A Physically Based Constitutive Model for Predicting the Surface Integrity in Orthogonal Machining of AISI 52100 Steel

The modification of surface characteristics, including microstructure, hardness variation and phase composition, is of great importance for the functional performance and reliability of machined components. Therefore, accurate, physically-based numerical models are needed to predict the material behavior by considering both thermal and mechanical effects. This study models metallurgical changes during dry orthogonal turning of AISI 52100 steel, varying tool tip geometry, initial material hardness, feed and cutting speed by a 2D finite element (FE) model that incorporates a physically-based constitutive law for material flow stress and a customized subroutine to predict grain size, material hardness and dislocation density evolution due to machining process. Furthermore, the model evaluates the transformation of martensite volume fraction in the affected layer of the workpiece, accounting for plastic deformation, cooling rate and austenitizing temperature. The proposed methodology was validated against experimental data predicting thermally and mechanically induced metallurgical phenomena and enabling the computation of grain size refinement, microhardness variation, machining-affected layers and phase transformation kinetics during the cooling phase.

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Publication Details

Journal
Procedia CIRP
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procir.2025.02.108
Primary Topic
Advanced machining processes and optimization
Type
article
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article

A Physically Based Constitutive Model for Predicting the Surface Integrity in Orthogonal Machining of AISI 52100 Steel

Domenico Umbrello, Stano Imbrogno, Luigino Filice, Serafino Caruso
Procedia CIRP
Advanced machining processes and optimization
article

A Physically Based Constitutive Model for Predicting the Surface Integrity in Orthogonal Machining of AISI 52100 Steel

Domenico Umbrello, Stano Imbrogno, Luigino Filice, Serafino Caruso
article en

Abstract

The modification of surface characteristics, including microstructure, hardness variation and phase composition, is of great importance for the functional performance and reliability of machined components. Therefore, accurate, physically-based numerical models are needed to predict the material behavior by considering both thermal and mechanical effects. This study models metallurgical changes during dry orthogonal turning of AISI 52100 steel, varying tool tip geometry, initial material hardness, feed and cutting speed by a 2D finite element (FE) model that incorporates a physically-based constitutive law for material flow stress and a customized subroutine to predict grain size, material hardness and dislocation density evolution due to machining process. Furthermore, the model evaluates the transformation of martensite volume fraction in the affected layer of the workpiece, accounting for plastic deformation, cooling rate and austenitizing temperature. The proposed methodology was validated against experimental data predicting thermally and mechanically induced metallurgical phenomena and enabling the computation of grain size refinement, microhardness variation, machining-affected layers and phase transformation kinetics during the cooling phase.

Procedia CIRPVol. 133
University of Calabria (IT), University of Birmingham (GB)
Sustainable cities and communities
Openalex Percentile: Top 94%
Advanced machining processes and optimization
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A Physically Based Constitutive Model for Predicting the Surface Integrity in Orthogonal Machining of AISI 52100 Steel — Domenico Umbrello, Stano Imbrogno, et al. · Procedia CIRP (2025) | TGRS Research Map | TGRS