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

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Abstract

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.

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Authors and Affiliations

  1. Center of Advanced Manufacturing and Material Processing, Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, 50603, Malaysia

    Ahmed A. D. Sarhan

  2. Mech. Department, Faculty of Engineering, British University in Egypt (BUE), El-Sherouk City, Cairo-Suez Desert Road, 11837, Cairo, Egypt

    N. S. M. El-Tayeb

  3. Department of Mechanical Engineering, Faculty of Engineering, Assiut University, Assiut, 71516, Egypt

    Ahmed A. D. Sarhan

Authors
  1. Ahmed A. D. Sarhan
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  2. N. S. M. El-Tayeb
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Correspondence to Ahmed A. D. Sarhan.

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Sarhan, A.A.D., El-Tayeb, N.S.M. Investigating the surface quality of the burnished brass C3605—fuzzy rule-based approach. Int J Adv Manuf Technol 71, 1143–1150 (2014). https://doi.org/10.1007/s00170-013-5543-3

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  • DOI: https://doi.org/10.1007/s00170-013-5543-3

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