Abstract
In recent years, the need for eco-friendly machining processes has increased dramatically in order to limit the excessive use of conventional cutting fluids, thereby reducing their negative effects on both the environment and the operator’s health. In this context, environmental alternatives such as dry cutting, minimum quantity lubrication (MQL), and nanofluid-assisted MQL have been demonstrated to be effective in overcoming this problem. In the present work, an attempt was made to improve the machining characteristics performance in turning of AISI 304 austenitic stainless steel (ASS) under dry, MQL and nanofluids, and hybrid nanofluid-assisted MQL conditions, with respect to surface roughness (Ra), main cutting force (Fc), and cutting temperature (T). The main purpose of this experimental study is to evaluate and compare the effect of dispersed nano-additives into the vegetable cutting fluid on the responses under consideration. As nano-additives, multi-walled carbon nanotube (MWCNT), nano molybdenum disulfide (MoS2), and nano graphene particles have been used. Additionally, the effects of lubricating conditions on flank wear (VB) were investigated. In the end, statistical analysis, regression modeling, and multi-criteria optimization based on desirability function were performed. The results revealed that the Ra, Fc, and T as well as VB were found to be lower with the use of nano graphene-reinforced nanofluid-assisted MQL followed by nano graphene/MoS2-reinforced hybrid nanofluid-assisted MQL, MWCNT/MoS2-reinforced hybrid nanofluid-assisted MQL, MWCNT-reinforced nanofluid-assisted MQL, nano MoS2-reinforced nanofluid-assisted MQL, and MQL, respectively, as compared to dry condition. Finally, it is worth mentioning that the nano graphene has the capability to perform as a lubricant/coolant, thus contributing positively to the turning process.
Highlights
Machining of AISI 304 (ASS), which is extensively employed in various industrial applications, is wellknown as a very challenging due to its low thermal conductivity and work hardening tendency
Arithmetic means of Ra under dry, minimum quantity lubrication (MQL), MoS2-MQL, MWCNTMQL, graphene-MQL, hybrid-1-MQL and hybrid-2-MQL conditions were determined as 1.33 μm, 1.27 μm, 1.19 μm, 1.13 μm, 0.98 μm, 1.09 μm and 1.04 μm, respectively
The addition of nanoparticles to the vegetable cutting fluid in MQL system induced the surface to be smoother and lower surface roughness values were obtained as compared to pure MQL condition
Summary
Machining of AISI 304 (ASS), which is extensively employed in various industrial applications, is wellknown as a very challenging due to its low thermal conductivity and work hardening tendency. No published researches were found out in literature that assessed and compared the effects of dispersed nano graphene, nano MoS2 and MWCNT particles and their hybrids such as nano graphene/MoS2 and MWCNT/MoS2 enriched MQL into the vegetable cutting fluid on different machining responses With this objective, an attempt was made in this study to improve the machining characteristics performance with respective of surface roughness (Ra), main cutting force (Fc), cutting temperature (T) and flank wear (VB) by adding MWCNT, nano MoS2, nano graphene particles and their hybrids (MWCNT/MoS2 and nano graphene/MoS2) to the vegetable cutting fluid in straight turning of AISI 304 (ASS). To explicate the experimental findings from different aspects, statistical analysis, regression modeling and multi-criteria optimization were performed
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