In general, prototyping a car body requires a significant amount of time to produce actual prototypes from the design data of new parts. For example, in press molding, changes that occur in a prototype's shape when it is released from the die depend on the rigidity of the die and the processing condition, meaning multiple prototypes are required to produce the shape exactly as specified by the design data. We are therefore developing a molding technology that eliminates the need for any prototypes by using machine learning to predict the shape changes during the molding process, and by constructing a system that can adjust the molding conditions incrementally while monitoring the variance between the design data and the prototype.
Molding system for eliminating the need for prototyping