A capsule-based collision detection approach of irregular objects in virtual maintenance
ISSN: 0144-5154
Article publication date: 4 January 2021
Issue publication date: 19 February 2021
Abstract
Purpose
Virtual maintenance simulation is of great importance to help designers find and avoid design problems. During its simulation phase, besides the high precision requirement, collision detection must be suitable for all irregular objects in a virtual maintenance environment. Therefore, in this paper, a collision detection approach is proposed based on encapsulation for irregular objects in the virtual maintenance environment.
Design/methodology/approach
First, virtual maintenance simulation characteristics and several commonly used bounding boxes methods are analyzed, which motivates the application of encapsulation theory. Based on these, three different encapsulation methods are oriented to the needs of simulation, including encapsulation of rigid maintenance objects, flexible maintenance objects and maintenance personnel. In addition, to detecting collisions accurately, this paper divides the detection process into two stages. That is, in the first stage, a rough detection is carried out and then a tiny slice space is constructed to generate corresponding capsule groups, which will be redetected in the secondary stage. At last, several case studies are applied to illustrate the performance of the methodology.
Findings
The automatic construction algorithm for bounding boxes can be adapted to all forms of objects. The number of detection primitives are greatly reduced. It introduces the reachable space of the human body in maintainability as the collision search area.
Originality/value
The advantages of virtual maintenance simulation could also be advantageous in the industry with further studies. The paper believes this study is of particular interest to the readers of your journal.
Keywords
Acknowledgements
The authors would like to thank the Postgraduate Innovation Practice Fund of Beihang University (YCSJ-01–201909) for financially supporting this research.
Citation
Jin, Y., Geng, J., He, Z., Lv, C. and Zhao, T. (2021), "A capsule-based collision detection approach of irregular objects in virtual maintenance", Assembly Automation, Vol. 41 No. 1, pp. 89-105. https://doi.org/10.1108/AA-12-2019-0224
Publisher
:Emerald Publishing Limited
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