Research on analytical model of the process parameters for the high speed hobbing of ball end milling cutter
- DOI
- 10.2991/amcce-17.2017.75How to use a DOI?
- Keywords
- ball end mill, high speed hobbing, flatness, analytical model of process parameters
- Abstract
The high speed hobbing of ball end mill is affected by equipment and environmental condition, workpiece materials and heat treatment conditions and other factors, led to workpiece parameters analysis calculation error is large of parameters such as feeding speed, spindle speed etc, it is need for modification process parameters, and improve the machining process. A roughness quantitative analytical model is proposed based on joint correlation analysis of dry cutting hob decomposition and cutting speed. The process parameter constraint parameter mathematical model of ball end milling in high speed hobbing is constructed using magneto rheological smooth processing method, high speed hobbing multi-objective variable parameter is optimized by edge estimation of distribution of workpiece the calculation of hobbing process of axial feed velocity and hob beyond stroke feature decomposition to quantify the cutting speed and axial feed, realize the modification of process parameters, the recommended value of smoothness process parameters is obtained. The simulation results show that the new model can reduce the hobbing tooth orientation error and tooth orientation error, workpiece surface roughness measurement values converge to zero, and it has high flatness and good application value.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Kai-Wu Cai PY - 2017/03 DA - 2017/03 TI - Research on analytical model of the process parameters for the high speed hobbing of ball end milling cutter BT - Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 2017) PB - Atlantis Press SP - 432 EP - 438 SN - 2352-5401 UR - https://doi.org/10.2991/amcce-17.2017.75 DO - 10.2991/amcce-17.2017.75 ID - Cai2017/03 ER -