Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Finite element simulation and experimental investigation on cutting mechanism in vibration-assisted micro-milling

Lookup NU author(s): Wenjun Chen, Lu Zheng, Xiangyu Teng, Dr Dehong Huo

Downloads

Full text for this publication is not currently held within this repository. Alternative links are provided below where available.


Abstract

© 2019, Springer-Verlag London Ltd., part of Springer Nature. In vibration-assisted milling, vibrations are applied in feed and/or cross-feed directions during micro-milling process, and instantaneous cutting thickness can be changed significantly. As a result, its cutting mechanics also change dramatically. This paper investigates the underlying cutting mechanism of vibration-assisted micro-milling by using finite element (FE) simulations and experiments. A finite element model of vibration-assisted micro-milling process is established for magnesium alloys machining with the Johnson-Cook material model. The vibration-assisted micro-milling is investigated in terms of size effect and material removal mechanism. It is found that vibration frequency has a significant influence on the machining mechanism, e.g. suppression of burr formation and reduction of cutting forces and tool wear. The FE simulation results are compared with the conventional micro-milling and verified by the experimental results.


Publication metadata

Author(s): Chen W, Zheng L, Teng X, Yang K, Huo D

Publication type: Article

Publication status: Published

Journal: International Journal of Advanced Manufacturing Technology

Year: 2019

Volume: 105

Issue: 11

Pages: 4539-4549

Print publication date: 01/12/2019

Online publication date: 20/02/2019

Acceptance date: 29/01/2019

ISSN (print): 0268-3768

ISSN (electronic): 1433-3015

Publisher: Springer

URL: https://doi.org/10.1007/s00170-019-03402-0

DOI: 10.1007/s00170-019-03402-0


Altmetrics

Altmetrics provided by Altmetric


Share