Abstract
This paper presents a hybrid topology optimization method for multipatch fused deposition modeling (FDM) 3D printing to address the process-induced material anisotropy. The ‘multipatch’ concept consists of each printing layer disintegrated into multiple patches with different zigzag-type filament deposition directions. The level set method was employed to represent and track the layer shape evolution; discrete material optimization (DMO) model was adopted to realize the material property interpolation among the patches. With this set-up, a concurrent optimization problem was formulated to simultaneously optimize the topological structure of the printing layer, the multipatch distribution, and the corresponding deposition directions. An asynchronous starting strategy is proposed to prevent the local minimum solutions caused by the concurrent optimization scheme. Several numerical examples were investigated to verify the effectiveness of the proposed method, while satisfactory optimization results have been derived.
Highlights
In additive manufacturing (AM) or 3D printing, many of the design complexity constraints in conventional manufacturing methods can be eliminated due to its layer-by-layer material deposition nature
There are new design rules and unique constraints induced by AM, which introduce new challenges such as support structure design/elimination [4,5,6,7,8,9,10], minimum component size constraints [11,12,13,14,15,16], directional material properties [17,18,19], topology design interpretation [20,21,22,23], variable-density cellular structure design [24,25,26,27,28], and many others [29,30]
3Dbackground, printing is were often ignored by the topologyoptimization optimizationmethod works for printing on this proposed in this paper, in which a printing layer is disintegrated into multiple patches and eachin patch a hybrid topology optimization method of design for multipatch fused deposition modeling (FDM) 3D printing is proposed this has its unique direction of the zigzag-type filament deposition
Summary
In additive manufacturing (AM) or 3D printing, many of the design complexity constraints in conventional manufacturing methods can be eliminated due to its layer-by-layer material deposition nature. Optimizing the filamentthe deposition paths will provide an were possibility often ignored by thethe topology optimization works for FDM printing [33] Based on this extra to enhance structural performance. The anisotropic material properties background, a hybrid topology ofFDM design for multipatch In this way, the topology optimization paper, in which a printing layer is disintegrated into multiple patches and each patch has its unique of the targeted problem evolves the traditional material/void design to targeted a more direction of the zigzag-type filamentfrom deposition. The sub-material deposition directions are interpolated under the discrete material optimization (DMO) scheme with domains are not clearly distinguished from the beginning; instead, the candidate deposition directions density variables. The sub-material domains are not clearly distinguished from the beginning; instead, the candidate deposition directions are interpolated under the discrete material optimization (DMO) scheme with density variables. The conclusion of the contribution and the prospect of future work are made at the end
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