Research on surface quality measurement technology for small surface structure

Zhaoqi Zeng; Xiaohua Zang; Jie Zang; Haoliang Gou; Bing Zhang; Yanming Wei; Xuesen Zhao

doi:10.1117/12.2504798

30 January 2019 Research on surface quality measurement technology for small surface structure

Zhaoqi Zeng, Xiaohua Zang, Jie Zang, Haoliang Gou, Bing Zhang, Yanming Wei, Xuesen Zhao

Proceedings Volume 10841, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Meta-Surface-Wave and Planar Optics; 1084116 (2019) https://doi.org/10.1117/12.2504798
Event: Ninth International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT2018), 2018, Chengdu, China

Abstract

Surface roughness is a key factor to evaluate the machining quality of parts and affect the sealing performance of products, especially for aerospace propulsion valve products with high sealing performance requirements. In this paper, a multi region sampling stitching method and multiple sampling mean methods are proposed to evaluate the surface roughness of small surface structures. And the uncertainty of micro size measurement is systematically analyzed. And three measuring methods on different structural sealing parts are compared and analyzed. The test results show that the roughness measurement method proposed in this paper is accurate and effective. The relative error of this measurement is less than 1%. It meets the high sealing surface quality requirements of aerospace products. This measurement method has important guiding significance and engineering application value for aerospace propulsion products with high sealing requirements.

Citation Download Citation

Zhaoqi Zeng, Xiaohua Zang, Jie Zang, Haoliang Gou, Bing Zhang, Yanming Wei, and Xuesen Zhao "Research on surface quality measurement technology for small surface structure", Proc. SPIE 10841, 9th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Meta-Surface-Wave and Planar Optics, 1084116 (30 January 2019); https://doi.org/10.1117/12.2504798

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KEYWORDS

Surface roughness

MATLAB

Atomic force microscopy

Aerospace engineering

3D metrology

3D image processing

Image processing

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