Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/25955
Title: A fiber-optic bending sensor for the vibration monitoring of CNC face-milling machine
Authors: Gosiewski, Z.
Kulesza, Z.
Uludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü.
Uludağ Üniversitesi/Teknik Bilimler Meslek Yüksekokulu.
0000-0002-9220-7353
Gücüyener, İsmet
Emel, Erdal
N-8691-2014
15834767100
6602919521
Keywords: CNC face-milling machine
Fiber optic sensor
Vibration monitoring
Engineering
Materials science
Physics
Fiber optic sensors
Fiber optics
Fibers
Mechatronics
Milling machines
Monitoring
Optical materials
Sensors
Vibration measurement
Wear of materials
Cutting tools
Fiber optic sensors
Fiber optics
Fibers
Frequency domain analysis
Milling machines
Time domain analysis
Vibration measurement
Wear of materials
Bending sensors
CNC face-milling machine
CNC milling
Face-milling
Fiber cores
Frequency domains
Laser lights
Loss of lights
Plane constructions
Receiver circuits
Time domain
Tool wear
Transmitter circuits
Vibration monitoring
Work pieces
Spindle vibrations
Milling (machining)
Issue Date: 2009
Publisher: Trans Tech Publications
Citation: Gücüyener, İ. ve Emel, E. (2009). "A fiber-optic bending sensor for the vibration monitoring of CNC face-milling machine". ed. Z. Gosiewski ve Z. Kulesza. Solid State Phenomena, Mechatronic Systems and Materials, 147-149, 627-632.
Abstract: Vibration measurement of CNC milling is one of the used techniques for prediction of tool wear. Monitoring of tool wear is very important since a worn tool will affect machine and workpiece either. We developed a fiber-optic sensor for spindle vibration of CNC face-milling machine. The sensor is based on monitoring loss of light from the fiber core. For this sensor a laser light transmitter circuit, a sense plane construction, and a light receiver circuit are designed. Designed fiber-optic sensor is tested on Taksan TMC 650V face-milling machine. Obtained signals from this sensor is investigated in time domain and frequency domain and showed that it is valuable to tool ware monitoring.
URI: https://doi.org/10.4028/www.scientific.net/SSP.147-149.627
https://www.scientific.net/SSP.147-149.627
http://hdl.handle.net/11452/25955
ISSN: 1012-0394
Appears in Collections:Scopus
Web of Science

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