Microstructure features directly reflect mechanical responses during material deformation
and can influence the surface integrity of machined components, which is of great interest to …

During the last few decades, there has been significant progress in developing industry-
driven predictive models for machining operations. This paper presents the state-of-the-art in …

This paper reviews recent advances in constitutive and friction data and models for
simulation of metal machining. Phenomenological and physically-based constitutive models …

Material removal in the cutting process is regarded as a friction system with multiple input
and output variables. The complexity of the cutting friction system is caused by the extreme …

Ultra-precision diamond cutting is a promising machining technique for realizing ultra-
smooth surface of different kinds of materials. While fundamental understanding of the …

A wide range of parameters is available in the literature for the Johnson-Cook constitutive
model, the most used flow stress in metal cutting modelling. This strength of the Johnson …

In this study, an approach based on artificial neural network (ANN) was proposed to predict
the experimental cutting temperatures generated in orthogonal turning of AISI 316L stainless …

Complex surfaces are widely used in aerospace, energy, and national defense industries.
As one of the major means of manufacturing such as complex surfaces, the multi-axis …

Numerical modeling of metal cutting is a complex problem involving many nonlinear and
coupled phenomena (high speed, large strains, large strain-rates, heat generation, etc.) …

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 …