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https://hdl.handle.net/10356/170537
Title: | An overview of developable surfaces in geometric modeling | Authors: | Zhang, Yuzhe Zheng, Jianmin |
Keywords: | Engineering::Computer science and engineering | Issue Date: | 2022 | Source: | Zhang, Y. & Zheng, J. (2022). An overview of developable surfaces in geometric modeling. Recent Patents On Engineering, 16(5), e120521193305-. https://dx.doi.org/10.2174/1872212115666210512021156 | Project: | 2017-T2-1-076 | Journal: | Recent Patents on Engineering | Abstract: | Background: A developable surface is a special ruled surface with vanishing Gaussian curvature. The study of developable surfaces is of interest in both academia and industry. The application of developable surfaces ranges from ship hulls, architecture to origami, clothes, etc., as they are suitable for the modeling of surfaces with materials that are not amenable to stretch like leather, paper, fiber, and sheet metal. Objective: We survey techniques and patents of developable surfaces in the field of geometric mod-eling. The theory, algorithms, and applications are discussed to provide a comprehensive summary for modeling developable surfaces. Methods: Prior methods that model smooth and discrete developable surfaces in diverse disciplines are collected and reviewed. In particular, our review focuses on c2, c2 and c2 developable surfaces, which are driven by the problems and challenges in the industry. Results: Many papers and patents of developable surface modeling are classified in this review pa-per. It is found that remarkable developments and improvements have been achieved in both analyt-ical computations and practical applications. Conclusion: Global piecewise-developable surfaces, exploration of shape space of developable sur-faces, joint optimization of geometry and physics, and other fundamental problems should be further studied. | URI: | https://hdl.handle.net/10356/170537 | ISSN: | 1872-2121 | DOI: | 10.2174/1872212115666210512021156 | Schools: | School of Computer Science and Engineering | Rights: | © 2022 Bentham Science Publishers. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | SCSE Journal Articles |
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