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EN
This study is related with one of the components of a hybrid decision support system called CAPCAST, implemented under a research project conducted by WIMIIP AGH. It is a model of knowledge representation about materials in the form of a relational database, designed to allow the transformation of its records into components of a rule-based knowledge base.
EN
Knowledge Management System is not only the database of production processes data; above all it is an integration of intellectual capital of all departments of the enterprise. Harmonious cooperation of technological knowledge, quality management, finances management or public relations and other parts of organization results in synergy which is the source of competitive superiority. This is the proper purpose of knowledge management. Higher requirements of managements standards and quality and necessity of provide an economic predominance are the most important goals for knowledge management in nowadays economy. Metallurgy industry is not exempted from a requirement of development in this direction. In order to benefit form organizational possessions like intellectual capital, as well as grant in this range of expectation of clients, it is necessary to think about functional, but also modern computerized information system, like Knowledge Management System. This article shows assumptions to the intellectual capital filling system at the foundry with specifications of functional requirements. Reasons for launching the intellectual capital filling system and knowledge management system and profits of those are presented. Initial results of work on "Node of Knowledge" project are presented. This project can be applied to inventory the intellectual capital and to locate knowledge resources in the foundry. The article shows directions of development of the system: use of ontology for knowledge formalization; use of web services for interoperability amongst components of computer system.
PL
Celem autorów jest zaprezentować możliwość wykorzystania logiki deskrypcyjnej (opisowej) w tworzeniu „map wiedzy” będących odpowiednio sformalizowanym pod względem semantycznym i syntaktycznym sposobem modelowania wybranych fragmentów wiedzy. Takie mapy wiedzy umożliwiają semantyczny opis zasobów zrozumiały maszynowo. Przykładowym zastosowaniem logiki opisowej będzie w tym wypadku proces tworzenia baz wiedzy dotyczącej wytwarzania elementów maszyn.
EN
Authors present the possibility of using description logic in creating "maps of knowledge” which are formalized models of selected fragments of knowledge in terms of semantics and syntactic. Such maps provide a semantic machine-understandable description of knowledge resources. An example application of description logic is the process of knowledge bases development for the production of machine parts.
EN
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.
EN
The aim of this work was to propose a methodology supporting the task of collecting the comparative data on studies of the mechanical properties of ADI. Collecting of research data is an important step in the process of finding the optimum design solutions for newly made products - experimental data allow us properly calibrate the manufacturing process of ADI to let the final product achieve the required properties. Parameters of the ADI production process, i.e. the time and temperature of austenitising and austempering, as well as the alloying elements added to ductile iron affect the ADI properties. The design process can use research data collected, among others, from the Web. As stated in the article, the process of data acquisition can be supported by semantic technologies, including ontologies which are descriptive logic formalism.
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