The study presents the results of the investigations of the effect of Cu, Ni, Cr, V, Mo and W alloy additions on the microstructure and

mechanical properties of the AlSi7Mg0.3 alloy. The examinations were performed within a project the aim of which is to elaborate an

experimental and industrial technology of producing elements of machines and devices complex in their construction, made of aluminium

alloys by the method of precision investment casting. It was demonstrated that a proper combination of alloy additions causes the

crystallization of complex intermetallic phases in the silumin, shortens the SDAS and improves the strength properties: Rm, Rp0.2,HB

hardness. Elevating these properties reduces At, which, in consequence, lowers the quality index Q of the alloy of the obtained casts.

Experimental casts were made in ceramic moulds preliminarily heated to 160 °C, into which the AlSi7Mg0.3 alloy with the additions was

cast, followed by its cooling at ambient temperature. With the purpose of increasing the value of the quality index Q, it is recommended

that the process of alloy cooling in the ceramic mould be intensified and/or a thermal treatment of the casts be performed (ageing)(T6).

The aim of this study is to design and implement a computer system, which will allow the semantic cataloging and data retrieval in the

field of cast iron processing. The intention is to let the system architecture allow for consideration of data on various processing techniques

based on the information available or searched by a potential user. This is achieved by separating the system code from the knowledge of

the processing operations or from the chemical composition of the material being processed. This is made possible by the creation and

subsequent use of formal knowledge representation in the form of ontology. So, any use of the system is associated with the use of

ontologies, either as an aid for the cataloging of new data, or as an indication of restrictions imposed on the data which draw user attention.

The use of formal knowledge representation also allows consideration of semantic meaning, a consequence of which may be, for example,

returning all elements in subclasses of the searched process class or material grade.