PGNAA水泥分析系统中原料水含量影响分析及自校正技术研究

Research of Analysis and Autocorrection Technology for Water Content Influence in PGNAA System

  • 摘要: 水泥原料中Ca、Fe、Si、Al等元素含量的高低决定着水泥的品质,而元素的含量与其对应的峰面积呈正比。由于氢元素既影响快中子慢化效率,同时又具有很高的热中子俘获截面,因此,本工作利用蒙特卡罗软件MCNP建立了基于252Cf中子源的瞬发γ中子活化分析(PGNAA)水泥在线分析系统模型,分别对0%~5%水含量下的水泥原料进行模拟分析。通过解谱分析分别得到各关键元素的峰面积,分析了水含量变化对关键元素峰面积的影响,并建立了水含量自校正模型。结果显示,本文所建立的自校正模型能将未知水含量状况下各关键元素的峰面积校正为不含水状况下的峰面积,有效剔除了原料中水含量的影响,从而提高了各关键元素的测量精度。

     

    Abstract: The contents of elements (such as calcium, iron, silicium and aluminum) determine the quality of cement, and the content of each element is directly proportional to its peak area. Hydrogen affects the moderation efficiency of fast neutrons, and has the very high thermal neutron capture cross-section. MCNP was used to build a PGNAA online analysis system model for cement which was based on a 252Cf neutron source. The measurement of cement with different water contents (0%-5%) was simulated using this system, and the peak areas of key elements were obtained by spectral analysis. The influence of water content on peak areas of key elements was analyzed, and a water content auto-correction model was established. The results show that this model can revise key elements’ peak area in unknown water content into peak areas in water-free condition, which effectively eliminates the influence of water content in cement raw materials, and the measuring accuracy of key elements can be improved.

     

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