Metal additive manufacturing (AM) has the potential to revolutionize manufacturing by enabling the fabrication of complex geometries. However, the lack of novel design methodologies that can fully leverage the capabilities of AM has hindered its widespread adoption​

​This talk will cover two sub-topics in computational design for AM. Firstly, an efficient homogenization-based topology optimization method will be presented for optimizing the design of functionally graded lattice infills in AM components to achieve weight savings and performance enhancement. Secondly, a supporting structure design method for metal AM will be discussed to address various manufacturability, residual stress, and distortion issues.