陈登峰

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陈登峰,博士,副教授/硕导,公派美国俄亥俄州立大学访问学者,担任陕西省智能建筑与楼宇自动化虚拟仿真教学中心副主任,陕西省金属学会理事兼冶金自动化与计算机专委会主任,陕西省照明学会理事,陕西省自动化学会智能机器人专委会委员。主要参与及主持国家级项目3项、省部级项目6项、西安市科技计划项目8项、其他厅局...

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论文成果

Vibration style ladle slag detection method based on discrete wavelet decomposition

发布时间:2024-08-09  点击次数:

所属单位:建筑设备科学与工程学院

发表刊物:proceedings of 26th Chinese Control and Decision Conference

关键字:中文关键字:下渣检测;l炼钢;振动;功率谱估计;离散小波分解,英文关键字:Slag Detection; Steel Making; Vibration; PSD; Disc

摘要: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.

备注:陈登峰

第一作者:嵇启春,肖海燕,陈登峰

论文类型:期刊论文

卷号:卷:

期号:期:

页面范围:页:3019-3022

是否译文:

发表时间:2014-05-01

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