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

• Autorzy: Kluska-Nawarecka S. , Górny Z. , Wilk-Kołodziejczyk D. , Smolarek-Grzyb A.
• Języki publikacji: EN

Abstrakty

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.

Słowa kluczowe

EN

mechanical properties; casting defects; cracks; knowledge representation; logic of plausible reasoning

PL

właściwości mechaniczne; wady odlewnicze; pęknięcia; reprezentacja wiedzy

• Wydawca: International OCSCO World Press
• Czasopismo: Archives of Materials Science and Engineering
• Rocznik: 2007
• Tom: Vol. 28, nr 8
• Strony: 479--482
• Opis fizyczny: Bibliogr. 19 poz., il., wykr.

Twórcy

autor

Kluska-Nawarecka S.

autor

Górny Z.

autor

Wilk-Kołodziejczyk D.

autor

Smolarek-Grzyb A.

• Foundry Research Institute, ul. Zakopiańska 73, 30-418 Kraków, Poland,

Bibliografia

• [1] Polish Standard, PN-85/H-83105, Castings-Classification and terminology of defects, 1986.
• [2] G. Heron, C. Mascar, G. Blanc, Atlas of Casting Defects, Editions Techniques des Industries de la Fonderie, Paris, 1986 (in France).
• [3] T. Elbel, F. Havliček, P. Jelinek, P. Leviček, J. Rous, K. Stransky, Review of Casting Defects, MATECS, Brno, 1992 (in Czech).
• [4] J. Baler, M. Köppen, Casting defects, defect connected with moulding sand and the prevention, IKO-Erbslöh, Maral, 1994 (in Polish).
• [5] S. Hasse, Guβ-und Gefügefehler, Erkenung, Casting and structural defects, recognition and avoidance of casting and structured defects in the production of casting components, Schiele und Schőn, ISBN: 3-7949-698-5, Berlin, 2003 (in German).
• [6] A. Collins, R. S. Michalski, The logic of plausible reasoning: A core theory, Cognitive Scienc 13 (1989) 1-49.
• [7] A. Collins, Fragments of a theory of human plausible reasoning, Association for Computational Linguistics, University of Illinois, 1978, 194-201.
• [8] R. S. Michalski, A theory and methodology of inductive learning, Chapter in the book, Machine Learning: An Artificial Intelligence Approach, TIOGA Publishing Co., Palo Alto, 1983, 83-134.
• [9] D. Bohem-Davis, K. Dontas, R. S. Michalski, A validation and exploration of the Collins-Michalski Theory of Plausible Reasoning, Reports of the Machine Learning and Inference Laboratory, George Mason University, 1990.
• [10] S. Kluska-Nawarecka, D. Wilk-Kołodziejczyk, Integration of heterogeneous knowledge components using logic of plausible reasoning, Proceedings of the Conference „Intelligent Information Systems”, Poznań University of Technology, Poznań, 2005, 52-61.
• [11] B. Mrzygłód, D. Wilk-Kołodziejczyk, A. Adrian, J. Durak, Application of the logic of plausible reasoning to diagnostic of faults in metal products, KomPlasTech 2005, Akapit Press, Ustroń, 2005, 11-18 (in Polish).
• [12] S. Kluska-Nawarecka, J. Tybulczuk, M. Kisiel-Dorohinicki, H. Połcik, E. Nawarecki, Distributed information system for foundry industry with application of multi-agent technology, Archives of Foundry 6 (2006) 45-52 (in Polish).
• [13] B. Mrzygłód, S. Kluska-Nawarecka, Collecting and formalization of knowledge about surface faults of metal products, Archives of Foundry 5 (2006) 175-182 (in Polish).
• [14] B. Kalandyk, J. Głownia, Slag-gas defects on industrial casting of carbon and alloys cast steels, Archives of Foundry 6 (2006) 254-259 (in Polish).
• [15] L. Sozański, Possibilities of an an assessment of surface discontinuities of casting, Archives of Foundry 6 (2006).
• [16] L. A. Dobrzański, M. Krupiński, J. H. Sokołowski, Application of artificial intelligence methods for classification of defects of Al-Si analyse casting, Archives of Foundry 6 (2006) 129-132.
• [17] J. Talor, P. Jarosz, J. Kusal, J. Staszak, Artificial intelligence based modelling of the direct copper flash smelting process, Research in Polish metallurgy at the beginning of XXI century, Committee of Metallurgy of the Polish Academy of Sciences, Akapit Press, Kraków, 2006, 81-101.
• [18] EP. Busso, NP O'Dowd, K. Nikbin, Mechanistic Studies of High-Temperature Crack Initiation in Single Crystal Materials, Journal of ASTM International (JAI) ISSN (2006) 1546-962X.
• [19] J. Yamabe, M. Kobayashi, Influence of casting surfaces on fatigue strength of ductile cast iron, Fatigue & Fracture of Engineering Materials and Structures 29 (2006) 403-415.