Experimental and machine learning comparison for measurement the machinability of nickel based alloy in pursuit of sustainability-Reference-Cited by-同舟云学术

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Experimental and machine learning comparison for measurement the machinability of nickel based alloy in pursuit of sustainability

Published:2024-08 Issue: Volume:236 Page:115142
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Binali Rüstem^ORCID

Publisher

Elsevier BV

Reference82 articles.

1. Implementation of green cooling/lubrication strategies in metal cutting industries: a state of the art towards sustainable future and challenges;Korkmaz;Sustain. Mater. Technol.,2023

2. Machinability analysis of Inconel 718 superalloy with AlTiN-coated carbide tool under different cutting environments;Çakıroğlu;Arab. J. Sci. Eng.,2021

3. Understandings the tribological mechanism of Inconel 718 alloy machined under different cooling/lubrication conditions;Salur;Tribol. Int.,2022

4. Performance of cryogenically treated carbide inserts under sustainable cryo-lubrication assisted milling of Inconel X750 alloy;Şirin;Sustain. Mater. Technol.,2021

5. Influence of graphene reinforced sunflower oil on thermo-physical, tribological and machining characteristics of inconel 718;Danish;J. Mater. Res. Technol.,2021

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1. Modeling of the hot-deformation behavior of Fe-Ni-Al maraging steel using constitutive equations and machine learning algorithms;Journal of Materials Science;2024-09-10

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