Uncertainties and optimized sampling in surface roughness characterization
2011 (English)In: Wear, ISSN 0043-1648, E-ISSN 1873-2577, Vol. 271, no 3-4, p. 610-615Article in journal (Refereed) Published
Abstract [en]
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.
Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2011. Vol. 271, no 3-4, p. 610-615
Keywords [en]
Optimization, Surface roughness, Surface structure, Three dimensional, Local variations, Machined components, Machined surface, Measurement procedures, Optimized sampling, Roughness parameters, Sampling strategies
National Category
Production Engineering, Human Work Science and Ergonomics
Identifiers
URN: urn:nbn:se:hh:diva-14245DOI: 10.1016/j.wear.2010.07.002ISI: 000292678600021Scopus ID: 2-s2.0-77955002190OAI: oai:DiVA.org:hh-14245DiVA, id: diva2:392658
Conference
12th International Conference on Metrology and Properties of Engineering Surfaces, Rzeszow University of Technology, Rzeszow, POLAND, JUL 08-10, 2009
Projects
SimupartsLinersurf22011-01-272011-01-272017-12-11Bibliographically approved