Lightweight materials and structures have been extensively studied for a wide range of
applications in design and manufacturing of more environment-friendly and more …

Additive manufacturing (AM) is poised to bring a revolution due to its unique production
paradigm. It offers the prospect of mass customization, flexible production, on-demand and …

Abstract Machine Learning (ML) is a branch of artificial intelligence that studies algorithms
able to learn autonomously, directly from the input data. Over the last decade, ML …

Abstract Additive Manufacturing (AM), or 3D printing, processes depend on a user-defined
set of optimized process parameters to create a component. Monitoring and control of AM …

Additive manufacturing (AM) can build up complex parts in a layer-by-layer manner, which is
a kind of novel and flexible production technology. The special manufacturing capability of …

Qualitative uncertainties are a key challenge for the further industrialization of additive
manufacturing. To solve this challenge, methods for measuring the process states and …

Real-time monitoring of the additive manufacturing process offers the promise of
guaranteeing product quality and increasing the efficiency of the printing process. This …

On-line process monitoring increases product quality, improves process stability, and lowers
costs in manufacturing. This paper presents a study of using time-frequency representation …

Warp deformation is a common error encountered in additive manufacturing. It is typically
caused by residual internal stresses in the manufactured part that arise as material cools …

Early failure detection is required for Fused Deposition Modelling (FDM) 3D printers to
reduce material waste. Typically, such systems are created based on images captured …