Fiber Orientation Prediction in Injection Molding

The system performs CAE simulation before actual injection molding to predict fiber orientation distribution and mechanical properties. This preliminary action allows optimization of molding conditions and fiber parameters before production, avoiding trial-and-error molding and ensuring consistent mechanical properties from the first production run.

The system uses iterative feedback between simulation results and actual molding parameters. The CAE simulation predicts fiber orientation and mechanical properties, which are then compared with target specifications, and molding conditions are adjusted accordingly to achieve desired product quality and consistency.

The CAE simulation performs preliminary prediction of fiber orientation and mechanical properties before actual molding. This allows all necessary optimizations to be done in the virtual stage, eliminating the need for multiple trial molding operations and significantly reducing production time while ensuring product quality consistency.

The system creates a virtual copy of the molding process through CAE simulation. This digital twin allows prediction and optimization of fiber orientation distribution and mechanical properties without physical trial molding, thereby maintaining product quality while eliminating time-consuming trial operations.

The system extracts and uses only the essential factors for fiber orientation prediction that have the greatest impact on mechanical properties. By focusing on the most critical parameters rather than modeling all possible interactions, the system achieves accurate predictions with reduced computational complexity and faster processing time.

The system optimizes the parameters of the fiber orientation model to achieve the best balance between prediction accuracy and computational efficiency. By carefully selecting and tuning model parameters, the system maintains high prediction accuracy while minimizing computational complexity and processing time.