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Research Articles

Robust and efficient tool path generation for machining low-quality triangular mesh surfaces

Pages 7457-7467 | Received 21 Apr 2020, Accepted 20 Oct 2020, Published online: 07 Nov 2020
 

Abstract

This paper presents a new method to generate iso-scallop tool paths for triangular mesh surfaces. With the popularity of 3D scanning techniques, scanning-derived mesh surfaces have seen a significant increase in their application to machining. Quite often, such mesh surfaces exhibit defects such as noises, which differentiate them from the good-quality mesh surfaces previous research work focuses on. To generate tool paths for such low-quality mesh surfaces, the primary challenge lies in robustness against the defects. In this work, a robust tool path generation method is proposed for low-quality mesh surfaces. In addition to robustness, the method is quite efficient, providing the benefit of faster iterations and improved integration between scanning and machining. The fundamental principle of the method is to convert the tool path generation problem to the heat diffusion problem that has robust and efficient algorithms available. The effectiveness of the method will be demonstrated by a series of case studies and comparisons.

Acknowledgments

This work has been funded by a UBC PhD Fellowship and a grant from the National Key Basic Research Project of China.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Notes

1 Matrices can be used to define a metric tensor as long as they are symmetric positive definite, and this is the case for Ts.

Additional information

Funding

This work has been funded by a PhD Fellowship from University of British Columbia and a grant from the National Basic Research Program of China (973 Program).

Notes on contributors

Qiang Zou

Qiang Zou is currently an assistant professor of Computer Science at Zhejiang University, China. He got his Ph.D. from University of British Columbia, Canada, in 2019. His research interests lie in design modeling and manufacturing simulation

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