Tool wear state prediction based on feature-based transfer learning-Reference-Cited by-同舟云学术

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Tool wear state prediction based on feature-based transfer learning

Published:2021-03-02 Issue:11-12 Volume:113 Page:3283-3301
ISSN:0268-3768
Container-title:The International Journal of Advanced Manufacturing Technology
language:en
Short-container-title:Int J Adv Manuf Technol

Author:

Li Jianbo,Lu Juan,Chen Chaoyi,Ma Junyan,Liao Xiaoping

Funder

the project of improving the basic scientific research ability of young and middle-aged teachers of colleges and universities in Guangxi

National Nature Science Foundation of China

Natural Science Foundation of Guangxi Province

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Software,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00170-021-06780-6.pdf

Reference41 articles.

1. Zhu DH, Zhang XM, Ding H (2013) Tool wear characteristics in machining of nickel-based superalloys. Int J Mach Tools Manuf 64:60–77. https://doi.org/10.1016/j.ijmachtools.2012.08.001

2. Pu CL, Zhu G, Yang SB, Yue EB, Subramanian SV (2016) Effect of dynamic recrystallization at tool-chip interface on accelerating tool wear during high-speed cutting of AISI1045 steel. Int J Mach Tools Manuf 100:72–80. https://doi.org/10.1016/j.ijmachtools.2015.10.006

3. Duro JA, Padget JA, Bowen CR, Kim HA, Nassehi A (2016) Multi-sensor data fusion framework for CNC machining monitoring. Mech Syst Signal Process 66-67:505–520. https://doi.org/10.1016/j.ymssp.2015.04.019

4. García-Ordás MT, Alegre-Gutiérrez E, Alaiz-Rodríguez R, González-Castro R (2018) Tool wear monitoring using an online, automatic and low cost system based on local texture. Mech Syst Signal Process 112:167–182. https://doi.org/10.1016/j.ymssp.2018.04.035

5. Niaki FA, Mears L (2017) A comprehensive study on the effects of tool wear on surface roughness, dimensional integrity and residual stress in turning IN718 hard-to-machine alloy. J Manuf Process 30:268–280. https://doi.org/10.1016/j.jmapro.2017.09.016

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