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Topology optimization for additive manufacturing

3D printing provides tremendous opportunities for realizing new, complex component geometries for a wide range of engineering applications. While several benefits are immediately apparent, including rapid prototyping and replacing part assemblies with a single print, there are significant gains to be had in terms of re-thinking design. This talk will discuss the potential role of topology optimization in filling this need. Several recent advancements will be discussed, including new topology optimization algorithms based on projection methods for design with multiple materials and for imposing manufacturing constraints specific to additive manufacturing. The algorithms will be demonstrated on several design examples related to mechanical properties.

Author(s):

Andrew Gaynor    
Johns Hopkins University
United States

James Guest    
Johns Hopkins University
United States