Abstract
In this work, a propelled dynamic approach, Taguchi grey relational analysis has been employed to estimate the impact of untreated and cryogenically treated and oil-quenched WC-Co tools in high-speed turning of Inconel 713C alloy on cutting force and surface roughness. Taguchi grey relational analysis is executed to maximize the high-speed turning of Inconel 713C alloy taking into account various operating parameters (cutting speed, feed rate, and depth of cut). The L27 orthogonal array has been utilized to determine the signal-to-noise ratio. Analysis of variance was performed to recognize the large number of components influencing surface roughness. The numerical examination showed that feed rate, with percentages as high as 95%, had the most predominant impact on machining performance, followed by cutting speed for untreated and treated WC-Co tools.
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