Development of vibration style ladle slag detection methods and the key technologies

来源 :Science China(Technological Sciences) | 被引量 : 0次 | 上传用户:q51525779
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Ladle slag carry-over detection technology (SCDT) is of important practical significance to steel continuous casting production (CCP),which can effectively improve the casting blank quality,increase molten steel yield ratio,and protract the service life of tundish.The current SCDT realization methods and their application circumstance were summarized,and their main problems during the course of factual production were pointed out.The difficult technical points of detection principle,digital signal processing for vibration style SCDT development were described.To aim at the problems of vibration style SCDT,such as low recognition stability and long applied adjustment time,its key technologies including water model experimental platform establishment,two-phase sink vortex entrapment mechanism,forced vibration response of shroud nozzle and steel stream shock vibration signal processing optimization were analyzed deeply,and the corresponding research route and advices were given. Ladle slag carry-over detection technology (SCDT) is of important practical significance to steel continuous casting production (CCP), which can effectively improve the casting blank quality, increase molten steel yield ratio, and protract the service life of tundish. Current SCDT realization methods and their application circumstance were summarized, and their main problems during the course of factual production were pointed out. The difficult technical points of detection principle, digital signal processing for vibration style SCDT development were described. Objectives at the problems of vibration style SCDT, such as low recognition stability and long applied adjustment time, its key technologies including water model experimental platform establishment, two-phase sink vortex entrapment mechanism, forced vibration response of shroud nozzle and steel stream shock vibration signal processing optimization were analyzed deeply, and the corresponding research route and advices were given.
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