Research and Application of K-DOPS Algorithm in Virtual Maintenance Training System for Diesel Engine

Jian Zhao Zhou; Xiao Pan Xu; Zi Cheng Zhu; Wei Jun Chu; Ting Xu; Ju Ying Dai; Si Wei Lai

doi:10.4028/www.scientific.net/AMR.805-806.1911

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 805-806Research and Application of K-DOPS Algorithm in...

Research and Application of K-DOPS Algorithm in Virtual Maintenance Training System for Diesel Engine

Abstract:

Collision detection can effectively improve the authenticity, credibility and immersion of the virtual simulation environment. So this article mainly analyzed several classic collision detection algorithms, and put forward to use K-DOPS method in virtual maintenance system. Through EON simulation platform, the execution results of the algorithm were tested. The results show that the use of K-DOPS algorithm in collision detection can real-timely avoid collision and penetration between the part models in virtual maintenance training system for diesel engine, brilliantly enhancing the authenticity and immersion of the simulation environment.

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Periodical:

Advanced Materials Research (Volumes 805-806)

Pages:

1911-1916

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.805-806.1911

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Online since:

September 2013

Authors:

Jian Zhao Zhou*, Xiao Pan Xu, Zi Cheng Zhu, Wei Jun Chu, Ting Xu, Ju Ying Dai, Si Wei Lai

Keywords:

Collision Detection, EON Studio, K-DOPS Algorithm, Virtual Maintenance

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* - Corresponding Author

References

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