Mr. Sijia Liu Profile

Sijia Liu

at Fudan Univ

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Proceedings Article | 12 March 2021 Paper

Measurement and characterization of ultra-thin gaps in cylindrical assembling parts

Guangxi Dong, Lingbao Kong, Sijia Liu

Proceedings Volume 11763, 117633I (2021) https://doi.org/10.1117/12.2586573

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Ultra-thin gaps between two metallic workpieces in assembling parts need to be measured and characterized, for determining the assembling accuracy and further ensuring the final performance of the parts. Methods such as fringe projection or optical profilers encounter the difficulties in distinguishing such micro features in several tens of micrometers. In this paper, a microscopic imaging system combining image processing algorithms is designed and developed to measure the thickness of such air gaps. Simulation studies are undertaken to validate the feasibility of the proposed method. A measuring system is then designed and developed, based on which a series of measurement experiments is carried out to verify the measuring accuracy and precision. Finally, a cylindrical assembling parts with thin gaps are measured and characterized. The proposed measuring method is useful to determine the shape of air gap and the local contact situation for assembling parts.

Proceedings Article | 20 December 2019 Paper

Measurement and characterization of feature parameters for assembly parts based on blue structured light

Sijia Liu, Guangxi Dong, Lingbao Kong, Lizhe Qi

Proceedings Volume 11209, 112091B (2019) https://doi.org/10.1117/12.2543889

KEYWORDS: Structured light, 3D metrology, Reflectivity, Clouds, Metals, 3D modeling, Optical testing, Light, Projection systems, Computer aided design

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The structured light fields can be spoiled by the noisy environmental light. The defects will occur in reconstructive process due to the enormous change of surface reflectivity, which may ruin the results of the measurement. Thus, a structured light measuring system was proposed in this paper, taking the advantages of blue structured light, to reduce the disturbance of noise. A set of geometric feature parameters are proposed for characterizing the assembling errors of assembly parts, and the corresponding computation algorithms are presented based on the measured scattered points data. The proposed method can effectively reduce the influence of reflective deficiency. Experimental studies have been undertaken by measuring an assembly parts made by aluminum alloy, the measured results are also compared with those by a robotic coordinate measuring machine from Hexagon. The results show that the proposed measurement method and the developed system provides an efficient non-contact way for analyzing the feature parameters for assembly parts with high reflective surface in a high precision.

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