Castings Quality Management Casting Defects Expert Systems Computer Diagnostics Cognitive Model Modelling Simulation Computing Methodologies
Issue Date:
2008
Publisher:
Institute of Information Theories and Applications FOI ITHEA
Abstract:
Every year production volume of castings grows, especially grows production volume of non-ferrous
metals, thanks to aluminium. As a result, requirements to castings quality also increase. Foundry men from all
over the world put all their efforts to manage the problem of casting defects. In this article the authors present an
approach based on the use of cognitive models that help to visualize inner cause-and-effect relations leading to
casting defects in the foundry process. The cognitive models mentioned comprise a diverse network of factors
and their relations, which together thoroughly describe all the details of the foundry process and their influence on
the appearance of castings’ defects and other aspects.. Moreover, the article contains an example of a simple die
casting model and results of simulation. Implementation of the proposed method will help foundry men reveal the
mechanism and the main reasons of casting defects formation.