Nano Minimum Quantity Lubrication (NFMQL) is an environmentally sustainable strategy that provides benefits similar to conventional cooling strategies. The literature provides sufficient experimental studies to attest the benefits of NFMQL machining; however, numerical modeling of NFMQL machining has not received significant attention. Since machining with coolant is a Multiphysics phenomenon, Finite Element Method (FEM) and Computational Fluid Dynamics (CFD) are needed to construct a dependable numerical model. The overall objective of this study was to develop a FEM-CFD coupled numerical model that could reliably predict cutting force and cutting temperature in the NFMQL machining of Ti-6Al-4v. Additionally, multiphase CFD models for NFMQL flow simulation and FEM simulations to capture interface friction in NFMQL machining were also investigated. Orthogonal machining experiments of Ti-6Al-4v were conducted to obtain cutting force and cutting temperature data for dry, NFMQL, Minimum Quantity Lubrication (MQL), and flood cooling strategies. The experimental data was used to validate the numerical model developed for NFMQL machining. Further, experiments were conducted to calculate the heat transfer coefficient (h) for NFMQL flow and to calculate coefficient of friction value (µ) in a NFMQL machining process. A multiphase CFD model developed for NFMQL flow predicted the heat transfer coefficient with an average error of 13%. A novel FEM simulation to capture the effect of rolling nanoparticles on cutting force was also presented. A FEM-CFD sequential model and a coupled model were developed to simulate the NFMQL machining process. The coupled model predicted the cutting force with an average error of 11.27% while the sequential model had an average error of 9.16%. The average error in temperature prediction was 11.50% for the coupled model and 9.61% for the sequential model. The error of the coupled model was higher than the sequential model since a constant film coefficient value was utilized for elements with different temperatures along the boundary film. However, both models provide better accuracy than other numerical models available in literature. The coupled model framework developed can be applied to any cooling strategy and is the first step towards achieving high level coupling between FEM and CFD codes for a machining simulation.