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The advancement in the materials science domain has led to the development of many
robust composite alloys yielding high tensile strength, low density, and good corrosion resistance.
One of such materials is the Titanium-Aluminum-Vanadium Alloy TI6Al4V. The addition of
Aluminum and Vanadium compounds enhances the overall material hardness in the alloy matrix,
thus improving its physical and mechanical properties. During Orthogonal cutting, the flow stress
distribution, cutting forces, and surface finish of the working material play a vital role in predicting
the material response via utilizing the Finite Element Analysis (FEA) methodology coupled with
the Arbitrary Eulerian-Lagrangian (ALE) meshing during simulations performed in ABAQUS
platform in orthogonal cutting analysis. The Johnson-Cook (J-C) model is utilized in finite element
analysis of metal cutting as it can efficiently model considerations for temperature-dependent
visco-plasticity, higher material strain rates, and larger von mises stresses, while incorporating key
features including strain hardening of material, strain rate sensitivity, and heat softening. Our
Research aims to formulate a Numerical Finite Element Analysis (FEA) based Model which
incorporates a wider range of Johnson-Cook (JC) model test sets totaling to 32 simulated sets of
JC Parameters (A, B, C, m, and n) in order to identify the optimum JC test set which would allow
us to confirm the model characteristics including Cutting Force, Chip Morphology and Surface
Finish, Feed Force/Reaction Force, and Von Mises Stress Distribution during the orthogonal
cutting of the Ti6Al4V material. Furthermore, the analysis will provide insights into optimizing
machining parameters to enhance productivity, minimize tool wear, and improve surface quality
in Ti6Al4V machining operations.