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

Author:

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

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference33 articles.

1. Investigation of surface topography and its deterioration resulting from tool wear evolution when dry turning of titanium alloy Ti-6Al-4V;Liang;Tribol. Int.,2019

2. Interfacial wear damage mechanism between Ti-alloy and Al-alloy in interference-fit joint and influence of surface coatings: experimental and numerical study;Suo;Eng. Fail. Anal.,2023

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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