Sustainable Manufacturing has gained a widespread acceptance in today's manufacturing industry. This paper accentuates the need for environment-friendly lubrication with the help of Minimum Quantity Lubrication or Near Dry Machining. Minimum Quantity Lubrication (MQL) uses an atomizing nozzle in order to create fine droplets which on hitting the hot machining zone dissipates the heat and provides lubrication. In contrast to the flood coolant, MQL technology increases the surface area of contact with each droplet hence optimizing the coolant to the maximum extent by reducing harmful fumes, improving cutting performance and favorably reducing coolant consumption. Due to the rotating grinding wheel, a hydrodynamic boundary layer is formed around it, producing a back air flow which possesses enough momentum to oppose the incoming cutting fluid, restricting it to reach the machining zone. Thus, it is of prime importance to penetrate this air cushion forming the boundary layer to effectively cool and lubricate the grinding region. This could be only achieved when the oil droplet velocity is significantly greater than the grinding wheel's tangential velocity. In this work, various parameters including droplet size & velocity have been determined for improving the spray on the basis of flow rate and inlet air pressure in MQL nozzle using commercially available CFD solver Ansys Fluent. Further, Heat Transfer Modeling is also carried out both computationally and analytically in order to find the heat taken away by the MQL oil. The computational results validated the experimental analysis carried out for the droplet diameter and analytical model for the heat flux. Multiphase model DPM was preferred over VOF since it tracks each and every parcel coming out from the injection surface within the computational domain. The oil droplet size if found to be a function of air pressure and flow rate of the atomizer and the Heat flux on workpiece decreased with increase in oil flow rate. © 2017 Elsevier Ltd.