基于激光自混合干涉的轧辊磨损在线检测方法的研究

发布时间：2018-05-19 02:03

本文选题：在线检测 + 自混合干涉　；参考：《燕山大学》2015年硕士论文

【摘要】：轧辊是带钢板材轧制过程中的重要设备部件,也是轧制生产中的主要消耗部件之一。在板材轧制过程中轧辊的磨损不可避免,必须频繁地换辊,并加以离线修磨才能满足对产品的质量和板形的要求,但这样势必影响生产效率。应运而生的在线磨辊技术能大幅提高钢材的生产效率,已成为国内外研究、开发的重点新技术之一。而精确地进行轧辊磨损的在线检测则是实现在线磨辊技术的关键。因此研究轧辊磨损在线精密测试技术是目前轧制技术领域的迫切需求。本文针对轧辊磨损检测的检测环境恶劣、测量精度低等问题,基于激光自混合干涉测量理论,研究轧辊磨损在线检测的原理及方案,提出一种非接触式、在线检测新方法。论文研究了基于激光自混合干涉原理测量轧辊磨损量的原理,将轧辊磨损量转化为微位移量进行检测,设计了轧辊磨损检测系统,该系统主要由激光自混合干涉位移测量传感装置、轧辊检测装置和信号处理模块组成。研究轧辊磨损在线检测误差分析与补偿理论,提出一种基于LMS算法的的自适应噪声抵消法进行轧辊磨损检测误差分析,用于减小检测过程中环境噪声对检测结果带来的干扰。通过仿真分析,验证该方法可有效减少信号中的背景噪声。同时利用插值法降低辊身与检测装置之间相对运动带来的噪声,提高系统的分辨率与精度。信号处理中利用小波变换法对SMI信号进行滤波处理,并用相位展开法进行SMI信号相位提取,重构外腔物体的位移信息,得到轧辊磨损量。在实验室条件下设计搭建基于激光自混合干涉的轧辊磨损检测系统平台,进行实验研究,模拟工件磨损测量,实验结果分辨率可达到微米级,结果表明本文所提方法的有效性。
[Abstract]:Roll is an important equipment part in strip rolling process, and also one of the main consuming parts in rolling production. In order to meet the requirements of product quality and shape, the roll wear is inevitable in the process of plate rolling, so it is necessary to change the roll frequently and grind off line, but this will inevitably affect the production efficiency. The production efficiency of steel can be greatly improved by the on-line roller grinding technology, which has become one of the key new technologies in domestic and international research and development. It is the key to realize on-line roller grinding technology to detect roller wear accurately. Therefore, it is an urgent need to study roll wear online precision measurement technology in the field of rolling technology. Aiming at the problems of poor measuring environment and low precision of roller wear detection, based on the theory of laser self-mixing interferometry, this paper studies the principle and scheme of roller wear on-line detection, and puts forward a new non-contact and on-line testing method. In this paper, the principle of measuring roll wear based on laser self-mixing interference principle is studied, and the roll wear measurement system is designed. The system is mainly composed of laser self-mixing interferometric displacement measuring device, roller detecting device and signal processing module. In this paper, the error analysis and compensation theory of roll wear on-line detection is studied. An adaptive noise cancellation method based on LMS algorithm is proposed to analyze the roller wear detection error, which is used to reduce the interference caused by environmental noise in the detection process. The simulation results show that the proposed method can effectively reduce the background noise in the signal. At the same time, the interpolation method is used to reduce the noise caused by the relative motion between the roller body and the detecting device, and to improve the resolution and accuracy of the system. In signal processing, the SMI signal is filtered by wavelet transform method, and the phase extraction of SMI signal is carried out by phase unwrapping method. The displacement information of outer cavity object is reconstructed and the roll wear is obtained. The roller wear detection system based on laser self-mixing interference was designed and built in the laboratory. The experimental research was carried out and the workpiece wear measurement was simulated. The resolution of the experimental results can reach micron level. The results show that the proposed method is effective.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：TG333.17

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