Uncertainties and optimized sampling in surface roughness characterization

• Published in: Wear Vol. 271; no. 3; pp. 610 - 615
• Main Authors: Rosén, B.-G., Garnier, J.
• Format: Journal Article Conference Proceeding
• Language: English
• Published: Amsterdam Elsevier B.V 03.06.2011; Elsevier
• Subjects: Applied sciences; Exact sciences and technology; Friction, wear, lubrication; Honing; Industrial engineering and economy; Industrial metrology. Testing; Industriell teknik och ekonomi; Local variations; Machine components; Machined components; Machined surface; Manufacturing engineering; Manufacturing engineering and work sciences; Measurement procedures; Mechanical engineering. Machine design; Optimization; Optimized; Optimized sampling; Produktion och arbetsvetenskap; Produktionsteknik; Roughness; Roughness parameters; Sampling; Sampling strategies; Strategy; Surface roughness; Surface structure; TECHNOLOGY; TEKNIKVETENSKAP; Three dimensional; Topography; Uncertainty; Uncertainty; Optimized; Sampling; Topography; Honing; Roughness; Machining; Rough surface; Experimental study; Surface metrology; Grinding; Surface structure; Profilometry; Tribology
• ISSN: 0043-1648; 1873-2577; 1873-2577
• DOI: 10.1016/j.wear.2010.07.002

▶ Engineering surfaces can exhibit significant global- and local parameter variations. ▶ Uncertainties in sampling can be un-expectantly large due to variations in topography. ▶ Optimised sampling strategies both locally and globally decrease uncertainty. ▶ Optimised sampling shows a potential to halve the number of measurements needed. ▶ More sophisticated rules than presented here need to be developed for “stop-sampling” criteria. Usage of 3D roughness parameters measurements requires knowledge of uncertainty causes in order to design proper measurement procedures. Even on apparently homogeneous machined surfaces, large local variations in 3D roughness parameters have previously been reported. This paper introduces and tests a concept for optimized sampling based on local-, and global topography analysis, using measurements of the Sa parameter on a large machined component as a practical example. It is shown that more than 40 measurements of Sa may be needed to attain a stable value, but that choice of an appropriate sampling strategy may reduce this requirement considerably. The results point to a possible route to minimize required measurements and contribute to the development of the “best-practice” when using 3D surface structure metrology.