Grinding surface roughness measurement based on the co-occurrence matrix of speckle pattern texture

Area of Science:

• Optics and Photonics
• Materials Science
• Metrology

Background:

• Surface roughness is critical for material performance and function.
• Traditional surface roughness measurement methods can be time-consuming or limited in application.
• Laser speckle patterns contain rich information about surface properties.

Purpose of the Study:

• To develop a non-contact, texture analysis-based technique for surface roughness measurement.
• To investigate the relationship between speckle pattern texture features and surface roughness.
• To enable in-process surface roughness evaluation.

Main Methods:

• Acquiring surface speckle pattern images using a simple laser and CCD camera setup.
• Analyzing speckle pattern texture using gray-level co-occurrence matrices (GLCM).
• Calibrating the measurement system with a standard surface roughness specimen.

Main Results:

• A strong monotonic relationship was found between surface roughness and the energy feature of GLCM.
• The calibrated system accurately evaluated surface roughness from single speckle images.
• The robustness of speckle pattern texture characterization for surface roughness was demonstrated.

Conclusions:

• The proposed technique offers a viable method for non-contact surface roughness measurement.
• The technique is suitable for in-process monitoring due to its speed and simplicity.
• Speckle pattern texture analysis provides a robust approach to characterizing surface topography.