AI Article Synopsis

  • * The article discusses four numerical models to study micro-cutting of hardened steel, including Smooth Particle Hydrodynamics and three types of finite element models, aiming to understand how tool edge radius affects cutting forces, chip shape, and stress distribution.
  • * Results show that both the Finite Element (Lagrangian) and SPH models align well with experimental data for size effects, though each has limitations, and the paper concludes by comparing all four models to identify the best approach for modeling micro-cutting processes.

Article Abstract

Micromachining allows the production of micro-components with complex geometries in various materials. However, it presents several scientific issues due to scale reduction compared to conventional machining. These issues are called size effects. At this level, micromachining experiments raise technical difficulties and significant costs. In this context, numerical modeling is widely used in order to study these different size effects. This article presents four different numerical models of micro-cutting of hardened steel, a Smooth Particle Hydrodynamics (SPH) model and three finite element (FE) models using three different formulations: Lagrangian, Arbitrary Eulerian-Lagrangian (ALE) and Coupled Eulerian-Lagrangian (CEL). The objective is to study the effect of tool edge radius on the micro-cutting process through the evolution of cutting forces, chip morphology and stress distribution in different areas and to compare the relevance of the different models. First, results obtained from two models using FE (Lagrangian) and SPH method were compared with experimental data obtained in previous work. It shows that the different numerical methods are relevant for studying geometrical size effects because cutting force and stress distribution correlate with experimental data. However, they present limits due to the calculation approaches. For a second time, this paper presents a comparison between the four different numerical models cited previously in order to choose which method of modeling can present the micro-cutting process.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9317438PMC
http://dx.doi.org/10.3390/mi13071079DOI Listing

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