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.
| Original language | English |
|---|---|
| Pages (from-to) | 1143-1150 |
| Number of pages | 8 |
| Journal | International Journal of Advanced Manufacturing Technology |
| Volume | 71 |
| Issue number | 5-8 |
| DOIs | |
| State | Published - Mar 2014 |
| Externally published | Yes |
Keywords
- Brass C3605
- Burnishing process
- Fuzzy logic system
- Surface roughness
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Mechanical Engineering
- Computer Science Applications
- Industrial and Manufacturing Engineering
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