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On-line Imaging Based Spectroscopy and FT-IR Based Techniques for Ceramic Glass Contaminants Identification in Cullets Recycling

机译:基于在线成像的基于光谱和FT-IR基于FT-IR的陶瓷玻璃污染物识别岩体回收中的纤维素技术

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The presence of ceramic glass contaminants in glass recycling plants reduces production quality and increases production costs. In fact, at sorting plant scale ceramic glass looks like normal glass and is detectable only by specialized personnel. In this paper an innovative approach for ceramic glass recognition, based on spectroscopic techniques, is proposed and investigated. In order to define suitable inspection strategies for the separation between useful (glass) and polluting (ceramic glass) materials, samples of glass and ceramic glass presenting different color, thickness, shape and manufacturing have been selected. Reflectance spectra have been obtained by imaging based spectroscopy covering the visible (VIS) and the near infrared (NIR) fields, whereas absorbance spectra in the mid-infrared (MIR) wavelength range have been detected by FT-IR spectroscopy. Results showed as recognition of glass and ceramic glass is possible for both the visible and infrared fields.
机译:玻璃回收厂中陶瓷玻璃污染物的存在降低了生产质量并提高了生产成本。事实上,在分拣厂规模陶瓷玻璃上看起来像正常玻璃,并且只能通过专业人员可检测。本文提出并研究了一种基于光谱技术的陶瓷玻璃识别的创新方法。为了定义有用(玻璃)和污染(陶瓷玻璃)材料的分离的合适的检查策略,选择了所选择的玻璃和陶瓷玻璃的样品,呈现出不同颜色,厚度,形状和制造。已经通过基于覆盖可见(VI)和近红外(NIR)场的基于型光谱学获得的反射光谱,而FT-IR光谱检测到中红外(MIR)波长范围内的吸光光谱。对于可见和红外线,可以显示玻璃和陶瓷玻璃的识别结果。

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