Optimization design of product dynamic characteristics based on human-computer interaction method and experimental verification

In response to the issue where traditional dynamic design processes for products rely heavily on experiments, resulting in long design cycles and high costs, this paper proposes a human-computer interaction optimization design method targeting product dynamic characteristics. This method integrates the collaborative advantages of both humans and computers, effectively utilizing their respective strengths by enabling information exchange between them, which achieves an optimization process that is both intuitive and efficient. By manually interpreting computer-generated modal animation results, structural weaknesses under vibrational loads are identified. Subsequently, an iterative optimization of the product's structure is conducted through a human-computer interaction approach. This methodology was applied to optimize a specific product, achieving a 68.2% reduction in the maximum response multiple compared to the original design. Experimental results demonstrated that the relative errors in all three directions were all less than 10%, indicating that the simulation model is accurate and applicable. The employed human-computer interaction optimization method proved to be both reasonable and effective, successfully reducing design cycles and costs. This study provides valuable references for optimizing similar products in future projects.