Designing the new local defect digital filter for the surface roughness measurement systems

Authors

  • Valery Poroshin Moscow State Industrial University, Science Department
  • Dmitry Bogomolov Moscow State Industrial University, Science Department

DOI:

https://doi.org/10.32972/dms.2014.005

Keywords:

surface roughness, filtration algorithm, Gaussian filter

Abstract

Paper describes the new adaptive digital filtration algorithm for removing the local defects on the measured surface roughness profiles. The benefits of the proposed filtration algorithm in comparison with traditional Gaussian filter are shown.

References

Whitehouse, D. J.: Handbook of surface metrology. Institute of Physics Pub., 1994, p. 988.

Muralikrishnan, B.–Raja, J.: Computational Surface and Roundness Metrology. London: Springer. 2009, p. 263. https://doi.org/10.1007/978-1-84800-297-5

International Organization for Standardization, ISO 13565:1996. Geometrical Product Specification (GPS) – Surface texture: Profile method; Surfaces having stratified functional properties.

International Organization for Standardization, ISO/TS 16610-40:2006. Geometrical Product Specifications (GPS), Filtration, Part 40: Morphological Profile Filters: Basic Concepts, ISO, Geneva, Switzerland.

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Published

2014-05-30

How to Cite

Poroshin, V., & Bogomolov, D. (2014). Designing the new local defect digital filter for the surface roughness measurement systems. Design of Machines and Structures, 4(1), 51–56. https://doi.org/10.32972/dms.2014.005