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 …

A discontinuous smoothed particle hydrodynamics (DSPH) method considering block
contacts is originally developed to model the cracking, frictional slip and large deformation in …

Machining is one of the final steps in the manufacturing value chain, where the dimensional
tolerances are fine-tuned, and the functional surfaces are generated. Many factors such as …

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

This paper addresses the need of rapid thermomechanical simulation of metal additive
manufacturing by presenting a fully vectorized implementation of predicting 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 …

In most of the manufacturing industry, turning is one of the essential machining operation,
due to which the study of the turning tool becomes a necessary part for most of the …

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 …

The manufacturing processes and design of metal and alloy products can be performed over
a wide range of strain rates and temperatures. To design and optimize these processes …