Research On Network Learning Platform Of Machinery Majors Based On Virtual Reality Technology

The network learning platform based on virtual reality technology is a real challenge to traditional learning method, and it is a natural outcome of the development and gradual maturity of information technology. There are many disadvantages such as heavy investment, inefficiency and difficult to maintain on teaching method and teaching model during the traditional mechanical courses. In order to fill in the gaps of traditional teaching methods, decrease the cost and learning resources, make the mechanical learning resources effective, improve the autonomous learning ability of students, increase the interest of student, this thesis will do intensive study on the virtual reality technology and develop the network learning platform of machinery majors. This kind of learning platform which works depending on computer and internet is a virtual learning environment online. It has a full integration of mechanical learning resources and has a feature of good interaction, strong immersion and convenient to build and to be used.This dissertation analyzes and contrasts the construction method of network virtual platform and working principle of X3 D virtual reality technology, determines the key technology and overall concept of building a network learning platform. Parametric modeling, simulation assembly and specific component movements trail are done with UG based on demand of X3 D virtual process. Part model is converted to a recognizable file type through setting and optimizing in CATIA to make sure the start and stop time, movements trail and rotation angle of each component in mechanical structure are configured appropriately.The author designs and redacts the X3 D source program by the specific cases of gear reducer virtual disassembly and dump track lifting motion simulation. Through analyzing the mechanism motion scheme and working principle of X3 D animation intellisense node, the author gets X3 D time conversion formula of parts movement which can figure out the key value of time sensor in X3 D directly, and it provides a theoretical foundation for setting mechanism movement with animation intellisense node. Besides, network virtual learning function modules are analyzed and machinery major resources are integrated, a web server is built to publish the network virtual learning platform.This dissertation integrates machinery major knowledge and finishes building the whole platform based on X3 D virtual reality technology which has advantages of interaction, immersion and convenient to make and use it. It improves a strong perception of user to the part model and has a feature of intuition, agility and convenience which makes learning on the network platform as if it was in reality and the dynamics interacting and perception exchanged between human and part model will be finally liberalized.