P‐120: Design for Enhancing the Mechanical Performance of NB Using a Hybrid ANN‐PSO Approach

In the trend of ultra‐thin and lightweight design for notebook computer (NB), to enhance the structural strength of NB products, a cross‐scale systematic finite element simulation model has been established for whole‐machine mechanical testing (static pressure testing and ball drop testing). Validated through testing, this model is capable of accurately assessing risks such as light leakage and fragmentation during the tests. Furthermore, based on the Design of Experiments (DOE) data from finite element simulations, this paper particularly focuses on the development of a Hybrid Artificial Neural Network ‐ Particle Swarm Optimization (ANN‐PSO) Approach AI model for predicting NB mechanical testing risks. This AI model can accurately and rapidly analyze design schemes, guiding NB product design to improve product strength and ensure product reliability.