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Sensors 2012, 12(8), 10148-10162; doi:10.3390/s120810148

On-Line Estimation of Laser-Drilled Hole Depth Using a Machine Vision Method

Department of Mechanical Engineering, National Yunlin University of Science and Technology, Douliou, Yunlin 64002, Taiwan
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Received: 7 June 2012 / Revised: 23 July 2012 / Accepted: 23 July 2012 / Published: 27 July 2012
(This article belongs to the Section Physical Sensors)
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Abstract

The paper presents a novel method for monitoring and estimating the depth of a laser-drilled hole using machine vision. Through on-line image acquisition and analysis in laser machining processes, we could simultaneously obtain correlations between the machining processes and analyzed images. Based on the machine vision method, the depths of laser-machined holes could be estimated in real time. Therefore, a low cost on-line inspection system is developed to increase productivity. All of the processing work was performed in air under standard atmospheric conditions and gas assist was used. A correlation between the cumulative size of the laser-induced plasma region and the depth of the hole is presented. The result indicates that the estimated depths of the laser-drilled holes were a linear function of the cumulative plasma size, with a high degree of confidence. This research provides a novel machine vision-based method for estimating the depths of laser-drilled holes in real time.
Keywords: machine vision; on-line estimation; laser-drilled hole depth; laser drilling; laser machining machine vision; on-line estimation; laser-drilled hole depth; laser drilling; laser machining
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Ho, C.-C.; He, J.-J.; Liao, T.-Y. On-Line Estimation of Laser-Drilled Hole Depth Using a Machine Vision Method. Sensors 2012, 12, 10148-10162.

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