EVALUATION OF SURFACE DEFECTS OF PRODUCTS USING DIGITAL TECHNOLOGIES

N. Antonova, E. Haustova
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Abstract

The suggested approach provides an opportunity under the conditions of enterprises to give a comprehensive view of products defects and functional coatings imperfections. The application of the computer program developed in the Microsoft Visual Studio environment, which allows digital image processing of the studied surfaces to estimate the area of external defects of materials, regardless of the nature of the origin of defects and the method of image acquisition, is proved. Research methods. Digital images of metal surfaces and coatings obtained by energy dispersive microanalysis, electron and optical microscopy have been tested. Research results and novelty. The possibility of using the program for evaluation of surface bands with local chemical and morphological inhomogeneities, determination of the porosity of materials is shown. The possibility of express evaluation of digital images of objects at macro-, meso- and microstructural levels for automated diagnostic control of surface defects within 1-2 seconds is implemented. Disaggregation of brightness, texture and color components of the image significantly increases the speed and efficiency of image processing structures. Conclusions: The proposed program is versatile, does not require special user skills and serves as a convenient tool for analyzing and controlling the quality of objects of various physico-chemical nature. The results of the study indicate that the application of the developed computer program makes effective quantitative calculation of the area of local defects, areas of distribution of chemical elements, various inclusions, surface porosity of products and coatings possible.
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利用数字技术评估产品表面缺陷
建议的方法提供了在企业条件下对产品缺陷和功能涂层缺陷进行全面观察的机会。证明了在Microsoft Visual Studio环境下开发的计算机程序的应用,该程序允许对所研究表面进行数字图像处理,以估计材料外部缺陷的面积,而不考虑缺陷起源的性质和图像获取方法。研究方法。通过能量色散显微分析、电子显微镜和光学显微镜对金属表面和镀层的数字图像进行了测试。研究成果和新颖性。显示了使用该程序评估具有局部化学和形态不均匀性的表面带,确定材料孔隙率的可能性。实现了对物体的宏观、中观和微观结构水平的数字图像进行快速评估的可能性,以便在1-2秒内对表面缺陷进行自动诊断控制。对图像的亮度、纹理和颜色成分进行分解,大大提高了图像处理结构的速度和效率。结论:该程序具有通用性,不需要特殊的用户技能,可作为分析和控制各种物理化学性质物体质量的便捷工具。研究结果表明,应用所开发的计算机程序可以有效地定量计算局部缺陷面积、化学元素分布面积、各种夹杂物、产品表面孔隙率和涂层。
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