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1 Journal of Achievements in Materials and Manufacturing Engineering

1 2009

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A Case Based Reasoning aluminium thermal analysis platform for the prediction of W319 Al cast component characteristics

Pelayo G., Sokolowski J. H., Lashkari R.

Journal of Achievements in Materials and Manufacturing Engineering

2009

Vol. 36, nr 1

7-17

Purpose: This paper presents the research on the development of the Aluminum Thermal Analysis Technology Platform (AlTAP) utilizing a Case Based Reasoning (CBR) Caspian shell for interpretation of industrial cooling curves and predicting alloy and cast component characteristics. Design/methodology/approach: CBR being a branch of Artificial Intelligence (AI) that solves problems based on understanding and adaptation of previous experiences is suitable for interpretation of the AlTAP results since this is a knowledge intensive activity which requires a fair amount of experience. Findings: The integrated AlTAP and CBR system was found to be useful for the prediction of melt thermal characteristics, cast component mechanical and structural properties. Practical implications: Industrial trials confirmed the technical capabilities of the AlTAP/CBR Platform for the on-line quality control and prediction of 319 melt characteristics and the aluminum engine block’s (Cosworth casting process) engineering specifications. Originality/value: An automated AlTAP Platform integrated with a CBR system is a new Quality Control concept in the area of the aluminum automotive casting.