Journal Of Applied and Computational Sciences in Mechanics

Journal Of Applied and Computational Sciences in Mechanics

Experimental and statistical examination the effects of machining parameters and insert type on tool wear and surface quality in turning of Inconel 718

Document Type : Original Article

Authors
Manufacturing engineering department, Arak university of technology, Arak, Iran
Abstract
Inconel 718 is a nickel-based superalloy widely used in advanced industries such as aerospace and energy due to its excellent resistance to heat, pressure, and corrosion. However, machining this alloy is highly challenging due to its hardness and tendency to cause rapid tool wear, making it a demanding process for producing precision components. This study examines the effects of machining parameters on tool wear and surface roughness during the turning of Inconel 718. Using the Taguchi design of experiments and desirability optimization method, the influence of feed rate, depth of cut, spindle speed, and insert type on tool wear and surface roughness was evaluated. The results revealed that feed rate had the most significant impact, while depth of cut also played a critical role in tool wear. Additionally, DNMG inserts exhibited lower wear compared to TNMG inserts. Optimal machining conditions were identified to minimize tool wear and surface roughness. These findings can enhance machining processes for heat-resistant alloys, improve efficiency, and reduce production costs.
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