2A1-L14 火花に基づく鋼材成分識別の研究(ロボットビジョン)

概要

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Spark testing is normally conducted to determine and/or classify materials of steel stocks as a final step of quality controls in ironworks. However, there are not quantitative criteria and discrimination results are varied among inspectors even though spark testing can be conducted in short time and is nondestructive test. It also increases a sense of commitment and a burden of inspectors because he/she independently conducts a conclusive confirmation of quality controls which may affect company's confidence. Therefore, this paper proposes an automatic and a quantitative inspection method in spark testing by using image processing. In this method, carbon content of a steel stock is estimated based on amount of explosions and spark by extracting exploded spark which is one of indicators of carbon content.
2011-05-26