Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent
years and are considered by both academia and industry to be key enablers for Industry 4.0 …

This paper presents a review of recent advances in modeling and simulation of conventional
metal machining processes, which continue to dominate a significant part of all machining …

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 …

The here developed friction model for numerical simulations of machining processes takes
account of the physical‐mechanical phenomena occurring in different cutting zones by …

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 …

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 …

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 …

The prediction of the tool wear progression using numerical methods has been widely
studied in recent years, and various wear models considering different wear mechanisms …

In this work, we apply the Particle Finite Element Method (PFEM) and Smoothed Particle
Hydrodynamics (SPH) to simulate the orthogonal cutting chip formation of two workpiece …