Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/519700
Title: Fatigue crack growth prediction of ultra-thin 301L stainless steel sheet using genetic algorithm and fuzzy inference system
Authors: Ammar Adil Abulnabe (P67934)
Supervisor: Zainuddin Sajuri, Assoc. Prof. Dr.
Keywords: Universiti Kebangsaan Malaysia -- Dissertations
Dissertations, Academic -- Malaysia
Fatigue
Stainless steel
Algorithm
Fuzzy inference system
Issue Date: 18-Feb-2020
Description: Ph.D.,Soft copy cannot be uploaded
Pages: 150
Publisher: UKM, Bangi
Appears in Collections:Faculty of Engineering and Built Environment / Fakulti Kejuruteraan dan Alam Bina

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