Open Access
Issue
JNWPU
Volume 36, Number 1, February 2018
Page(s) 124 - 131
DOI https://doi.org/10.1051/jnwpu/20183610124
Published online 18 May 2018
  1. Hu Yushen, Yuan Yulan, Zhou Liang. Experiment of Temperature in Milling Material ZM5 Based on Cutting Parameter[J]. Machine Building & Automation, 2010, 39(5) : 44-45 (in Chinese) [Google Scholar]
  2. Ruslan M S, Othman K, Ghani J A, et al. Surface Roughness of Magnesium Alloy AZ91D in High Speed Milling[J]. Journal Technologies, 2016, 78(6/9) : 115-119[Article] [Google Scholar]
  3. Lu L, Hu S, Liu L, et al. High Speed Cutting of AZ31 Magnesium Alloy[J]. Journal of Magnesium and Alloys, 2016, 4(2) : 128-134 10.1016/j.jma.2016.04.004 [NASA ADS] [CrossRef] [Google Scholar]
  4. Pu Z, Umbrello D, Dillon O W, et al. Finite Element Modeling of Microstructural Changes in Dry and Cryogenic Machining of AZ31B Magnesium Alloy[J]. Journal of Manufacturing Processes, 2014, 16(2) : 335-343 10.1016/j.jmapro.2014.02.002 [CrossRef] [Google Scholar]
  5. Salahshoor M, Guo Y B. Cutting Mechanics in High Speed Dry Machining of Biomedical Magnesium-Calcium Alloy Using Internal State Variable Plasticity Model[J]. International Journal of Machine Tools and Manufacture, 2011, 51(7) : 579-590[Article] [CrossRef] [Google Scholar]
  6. Liu Longfei, Hu Shaohua, Lu Liwei. Sawtooth Chip of AZ31 Magnesium Alloy under High-Speed Cutting and Different Cutting Velocities[J]. Chinese Journal of Rare Metals, 2016(7) : 654-659 (in Chinese) [Google Scholar]
  7. Fu Hongya, Zhang Xiang, Han Zhenyu, et al. Modeling and Simulation of Micro-Ball-End Milling Forces[J]. Computer Integrated Manufacturing Systems, 2011, 17(7) : 1448-1453 (in Chinese) [Google Scholar]
  8. Guo M, Wang R, Zhu X. High Speed Machining of Magnesium Alloy[J]. Ordnance Material Science and Engineering, 2009(6) : 92-96[Article] [Google Scholar]
  9. Bhowmick S, Lukitsch M J, Alpas A T. Dry and Minimum Quantity Lubrication Drilling of Cast Magnesium Alloy(AM60)[J]. International Journal of Machine Tools and Manufacture, 2010, 50(5) : 444-457 10.1016/j.ijmachtools.2010.02.001 [CrossRef] [Google Scholar]
  10. Mandal N, Doloi B, Mondal B. Force Prediction Model of Zirconia Toughened Alumina(ZTA) Inserts in Hard Turning of AISI 4340 Steel Using Response Surface Methodology[J]. International Journal of Precision Engineering and Manufacturing, 2012, 13(9) : 1589-1599 10.1007/s12541-012-0209-x [CrossRef] [Google Scholar]
  11. Lim B S. Fuzzy Regression Modeling for Tool Performance Prediction and Degradation Detection[J]. International Journal of Neural Systems, 2010, 20(5) : 405-419 10.1142/S0129065710002498 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.