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基于LIBS技术的废钢表面金属镀层智能识别
Intelligent identification of metal coatings on scrap steel surfaces based on LIBS technology
【摘要】 本研究利用激光诱导击穿光谱(laser-induced breakdown spectroscopy, LIBS)技术,分析了有镀层和无镀层废钢的光谱特征随激光脉冲数的演变规律。研究发现,对于有镀层废钢,镀层元素的谱线强度随脉冲数增加先上升后下降,而Fe元素谱线强度则逐渐增加;对于无镀层废钢,Fe元素谱线强度在初始脉冲后快速增加,随后趋于稳定。基于这些规律,研究提出通过Fe元素归一化强度的标准差阈值(设定为0.02)来识别废钢表面是否存在镀层。此外,通过分析镀层元素归一化强度的变化,研究提出了一种基于谱线归一化强度累加值的方法,用于确定镀层元素的种类,即最大累加值对应的元素为镀层元素。该方法为废钢表面镀层的快速识别和分类提供了有效的技术手段。
【Abstract】 The laser-induced breakdown spectroscopy(LIBS) technology to analyze the evolution of spectral characteristics of scrap steel with and without coatings as a function of laser pulse count was utilized. The research reveals that for coated scrap steel, the spectral line intensity of coating elements initially increases and then decreases with the increase in pulse count, while the spectral line intensity of Fe element gradually increases. For uncoated scrap steel, the spectral line intensity of Fe element rapidly increases after the initial pulses and then stabilizes. Based on these patterns, using the standard deviation threshold of the normalized intensity of Fe element(set at 0.02) to identify the presence of coatings on scrap steel surfaces was proposed. Furthermore, by analyzing the changes in the normalized intensity of coating elements, a method based on the cumulative value of normalized spectral line intensities to determine the type of coating element was introduced, where the element corresponding to the maximum cumulative value was identified as the coating element. An effective technical means for the rapid identification and classification of coatings on scrap steel surfaces was provided.
- 【文献出处】 冶金自动化 ,Metallurgical Industry Automation , 编辑部邮箱 ,2025年03期
- 【分类号】TG174.4;O657.38
- 【下载频次】10