高温铸坯表面缺陷在线检测技术开发及应用

随着钢铁行业积极推进智能化,企业已不再满足于传统的高温铸坯冷却后人工表面缺陷抽检方法。为了实现连铸过程中铸坯表面缺陷的无损在线检测和及时的质量判定,本项目在机器视觉无损检测的理论基础上,开发了一种基于CCD及激光扫描相配合的实时检测铸坯缺陷轮廓的方法,应用机器视觉和图形处理方法对连铸坯表面缺陷形态进行了三维数字化重构,并对缺陷进行识别与分类。基于实验室研究和现场应用,结果表明,16台CCD满足高温板坯全幅周向的检测要求,缺陷尺寸检测分辨率达到毫米级,通过数字化、精确化定位缺陷的位置及深度,满足高温铸坯缺陷在线检测与监测,并为铸坯产品质量溯源提供有力的支撑。

Development and application of on line detection technology for surface defects of high temperature billets

With the improvement of the requirements of intellectualization in the iron and steel industry, iron and steel enterprises are no longer satisfied with the traditional manual surface defect sampling method after high-temperature slab cooling. In order to realize the non-destructive online detection and quality judgment of slab surface defects in the process of continuous casting, based on the theory of machine vision non-destructive detection, a method of real-time detection of slab defect contour based on CCD and laser scanning is developed in this project. The three-dimensional digital reconstruction of slab surface defect morphology is carried out by using machine vision and graphic processing methods, which effectively realizes the recognition and classification of defect images. Combined with laboratory calibration and field application, the results show that 16 CCD can meet the requirements of full width circumferential detection of high-temperature slab, and defect size detection resolution reaches millimeter level. Through digitization and accurate positioning of the location and depth of defects, it can meet the online detection and monitoring of high-temperature slab defects, and provide a strong support for the traceability of slab product quality.