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Investigation on the tool wear suppression mechanism in non-resonant vibration-assisted micro milling

Lookup NU author(s): Lu Zheng, Dr Wanqun Chen, Dr Dehong Huo



This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


© 2020 by the authors. Excessive tool wear during hard and brittle material processing severely influences cutting performance. As one of the advanced machining technologies, vibration-assisted micro milling adds high-frequency small amplitude vibration on a micro milling tool or workpiece to improve cutting performance, especially for hard and brittle materials. In this paper, the tool wear suppression mechanism in non-resonant vibration-assisted micro milling is studied by using both finite element simulation and experiment methods. A finite element model of vibration-assisted micro milling using ABAQUS is developed based on the Johnson cook material and damage models. The tool-workpiece separation conditions are studied by considering the tool tip trajectories. The machining experiments are carried out on Ti-6Al-4V with a coated micro milling tool (fine-grain tungsten carbide substrate with ZrO2-BaCrO4 (ZB) coating) under different vibration frequencies (high, medium, and low) and cutting states (tool-workpiece separation or non-separation). The results show that tool wear can be reduced effectively in vibration-assisted micro milling due to different wear suppression mechanisms. The relationship between tool wear and cutting performance is studied, and the results indicate that besides tool wear reduction, better surface finish, lower burrs, and smaller chips can also be obtained as vibration assistance is added.

Publication metadata

Author(s): Zheng L, Chen W, Huo D

Publication type: Article

Publication status: Published

Journal: Micromachines

Year: 2020

Volume: 11

Issue: 4

Online publication date: 03/04/2020

Acceptance date: 01/04/2020

Date deposited: 26/07/2021

ISSN (electronic): 2072-666X

Publisher: MDPI AG


DOI: 10.3390/MI11040380


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