A Mathematical Model of EEBP for HSM Surface Quality Prediction |
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| Journal | Advanced Materials Research (Volumes 97 - 101) |
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| Volume | Manufacturing Science and Engineering I |
| Edited by | Zhengyi Jiang and Chunliang Zhang |
| Pages | 2123-2127 |
| DOI | 10.4028/www.scientific.net/AMR.97-101.2123 |
| Citation | Yue En Li et al., 2010, Advanced Materials Research, 97-101, 2123 |
| Online since | March, 2010 |
| Authors | Yue En Li, Jun Zhao, W. Wang, Q.Y. Cao |
| Keywords | EEBP, High Speed Milling (HSM), Machined Surface, Mathematical Model, Multi-Parameters |
| Abstract | The main purpose of this study was to construct a relationship between the cutting parameters and the machined surface on high speed milling operation. An optimization algorithm using an Exponential Equation and BP method (EEBP) is then applied to determine optimal cutting parameters. For using the method, once the material removal volumes for machined parts of the high speed milling operations are given, the surface quality could be predicted. The final result we choose the surface roughness prediction as an example of H13 dies steel HSM in this paper, it presents that the method is efficient and feasible. |
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