Paper
20 November 2003 Fiber Bragg grating sensors for dynamic machining applications
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Proceedings Volume 5278, Sixth Pacific Northwest Fiber Optic Sensor Workshop; (2003) https://doi.org/10.1117/12.544376
Event: Sixth Pacific Northwest Fiber Optic Sensor Workshop, 2003, Troutdale, OR, United States
Abstract
Fiber Bragg grating sensors have attracted considerable attention for measurement applications due to their greatly reduced size, low weight, and immunity to electromagnetic interference in comparison with traditional sensing methods. Dynamic measurement of industrial machine tools is useful for gauging surface accuracy, monitoring tool condition, and predicting process stability, but requires a robust sensing scheme. The small size and high natural frequencies of micro machining tools coupled with a harsh manufacturing environment can render traditional sensors ineffective. This work presents a new method for measuring tool motion with fiber Bragg grating strain sensors. The feasibility of the sensing scheme is first demonstrated with a simple bench-top cantilever beam experiment. Then, a method for potting the sensors in the through coolant holes of a 1/8” carbide end mill with a high-viscosity gap-filling cyanoacrylate is demonstrated. Comparative structural analysis tests demonstrate the effectiveness of the sensors. Measurements of tool motion during cutting are presented. Finally, methods of noise reduction and improving signal accuracy are discussed.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Matthew J. Bartow, Sean G. Calvert, and Philip V. Bayly "Fiber Bragg grating sensors for dynamic machining applications", Proc. SPIE 5278, Sixth Pacific Northwest Fiber Optic Sensor Workshop, (20 November 2003); https://doi.org/10.1117/12.544376
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Cited by 11 scholarly publications and 3 patents.
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KEYWORDS
Sensors

Fiber Bragg gratings

Motion measurement

Manufacturing

Spindles

Ferroelectric materials

Fiber optics sensors

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