Virtual Machining for Machined Part Variation Prediction

The patent creates virtual copies of physical machining processes through computer simulations. Virtual models of machine tools, controllers, and machining processes are developed to replicate real-world behavior, allowing prediction of part variations without physical experimentation. This copying approach enables accurate variation prediction while avoiding the need for multiple physical prototypes or trial-and-error manufacturing.

The patent performs virtual machining and variation analysis before actual manufacturing takes place. By conducting computer simulations of the machining process and predicting part variations in advance, designers can optimize geometries and identify potential manufacturing issues before committing to physical production. This preliminary action prevents costly rework and ensures better manufacturing precision from the first production run.

The patent implements adaptive sampling strategies that perform virtual machining simulations on only the most critical geometric features and tolerance zones rather than entire parts. By focusing computational resources on areas that have the greatest impact on part performance and assembly fit, the system achieves effective design optimization with significantly reduced computing time compared to full-part simulations.

The patent employs efficient numerical methods and algorithms that adaptively adjust simulation parameters based on the complexity of the geometry and the desired prediction accuracy. The system dynamically modifies mesh density, iteration counts, and calculation precision to balance computational accuracy with processing time, enabling design optimization studies to be completed in practical timeframes.