In this work, we present a novel anisotropic lattice structure design and multi-scale
optimization method that can generate conformal gradient lattice structures (CGLS). The …

A machine-learning assisted topology optimization approach is proposed for architectural
design with artistic flavor. This work establishes a novel framework to systematically …

The interfacial connection of metal and reinforced plastic is very critical for lightweight
manufacturing in electronics, automotive, and aerospace industry. The design freedom …

A generative design methodology is presented that solves for minimum volume and
compliance space-frame systems, with consideration of stress and buckling constraints. The …

This paper introduces a systematic design optimization approach for shells with pattern-
guided infills, aiming to address both intuitive design requirements and considerations for …

Recent advances in manufacturing and material science enable the fabrication of complex
digital geometric models that are difficult or impossible to produce by using conventional …

Graded porous structures combine robustness of porous structures and high stiffness of bulk
designs. This study aims to design optimized graded porous bone-like structures through a …

This research proposes a novel topology optimization method using neural style transfer to
simultaneously optimize both structural performance for a given loading condition and …

Structural topology optimization is an important design tool in the conceptual design phase
of a product. However, the current topology optimization design is mostly driven strictly …

This paper aims to propose a topology optimization method on generating porous structures
comprising multiple materials. The mathematical optimization formulation is established …