Predicting crystallite size of Mg-Ti-SiC nanocomposites using an adaptive neuro-fuzzy inference system model modified by termite life cycle optimizer

Predicting crystallite size of Mg-Ti-SiC nanocomposites using an adaptive neuro-fuzzy inference system model modified by termite life cycle optimizer

In this study, Mg-Ti-SiC composite powders with varied micron and nano silicon carbide (SiC) particle sizes were fabricated utilizing the ball milling technology at various milling times. The effect of reinforcement particles sizes and milling time on the morphology and microstructure of the magnesi...

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Bibliographic Details
Main Authors: Hossein Ahmadian, Tianfeng Zhou, Mohamed Abd Elaziz, Mohammed Azmi Al-Betar, A.M. Sadoun, I.M.R Najjar, A.W. Abdallah, A. Fathy, Qian Yu
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Alexandria Engineering Journal
Subjects:
Machine learning
Termite Life Cycle Optimizer (TLCO)
Magnesium composite
Silicon carbide
Crystallite size
Ball milling
Online Access:http://www.sciencedirect.com/science/article/pii/S1110016823009882

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http://www.sciencedirect.com/science/article/pii/S1110016823009882

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