Investigating the surface quality of the burnished brass C3605—fuzzy rule-based approach

  • Ahmed A. D. SarhanEmail author
  • N. S. M. El-Tayeb


In this work, prediction of burnished surface roughness (R a) is achieved by using a fuzzy rule-based system. The process state variables used were burnishing speed, feed, and depth. The fuzzy rule-based system has achieved an accuracy of 95.4 % to predict the burnished surface roughness and proved to be convenient in terms of least computational complexity and dealing with nonlinear data such as that obtained in this work.


Fuzzy logic system Surface roughness Burnishing process Brass C3605 


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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Center of Advanced Manufacturing and Material Processing, Department of Mechanical Engineering, Faculty of EngineeringUniversity of MalayaKuala LumpurMalaysia
  2. 2.Mech. Department, Faculty of EngineeringBritish University in Egypt (BUE)El-Sherouk CityEgypt
  3. 3.Department of Mechanical Engineering, Faculty of EngineeringAssiut UniversityAssiutEgypt

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