1. Lattice structure design optimization coupling anisotropy and constraints of additive manufacturing.
- Author
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Wang, Yu, Li, Shuaishuai, Yu, Ying, Xin, Yanmei, Zhang, Xiaoyang, Zhang, Qiang, and Wang, Shuo
- Subjects
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OPTICAL lattices , *MANUFACTURED products , *FUSED deposition modeling , *FINITE element method , *PATH analysis (Statistics) - Abstract
Replacing solid structures with lattice structure is a way enabled by additive manufacturing (AM) to realize part lightweight design. Conventional design optimization method based on homogeneous periodic lattice structure cannot achieve the optimal structure without taking the stress magnitude and orientation into account. A design optimization method of heterogeneous conformal lattice structure coupling constraints and anisotropy of AM based on principal stress lines (PSL) is proposed. (1) The PSL is calculated based on finite element analysis to visualize the path of load transfer. (2) The load-adapted lattice structure is generated guided by the PSL. (3) In order to further optimize lattice structure, the lattice structure optimization model is established by coupling anisotropy and constraints of AM based on the fused deposition modeling (FDM) experiment. Taking a cantilever beam as a case, the maximum force-to-weight ratio and the stiffness-to-weight ratio of the optimized heterogeneous conformal lattice structure are increased by 11.8% and 41.8% respectively compared with homogeneous conformal lattice structure, which verified the feasibility of the proposed method. Unlabelled Image • A design optimization method of lattice structure coupling constraints and anisotropy of AM was proposed. • The superiority of the lattice structure based on principal stress lines was verified by finite element analysis. • The anisotropy model was established based on FDM specimens with different diameters and deposition orientations. • The strength and stiffness of the optimized cantilever beam with heterogeneous conformal lattice structure were improved. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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