Wyniki wyszukiwania - Biblioteka Nauki

1

Acquisition of technology knowledge from online information sources

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Kluska-Nawarecka S. , Wilk-Kołodziejczyk D. , Dziaduś-Rudnicka J. , Smolarek-Grzyb A.

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2011

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tom Vol. 11, iss. 3

107-112

EN

The article discusses problems related with the search of information from open sources, particularly on the Internet. Specific area of concern is searching for technical knowledge in the area of metalcasting. The results of ongoing experiments were given, to serve as a basis in identification of the opportunities to improve the process of searching through determination of own research plans.

2

Knowledge representation of casting metal defects by means of ontology

100%

Kluska-Nawarecka S. , Smolarek-Grzyb A. , Wilk-Kołodziejczyk D. , Adrian A.

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2007

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tom Vol. 7, iss. 3

75-78

EN

The scattered nature of information requires implementation of appropriate tools and system solutions. The conception of decentralized diagnostic system of casting metal defects, in which the methods of concept classification in the form of ontology are used, has been presented in the article. Also, the general rules of ontology creation, model division into modules, the hierarchy of classes and their instances have been introduced. There has been provided an example of ontology construction for casting defects.

3

Application of evolutionary algorithms to optimize the model parameters of casting cooling process

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Kluska-Nawarecka S. , Górny Z. , Smolarek-Grzyb A.

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tom Vol. 10, iss. 4

89--92

EN

One of the most commonly used methods of numerical simulation is the finite element method (FEM). Its popularity is reflected in the number of tools supporting the preparation of simulation models. However, despite its usefulness, FEM is often very troublesome in use; the problem is the selection of the finite element mesh or shape function. In addition, MES assumes a complete knowledge of the simulated process and of the parameters describing the investigated phenomena, including model geometry, boundary conditions, physical parameters, and mathematical model describing these phenomena. A comparison of the data obtained from physical experiments and simulations indicates an inaccuracy, which may result from the incorrectly chosen shape of element or geometry of the grid. The application of computational intelligence methods, combined with knowledge of the manufacturing technology of metal products, should allow an efficient selection of parameters of the mathematical models and, as a consequence, more precise control of the process of the casting solidification and cooling to ensure the required quality. The designed system has been integrated with the existing simulation environment, which will significantly facilitate the preparation and implementation of calculations of this type. Moreover, the use of a distributed model will significantly reduce the time complexity of calculations, requiring multiple repetition of complex simulations to estimate the quality of the different sets of parameters.

4

Diagnostics of crack formation in castings using the logic of plausible reasoning

100%

Kluska-Nawarecka S. , Górny Z. , Wilk-Kołodziejczyk D. , Smolarek-Grzyb A.

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2007

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tom Vol. 28, nr 8

479-482

EN

Purpose: Cold cracks are the defect often encountered in castings. Quick diagnosis of the cause of crack formation enables preventing the formation of other cracks in the next casting process and enables also, as far as it is possible, a repair of the existing defect. In this task expert systems are a very useful tool. Design/methodology/approach: Standard of Casting Defects elaborated in Poland, Atlas of Casting Defects elaborated in France, and a Review of Casting Defects elaborated in the Czech Republic. These sources are the knowledge compendium of casting defects. Basing on such information, serving as a defect description, the cause of the defect formation and the way of preventing it have been created as formalisms which enable an inference to be carried out, the aim of which is to establish the cause of the defect. Findings: The use of LPR (the Logic of Plausible Reasoning) in the representation of knowledge about casting defects introduces a new quality, allowing to take into consideration the specific characteristics of this knowledge such as: uncertainty, definitions hierarchy, the possibility of introducing the diagnostics ranking. In consequence, the diagnostic process becomes more flexible and may be better adjusted to the real technological process conditions. Practical implications: The efficiency of an expert system diagnosis depends on the data entered previously and on the way in which the knowledge is represented. Originality/value: In this article various representations of the knowledge have been presented by means of the logic of plausible reasoning.