The recommendation system knowledge representation and reasoning procedures under uncertainty for metal casting

The paper presents an information system dedicated to requirements recommendation and knowledge sharing. It presents methodology of constructing domain knowledge base and application procedure on the example of production technology of Austempered Ductile Iron (ADI). For knowledge representation and reasoning Logic of Plausible Reasoning (LPR) is used. Both equally applicable LPR for formalization the knowledge of foundry technology, as well as the described system solution have the unique character

Exploration of WEB resources in the domain of metal processing technologies

The amount of information contained in the WEB grows in a galloping way, which is caused by the spread of Internet access and lowering the cost of storing and sharing data across the network. The vast amount of data, impossible to be analyzed by human, is the reason why finding and selecting valuable information has become a serious problem. Due to this situation, a highly useful and desired solution would be the development of a system that would allow continuous monitoring of the WEB and finding for the user valuable information from the selected Internet resources. This paper describes the concept of such a system, along with its initial implementation and application to search for information in the field of foundry industry

OPTIMIZATION OF SIMULATION MODEL PARAMETERS FOR SOLIDIFICATION OF METALS WITH USE OF AGENT-BASED EVOLUTIONARY ALGORITHM

The finite elements method (FEM) is currently widely used for simulation of thermal processes.However, one of still unresolved problems remains proper selection of mathematicalmodel parameters for these processes. As far as modelling of cooling casts in forms is concerned,particular difficulties appear while estimating values of numerous coefficients suchas: heat transport coefficient between metal and form, specific heat, metal and form heatconduction coefficient, metal and form density. Coefficients mentioned above depend not onlyon materials properties but also on temperature. In the paper the idea of optimalizationof simulation method parameters based on adaptive adjustment of curve representing simulationresult and result obtained in physical experiment is presented along with the ideaof evolutionary and agent-based evolutionary optimization system designed to conduct suchoptimizations. Preliminary results obtained with use of ABAQUS system available in ACKCYFRONET and software developed at AGH-UST conclude the paper

Mathematical formalisms to represent knowledge concerning the production process of austempered ductile iron

The aim of this study is to develop computer tools for calculation of the Fe - Fe3C phase equilibrium diagram. The phase equilibrium diagram is of fundamental importance in materials science and heat treatment processes of ferrous alloys. It enables prediction of carbon steel microstructure in the annealed condition, and facilitates selection of proper temperature for the heat treatment process. Choosing the right values of the heat treatment process parameters is essential in the production of Austempered Ductile Iron (ADI)

Supporting the Manufacturing Process of Metal Products with the Methods of Artificial Intelligence

The aim of this research programme was to develop a series of methods and solutions to support the decision-making process in foundry and materials engineering. The specific problems discussed included the selection of methods for data processing and knowledge representation formalisms, backed up by the creation of decision algorithms based on contemporary achievements of artificial intelligence, tailored to the needs of foundry industry and metallurgy. The manufacturing process of metal items is associated with many aspects, which affect the quality of end product. For process engineers responsible for the supervising and planning of production, an important feature is, among others, the diversified nature of numerous aspects of the knowledge acquisition and integration from distributed sources of information which, when made available in an appropriate manner, can support the improvement of manufacturing process

The Decision Support System in the Domain of Casting Defects Diagnosis

This article presents a computer system for the identification of casting defects using the methodology of Case-Based Reasoning. The system is a decision support tool in the diagnosis of defects in castings and is designed for small and medium-sized plants, where it is not possible to take advantage of multi-criteria data. Without access to complete process data, the diagnosis of casting defects requires the use of methods which process the information based on the experience and observations of a technologist responsible for the inspection of ready castings. The problem, known and studied for a long time, was decided to be solved with a computer system using a CBR (Case-Based Reasoning) methodology. The CBR methodology not only allows using expert knowledge accumulated in the implementation phase, but also provides the system with an opportunity to "learn" by collecting new cases solved earlier by this system. The authors present a solution to the system of inference based on the accumulated cases, in which the main principle of operation is searching for similarities between the cases observed and cases stored in the knowledge base

The Decision Support System in the Domain of Casting Defects Diagnosis

This article presents a computer system for the identification of casting defects using the methodology of Case-Based Reasoning. The system is a decision support tool in the diagnosis of defects in castings and is designed for small and medium-sized plants, where it is not possible to take advantage of multi-criteria data. Without access to complete process data, the diagnosis of casting defects requires the use of methods which process the information based on the experience and observations of a technologist responsible for the inspection of ready castings. The problem, known and studied for a long time, was decided to be solved with a computer system using a CBR (Case-Based Reasoning) methodology. The CBR methodology not only allows using expert knowledge accumulated in the implementation phase, but also provides the system with an opportunity to "learn" by collecting new cases solved earlier by this system. The authors present a solution to the system of inference based on the accumulated cases, in which the main principle of operation is searching for similarities between the cases observed and cases stored in the knowledge base

Methods of Computational Intelligence in the Context of Quality Assurance in Foundry Products

One way to ensure the required technical characteristics of castings is the strict control of production parameters affecting the quality of the finished products. If the production process is improperly configured, the resulting defects in castings lead to huge losses. Therefore, from the point of view of economics, it is advisable to use the methods of computational intelligence in the field of quality assurance and adjustment of parameters of future production. At the same time, the development of knowledge in the field of metallurgy, aimed to raise the technical level and efficiency of the manufacture of foundry products, should be followed by the development of information systems to support production processes in order to improve their effectiveness and compliance with the increasingly more stringent requirements of ergonomics, occupational safety, environmental protection and quality. This article is a presentation of artificial intelligence methods used in practical applications related to quality assurance. The problem of control of the production process involves the use of tools such as the induction of decision trees, fuzzy logic, rough set theory, artificial neural networks or case-based reasoning

Supporting the Bronze CastingThrough Information Structuring Based on Ontology application

A significant part of the knowledge used in the production processes is represented with natural language. Yet, the use of that knowledge in computer-assisted decision-making requires the application of appropriate formal and development tools. An interesting possibility is created by the use of an ontology that is understandable both for humans and for the computer. This paper presents a proposal for structuring the information about the foundry processes, based on the definition of ontology adapted to the physical structure of the ongoing technological operations that make up the process of producing castings

Heurystyczne modele procesu cieplnego ulepszania właściwości stopów metali kolorowych

The object of the conducted experimental studies was determination of the physical properties of the BA1044 alloy subjected to several types of toughening and modification under varying conditions. The aim of the experiments was to determine which of the above mentioned technological processes has greater impact on the value of the alloy parameters and how these treatments should be chosen to get the metal with the desired properties on a limited number of experiments.Przedmiotem prowadzonych badan eksperymentalnych było określenie właściwości fizycznych stopu BA1044 poddanego kilku rodzajom ulepszania cieplnego oraz przy różnych warunkach modyfikacji. Celem eksperymentu było określenie, które ze wspomnianych zabiegów technologicznych posiadają największy wpływ na wartości badanych parametrów metalu oraz w jaki sposób należy dobierać te działania aby uzyskać metal o pożądanych właściwościach przy ograniczonej liczbie eksperymentów