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Article

Verification of Characteristics of Spline Filter Series Robust Filters for Surface Roughness and Proposal of Filter Selection Guidelines

1
Faculty of Engineering, Daiichi Institute of Technology, Kagoshima 8994395, Japan
2
Faculty of Engineering, HOSEI University, Tokyo 1848584, Japan
3
Faculty of Science and Engineering, Chukyo University, Aichi 4660825, Japan
*
Author to whom correspondence should be addressed.
Appl. Sci. 2023, 13(6), 3390; https://doi.org/10.3390/app13063390
Submission received: 6 February 2023 / Revised: 24 February 2023 / Accepted: 2 March 2023 / Published: 7 March 2023
(This article belongs to the Section Surface Sciences and Technology)

Abstract

In surface roughness measurements, the presence of spikes in the primary profile can disable a normal filter from extracting the shape and waviness components. The robust spline filter (RSF) has been proposed to solve this problem. However, because ISO 16610-32, an RSF standard, has a significant deficiency, it was withdrawn in the Technical Specifications stage. The other proposed RSFs only show the method and a few examples with normal roughness and spike. Therefore, because the characteristics of each RSF have not been clarified, which RSF should be used for which primary profiles is not clear. This is one of the reasons for the delay in establishing ISO. In addition, the measurement sites need the establishment of robust spline filter selection guidelines. Therefore, in this paper, the characteristics of RSFs are clarified. Additionally, the points to be considered in using RSFs are summarized. Finally, the filter that should be selected for the specific application is identified. These results are expected to contribute to the widespread use of RSFs in the industrial world, avoid confusion at the measurement site, and help establish a new RSF standard.
Keywords: surface roughness; low-pass filter; outlier; robust spline filter surface roughness; low-pass filter; outlier; robust spline filter

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MDPI and ACS Style

Kondo, Y.; Yoshida, I.; Numada, M.; Koshimizu, H.; Saito, R.; Fujiyoshi, K. Verification of Characteristics of Spline Filter Series Robust Filters for Surface Roughness and Proposal of Filter Selection Guidelines. Appl. Sci. 2023, 13, 3390. https://doi.org/10.3390/app13063390

AMA Style

Kondo Y, Yoshida I, Numada M, Koshimizu H, Saito R, Fujiyoshi K. Verification of Characteristics of Spline Filter Series Robust Filters for Surface Roughness and Proposal of Filter Selection Guidelines. Applied Sciences. 2023; 13(6):3390. https://doi.org/10.3390/app13063390

Chicago/Turabian Style

Kondo, Yuki, Ichiro Yoshida, Munetoshi Numada, Hiroyasu Koshimizu, Ryo Saito, and Kaito Fujiyoshi. 2023. "Verification of Characteristics of Spline Filter Series Robust Filters for Surface Roughness and Proposal of Filter Selection Guidelines" Applied Sciences 13, no. 6: 3390. https://doi.org/10.3390/app13063390

APA Style

Kondo, Y., Yoshida, I., Numada, M., Koshimizu, H., Saito, R., & Fujiyoshi, K. (2023). Verification of Characteristics of Spline Filter Series Robust Filters for Surface Roughness and Proposal of Filter Selection Guidelines. Applied Sciences, 13(6), 3390. https://doi.org/10.3390/app13063390

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