Intelligent Mould Design Through Knowledge-Based Recommendation System

The efficiency and quality of a complex aluminium extrusion mould design can be largely improved based on reusing the relevant design knowledge recommended based on design context. This kind of design knowledge is embedded in engineering designers’ brain, supporting design tasks like requirement analysis, embodiment design, simulation result evaluation, which is significant in achieving intelligent design. However, it is a kind of tacit knowledge that is difficult to capture and reuse, in a way of intelligent recommendation. To fill this gap, this paper proposed a method on capturing this kind of tacit design knowledge for efficient reuse. Firstly, a knowledge representation model is built in terms of the requirement, function, behaviour, structure, and design evolution of the extrusion mould design, guiding the capture and representation of design knowledge. Then, the design context for the design knowledge is studied and constructed for the effective reuse of design knowledge. Finally, a recommendation system based on design context is designed and developed for the implementation of design reuse. The evaluation results on this method have shown its feasibility and effectiveness on design knowledge representation and reuse.