Gaussian Filtering Algorithm and LabVIEW Software Design for Non-Contact Measurement of Surface Roughness

CHEN Ting; WU Chunhui; LU Xin; WANG Yinghui; YE Huaichu; CHEN Ning; GUO Gangxiang

doi:10.12338/j.issn.2096-9015.2024.0032

Volume 68 Issue 7

Jul. 2024

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Article Navigation > Metrology Science and Technology > 2024 > 68(7): 28-34

CHEN Ting, WU Chunhui, LU Xin, WANG Yinghui, YE Huaichu, CHEN Ning, GUO Gangxiang. Gaussian Filtering Algorithm and LabVIEW Software Design for Non-Contact Measurement of Surface Roughness[J]. Metrology Science and Technology, 2024, 68(7): 28-34. doi: 10.12338/j.issn.2096-9015.2024.0032

Citation:

CHEN Ting, WU Chunhui, LU Xin, WANG Yinghui, YE Huaichu, CHEN Ning, GUO Gangxiang. Gaussian Filtering Algorithm and LabVIEW Software Design for Non-Contact Measurement of Surface Roughness[J]. Metrology Science and Technology, 2024, 68(7): 28-34. doi: 10.12338/j.issn.2096-9015.2024.0032

Citation:

CHEN Ting, WU Chunhui, LU Xin, WANG Yinghui, YE Huaichu, CHEN Ning, GUO Gangxiang. Gaussian Filtering Algorithm and LabVIEW Software Design for Non-Contact Measurement of Surface Roughness[J]. Metrology Science and Technology, 2024, 68(7): 28-34. doi: 10.12338/j.issn.2096-9015.2024.0032

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Gaussian Filtering Algorithm and LabVIEW Software Design for Non-Contact Measurement of Surface Roughness

doi: 10.12338/j.issn.2096-9015.2024.0032

CHEN Ting^{1, 2, 3
,},
WU Chunhui^{1, 2, 3},
LU Xin^{1, 2, 3},
WANG Yinghui^{1, 2, 3},
YE Huaichu^{1, 2, 3},
CHEN Ning^{1, 2, 3
,
,},
GUO Gangxiang^{1, 2, 3}

1.
Zhejiang Institute of Metrology, Hangzhou 310018, China
2.
Key Laboratory of Digital Precision Measurement Technology of Zhejiang Province, Hangzhou 310018, China
3.
National Industrial Metrology and Testing Center for Marine Oil & Gas Development Equipment, Hangzhou 310018, China

Received Date: 2024-01-31
Accepted Date: 2024-04-11
Rev Recd Date: 2024-03-14

Available Online: 2024-06-20

Publish Date: 2024-07-30

Abstract

Abstract

This study investigates the adaptability of the Gaussian filtering method in non-contact measurement of surface roughness. Using surface profile data obtained from a spectral confocal displacement sensor as an example, the Gaussian filtering algorithm is introduced to compute the filtering centerline and separate the roughness signal. A program for the Gaussian filtering algorithm is designed on the LabVIEW platform, calculating the roughness values and comparing them with the results of current contact calibration. Experimental results indicate that the Maximum Permissible Error (MPE) of the R_a value after non-contact data processing is ±5%, demonstrating that the Gaussian filtering method is suitable for data processing in non-contact measurements. The modular design of the algorithm in LabVIEW is easy to implement, integrates well with other modules, is easy to maintain, and holds significant potential for wider application.
- metrology,
- surface roughness,
- Gaussian filtering,
- non-contact measurement,
- LabVIEW

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References(31)

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