Predictions on Surface Finish In EDM Based Upon Genetic Network Model | ||
| Engineering and Technology Journal | ||
| Article 1, Volume 30, Issue 1, January 2012, Pages 77-86 PDF (279.89 K) | ||
| DOI: 10.30684/etj.30.1.7 | ||
| Author | ||
| Shukry H. Aghdeab | ||
| Abstract | ||
| In this study, the comparisons on predictions of surface finish for borosilicate glass work material based upon genetic network model by used Simulnet program. Genetic network (GN) has been used to investigate the process control for EDM that could the Ra experimental and prediction with accuracy of 94.236%. The differences on the Ra at genetic network model for (80×60×3mm) of BSG never exceed (8%) from testing data sets. | ||
| Keywords | ||
| borosilicate glass; genetic network model | ||
|
Statistics Article View: 201 PDF Download: 110 |
||