Evaluation of surface roughness of a machined metal surface based on laser speckle pattern

The Journal of Engineering

Dong Xu¹  Quan Yang²  Feng Dong³ 

[1] Center for Smart Structures and Materials, Northwestern University , 633 Clark Street, Evanston , USA;National Engineering Research Center of Flat Rolling Equipment, University of Science and Technology Beijing , 30 Xueyuan Road, Beijing , People's Republic of China

关键词: machined metal surface;    laser speckle phenomenon;    digital speckle pattern;    machine tools;    fractal parameter;    statistical analysis;    surface roughness measurement;    moving surfaces;    rough surfaces;   

DOI  :  10.1049/joe.2018.5057

学科分类：工程和技术（综合）

来源: IET

【 摘 要 】

The surface roughness of a machined metal surface is crucial to its appearance and performance. There are hardly any in-situ methods for surface roughness measurement of moving surfaces. A study of the digital speckle patterns generated by rough surfaces illuminated by a laser is performed experimentally. Laser speckle phenomenon can be used to monitor the surface roughness in a non-contact way. By investigating the effect of the surface roughness on the statistical and fractal parameters of the laser speckle pattern, an assessment method for evaluating surface roughness is discussed. The results show that some of the proposed statistical parameters have definite relationships with the surface roughness and can be explored to evaluate the surface roughness. Furthermore, the fractal parameters of the speckle pattern are sensitive to the type of machining process and therefore they can be used to classify the machined surface. The method can be a practical tool to achieve in-situ surface roughness measurement of moving surfaces.

【 授权许可】

CC BY