石英砂湿法生产中粒度检测技术与系统研究

发布时间：2018-05-21 03:38

本文选题：粒度检测 + Mie散射理论　；参考：《西安科技大学》2015年硕士论文

【摘要】：目前,石英砂粒度检测采用人工筛分法或比表面积法,这两种方法测量精度差、耗时长、成本高、无法及时跟踪产品质量,导致生产中无法自动调整分级设备工作参数、生产效率低。为了解决上述问题,对石英砂湿法生产中粒度检测技术和系统进行研究。根据石英砂湿法生产要求,重点探究了Mie散射理论的应用难点反演算法。独立模式反演算法抗干扰能力差、多峰适应性弱,基于该算法的粒度检测系统性能受到很大限制。通过对病态方程反问题研究发现,采用不同正则算子可改善P-T法性能,运用与散射角有关的预处理技术可提高反演算法的稳定性和噪声适应能力。在反演算法改进的基础上,设计了一种基于Mie散射理论的石英砂粒度检测系统。该系统分为信号产生和采集模块、信号处理模块、数据处理和显示模块。信号产生和采集模块包括激光器、扩束准直器、样品池、傅立叶透镜和CCD相机,该模块利用扩束准直器提高激光束的平行性、滤除高频分量、减小艾里斑尺寸、增大检测上限;确定了傅立叶透镜参数选择公式,根据待测粒度范围和光源光斑尺寸即可直接选取透镜;采用CCD相机代替硅光二极管阵列实现光电转换,降低了系统维护难度、提高了系统稳定性、减小了成本。信号处理模块利用图像分环和灰度处理方式得到散射光强曲线,并对该曲线做了平滑处理。数据处理和显示模块根据提出改进的反演算法编程实现,并将检测的粒度分布结果图形化输出。通过仿真分析,改进的反演算法兼顾了光能残差和平滑程度,提升了抗噪声能力。通过搭建的实验系统测试,设计的基于改进反演算法的石英砂粒度检测系统达到了技术要求。
[Abstract]:At present, the particle size of quartz sand is detected by artificial sieving method or specific surface area method. These two methods have poor measuring accuracy, long time consumption, high cost, and can not track the product quality in time, resulting in the inability to automatically adjust the working parameters of the classifying equipment in production. The production efficiency is low. In order to solve the above problems, the technology and system of particle size detection in quartz sand wet production were studied. According to the requirement of quartz sand wet production, the difficult inversion algorithm of Mie scattering theory is studied. The independent mode inversion algorithm has poor anti-jamming ability and weak multi-peak adaptability, so the performance of the granularity detection system based on the algorithm is greatly limited. By studying the inverse problem of ill-conditioned equation, it is found that the performance of P-T method can be improved by using different canonical operators, and the stability and noise adaptability of inversion algorithm can be improved by using preprocessing technique related to scattering angle. Based on the improvement of inversion algorithm, a quartz sand particle size detection system based on Mie scattering theory is designed. The system is divided into signal generation and acquisition module, signal processing module, data processing and display module. The signal generation and acquisition module includes laser, beam expanding collimator, sample cell, Fourier lens and CCD camera. The module uses beam expanding collimator to improve the parallelism of laser beam, filter out the high frequency component, reduce the size of Allie spot, and increase the detection upper limit. The parameter selection formula of Fourier lens is determined, the lens can be directly selected according to the range of particle size to be measured and the size of light spot of light source, the photoelectric conversion is realized by using CCD camera instead of silicon photodiode array, and the system maintenance difficulty is reduced. The system stability is improved and the cost is reduced. In the signal processing module, the scattering intensity curve is obtained by using image ring splitting and gray processing, and the curve is smoothed. The data processing and display module is programmed according to the improved inversion algorithm and the results of the granularity distribution are graphically outputted. Through simulation analysis, the improved inversion algorithm takes into account the light energy residuals and smoothness, and improves the anti-noise ability. The quartz sand granularity detection system based on the improved inversion algorithm has met the technical requirements.
【学位授予单位】：西安科技大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TD985

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