Investigation of tooltip temperature and surface roughness in turning of AISI 1045 steel with coconut oil-based hybrid nanofluid under MQL technology

Abstract

Over the past few years, positive changes have occurred in the manufacturing industry and many other fields as a direct result of current breakthroughs in nanotechnology. The integration of nano-sized solid lubricants into aerosols, suspensions, and emulsions can lead to an enhancement of the end product's tribological and thermal properties. This is because of the constituent materials' unique chemical and physical properties. Therefore, this makes it possible for lubricants or coolants to perform their functions to attain a high level of productivity in machining processes. This study aimed to investigate the effect on average surface roughness and tooltip temperature in turning AISI 1045 steel with novel coconut oil-based hybrid nanofluid under MQL technology. Al2O3 and TiO2 were chosen as the two nanoparticles to use in the experiments after conducting a survey of the relevant research in the field. In order to reach this aim, Taguchi's L16 orthogonal array, which is comprised of four factors, was utilized. Concentrations of Al2O3, TiO2, cutting speed, and air pressure are the four factors considered in this study. In this experimental design, the responses considered were average surface roughness and the temperature of the tooltip. Using the Minitab 17 software, the model fitting and optimization were carried out. The values that recorded as being optimal were, • • 0.75 wt. % of Al2O3, • • 0.00 wt. % of TiO2, • • 2.5 bar of air pressure, • • 96 m/ min of cutting speed

As a direct consequence, it is clear that the developed MWFs show significantly higher performance than the other two techniques, dry cutting and coconut oil-based MQL cooling. The percentages show a 23.92 % and 37.97 % reduction in tooltip temperature compared to dry cutting conditions for MQL+ CC and Nano+ MQL+CC conditions, respectively. Also, the average surface roughness was reduced by 33.87 % and 94.85 % compared to dry cutting conditions for MQL+ CC and Nano+ MQL+CC conditions, respectively. For future work, we can use thermophysical and tribological factors rather than cost as a determining factor for better