The Influence of Filtration on the Results of Measurements Made with Optical Coordinate Systems
Source abstract
Abstract
This article presents research and a discussion on the proper use of filtration in optical measurements. Measurements were taken using a Werth multisensory machine using a Werth Zoom optical sensor. During optical measurements, the filtration option can be used. The manufacturer defines filters as “Dust”. They allow the machine operator to define the appropriate size depending on the type of inclusions or artifacts created in the production process. They can occur in processes such as punching on presses or production in the injection molding process of plastics. The presented research results and statistical analyses confirm the assumptions regarding the validity of using filters and their values. The use of filters with a higher value significantly affects the obtained results and forces the machine user to make a reasonable choice.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Measurement and Metrology Techniques · Surface Roughness and Optical Measurements · Optical measurement and interference techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Lear Corporation Poland II, Sp.z o.o., ul. 3-go Maja 8, 05-800 Pruszków, Poland
Laboratory of Coordinate Metrology, Faculty of Mechanical Engineering, Cracow University of Technology, al. Jana Pawla II 37, 31-864 Krakow, Poland
Funding
Polish Ministry of Education and Science
References (20)
Show source-provided references
1. Analysis of the applicability of filtration methods for coordinate measurements10.1051/matecconf/201822401093 ↗
2. Grechnikov, F.V., Kochetkov, A.V., and Zakharov, O.V. (2018, January 2–6). Selection of Methods for Filtering the Signal when Measuring at Coordinate Measuring Machine. Proceedings of the 14th International Scientific-Technical Conference APEIE, Novosibirsk, Russia.10.1109/APEIE.2018.8545621 ↗
3. Kochetkov, A.V., Zakharchenko, M.Y., Troshin, A.A., and Zakharov, O.V. (2020, January 3–4). Selection of Filter Methods in the Analysis and Measured of Geometry and Surface Roughness. Proceedings of the International Multi-Conference on Industrial Engineering and Modern Technologies, Vladivostok, Russia.10.1109/FarEastCon50210.2020.9271657 ↗
4. A review of algorithms for filtering the 3D point cloud10.1016/j.image.2017.05.009 ↗
5. Accuracy improvement of laser line scanning for feature measurements on CMM10.1016/j.optlaseng.2011.06.009 ↗
6. Hocken, R.J., and Pereira, H.P. (2012). Coordinate Measuring Machines and Systems, CRC Press, Taylor & Francis Group. [2nd ed.].
7. Hanc, T. (1964). Pomiary Optyczne, Wydawnictwa Naukowo-Techniczne.
8. Adamaszek, Z. (2016). Optyka, Państwowe Wydawnictwo Naukowe.
9. Hecht, E. (2012). Optyka, Państwowe Wydawnictwo Naukowe.
10. Pluta, M. (1982). Mikroskopia Optyczna, Państwowe Wydawnictwo Naukowe.
11. Christoph, R., and Neumann, H.J. (2013). Multisensor-Koordinatenmesstechnik, Süddeutscher Verlag.
12. Hofmann, D. (2011). Vorlesung Optische Koordinatenmesstechnik. Qualitätssicherung und Qualitätsmesstechnik, Steinbeis Transferzentrum.
13. Harding, K. (2013). Handbook of Optical Dimensional Metrology, CRC Press.
14. Weckenmann, A., Kraemer, P., and Hoffmann, J. (2007, January 21–24). Manufacturing Metrology—State of the art and prospects. Proceedings of the 9th IMEKO TC14: International Symposium on Measurement and Quality Control (9th ISMQC), Chennai, India.
15. Harmatys, W., Gąska, A., Gąska, P., Gruza, M., Jedynak, M., Kobiela, K., and Marxer, M. (2022). Applicability Assessment of Different Materials for Standards Ensuring Comparability of Optical and Tactile Coordinate Measurements. Materials, 15.10.3390/ma15124128 ↗
16. (2025, March 10). Available online: www.werth.de.
17. Pairwise Multiple Comparison Procedures with Unequal N’s and/or Variances: A Monte Carlo Study
18. Montgomery, D.C. (2019). Introduction to Statistical Quality Control, John Wiley & Sons Inc.. [8th ed.].
19. Levin, I.R. (1987). Statistics for Management, Prentice-Hall, Inc.. [4th ed.].
20. On the comparison of several mean values: An alternative approach10.1093/biomet/38.3-4.330 ↗