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Illumination modelling for reconstructing the machined surface topography

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Abstract

Illumination estimation is crucial for surface detection methods based on visual image reconstruction. The luminance of the machined surface topography with desertification fractal structure is difficult to accurately describe using existing illumination models, which depend on the macrosurface geometric features and reflection characteristics. Therefore, machined surface topography illumination model under coaxial light microscopic vision is proposed in this paper for the online detection of complex surfaces and special functional surface topography in the manufacturing field. Based on light scattering theory, the luminance of the surface topography is studied under the coaxial light microscopic vision; the influencing factors of luminance of surface topography are revealed and the illumination model of machined surface topography is established. The experimental results show that less calculation error occurs when using the proposed illumination model, which can be used to more accurately describe the luminance of machined surface topography. The research results will lay a foundation for online detection and monitoring of machined surfaces.

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Funding

Financial support for this work was received from the Natural Science Foundation Research Project of Shaanxi Province (2021JQ-488) and the Doctor’s Research Foundation of Xi’an University of Technology (Grant Number 102–451120014).

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Authors and Affiliations

  1. School of Mechanical and Instrument Engineering, Xi’an University of Technology, 5 South Jinhua Road, Xi’an, 710048, Shaanxi, China

    WeiChao Shi, JianMing Zheng, Qiang Sheng, Qilong Wang, Lijie Wang & Qi Li

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  1. WeiChao Shi
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  2. JianMing Zheng
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  3. Qiang Sheng
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  4. Qilong Wang
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  5. Lijie Wang
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  6. Qi Li
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Contributions

All the authors contributed to the study conception and design, to the search in the literature and to the reading of the relevant retrieved papers. WeiChao Shi proposed the method and conducted the numerical simulation. He also drafted the manuscript. JianMing Zheng and Qiang Sheng discussed the prediction model and revised the manuscript. Qilong Wang, Lijie Wang and Qi Li conducted the experiment and processed the data.

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Correspondence to WeiChao Shi.

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Shi, W., Zheng, J., Sheng, Q. et al. Illumination modelling for reconstructing the machined surface topography. Int J Adv Manuf Technol 125, 4975–4987 (2023). https://doi.org/10.1007/s00170-023-10925-0

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  • DOI: https://doi.org/10.1007/s00170-023-10925-0

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