Recent trends in metal cutting shows the increasing of demand at the global stage for the application of eco-friendly machining approaches in order to eliminate the adverse effects of conventional cutting fluids. Thus, this experimental work was conducted to evaluate the performance of sustainable cooling techniques of cryogenic carbon dioxide (CO₂), Minimum Quantity Lubrication (MQL), cryogenic liquid nitrogen (LN₂) and dry cutting on machinability of Inconel 718. For the cryogenic CO₂ approach, a new concept of cryogenic cooling technique was introduced for efficient and consistent cooling performance. The findings displayed cryogenic CO₂ as a promising coolant since it resulted in slower tool wear rate compared to cryogenic LN₂ and dry cutting, while being more effective in decreasing cutting forces and surface roughness compared to other approaches. Its adequate and consistent cooling efficiently disperses the generated heat and creates an ideal cutting condition for the tool and workpiece to interact with each another during cutting. In contrast to MQL cutting, the usefulness of CO₂ was supplanted due to the resulting shorter tool life. As such, the MQL approach is preferred as it extends the tool life longer by 67.2% with the maximum volume of material removal as compared to cryogenic CO₂. Its lubrication impact shows effectiveness in diminishing the tool wear rate than the cooling effect by the cryogenic CO₂. However, from the viewpoint of sustainability, MQL could be less preferable due to unpleasant odour and settling of MQL mist around the cutting area.

金属切削的最新趋势表明，在全球范围内，为了消除传统切削液的不利影响，对生态友好型加工方法的需求不断增长。因此，进行了该实验工作，以评估低温二氧化碳（CO ₂），最小润滑量（MQL），低温液态氮（LN ₂）和干切削对Inconel 718的可切削性的可持续冷却技术的性能。引入了CO ₂方法，这是一种低温冷却技术的新概念，可实现高效且稳定的冷却性能。研究结果表明，低温CO ₂是有前途的冷却剂，因为与低温LN相比，它导致较慢的刀具磨损率₂和干切削，与其他方法相比，在降低切削力和表面粗糙度方面更有效。其充分而稳定的冷却有效地分散了产生的热量，并为切割过程中工具和工件相互相互作用创造了理想的切割条件。与MQL切削相反，由于缩短了刀具寿命，因此取代了CO _2的使用。因此，MQL方法是优选的，因为与低温CO ₂相比，它在最大材料去除量的情况下将工具寿命延长了67.2％。与低温CO ₂的冷却效果相比，其润滑效果显示出在降低工具磨损率方面的有效性。。但是，从可持续性的角度来看，由于难闻的气味和MQL薄雾在切割区域周围的沉淀，MQL可能不太理想。