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

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
• 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.
• Contract Date: Nov 1, 2017