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Vibration Style Ladle Slag Detection Method based on Discrete Wavelet Decomposition

机译:基于离散小波分解的振动样式钢包渣检测方法

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The purity of molten steel is a crucial factor of steel products' quality. Detection and removal of slag carryover from the molten metal is an important task in steel making procedure, especially in the continuous casting process. Researchers have applied several different slag carryover detection methods to solve the slag carry-over since 1980s. such as electromagnetic coils method of AMEPA, Infrared thermal infrared imaging method, supersonic wave method and vibration method, which are all non-contact methods and some other contact type slag detection methods. In this paper, a non-contact vibration analysis slag detection method is presented. The main principle of this method is based on the vibration variety of ladle shroud between pure molten steel fluid and slag carryover fluid. The experiences of steel making operators have proven the differences of vibration wave in continuous casting process. The signal data gathered from produce field is analyzed by power spectral density (PSD) and discrete wavelet decomposition (DWD). The experiment results are given, the vibration wave feature of slag carryover is distinctive. Which verified the validity of vibration slag detection method.
机译:钢水的纯度是钢材产品质量的关键因素。从熔融金属检测和去除炉渣携带是钢制造程序中的重要任务,特别是在连续铸造过程中。研究人员已经应用了几种不同的渣携带检测方法来解决自20世纪80年代以来的解决方案。如EMEPA的电磁线圈方法,红外线热红外成像方法,超声波方法和振动方法,这是所有非接触式方法和一些其他接触式炉渣检测方法。本文提出了一种非接触式振动分析矿渣检测方法。该方法的主要原理是基于纯钢化液和渣携带液之间的钢包罩的振动各种。钢制运营商的经验已经证明了连续铸造过程中振动波的差异。通过功率谱密度(PSD)和离散小波分解(DWD)分析从产生场收集的信号数据。给出了实验结果,炉渣携带的振动波特征是独特的。验证了振动渣检测方法的有效性。

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