A method for expanding sampling area boundary based on on-machine measurement

Wenhao Xing; Aimin Wang; Jiayu Zhang; Baode Xu; Yuan Yu

doi:10.1117/12.3026779

27 March 2024 A method for expanding sampling area boundary based on on-machine measurement

Wenhao Xing, Aimin Wang, Jiayu Zhang, Baode Xu, Yuan Yu

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 1310525 (2024) https://doi.org/10.1117/12.3026779
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

The technology of adaptive deformation compensation for thin-walled parts, based on on-machine measurement (OMM), has found widespread application in various industries. However, due to the size of the ruby probe, a certain amount of space must be reserved along the workpiece boundary when using the probe to sample the surface of thin-walled parts. This precaution is taken to prevent any collisions or overtravel incidents involving the probe. Consequently, this reservation results in an inability to gather information from the boundary area of thin-walled parts. After undergoing multi-layer milling compensation processing, stepped processing transition areas can develop. In light of the theory of NURBS (Non-Uniform Rational B-Spline) surface reconstruction, this article introduces an algorithm that extends a distance along the tangent direction at the beginning and end of the sampling curve to expand the boundary. A sampling surface was constructed and expanded, and the maximum error γ between the two surfaces was calculated to be 0.27×10^-3mm. The results showed that it met the accuracy requirements. The verification results confirm that this method can indeed be practically applied in the field of adaptive deformation compensation technology for thin-walled parts.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wenhao Xing, Aimin Wang, Jiayu Zhang, Baode Xu, and Yuan Yu "A method for expanding sampling area boundary based on on-machine measurement", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 1310525 (27 March 2024); https://doi.org/10.1117/12.3026779

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KEYWORDS

Deformation

Reconstruction algorithms

Nonuniform sampling

Ruby

Algorithms

Industry

Reflection

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