Parallel structure of crayfish optimization with arithmetic optimization for classifying the friction behaviour of Ti-6Al-4V alloy for complex machinery applications-Reference-Cited by-同舟云学术

Parallel structure of crayfish optimization with arithmetic optimization for classifying the friction behaviour of Ti-6Al-4V alloy for complex machinery applications

Published:2024-02 Issue: Volume:286 Page:111389
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Chauhan Sumika,Vashishtha Govind,Gupta Munish Kumar,Korkmaz Mehmet Erdi,Demirsöz Recep,Noman Khandaker,Kolesnyk Vitalii

Publisher

Elsevier BV

Reference33 articles.

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3. Online monitoring model of micro-milling force incorporating tool wear prediction process;Ding;Expert Syst. Appl.,2023

4. Wear performance of (nc-AlTiN)/(a-Si3N4) coating and (nc-AlCrN)/(a-Si3N4) coating in high-speed machining of titanium alloys under dry and minimum quantity lubrication (MQL) conditions;Sun;J. Clean. Prod.,2016

5. Comparative assessment of common pre-trained CNNs for vision-based surface defect detection of machined components;Singh;Expert Syst. Appl.,2023

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