The flank wear prediction in micro-milling Inconel 718
Industrial Lubrication and Tribology
ISSN: 0036-8792
Article publication date: 25 October 2018
Issue publication date: 13 November 2018
Abstract
Purpose
Cutting tool wear is known to affect tool life, surface quality, cutting forces and production time. Micro-milling of difficult-to-cut materials like Inconel 718 leads to significant flank wear on the cutting tool. To ensure the respect of final part specifications and to study cutting forces and tool catastrophic failure, flank wear (VB) has to be controlled. This paper aims to achieve flank wear prediction during micro-milling process, which fills the void of the commercial finite element software.
Design/methodology/approach
Based on tool geometry structure and DEFORM finite element simulation, flank wear of the micro tool during micro-milling process is obtained. Finally, experiments of micro-milling Inconel 718 validate the accuracy of the proposed method for predicting flank wear of the micro tool during micro-milling Inconel 718.
Findings
A new prediction method for flank wear of the micro tool during micro-milling Inconel 718 based on the assumption that the wear volume can be assumed as a cone-shaped body is proposed. Compared with the existing experiment techniques for predicting tool wear during micro-milling process, the proposed method is simple to operate and is cost-effective. The existing finite element investigations on micro tool wear prediction mainly focus on micro tool axial wear depth, which affects size accuracy of machined workpiece seriously.
Originality/value
The research can provide significant knowledge on the usage of finite element method in predicting tool wear condition during micro-milling process. In addition, the method presented in this paper can provide support for studying the effect of tool flank wear on cutting forces during micro-milling process.
Keywords
Acknowledgements
The research is supported by the National Natural Science Foundation of China under Grant No. 51305061 and the Fundamental Research Fund for the Central Universities under project number: DUT17JC22. The financial contributions are gratefully acknowledged.
Citation
Lu, X., Wang, F., Jia, Z. and Liang, S.Y. (2018), "The flank wear prediction in micro-milling Inconel 718", Industrial Lubrication and Tribology, Vol. 70 No. 8, pp. 1374-1380. https://doi.org/10.1108/ILT-01-2018-0031
Publisher
:Emerald Publishing Limited
Copyright © 2018, Emerald Publishing Limited