Open Atlas of Defects as a Supporting Knowledge Base for Cast Iron Defects Analysis

• Autorzy: Sika R. , Rogalewicz M. , Kroma A. , Ignaszak Z.

Identyfikatory

DOI

10.24425/afe.2020.131283

• Języki publikacji: EN

Abstrakty

EN

A significant development of the foundry industry contributes to the creation of high reliability and operational strength castings so that they meet specific standards in accordance with customers’ needs. This technology, however, is inseparably connected with casting defects in finished products. Cast products are subject to various defects which are considered acceptable or not, which is conditioned by the alloy chemical composition and strength characteristics, that is, generally – qualities to be agreed between the foundry and the customer. It is the latter that led the authors to research on designing a tool enabling the most reliable possible assessment of the emerging casting defects, which after proper consultations can be repaired and the casting – sold. The paper presents an original tool named the Open Atlas of Defects (OAD), developed for the last few years to support the evaluation of cast iron defects using Non-Destructive Testing (NDT) casting defects analysis tools (DCC card – Demerit Control Chart, Pareto-Lorenz analysis and ABC analysis). The OAD tool structure was presented as an integral part of the original system module for acquisition and data mining (A&DM) in conjunction with the possibilities of using selected tools for defect analysis support on the example of cast iron casting.

Słowa kluczowe

EN

cast iron; castings defects; data acquisition; NDT; computer application

PL

żeliwo; wady odlewów; pozyskiwanie danych; NDT; aplikacja komputerowa

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2020
• Tom: Vol. 20, iss. 1
• Strony: 55--60
• Opis fizyczny: Bibliogr. 15 poz., fot., rys.

Twórcy

autor

Sika R.

• Poznan University of Technology, Division of Foundry, Poznan, Poland

autor

Rogalewicz M.

• Poznan University of Technology, Chair of Management and Production Engineering, Poznan, Poland

autor

Kroma A.

• Poznan University of Technology, Division of Foundry, Poznan, Poland

autor

Ignaszak Z.

• Poznan University of Technology, Division of Foundry, Poznan, Poland

Bibliografia

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• [3] Holtzer, M., Zych, J. (1997). The phenomena occurring at the contact phase of moulding sand - liquid cast iron in connection with the surface quality of the castings, Poland.
• [4] Łędzki, A, Zieliński, K, Klimczyk, A. Fundamentals of the production and processing technology. Part VII, AGH, Poland.
• [5] Gierdziejewski, K. (1948). Casting defects and their systematics. Poland.
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• [7] Gierdziejewski, K. (1952). Problems of casting defects systematics. Poland.
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• [9] Grzyb, M. Materials for casting moulds. Retrieved June 12, 2019, from https://www.mindmeister.com/173320866/ tworzywa-na-formy-odlewnicze/.
• [10] Falęcki, Z. (1997). Analysis of casting defects. Kraków: AGH.
• [11] Kluska-Nawarecka, S. (1999). Computer methods of casting defects diagnostic support. Foundry Research Institute, Poland.
• [12] Donohue, T. L., Frye, H. F. (1999). Characterization and Correction of Casting Defects, USA.
• [13] Investment Casting Institute. Atlas of Casting Defects. Retrieved June 15, 2019, from http://61746c6173. investmentcasting.org/casting/defects/.
• [14] Pandit, H.C. (2015). WebCADAS: A New Online Education System for Casting Defect Identification, Analysis and Optimisation of Parameters. International Journal of Latest Trends in Engineering and Technology. 246-253.
• [15] Malinowski, P., Suchy, J.S. & Pater, M. (2012). SimulationDB – technological knowledgebase – new trend of data management. Journal of Achievements in Materials and Manufacturing Engineering. 129-134.

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).