Application of Case-Based Reasoning in Die-Casting Die Design

This paper presents a study on die-casting die design based

on case-based reasoning (CBR). Being different from a tra-

ditional die casting CAD system, this system stores the knowl-

edge and experience as cases, and modifies a previous case

to satisfy a new situation. By saving the new solution in the

case library after the latest problem has been solved, the

system is able to perform self-learning from the experience

accumulated. The work includes:

1. Developing a case-based reasoning environment for die-

casting die design, so that the system can self-learn from

the previous consultation itself and become more efficient.

2. Developing an effective case representation and adaptation

methodology      for        reusing   previous   design    resources

efficiently.

This paper focuses mainly on the design of die-casting dies.

However, the proposed framework is generally adaptable for

other processes (such as fixture design and injection mould

design) by customising specific process features and encoding

process design rules.