This paper presents a comprehensive review of the concept of machinability by considering
the dynamic, tribological, and thermo-mechanical interactions encountered at the tool-chip …

Smoothed particle hydrodynamics (SPH) is a well-developed mesh-free method that has
proven highly efficient for mesoscopic additive manufacturing (AM) simulations …

This paper presents an efficient mesoscale simulation of a Laser Powder Bed Fusion (LPBF)
process using the Smoothed Particle Hydrodynamics (SPH) method. The efficiency lies in …

This paper proposes an industrial-friendly approach based on physics-informed Bayesian
machine learning for probabilistic inference and refinement of stability predictions in milling …

This paper presents a hybrid Smoothed Particle Hydrodynamics (SPH)–Finite Element
Method (FEM) solver for metal cutting simulations on Graphics Processing Units (GPU). For …

This paper presents the first application of a higher-order Smoothed Particle Hydrodynamics
(SPH) method to the thermal modeling of metal cutting problems. With this application, the …

The undeformed chip thickness and grinding force are key parameters for revealing the
material removal mechanism in the grinding process. However, they are difficult to be well …

Numerical simulation of metal cutting with rigorous experimental validation is a profitable
approach that facilitates process optimization and better productivity. In this work, we apply …

In the analysis of metal machining processes using meshless methods, friction is usually
modeled (if at all) by Coulomb's law with a prescribed constant coefficient. Experimental …

Numerical simulation of melt pool behavior during laser powder bed fusion (LPBF) is
essential to provide more effective control of the process and choose an optimal set of input …