Abstract
An instrument based on twin laser sensors for non-contact measuring is designed for a machine tool applied in the process monitoring for the thickness measurement of a print circuit board (PCB). Without proper adjustments of an experienced operator, the precision of twin laser measuring is worse than the resolution of a single laser measuring. In this paper, a hybrid system by evolving a case-based reasoning (CBR) system with a genetic algorithm (GA) is developed for the automatic regulation problem of a twin laser measuring system. The results of the thickness measurement of a PCB by the hybrid system were compared with the results of a back propagation neural network, a conventional CBR, and a multiple regression analysis method. The experimental results show that the GA/CBR is more accurate and efficient when applied to the thickness measurement of a PCB than other traditional methods.
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Received: May 2005 / Accepted: January 2006
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Chang, PC., Chen, LY. & Liu, CH. An evolutionary regulation algorithm for the twin laser measuring system. J Intell Manuf 17, 545–556 (2006). https://doi.org/10.1007/s10845-006-0027-z
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DOI: https://doi.org/10.1007/s10845-006-0027-z