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Optimal Cutting Conditions of Abrasive Waterjet Cutting for Ti-6Al-2Sn-2Mo Alpha-Beta Alloy Using EDAS and DFA Methods
Author(s) -
Sunday Ayoola Oke,
Ugochukwu Sixtus Nwankiti
Publication year - 2022
Publication title -
gazi university journal of science part a:engineering and innovation
Language(s) - English
Resource type - Journals
ISSN - 2147-9542
DOI - 10.54287/gujsa.1135609
Subject(s) - edas , machining , abrasive , traverse , materials science , titanium alloy , mechanical engineering , computer science , alloy , metallurgy , artificial intelligence , engineering , estimation of distribution algorithm , geodesy , geography

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