The flank wear prediction in micro-milling Inconel 718. Issue 8 (25th October 2018)

• Record Type: Journal Article
• Authors: Lu, Xiaohong; Wang, FuRui; Jia, Zhenyuan; Liang, Steven Y.
• Is Part Of: Industrial lubrication and tribology. Volume 70:Issue 8(2018)
• Page Start: 1374
• Page End: 1380
• Publication Date: 2018-10-25
• Subjects: Finite element method -- Micro-milling -- Inconel 718 -- Tool wear predicting; Lubrication and lubricants -- Periodicals; Tribology -- Periodicals; 621.89
• DOI: 10.1108/ILT-01-2018-0031
• Languages: English
• ISSNs: 0036-8792

Abstract

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.