Applications of Artificial Intelligence Techniques in Metal Casting -A Review

Abstract

Process control and monitoring of product quality during metal casting operation(s) cannot be over emphasised. In addition, algorithms, models and optimisation techniques can be developed in metal casting processes to minimise casting defects through artificial intelligence. This review paper explores the applications of artificial intelligence (AI) in metal casting process. The evolution, fundamentals concepts of the AI methods/tools covering Fuzzy Logic (FL), Case Based Reasoning (CBR) and Artificial Neural Networks (ANN) are discussed accordingly. Furthermore, applications of these methods/tools in aspects of casting process optimisation, product quality monitoring/control of defects, intelligent design and materials selection are critically reviewed. The structure of this article provides clear understanding of the concept to foundry engineers, researchers and stakeholders in metal casting industry for enhancing net-shape casting with high reliability and integrity.