Nanofluids in minimum quantity lubrication (MQL) machining is gaining grounds with environment consciousness enhanced laws and regulations consummated. Researchers have worked upon several aspects related to the characteristics and applications of nanofluids in MQL machining. The present work is an effort to review some of these works and to understand the effect of the size, shape, type, concentration, and thermal conductivity of nanoparticles, and the type and thermal conductivity of the base fluid on process performance. The review shows that the thermophysical, tribological, and wetting characteristics of nanofluids and the MQL parameters affect the process performance. Further, the MQL machining performance has been reported as significantly varying by the augmentation of nanofluids by a unique kind of nanoparticles and/or mixed with different types of nanoparticles (hybrid nanofluid). Nanofluids, namely graphene oxide and paraffin-based and soybean-based mixed with MoS₂ nanoparticles and hybrid nanofluids, namely alumina-multiwalled carbon nanotubes and alumina-graphene reported as imparting superior lubrication and cooling effects under MQL machining. However, thermophysical and wetting characteristics of hybrid nanofluids with aging and issues related to clustering of nanoparticles at higher concentrations need to be researched for the utmost advantage of their usage in machining processes. The present work finally lists down certain areas that can be taken up for further research in the hybridization of nanofluids and their long-term stability to get a synergistic effect on the MQL machining performance.

最低限度润滑（MQL）加工中的纳米流体随着对环境意识的增强法律法规的完善而获得了发展。研究人员已经研究了与纳米流体在MQL加工中的特性和应用有关的几个方面。当前的工作是回顾这些工作中的一些工作，并了解纳米颗粒的大小，形状，类型，浓度和导热率以及基础流体的类型和导热率对过程性能的影响。审查表明，纳米流体的热物理，摩擦学和润湿特性以及MQL参数会影响工艺性能。更多，据报道，MQL的加工性能因独特种类的纳米颗粒增加纳米流体和/或与不同类型的纳米颗粒（混合纳米流体）混合而显着变化。纳米流体，即氧化石墨烯和石蜡基以及大豆基与MoS混合_2种纳米颗粒和杂化纳米流体，即氧化铝多壁碳纳米管和氧化铝-石墨烯据报道在MQL加工下具有出色的润滑和冷却效果。然而，需要研究杂化纳米流体的热物理和润湿特性，以及其老化以及与较高浓度的纳米颗粒团聚有关的问题，以使其在加工过程中得到最大利用。本工作最后列出了可以在纳米流体杂交及其长期稳定性方面进行进一步研究的某些领域，以对MQL加工性能产生协同作用。