Towards Sustainable Machining of Inconel 718 Using Nano-Fluid Minimum Quantity Lubrication

Journal of Manufacturing and Materials Processing

Hussien Hegab¹  HossamA. Kishawy¹ 

[1] Machining Research Laboratory (MRL), Faculty of Engineering and Applied Science, University of Ontario Institute of Technology (UOIT), Oshawa, ON L1H 7K4, Canada;

关键词: Inconel 718;    minimum quantity lubrication;    nano-fluid;    surface roughness;    energy consumption;   

DOI  :  10.3390/jmmp2030050

来源: DOAJ

【 摘 要 】

Difficult-to-cut materials have been widely employed in many engineering applications, including automotive and aeronautical designs because of their effective properties. However, other characteristics; for example, high hardness and low thermal conductivity has negatively affected the induced surface quality and tool life, and consequently the overall machinability of such materials. Inconel 718, is widely used in many industries including aerospace; however, the high temperature generated during machining is negatively affecting its machinability. Flood cooling is a commonly used remedy to improve machinability problems; however, government regulation has called for further alternatives to reduce the environmental and health impacts of flood cooling. This work aimed to investigate the influence of dispersed multi-wall carbon nanotubes (MWCNTs) and aluminum oxide (Al2O3) gamma nanoparticles, on enhancing the minimum quantity lubrication (MQL) technique cooling and lubrication capabilities during turning of Inconel 718. Machining tests were conducted, the generated surfaces were examined, and the energy consumption data were recorded. The study was conducted under different design variables including cutting speed, percentage of added nano-additives (wt.%), and feed velocity. The study revealed that the nano-fluids usage, generally improved the machining performance when cutting Inconel 718. In addition, it was shown that the nanotubes additives provided better improvements than Al2O3 nanoparticles.

【 授权许可】

Unknown