Research of Agricultural Machinery Modeling Method Based on Virtual Reality

Autor: Fei Wang, En Rong Mao, Rui Juan Chi, Zhong Xiang Zhu
Rok vydání: 2014
Předmět:
Zdroj: Applied Mechanics and Materials. :684-689
ISSN: 1662-7482
DOI: 10.4028/www.scientific.net/amm.541-542.684
Popis: In order to make the virtual experiment results close to or equivalent to the real movement patterns, the agricultural machinery virtual test based on virtual reality requires realistic scene model and it also needs more accurate agricultural machinery dynamic model.As for the rice and wheat combine harvester of hydraulic steering, firstly, model transformation technology is used to convert Pro/E harvester model into three-dimensional geometric model that can be identified by Vega Prime virtual reality systems. Secondly, classical dynamics equation is used to construct the mathematical models of the rice and wheat combine harvester. Finally, mathematical models are combined with geometric models by VC++ programming, and then the physical behavioral model of combine harvester which has the physics properties is created.It can effectively strengthens the authenticity of agricultural machinery virtual test, and provides an important platform to start agricultural machinery virtual characteristics test. The modeling method can provide an important agricultural machinery dynamic model for the further virtual test based on virtual reality.
Databáze: OpenAIRE