· IngenierÃa ·
R.S. Ransing and M. R. Ransing
Civil and Computational Engineering, School of Engineering, Swansea University, UK.
67th World Foundry Congress
Analysis of cause and effect relationships for diagnosis has always been a
favorite application for the artificial intelligence community. The first paper
on expert systems for casting defect analysis has appeared in mid
eighties. However, over the last decade, the research has slowed down
with very few new publications emerging in this area.
However, the problem is very relevant even today. With globalization and
experts retiring from their jobs, the industry is already facing skills
shortage. The future casting industry needs to move away from the
traditional approach for defect analysis.
This paper will look back twenty years and review the technological
advancement. It will also identify why the technology failed to meet
foundry-man’s expectations.
We have also revealed the patented self-learning knowledge base
technology of X1Recall and discussed how it has managed to overcome
the limitations of existing expert systems, neural networks or statistical
techniques for defect reduction problems. A case study has also been
presented.
