singly or in combination, to specify the composition of complex components. Each material composition design feature relates directly to the geometry of the design, often relying on user interaction to specify critical aspects of the geometry. This approach allows the designer to simultaneously edit geometry and composition by varying parameters until a satisfactory result is attained. The identified LCC features are those based on volume, transition, pattern, and (user-defined) surface features. The material composition functions include functions parametrized with respect to distance or distances to user-defined geometric features; and functions that use Laplace's equation to blend smoothly various boundary conditions including values and gradients of the material composition on the boundaries. The Euclidean digital distance transform and the Boundary Element Method are adapted to the efficient computation of composition functions. Theoretical and experimental complexity, accuracy and convergence analyses are presented. The representations underlying the composition design features are analytic in nature and therefore concise. Evaluation for visualization and fabrication is performed only at the resolutions required for these purposes, thereby reducing the computational burden.
KW - Functionally graded materials
KW - Local composition control
KW - Solid free-form fabrication
KW - Three-dimensional printing
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U2 - 10.1016/j.cad.2003.11.001
DO - 10.1016/j.cad.2003.11.001
M3 - Article
AN - SCOPUS:3042731529
SN - 0010-4485
VL - 36
SP - 1141
EP - 1159
JO - CAD Computer Aided Design
JF - CAD Computer Aided Design
IS - 12
ER -