Numerical modeling of the influence of process parameters and workpiece hardness on white layer formation in AISI 52100 steel

White layer formation is considered to be one of the most important aspects to take into account in hard machining. Therefore, a large number of experimental investigations have been carried out in recent times on the formation mechanisms and properties of the white layer. However, up to now, only very few studies have been reported on modeling of the white layer formation. This paper presents a finite element model which predicts the white layer formation during machining of hardened AISI 52100 steel. This numerical model was properly calibrated by means of an iterative procedure based on the comparison between experimental and numerical data. The empirical model was also validated for a range of cutting speeds, uncut chip thickness, and material hardness values. This study provides excellent results concerning cutting force, temperature, chip morphology, and white layer. From this study, it was also possible to properly analyze the influence of process variables on the white layer formation.

[1]  Mohammad Sheikh,et al.  An investigation of heat partition and tool wear in hard turning of H13 tool steel with CBN cutting tools , 2008 .

[2]  T. I. El-Wardany,et al.  PHYSICS-BASED SIMULATION OF HIGH SPEED MACHINING , 2002 .

[3]  Shreyes N. Melkote,et al.  Analysis of white layers formed in hard turning of AISI 52100 steel , 2005 .

[4]  Shreyes N. Melkote,et al.  Modeling of white layer formation under thermally dominant conditions in orthogonal machining of hardened AISI 52100 steel , 2008 .

[5]  Yuebin Guo,et al.  The influence of machining induced residual stress and phase transformation on the measurement of subsurface mechanical behavior using nanoindentation , 2006 .

[6]  S. Nutt,et al.  Adiabatic shear band formation during dynamic torsional deformation of an HY-100 steel , 1993 .

[7]  A. Moisan,et al.  Hard Turning: Chip Formation Mechanisms and Metallurgical Aspects , 1999, Manufacturing Science and Engineering.

[8]  Yuebin Guo,et al.  An experimental investigation of white layer on rolling contact fatigue using acoustic emission technique , 2005 .

[9]  J. L. Lebrun,et al.  A study of the influence of the metallurgical state on shear band and white layer generation in 100Cr6 steel: application to machining , 2007 .

[10]  Tuğrul Özel,et al.  Finite element modeling the influence of edge roundness on the stress and temperature fields induced by high-speed machining , 2007 .

[11]  R. Ghosh,et al.  Investigation of White Layers Formed in Conventional and Cryogenic Hard Turning of Steels , 2003 .

[12]  Wanci Shen,et al.  Microstructures of surface white layer and internal white adiabatic shear band , 1997 .

[13]  I. Jawahir,et al.  Tool-wear mechanisms in hard turning with polycrystalline cubic boron nitride tools , 2001 .

[14]  Christopher J. Evans,et al.  White Layers and Thermal Modeling of Hard Turned Surfaces , 1997, Manufacturing Science and Engineering: Volume 2.

[15]  J. Duffy,et al.  Shear band formation in 4340 steel: A TEM study☆ , 1994 .

[16]  P. Robert,et al.  Effect of carbides and cutting parameters on chip morphology and cutting temperature during orthogonal hard turning of 100Cr6 bearing steel with a CBN cutting tool , 2006 .

[17]  Gerry Byrne,et al.  TEM study on the surface white layer in two turned hardened steels , 2002 .

[18]  Hui Song,et al.  Thermal modeling for white layer predictions in finish hard turning , 2005 .

[19]  D. Umbrello,et al.  Hardness-based flow stress and fracture models for numerical simulation of hard machining AISI 52100 bearing steel , 2004 .