Prospects for in-process diagnosis of metal cutting by monitoring vibration signals-Reference-Cited by-同舟云学术

Prospects for in-process diagnosis of metal cutting by monitoring vibration signals

Published:1987-11 Issue:11 Volume:22 Page:3821-3830
ISSN:0022-2461
Container-title:Journal of Materials Science
language:en
Short-container-title:J Mater Sci

Author:

Lee Minyoung,Thomas Charles E.,Wildes Douglas G.

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

http://link.springer.com/content/pdf/10.1007/BF01133328.pdf

Reference35 articles.

1. S. Birla, ?Sensors for Adaptive Control and Machine Diagnostics?, Technology of Machine Tools, Lawrence Livermore Laboratory, Report No. UCRL-52960-4, Vol. 4, Machine Tool Controls (1980) 7.12.1?7.12.70.

2. G. F. Micheletti, W. Koenig andH. R. Victor,Ann. CIRP 25 (1976) 483.

3. J. Tlusty andG. C. Andrews,ibid. 32 (1983) 563.

4. E. J. Weller, H. M. Schrier andB. Weichbrodt,Trans. ASME J. Engng Ind. 91 (1969) 525.

5. K. Iwata andT. Moriwaki,Ann. CIRP 25 (1977) 21.

Cited by 27 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Tool Condition Monitoring Methods Applicable in the Metalworking Process;Archives of Computational Methods in Engineering;2023-07-22

2. Vibration‐based drilling depth estimation of bone;The International Journal of Medical Robotics and Computer Assisted Surgery;2021-03-23

3. Approach for Creating Reference Signals for Detecting Defects in Diagnosing of Composite Materials;Advances in Intelligent Systems and Computing IV;2019-11-02

4. Mathematical models of flank wear using vibration amplitude ratio in drilling;FME Transactions;2019

5. Vibration prediction of pellet mills power transmission by artificial neural network;Assembly Automation;2017-09-04