A novel numerical modeling approach to determine the temperature distribution in the cutting tool using conjugate heat transfer (CHT) analysis

This study deals with the conjugate heat transfer problem of a single point cutting tool under turning operation dissipating heat in the tool material and streams of the surrounding air. In order to estimate the cutting temperature during the turning operation, the DEFORM-3D finite element package was utilized. A machining simulation material model for Ti6Al4V was utilized using a modified Johnson–Cook equation. The maximum cutting temperature value was obtained from the finite element model. The temperature was then used as a constant heat source on the tool tip, and the conjugate heat transfer (CHT) approach was used to develop a computational fluid dynamics (CFD) model. The CFD model utilized a 3D heat and fluid flow analysis using ANSYS® CFX. A cutting insert with a constant heat source was exposed to the stream velocities of the dry air. The numerical equations governing the flow and thermal fields in the fluid domain and energy equation in the solid domain were solved in parallel by maintaining the continuity of temperature and heat flux at the solid–fluid interface. The presented conjugate heat transfer (CHT) approach provided a very useful understanding of the temperature profile development at the cutting tool that is still a complex challenge for the existing experimental and numerical techniques.

[1]  João Roberto Ferreira,et al.  Thermal analysis in coated cutting tools , 2009 .

[2]  Tuğrul Özel,et al.  Predictive Analytical and Thermal Modeling of Orthogonal Cutting Process—Part I: Predictions of Tool Forces, Stresses, and Temperature Distributions , 2006 .

[3]  Hao Xu,et al.  An improved three-dimensional inverse heat conduction procedure to determine the tool-chip interface temperature in dry turning , 2013 .

[4]  Tuğrul Özel,et al.  Predictive Analytical and Thermal Modeling of Orthogonal Cutting Process—Part II: Effect of Tool Flank Wear on Tool Forces, Stresses, and Temperature Distributions , 2006 .

[5]  Takashi Ueda,et al.  Temperature Measurement of CBN Tool in Turning of High Hardness Steel , 1999 .

[6]  S. R. S. Kalpakjian Manufacturing Processes for Engineering Materials , 1984 .

[7]  Forooza Samadi,et al.  Estimation of heat flux imposed on the rake face of a cutting tool: A nonlinear, complex geometry inverse heat conduction case study , 2012 .

[8]  Takashi Ueda,et al.  The Temperature of a Single Crystal Diamond Tool in Turning , 1998 .

[9]  M. C. Shaw Metal Cutting Principles , 1960 .

[10]  Tuğrul Özel,et al.  Journal of Materials Processing Technology Computational Modelling of 3d Turning: Influence of Edge Micro-geometry on Forces, Stresses, Friction and Tool Wear in Pcbn Tooling , 2022 .

[11]  Mohammad Sima,et al.  Modified material constitutive models for serrated chip formation simulations and experimental validation in machining of titanium alloy Ti–6Al–4V , 2010 .

[12]  Y. Karpat Temperature dependent flow softening of titanium alloy Ti6Al4V: An investigation using finite element simulation of machining , 2011 .

[13]  C. Tsao,et al.  Determination of temperature distributions on the rake face of cutting tools using a remote method , 1997 .

[14]  T. Özel,et al.  Investigations on the effects of friction modeling in finite element simulation of machining , 2010 .

[15]  Mark R. Miller,et al.  Experimental Cutting Tool Temperature Distributions , 2003 .

[16]  Paul Mativenga,et al.  An investigative study of the interface heat transfer coefficient for finite element modelling of high-speed machining , 2008 .

[17]  Mohammad Sima,et al.  Investigations on the effects of multi-layered coated inserts in machining Ti–6Al–4V alloy with experiments and finite element simulations , 2010 .

[18]  I. Llanos,et al.  3D FINITE ELEMENT MODELLING OF CHIP FORMATION PROCESS FOR MACHINING INCONEL 718: COMPARISON OF FE SOFTWARE PREDICTIONS , 2011 .