Photonic Sensors, Volume. 5, Issue 1, 72(2015)

On-Line Defect Detection of Aluminum Coating Using Fiber Optic Sensor

Supriya S. PATIL1、* and A. D. SHALIGRAM2
Author Affiliations
  • 1Department of Electronic Science, Abasaheb Garware College, Pune, India
  • 2Department of Electronic Science, University of Pune, Pune, India
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    Aluminum metallization using the sprayed coating for exhaust mild steel (MS) pipes of tractors is a standard practice for avoiding rusting. Patches of thin metal coats are prone to rusting and are thus considered as defects in the surface coating. This paper reports a novel configuration of the fiber optic sensor for on-line checking the aluminum metallization uniformity and hence for defect detection. An optimally chosen high bright 440 nm BLUE LED (light-emitting diode) launches light into a transmitting fiber inclined at the angle of 60° to the surface under inspection placed adequately. The reflected light is transported by a receiving fiber to a blue enhanced photo detector. The metallization thickness on the coated surface results in visually observable variation in the gray shades. The coated pipe is spirally inspected by a combination of linear and rotary motions. The sensor output is the signal conditioned and monitored with RISHUBH DAS. Experimental results show the good repeatability in the defect detection and coating non-uniformity measurement.

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    Supriya S. PATIL, A. D. SHALIGRAM. On-Line Defect Detection of Aluminum Coating Using Fiber Optic Sensor[J]. Photonic Sensors, 2015, 5(1): 72

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    Paper Information

    Category: Regular

    Received: Jun. 10, 2014

    Accepted: Sep. 11, 2014

    Published Online: Jan. 20, 2015

    The Author Email: PATIL Supriya S. (supriya_kotasthane@yahoo.co.in)

    DOI:10.1007/s13320-014-0204-1

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