Abstract
To effectively control all types of surface defects in alloy steel casting slab, quantitative characterization must be taken. Thus, corresponding quantitative characterization criterion of various casting slab surface defects was established firstly in this paper. Mapping relationships between casting process parameters (like carbon content, slab thickness, casting speed, depth of submerged nozzle, water ratio of secondary cooling, and so on) and surface defects, and simplified surface defect prediction model of alloy steel casting slab were established by using Partial Least Squares Regression. Application results indicated that the prediction results of surface defects highly coincided with casting production situation, which fully verified the applicability of the prediction model.
Publisher
Trans Tech Publications, Ltd.
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