Additive manufacturing (AM) is an advanced and sustainable manufacturing process to
make functional parts from various materials. Fused deposition modeling (FDM) is the most …

The diverse and complex failure modes of carbon fiber reinforced plastic (CFRP) composites
impose a significant challenge on optimization of both structural topology and fiber path …

A general semi-analytical modeling method for the bolted variable stiffness composite
cylindrical shell, incorporating precise modeling of the boundary and connecting flanges, is …

This paper presents a novel approach for designing functionally graded porous structures
(FGPSs) at a macroscopic scale, where the main goal is to maximize their stiffness when …

Abstract Machine learning (ML) methods have found some applications in structural
topology optimization. In the existing methods, however, the ML models need to be retrained …

This study introduces a novel topology optimization approach by employing power law-
based material interpolation and adaptive filtering in the framework of the unstructured grids …

Gradient and anisotropic design have proved to be two effective approaches for customizing
lightweight porous parts in recent years due to their outstanding performances comparing to …

Abstract Wire and Arc Additive Manufacturing (WAAM) has great potential for efficiently
producing large metallic components. However, like other additive manufacturing …

This paper introduces an approach for the geometric modeling of advanced cellular
structures, characterized by their stochastic, conformal nature, and the ability to transition …

The optimal design of continuous fiber reinforced composites (CFRC) is crucial for
enhancing the lightweight and mechanical performance of high-end equipment structures …