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T-spline based unifying registration procedure for free-form surface workpieces in intelligent CMM

Han, Zhenhua; Wang, Yingmo; Ma, Xinhui; Liu, Shugui; Zhang, Xiaodong; Zhang, Guoxiong

Authors

Zhenhua Han

Yingmo Wang

Shugui Liu

Xiaodong Zhang

Guoxiong Zhang



Abstract

With the development of the modern manufacturing industry, the free-form surface is widely used in various fields, and the automatic detection of a free-form surface is an important function of future intelligent three-coordinate measuring machines (CMMs). To improve the intelligence of CMMs, a new visual system is designed based on the characteristics of CMMs. A unified model of the free-form surface is proposed based on T-splines. A discretization method of the T-spline surface formula model is proposed. Under this discretization, the position and orientation of the workpiece would be recognized by point cloud registration. A high accuracy evaluation method is proposed between the measured point cloud and the T-spline surface formula. The experimental results demonstrate that the proposed method has the potential to realize the automatic detection of different free-form surfaces and improve the intelligence of CMMs.

Citation

Han, Z., Wang, Y., Ma, X., Liu, S., Zhang, X., & Zhang, G. (2017). T-spline based unifying registration procedure for free-form surface workpieces in intelligent CMM. Applied Sciences, 7(10), 1092 . https://doi.org/10.3390/app7101092

Journal Article Type Article
Acceptance Date Oct 17, 2017
Online Publication Date Oct 23, 2017
Publication Date Oct 23, 2017
Deposit Date Nov 1, 2017
Publicly Available Date Nov 1, 2017
Journal Applied Sciences
Print ISSN 2076-3417
Electronic ISSN 2076-3417
Publisher MDPI
Peer Reviewed Peer Reviewed
Volume 7
Issue 10
Pages 1092
DOI https://doi.org/10.3390/app7101092
Keywords Intelligent CMM, T-spline, Unified model, Discrete, High accuracy evaluation
Public URL https://hull-repository.worktribe.com/output/456215
Publisher URL http://www.mdpi.com/2076-3417/7/10/1092
Additional Information This is a copy of an open access article published in Applied sciences, 2017, v.7 issue 10.

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Copyright Statement
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).





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