Title
Integration Of Fiber-Optic Sensors In Measuring Machines
Keywords
Fiber-optic; Form inspection; Image distortion; Image processing; Non-contact measurement; Nozzle orifice; Roundness measurement
Abstract
In last years, optical metrology due to its capability in miniaturization and sensitivity became the primary solution in measurement of complex geometries and fragile pieces. Here, we propose a promising approach to perform highly accurate distance measurements using low-coherence fiber-optic sensors for quality inspection of nozzle orifices in fuel injection systems. In this effort, we develop an adaptive image processing algorithm in MATLAB and install the necessary hardware on a form tester to accelerate and simplify the aligning process. As a result, the repeatability of measurements is one order of magnitude improved while the standard deviation is almost 60% reduced. © 2014 Elsevier Ltd. All rights reserved.
Publication Date
1-1-2014
Publication Title
Measurement: Journal of the International Measurement Confederation
Volume
57
Number of Pages
25-32
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1016/j.measurement.2014.07.004
Copyright Status
Unknown
Socpus ID
84906512173 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84906512173
STARS Citation
Davanlou, Ashkan, "Integration Of Fiber-Optic Sensors In Measuring Machines" (2014). Scopus Export 2010-2014. 9021.
https://stars.library.ucf.edu/scopus2010/9021