With the growing demand for sustainable machining, this has focused interest on finding sustainable alternatives to traditional cutting that is energy consuming, fast tool change and has negative environmental impact. A cleaner method is Nanofluid minimum quantity lubrication (MQL) which involves using cutting fluid in reduced quantities to achieve appropriate lubrication and cooling. In this study, the surface roughness, tool wear, material removal rate, cutting power, specific cutting energy and carbon emission of the nanofluid-MQL process were studied. The effect of cutting speed, feed rate, depth of cut and lubrication condition on the aspect of quality of machining, degradation of tool and energy and environmental performances are analyzed by using a narrative mathematical model. The results revealed that machining performance can be improved using nanofluid-MQL, as it provides excellent lubrication, lower friction, and more stable chip formation, which results in lower surface roughness, lower tool wear, and lower specific cutting energy. The study has developed a comprehensive sustainable machining model that connects machining parameters with tool life, surface integrity, energy usage and carbon emission, which can facilitate the realization of cleaner production and more energy efficient manufacturing systems.
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