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Empirical modeling and multi-response optimization of duplex turning for Ni-718 alloy

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Abstract

In duplex turning, two-cutting tools as primary-tool is mounted on main tool post and secondary-tool is mounted on indigenous tool post on lathe machine. The objective of present work is to optimize the duplex turning parameters for primary cutting force, secondary cutting force and surface roughness for aerospace material especially Nickel alloy (Ni-718). For this, Taguchi methodology (TM) with response surface methodology (RSM) is utilized for modeling as well as multi-objective optimization of parameters. Firstly, the TM approach has been applied to determine the central value using experimental data, which is used as central value for RSM modeling. The results show that significant improvement in the all responses at optimal data with acceptable limit of errors. It also shows the percentage decrease in primary cutting force = 9.06%, secondary cutting force = 30.91% with improvement in average surface roughness = 1.78% positively.

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Abbreviations

V:

Cutting velocity (m/min)

f:

Feed rate (mm/rev)

Dp:

Primary-DOC (mm)

Ds:

Secondary-DOC (mm)

Ra:

Average surface roughness (µm)

Fp:

Primary cutting force (N)

Fs:

Secondary cutting force (N)

n:

Number of experiments

yi :

Observed data

yij :

Normalized quality loss

wi :

Associate weight

Q:

Quality loss

DF:

Degree of freedom

DOC:

Depth of cut

ANOVA:

Analysis of variance

SS:

Sum of squares

MS:

Mean of squares

PC:

Percentage contribution

TNQL:

Total normalized quality loss

η:

Signal to Noise ratio (dB)

∑:

Summation

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Correspondence to Ravindra Nath Yadav.

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Kumar, S., Yadav, R.N. & Kumar, R. Empirical modeling and multi-response optimization of duplex turning for Ni-718 alloy. Int J Syst Assur Eng Manag 11, 126–139 (2020). https://doi.org/10.1007/s13198-019-00931-5

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  • DOI: https://doi.org/10.1007/s13198-019-00931-5

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