EXPERIMENTAL STUDY AND OPTIMIZATION OF MACHINING PARAMETERS IN MILLING PROCESS OF INCONEL-718

Eswar Balachandar. G; Sambaturu Gopi. S; V. Mahidhar Reddy

doi:10.29121/shodhkosh.v5.i1.2024.3548

Authors

Eswar Balachandar. G Asst. Professor, Department of Mechanical Engineering, Annamacharya Institute of Technology and sciences, Rajampet, Annamayya Dist. Andhra Pradesh, India
Sambaturu Gopi. S Asst. Professor, Department of Mechanical Engineering, Adithya College of Engineering, Madanapalle, Annamayya Dist. Andhra Pradesh, India
Dr. V. Mahidhar Reddy Asst. Professor, Department of Mechanical Engineering, Institute of Aeronautical Engineering, Hyderabad, Telangana, India

DOI:

https://doi.org/10.29121/shodhkosh.v5.i1.2024.3548

Keywords:

Grey Relational Analysis, Inconel 718, Material Removal Rate, Surface Roughness, Optimization

Abstract [English]

The aim of this study was to optimize the end milling of Inconel 718, a hard-to-machine alloy, owing to its nickel content, using Grey Relational Analysis (GRA). The primary goal was to identify and implement the optimal cutting parameters. One of the key parameters investigated was the diameter of the tool and speed of the spindle. The study results reveal that 0.9 mm depth of cut, 1400 rpm spindle speed, and 8 mm tool diameter resulted in significant improvements. Compared to 0.54 cc/min before, the material removal rate (MRR) is much higher from 2.16 to 2.16 cc/min after. The surface roughness (Ra) was approximately 0.742 m, and the material removal rate (MRR) was approximately 0.208 m. There are profound implications for the aerospace and automotive industries, which frequently use Inconel 718. The machining efficiency and product quality can be improved by implementing the identified optimal parameters. GRA can be useful in optimizing Inconel 718 machining in a manner that improves both material removal rates and surface quality, thus demonstrating its feasibility and originality.

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