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Optimisation of turning parameters of Inconel 718 alloy using RSM

Authors: M. Aruna; V. Dhanalakshmi;

Optimisation of turning parameters of Inconel 718 alloy using RSM

Abstract

Nickel-based super alloy, Inconel 718 is extensively used in sophisticated applications due to its unique properties desired for engineering applications. Due to its peculiar characteristics, machining of Inconel 718 is complicated and costly. The present work is an attempt to make use of Taguchi optimisation technique to optimise cutting parameters during high speed turning of Inconel 718 using cermet tool. The performance of the cermet tool is described using response surface methodology (RSM). The experimental plan is based on central composite design (CCD). Surface roughness and flank wear are the response variables investigated. The experimental results indicate that the proposed mathematical models suggested could adequately describe the performance indicators within the limits of the factors that are being investigated. The cutting speed is the most significant factor that influences the surface roughness and flank wear. Yet, there are other factors that provide secondary contributions to the performance indicators. The adequacy of the predictive model is verified using analysis of variance.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Average
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