Abstract
This work presents the project of the application of Case-based reasoning (CBR) methodology to an advisory system. This system should
give an assistance by selection of proper alloying additives in order to obtain a material with predetermined mechanical properties. The
considered material is silumin EN AC-46000 (hypoeutectic Al-Si alloy) that is modified by the addition of Cr, Mo, V and W elements in
the range from 0% to 0.5% in the modified alloy. The projected system should indicate to the user the content of particular additives so
that the obtained material is in the chosen range of parameters: tensile strength Rm, yield strength Rp0.2, elongation A and hardness HB. The
CBR methodology solves new problems basing on the solutions of similar problems resolved in the past. The advantage of the CBR
application is that the advisory system increases knowledge base as the subsequent use of the system. The presented design of the advisory
system also considers issues related to the ergonomics of its operation.
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