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author:

Zhang, Qiukun (Zhang, Qiukun.) [1] (Scholars:张秋坤) | Wang, Wenxuan (Wang, Wenxuan.) [2] | Zhong, Jialu (Zhong, Jialu.) [3] | Lin, Jiewen (Lin, Jiewen.) [4] | Chen, Jinguo (Chen, Jinguo.) [5] | Luo, Manting (Luo, Manting.) [6] | Yu, Yingjie (Yu, Yingjie.) [7]

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Abstract:

To accurately measure the surface roughness of precision parts, this paper proposes a non-destructive measurement method of surface roughness using frequency-domain interferometry as the core detection principle and the Hanning window energy center method as the signal demodulation method. The corresponding relationship between the height changes of the sample surface profile and the frequency density changes in the interference signal was established, and the Hanning window energy center method was used to accurately extract the periodic frequency, which can more accurately measure the surface roughness of the sample. After the spectrum correction method, the peak signal-to-noise ratio of the system reaches 50∼60 dB. When the signal-to-noise ratio is 54.8, the theoretical measurement accuracy of the system reaches 5 nm. The vibration error generated during the actual measurement process is only 20 nm. The measurement results of the roughness measuring instrument were compared and analyzed. The experimental results showed that this system has higher measurement accuracy and accuracy, and the maximum repeatability error is 7 nm. To further verify the accuracy of the system, an atomic force microscope was used for comparison and verification. The difference between the two measurement results was 12 nm. This work provides a faster and more accurate non-destructive measurement method for surface roughness measurement. © 2024 Elsevier Ltd

Keyword:

Frequency domain analysis Interferometry Roughness measurement Signal to noise ratio Surface roughness

Community:

  • [ 1 ] [Zhang, Qiukun]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Wang, Wenxuan]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 3 ] [Wang, Wenxuan]School of Mechanical, Electrical and Information Engineering, Putian University, Putian; 351100, China
  • [ 4 ] [Zhong, Jialu]School of Engineering, Hangzhou Normal University, Hangzhou; 310036, China
  • [ 5 ] [Lin, Jiewen]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 6 ] [Chen, Jinguo]Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing, School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 7 ] [Chen, Jinguo]School of Mechanical, Electrical and Information Engineering, Putian University, Putian; 351100, China
  • [ 8 ] [Luo, Manting]School of Mechanical, Electrical and Information Engineering, Putian University, Putian; 351100, China
  • [ 9 ] [Yu, Yingjie]School of Mechatronic Engineering and Automation, Shanghai University, Shanghai; 200072, China

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Source :

Optics and Lasers in Engineering

ISSN: 0143-8166

Year: 2024

Volume: 178

3 . 5 0 0

JCR@2023

Cited Count:

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SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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