2D FEM Estimate of Tool Wear in Hard Cutting Operation: Extractive of Interrelated Parameters and Tool Wear Simulation Result
| Periodical | Advanced Materials Research (Volumes 69 - 70) |
|---|---|
| Main Theme | Ultra-Precision Machining Technologies |
| Edited by | Julong Yuan, Shiming Ji, Donghui Wen and Ming Chen |
| Pages | 316-321 |
| DOI | 10.4028/www.scientific.net/AMR.69-70.316 |
| Citation | Cai Xu Yue et al., 2009, Advanced Materials Research, 69-70, 316 |
| Online since | May, 2009 |
| Authors | Cai Xu Yue, Xian Li Liu, Hong Min Pen, Jing Shu Hu, Xing Fa Zhao |
| Keywords | GCr15 Harden Steel, Hard Cutting, PCBN Tools, Tool Wear |
| Price | US$ 28,- |
Tool wear plays an important part during cutting process, and wear loss has a close relationship with cutting condition, which affects machined surface mostly. In order to accomplish tool wear prediction in way of FEM, based on founding of cutting model under steady state, interrelated parameters needed for tool wear prediction, such as cutting temperature, contact pressure and raletive sliding velocity are extracted. By compiling Python subprogram and using Abaqus tool in hard cutting process PCBN tool wear is predicted, which provide foundation for optimizing cutting condition.