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  • Author: D. Wilk-Kołodziejczyk x
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D. Wilk-Kołodziejczyk

Abstract

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.

Open access

D. Wilk-Kołodziejczyk, S. Kluska-Nawarecka, G. Rojek and K. Regulski

Abstract

The main scope of the article is the development of a computer system, which should give advices at problem of cooper alloys manufacturing. This problem relates with choosing of an appropriate type of bronze (e.g. the BA 1044 bronze) with possible modification (e.g. calcium carbide modifications: Ca + C or CaC2) and possible heat treatment operations (quenching, tempering) in order to obtain desired mechanical properties of manufactured material described by tensile strength - Rm, yield strength - Rp0.2 and elongation - A5. By construction of the computer system being the goal of presented here work Case-based Reasoning is proposed to be used. Case-based Reasoning is the methodology within Artificial Intelligence techniques, which enables solving new problems basing on experiences that are solutions obtained in the past. Case-based Reasoning also enables incremental learning, because every new experience is retained each time in order to be available for future processes of problem solving. Proposed by the developed system solution can be used by a technologist as a rough solution for cooper alloys manufacturing problem, which requires further tests in order to confirm it correctness.

Open access

G. Rojek, K. Regulski, D. Wilk-Kołodziejczyk, S. Kluska-Nawarecka and T. Wawrzaszek

Abstract

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.

Open access

Z. Górny, D. Wilk-Kołodziejczyk and A. Smolarek-Grzyb

Abstract

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.

Open access

S. Kluska-Nawarecka, D. Wilk-Kołodziejczyk, G. Rojek, K. Regulski and G. Polek

Abstract

The problem of materials selection in terms of their mechanical properties during the design of new products is a key issue of design. The complexity of this process is mainly due to a multitude of variants in the previously produced materials and the possibility of their further processing improving the properties. In everyday practice, the problem is solved basing on expert or designer knowledge. The paper is the proposition of a solution using computer-aided analysis of material experimental data, which may be acquired from external data sources. In both cases, taking into account the rapid growth of data, additional tools become increasingly important, mainly those which offer support for adding, viewing, and simple comparison of different experiments. In this paper, the use of formal knowledge representation in the form of an ontology is proposed as a bridge between physical repositories of data in the form of files and user queries, which are usually formulated in natural language. The number and the sophisticated internal structure of attributes or parameters that could be the criteria of the search for the user are an important issue in the traditional data search tools. Ontology, as a formal representation of knowledge, enables taking into account the known relationships between concepts in the field of cast iron, materials used and processing techniques. This allows the user to receive support by searching the results of experiments that relate to a specific material or processing treatment. Automatic presentation of the results which relate to similar materials or similar processing treatments is also possible, which should make the conducted analysis of the selection of materials or processing treatments more comprehensive by including a wider range of possible solutions.

Open access

D. Wilk-Kołodziejczyk, S. Kluska-Nawarecka, G. Rojek and K. Regulski

Abstract

This article presents a practical solution in the form of implementation of agent-based platform for the management of contracts in a network of foundries. The described implementation is a continuation of earlier scientific work in the field of design and theoretical system specification for cooperating companies [1]. The implementation addresses key design assumptions - the system is implemented using multi-agent technology, which offers the possibility of decentralisation and distributed processing of specified contracts and tenders. The implemented system enables the joint management of orders for a network of small and medium-sized metallurgical plants, while providing them with greater competitiveness and the ability to carry out large procurements. The article presents the functional aspects of the system - the user interface and the principle of operation of individual agents that represent businesses seeking potential suppliers or recipients of services and products. Additionally, the system is equipped with a bi-directional agent translating standards based on ontologies, which aims to automate the decision-making process during tender specifications as a response to the request.

Open access

Z. Górny, S. Kluska-Nawarecka and D. Wilk-Kołodziejczyk

Abstract

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.

Open access

Z. Górny, S. Kluska-Nawarecka, D. Wilk-Kołodziejczyk and K. Regulski

Abstract

Decisions regarding appropriate methods for the heat treatment of bronzes affect the final properties obtained in these materials. This study gives an example of the construction of a knowledge base with application of the rough set theory. Using relevant inference mechanisms, knowledge stored in the rule-based database allows the selection of appropriate heat treatment parameters to achieve the required properties of bronze. The paper presents the methodology and the results of exploratory research. It also discloses the methodology used in the creation of a knowledge base.

Open access

K. Regulski, D. Wilk-Kołodziejczyk, B. Kacprzyk, G. Gumienny, G. Rojek and B. Mrzygłód

Abstract

This article presents the methodology for exploratory analysis of data from microstructural studies of compacted graphite iron to gain knowledge about the factors favouring the formation of ausferrite. The studies led to the development of rules to evaluate the content of ausferrite based on the chemical composition. Data mining methods have been used to generate regression models such as boosted trees, random forest, and piecewise regression models. The development of a stepwise regression modelling process on the iteratively limited sets enabled, on the one hand, the improvement of forecasting precision and, on the other, acquisition of deeper knowledge about the ausferrite formation. Repeated examination of the significance of the effect of various factors in different regression models has allowed identification of the most important variables influencing the ausferrite content in different ranges of the parameters variability.

Open access

D. Wilk-Kołodziejczyk, G. Rojek and K. Regulski

Abstract

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.