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Dynamic Modeling and Simulation Analysis of Virtual Product Design and Creation Based on OSG Artificial Intelligence Platform

Author

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  • Xiaosong Zou
  • Tao Tao
  • Gengxin Sun

Abstract

The creation of Koji Pottery art is a creative act that has risen rapidly in recent years. The difference in the proportion of ingredients in the glaze directly affects the roughness, luster, and glaze of the glazed surface of the work. The curve of heating and cooling is also the key to the success or failure of the work. Therefore, taking the Koji tea bowl shape as a research example, a virtual reality simulation system and an OSG (OpenSceneGraph) artificial intelligence platform are used to construct a Koji tea bowl shape simulation model, and then the physical production is performed according to the model. After the design and production of the Koji tea bowl shape, the RTM (resin transfer molding) model is used to evaluate the process quality standard requirements of the Koji bowl shape. According to the RTM model test results, the homogeneity test results show that the result is much larger than 0.10, from which it can be inferred that the Koji tea bowl shape has reached the national process quality standard requirements. At the same time, the OSG artificial intelligence platform uses the iterative random sampling method to extract and display the abnormal data in the simulation model, which greatly improves the success rate of ceramic creation. In this paper, the creation and simulation of virtual ceramics based on OSG artificial intelligence platform are deeply studied and analyzed, and the related processes are improved, which reduces the difficulty of software operation and improves the creation efficiency.

Suggested Citation

  • Xiaosong Zou & Tao Tao & Gengxin Sun, 2022. "Dynamic Modeling and Simulation Analysis of Virtual Product Design and Creation Based on OSG Artificial Intelligence Platform," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-11, January.
  • Handle: RePEc:hin:jnddns:6214097
    DOI: 10.1155/2022/6214097
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