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An Weldability Estimation of Laser Welded Specimens  

Lee, Jeong-Ick (용인송담대학 자동차기계학부)
Publication Information
Transactions of the Korean Society of Machine Tool Engineers / v.16, no.1, 2007 , pp. 60-68 More about this Journal
Abstract
It has been conducted by laser vision sensor for weldability estimation of front-bead after doing high speed butt laser welding of any condition. It has been developed a real time GUI(Graphic User Interface) system for weldability application in the basis of texts and field qualify levels. In the reference of bead imperfections, defects absolute position and defects intensity index of front-bead in the basis of formability reference, it has been produced a weldability estimation and defects intensity index of back-bead by back propagation neural network. In the result of by comparing measuring data by laser vision sensor of back-bead and data by back propagation neural network of one, it has been shown the similar results. Finally, under knowledge of welding condition in production line, it has been conducted a weldability estimation of back-bead only in knowledge of informations of front-bead data without using laser vision sensor or welding inspection experts and furthermore it can be used data for final inspection results of back-bead.
Keywords
Back Propagation Neural Network; Laser Vision Sensor; Weidability Estimation; Front-Bead; Back-Bead; Defects Intensity Index; Segment Splitting Method; Coefficient Correlation;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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