Papers by Author: Hang Goo Kim

Abstract: In this study, an automated scrap-sorting system using image processing technology has been designed and examined to automatically sort out specified materials from a mixture, especially Cu and other non-ferrous metal scraps from a mixture of iron scraps. In the functional tests of the system, its efficiency in the separation of Cu scraps from its mixture with Fe ones reaches to 75 % or more at a conveying speed of 20 m/min., and thus it is expected that the system can be commercialized in the industry of shredder makers if an automated sorting system of high speed is realized.

Abstract: This study examined the application of color measurement to determining the chemical composition of Cu alloys such as Cu-Zn, Cu-Sn, and Cu-Al using a color recognition system. Measured data showed that the hue intensity changed exponentially when Zn, Sn, or Al in the Cu binary systems and fitted well with an exponential equation within the experimental error. This indicates that the obtained equations can be used for predicting the compositions of Cu-Zn, Cu-Sn, and Cu-Al systems by measuring the hue intensity.