A fuzzy model for evaluation and prediction of slurry erosion of 5127 steels

Hassan, Mohamed Mohsen Abdel-Naeim and El-Sharief, Mahmoud A. and Aboul-Kasem, Ahmed and Ramesh, Singh and Purbolaksono, Judha (2012) A fuzzy model for evaluation and prediction of slurry erosion of 5127 steels. Materials & Design, 39. pp. 186-191. ISSN 0261-3069, DOI https://doi.org/10.1016/j.matdes.2012.02.012.

Full text not available from this repository.
Official URL: https://doi.org/10.1016/j.matdes.2012.02.012


This paper introduces a fuzzy logic model to evaluate and predict the slurry erosion of ductile materials in engineering and chemical applications. There are seven variables which have the most significant influences on the slurry erosion of ductile material, and must be taken into considerations. These are impact angle, time, roundness factor, aspect ratio, particle size, impact velocity and concentration of the particles. By using the fuzzy rules which can be generated based on some experimental observations, a two-layer fuzzy model could be developed to correlate these variables to the slurry erosion (weight loss of material). The model is based on the assumption that the slurry erosion characteristics of ductile materials is an imprecise complex function of many interacting variables, and can be described and evaluated by the theory of fuzzy sets. Membership functions and fuzzy rule-base for application to slurry erosion of 5127 steel as a ductile material are presented in detail to demonstrate the effectiveness of fuzzy logic in modeling such a complex system in an efficient way. This constructed model would facilitate the development of an expert, real-time and integrated system using fuzzy logic technology to monitor the level of the slurry erosion process. (C) 2012 Elsevier Ltd. All rights reserved.

Item Type: Article
Additional Information: you can e-mail to me for the full text of my jurnal at ramesh79@um.edu.my
Uncontrolled Keywords: Cast-iron corrosion angle; fuzzy model; slurry erosion; 5127 steels
Subjects: T Technology > TJ Mechanical engineering and machinery
T Technology > TS Manufactures
Divisions: Faculty of Engineering
Depositing User: Mr. Mohammed Salim Abd Rahman
Date Deposited: 02 Jul 2013 02:09
Last Modified: 02 Dec 2019 05:43
URI: http://eprints.um.edu.my/id/eprint/6301

Actions (login required)

View Item View Item