Research on the role of biomechanical compatibility in the design of ceramic arts and crafts for tourism products
Abstract
Ceramic art holds a significant position in China’s traditional arts and crafts, with its materials demonstrating unique value across multiple fields. As the tourism industry continues to develop, there is an increasing demand for innovative, practical, and artistic tourism product designs. Modern designers study the biomechanical properties of ceramic materials, such as their stress response, processing characteristics, and usability, and combine them with their unique surface gloss and durability to transform them into visually appealing and functional products. This study introduces an enhanced Convolutional Neural Network (CNN) model for ceramic craft image recognition and structural optimization design. The research focuses on: 1) the enhancement of mechanical properties of ceramics combined with bioactive substances; and 2) the simulation of force distribution during ceramic manufacturing and the impact of craftsmen’s hand-applied forces on shaping results. A parametric approach was employed to extract graphic elements from ceramic sketches, and simulation analysis was used to optimize material structural stability and stress distribution during use. Experiments show that the improved CNN model achieves over 95% accuracy in recognizing the visual features of ceramic products, effectively capturing product edge contours and identifying microscopic surface stress distribution. Furthermore, experiments on bio-ceramic materials confirmed their higher toughness and adaptability, with significant improvements in biomechanical performance, such as bending strength and contact force distribution. This study not only reveals the core role of biomechanical principles in the manufacturing and design of ceramic crafts but also provides an innovative framework for optimizing the artistic expression and mechanical performance of tourism products.
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