Tool wear and its mechanism in turning aluminum alloys with image processing and machine learning methods-Reference-Cited by-同舟云学术

Tool wear and its mechanism in turning aluminum alloys with image processing and machine learning methods

Published:2024-03 Issue: Volume:191 Page:109207
ISSN:0301-679X
Container-title:Tribology International
language:en
Short-container-title:Tribology International

Author:

Korkmaz Mehmet Erdi,Gupta Munish Kumar,Çelik Enes,Ross Nimel Sworna,Günay Mustafa

Funder

Politechnika Opolska

Publisher

Elsevier BV

Reference64 articles.

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2. Tribological performance of different concentrations of Al2O3 nanofluids on minimum quantity lubrication milling;Bai;Chin J Mech Eng,2023

3. Improving the fatigue strength of 7075 alloy through aging;Leng;Mater Sci Eng A,2018

4. Towards ductilization of high strength 7XXX aluminium alloys via microstructural modifications obtained by friction stir processing and heat treatments;Lezaack;Materialia,2021

5. Milling surface roughness for 7050 aluminum alloy cavity influenced by nozzle position of nanofluid minimum quantity lubrication;DUAN;Chin J Aeronaut,2020

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5. Impact of Al2O3 Nanofluid on Vibration and Temperature Reduction in Machining;Iranian Journal of Science and Technology, Transactions of Mechanical Engineering;2025-05-23