Topology optimization for additive manufacturing with length scale, overhang, and building orientation constraints
Prabhat Kumar, Eduardo Fern\'andez

TL;DR
This paper develops a density-based topology optimization method that incorporates additive manufacturing constraints such as minimum feature size, overhang angles, and multiple printing directions, improving the manufacturability of optimized designs.
Contribution
It introduces a novel approach to include overhang and building orientation constraints in topology optimization, addressing issues of self-supporting structures and reducing sacrificial support material.
Findings
Successfully applied to 2D benchmark problems for stiff structures and compliant mechanisms.
Reduces the need for support structures by controlling overhang angles.
Provides MATLAB codes for reproducibility and educational use.
Abstract
This paper presents a density-based topology optimization approach considering additive manufacturing limitations. The presented method considers the minimum size of parts, the minimum size of cavities, the inability of printing overhanging parts without the use of sacrificial supporting structures, and the printing directions. These constraints are geometrically addressed and implemented. The minimum size on solid and void zones is imposed through a well-known filtering technique. The sacrificial support material is reduced using a constraint that limits the maximum overhang angle of parts by comparing the structural gradient with a critical reference slope. Due to the local nature of the gradient, the chosen restriction is prone to introduce parts that meet the structural slope but that may not be self-supporting. The restriction limits the maximum overhang angle for a user-defined…
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Taxonomy
TopicsTopology Optimization in Engineering · Manufacturing Process and Optimization · Additive Manufacturing and 3D Printing Technologies
