IICAI-03: IEEE Systems Man and Cybernetics Society's 1st Indian International Conference on Artificial Intelligence

December 18-20, 2003

The conference held in Hyderabad, India was attended by Aparna Varde, Graduate Student working on the CHTE Gas Quenching project.

Paper presented:

QuenchMiner: Decision Support for Optimization of Heat Treating Processes

QuenchMiner: Decision Support for Optimization of Heat Treating Processes

Authors:

A. Varde
M. Takahashi
E. Rundensteiner
M. Ward
Md. Maniruzzaman
R.D. Sisson, Jr.

This paper describes a decision Support System (DSS) for the heat treating of materials to be built using artificial intelligence. Heat treating encompasses the controlled heating and cooling of materials to achieve desired properties. Data gathered during heat treating is a source of knowledge useful in making decisions. This knowledge discovered through data mining is used to build a DSS that helps materials scientists conduct studies to improve heat treating processes. The data is also used to draw graphs based on which material miscrostructures can be predicted. A major challenge here is accurately estimating microstructures at different points on a graph under varying conditions of interest. Another big challenge is simulating expert judgment while mining over simple and complex data types, by incorporating domain-specific facts in the mining process. Our work is one of the first to integrate knowledge discovery and data visualization into one system for supporting materials science processes.

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Last modified: Nov 02, 2005, 14:46 EST