Parametric Design on Stubble-cutting Disc with Oblique Ripples Based on Reverse Engineering Methods
- DOI
- 10.2991/csece-18.2018.82How to use a DOI?
- Keywords
- computer vision; parametric design; reverse engineering; reverse solution of structural parameter; stubble-cutting disc
- Abstract
Aiming at the design and manufacture difficulty of stubble-cutting disc with oblique ripples, taking one made by America as research object, a kind of computer aided design method was proposed, which was fulfilled in the basis of the structural parameters that were obtained through reverse engineering technology. The point cloud data were obtained by using a Digital Structure Light 3D scanner and a binocular stereoscopic vision system, then the structural equation and parameters was acquired by fitting the data of feature points extracted from the point clouds through boundary detected and curvature calculation. On this basis, 3D parametric model of the stubble-cutting disc with oblique ripples was created in a computer aided design system of Solidworks, which will provide a foundation for its engineering analysis, parameter optimization and mould manufacture. At the same time, this work broadens the range of application of reversing engineering, and also will provide references for researching the application of reverse engineering in the design and manufacture of agricultural machinery.
- Copyright
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ping Zhao AU - Xuewei Bai AU - Yongkui Li AU - Yue Tian AU - Changyi Lv PY - 2018/02 DA - 2018/02 TI - Parametric Design on Stubble-cutting Disc with Oblique Ripples Based on Reverse Engineering Methods BT - Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018) PB - Atlantis Press SP - 383 EP - 388 SN - 2352-538X UR - https://doi.org/10.2991/csece-18.2018.82 DO - 10.2991/csece-18.2018.82 ID - Zhao2018/02 ER -