A Neural Network Cutting Fluid Effect on Surface Roughness and Tool Life | ||
| Anbar Journal of Engineering Sciences | ||
| Article 3, Volume 4, Issue 1, May 2011, Pages 34-46 PDF (417.42 K) | ||
| DOI: 10.37649/aengs.2011.14275 | ||
| Author | ||
| Salah Kareem Jawad | ||
| Abstract | ||
| Is the refrigerant of the important factors affecting the cutting process as the use of fluids and in different proportions with water used in the cutting process has a clear influence on both the roughness of the surface of the metal to be used and the age of many because of that importance was the use of neural networks to predict the impact of the proportion of mixtures of different and find the best rate of mixing terms of access to the best surface roughness and longer life for many | ||
| Keywords | ||
| neural network; Cutting; roughness; Tool Life | ||
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