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The International Journal of Advanced Manufacturing Technology

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27-08-2022 | ORIGINAL ARTICLE

Tool vibration, surface roughness, cutting power, and productivity assessment using RSM and GRA approach during machining of Inconel 718 with PVD-coated carbide tool

Authors: Ilyas Kouahla, Mohamed Athmane Yallese, Salim Belhadi, Khaoula Safi, Mourad Nouioua

Published in: The International Journal of Advanced Manufacturing Technology | Issue 3-4/2022

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Abstract

Nickel-based alloys such as (Inconel 718) are widely used in the fields of space technology, rocket engines, nuclear reactors, petrochemicals, submarines, power plants, and others. Due to its high mechanical properties, low thermal conductivity, and other characteristics, it is classified as a difficult material to machine. The main objective of this work is to model the tool vibration (Vtng), surface roughness (Ra), cutting force (Fz), power consumption (Pc), and material removal rate (MRR) as a function of different cutting conditions such as cutting speed (Vc), feed rate (f), depth of cut (ap), and tool nose radius (r). Machining tests were performed by dry turning of Inconel 718 with a PVD-coated metal carbide tool, following a Taguchi L₂₇ (3^4) design of experiment. The response surface methodology (RSM) and the analysis of variance (ANOVA) were used to develop prediction models. The desirability function (DF) and the gray relational analysis (GRA) method were used and compared to determine the optimal cutting conditions, in order to minimize the outputs (Vtng, Ra, Fz, and Pc), and maximize the (MRR), according to two study cases encountered in industry.

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Title: Tool vibration, surface roughness, cutting power, and productivity assessment using RSM and GRA approach during machining of Inconel 718 with PVD-coated carbide tool
Authors: Ilyas Kouahla
Mohamed Athmane Yallese
Salim Belhadi
Khaoula Safi
Mourad Nouioua
Publication date: 27-08-2022
Publisher: Springer London
Published in: The International Journal of Advanced Manufacturing Technology / Issue 3-4/2022
Print ISSN: 0268-3768
Electronic ISSN: 1433-3015
DOI: https://doi.org/10.1007/s00170-022-09988-2

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