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A. El-Sharief, M., Hassan, M., AboulKasem, A. (2009). A FUZZY MODEL FOR EVALUATION, PREDICTION AND CONTROL OF SLURRY EROSION OF DUCTILE MATERIALS. JES. Journal of Engineering Sciences, 37(No 6), 1449-1461. doi: 10.21608/jesaun.2009.128558
Mahmoud A. El-Sharief; M.A. Hassan; A. AboulKasem. "A FUZZY MODEL FOR EVALUATION, PREDICTION AND CONTROL OF SLURRY EROSION OF DUCTILE MATERIALS". JES. Journal of Engineering Sciences, 37, No 6, 2009, 1449-1461. doi: 10.21608/jesaun.2009.128558
A. El-Sharief, M., Hassan, M., AboulKasem, A. (2009). 'A FUZZY MODEL FOR EVALUATION, PREDICTION AND CONTROL OF SLURRY EROSION OF DUCTILE MATERIALS', JES. Journal of Engineering Sciences, 37(No 6), pp. 1449-1461. doi: 10.21608/jesaun.2009.128558
A. El-Sharief, M., Hassan, M., AboulKasem, A. A FUZZY MODEL FOR EVALUATION, PREDICTION AND CONTROL OF SLURRY EROSION OF DUCTILE MATERIALS. JES. Journal of Engineering Sciences, 2009; 37(No 6): 1449-1461. doi: 10.21608/jesaun.2009.128558

A FUZZY MODEL FOR EVALUATION, PREDICTION AND CONTROL OF SLURRY EROSION OF DUCTILE MATERIALS

Article 12, Volume 37, No 6, November and December 2009, Page 1449-1461  XML PDF (857.97 K)
Document Type: Research Paper
DOI: 10.21608/jesaun.2009.128558
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Authors
Mahmoud A. El-Sharief; M.A. Hassan; A. AboulKasem
Mechanical Engineering Department, Faculty of Engineering, Assiut University, 71516 Assiut, Egypt
Abstract
This paper introduces a fuzzy logic model to evaluate, predict and control 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 and control the level of the slurry erosion process
Keywords
Fuzzy modeling; tribology; slurry erosion
Main Subjects
Mechanical, Power, Production, Design and Mechatronics Engineering.
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