Sustainable Machining

The turning operation was performed using two levels of cutting speed while the feed rate and depth of cut were kept fixed. The SEM images were analyzed for worn toolsurfaces and machined surfaces. The microhardness analysis indicated heat-based attention in the turned workpiece; thus, the heat-based effect was lowest in MQL compared to RHVT, compressed air, and dry conditions. Results demonstrated MQL can significantly lower tool tip temperature by up to 16 %, tool wear by up to 102%-106%, average cutting forces by 17% -21%, surface roughness reduced by experiments in Stage II were performed on Al7075-T6 alloy by selecting Taguchi'sorthogonal array technique with three control factors and four levels for every factor, the experimental design matrix was created via Minitab 17 statistical tool11% -21% and energy consumption by 4.4 -3.7% as compared to dry conditions.A depth of 1 mm was fixed for all the experiments conducted. To lower the noise errors and develop more precise output results, every group of the experimental run was done three times, for a total of 48 trials (16 ×3 runs).

Autorentext

Dr. Jasjeevan Singh has completed a Doctor of Philosophy in Mechanical Engineering from IKG Punjab Technical University Kapurthala, Punjab, India. He is presently working as Assitant Professor in the Department of Mechanical Engineering at khalsa College of Engineering & Technology, Amritsar.