TY - JOUR
T1 - Analytical multi-physics model of microstructure changes in hard turning of AISI 52100 steel
T2 - prediction of thicknesses of white and dark layers
AU - Zemzemi, F.
AU - Khochtali, H.
AU - Salem, W. Ben
AU - Alzahrani, B.
AU - Ben Youssef Bouazizi, Mohamed Lamjed
N1 - Publisher Copyright:
© 2020, The Author(s), under exclusive licence to Springer-Verlag London Ltd. part of Springer Nature.
PY - 2021/2
Y1 - 2021/2
N2 - Hard turning is more and more considered by the industry as a possible and good option for the process of grinding or pre-grinding. However, it is hurdled to a very great extent by surface integrity problems, to wit, for example, the microstructure transformations and the tensile residual stresses (white layers (WLs) and dark layers (DLs)), which are generally found to have negative effects on the stress corrosion, wear resistance, and fatigue life of machined parts. The optimization of this process has become the focus of experts. This paper presents a thermo-mechanical model able to predict the thicknesses of WLs and DLs during the orthogonal cuts of the hardened steel AISI 52100. The model combines the temperature, stress, and strain effects on the phase transformation mechanism to predict the thicknesses of layers. Unlike a similar model, presented in the literature, our developed approach firstly predicts the cutting forces for each tested condition. Secondly, it evaluates the thermo-mechanical loads on the machined surface. Thirdly, it evaluates the austenite transformation temperature. Therefore, it is possible to predict the WL and DL thicknesses for selected cutting conditions. This multi-physics model provides cutting force and layer thickness results close to those obtained experimentally in the literature. Analyzing the effect of the cutting conditions on the affected layer thickness reveals that the WL thickness increases with the rise in the cutting speed and the feed rate. Moreover, the flank wear has a greater effect on the thicknesses of layers.
AB - Hard turning is more and more considered by the industry as a possible and good option for the process of grinding or pre-grinding. However, it is hurdled to a very great extent by surface integrity problems, to wit, for example, the microstructure transformations and the tensile residual stresses (white layers (WLs) and dark layers (DLs)), which are generally found to have negative effects on the stress corrosion, wear resistance, and fatigue life of machined parts. The optimization of this process has become the focus of experts. This paper presents a thermo-mechanical model able to predict the thicknesses of WLs and DLs during the orthogonal cuts of the hardened steel AISI 52100. The model combines the temperature, stress, and strain effects on the phase transformation mechanism to predict the thicknesses of layers. Unlike a similar model, presented in the literature, our developed approach firstly predicts the cutting forces for each tested condition. Secondly, it evaluates the thermo-mechanical loads on the machined surface. Thirdly, it evaluates the austenite transformation temperature. Therefore, it is possible to predict the WL and DL thicknesses for selected cutting conditions. This multi-physics model provides cutting force and layer thickness results close to those obtained experimentally in the literature. Analyzing the effect of the cutting conditions on the affected layer thickness reveals that the WL thickness increases with the rise in the cutting speed and the feed rate. Moreover, the flank wear has a greater effect on the thicknesses of layers.
KW - AISI 52100
KW - Flank wear
KW - Hard machining
KW - Multi-physics model
KW - Thicknesses of white and dark layers
UR - https://www.scopus.com/pages/publications/85099029050
U2 - 10.1007/s00170-020-06521-1
DO - 10.1007/s00170-020-06521-1
M3 - Article
AN - SCOPUS:85099029050
SN - 0268-3768
VL - 112
SP - 2755
EP - 2771
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
IS - 9-10
ER -