An Improved B-Spline Fitting Method with Arc-Length Parameterization, G2-continuous Blending, and Quality Refinement

2019 ◽  
Vol 20 (11) ◽  
pp. 1939-1955 ◽  
Author(s):  
Kang Min ◽  
Yanyan Sun ◽  
Chen-Han Lee ◽  
Pengcheng Hu ◽  
Shanshan He
2020 ◽  
Vol 107 (5-6) ◽  
pp. 2041-2054 ◽  
Author(s):  
Kang Min ◽  
Chen-Han Lee ◽  
Changya Yan ◽  
Wei Fan ◽  
Pengcheng Hu

2015 ◽  
Vol 2 (4) ◽  
pp. 218-232 ◽  
Author(s):  
Shanshan He ◽  
Daojiang Ou ◽  
Changya Yan ◽  
Chen-Han Lee

Abstract Piecewise linear (G01-based) tool paths generated by CAM systems lack G1 and G2 continuity. The discontinuity causes vibration and unnecessary hesitation during machining. To ensure efficient high-speed machining, a method to improve the continuity of the tool paths is required, such as B-spline fitting that approximates G01 paths with B-spline curves. Conventional B-spline fitting approaches cannot be directly used for tool path B-spline fitting, because they have shortages such as numerical instability, lack of chord error constraint, and lack of assurance of a usable result. Progressive and Iterative Approximation for Least Squares (LSPIA) is an efficient method for data fitting that solves the numerical instability problem. However, it does not consider chord errors and needs more work to ensure ironclad results for commercial applications. In this paper, we use LSPIA method incorporating Energy term (ELSPIA) to avoid the numerical instability, and lower chord errors by using stretching energy term. We implement several algorithm improvements, including (1) an improved technique for initial control point determination over Dominant Point Method, (2) an algorithm that updates foot point parameters as needed, (3) analysis of the degrees of freedom of control points to insert new control points only when needed, (4) chord error refinement using a similar ELSPIA method with the above enhancements. The proposed approach can generate a shape-preserving B-spline curve. Experiments with data analysis and machining tests are presented for verification of quality and efficiency. Comparisons with other known solutions are included to evaluate the worthiness of the proposed solution. Highlights The presented B-spline tool path fitting method is chord-error conforming. It is numerically stable and hence industrial-strength. The proposed ELSPIA algorithm incorporates stretching energy into LSPIA algorithm. Includes actual machining experiments to validate the worthiness.


2010 ◽  
Vol 26 (6-8) ◽  
pp. 801-811 ◽  
Author(s):  
Mingxiao Hu ◽  
Jieqing Feng ◽  
Jianmin Zheng

2013 ◽  
Vol 446-447 ◽  
pp. 909-914
Author(s):  
Chun Hui Niu ◽  
Yong Lv

Chromatic confocal technique application in displacement measurement is studied theoretically and experimentally. a set of refractive lenses are designed and a measurement system is established. Correlation fitting method is proposed to fit spectrum curve and find peak wavelength. Results with use of correlation fitting method are compared with Gaussian and smoothing spline fitting methods. It indicate that correlation fitting method have higher extracting accuracy of peak wavelength and smaller RMSE of linear fitting due to narrower and smoother correlation curve.


1997 ◽  
Vol 30 (5) ◽  
pp. 719-728 ◽  
Author(s):  
Kung-Hao Liang ◽  
Tardi Tjahjadi ◽  
Yee-Hong Yang

Sign in / Sign up

Export Citation Format

Share Document