New Method for Evaluating Surface Roughness Parameters Acquired by Laser Scanning.

Area of Science:

• Materials Science
• Surface Engineering
• Metrology

Background:

• Surface quality evaluation is crucial in materials science and civil engineering.
• Existing methods like geometric analysis (qualitative) and traditional roughness parameter computation (quantitative) have limitations in accuracy and interpretation.
• Current profilometry techniques (2D and 3D) lack standardized quantitative interpretation in civil engineering.

Purpose of the Study:

• To propose a new, quantitative method for evaluating material surface roughness.
• To develop a visual surface roughness signature for standardized analysis.
• To improve the accuracy and local evaluation of surface roughness coefficients.

Main Methods:

• Generation of a visual surface roughness signature.
• Computation of roughness parameters within hierarchically organized regions.
• Application of novel evaluation tools for local coefficient assessment.

Main Results:

• The new method enables quantitative analysis of surface roughness differences between samples, such as ceramic blocks.
• Microscale analysis identified significant variations in roughness parameters (R_aavg, R_asdv, R_amin, R_amax).
• The approach facilitates more accurate evaluation and comparison of sampled surfaces.

Conclusions:

• The proposed method offers a more accurate and standardized approach to surface roughness evaluation.
• The visual surface roughness signature provides a valuable tool for quantitative material comparison.
• This technique benefits applications in civil engineering and materials science requiring precise surface analysis.