Abstract
In order to develop the new alloy with which it is satisfied of the customer demanded alloy characteristic, it is necessary to determine processing conditions (casting, forging, the cooling method, etc.) with the type and quantity of an additive element. In an alloy design, the knowledge concerning the influence an additive element and processing conditions have on the alloy characteristic is indispensable. However, at an actual development, it is hard to say that those experience and experimental data are fully utilizable. This research tries the proposal of the system which supports the knowledge acquisition concerning an alloy development paying attention to data mining of experimental data.
