Title

Methodology for Diagnosing the Causes of Die-Casting Defects, Based on Advanced Big Data Modelling

Journal title

Archives of Foundry Engineering

Yearbook

2021

Volume

vo. 21

Issue

No 4

Authors

Okuniewska, A. ; Perzyk, M.A. ; Kozłowski, J.

Affiliation

Okuniewska, A. : Institute of Manufacturing Technologies, Warsaw University of Technology, Narbutta 85, 02-524 Warsaw, Poland ; Perzyk, M.A. : Institute of Manufacturing Technologies, Warsaw University of Technology, Narbutta 85, 02-524 Warsaw, Poland ; Kozłowski, J. : Institute of Manufacturing Technologies, Warsaw University of Technology, Narbutta 85, 02-524 Warsaw, Poland

Keywords

fault diagnosis ; die casting ; process control ; Data analytics ; Application of information technology to the foundry industry

Divisions of PAS

Nauki Techniczne

Coverage

103-109

Publisher

The Katowice Branch of the Polish Academy of Sciences

Bibliography

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[4] Falęcki, Z. (1997). Analysis of casting defects. Kraków: AGH Publishers.
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[7] Perzyk, M., Dybowski, B. & Kozłowski, J. (2019). Introducing advanced data analytics in perspective of industry 4.0. in die casting foundry. Archives of Foundry Engineering. 19(1), 53-57.
[8] Perzyk, M., Kozłowski, J. & Wisłocki, M., (2013). Advanced methods of foundry processes control. Archives of Metallurgy and Materials. 58(3), 899-902. DOI: 10.2478/amm-2013-0096
[9] Makhlouf, M.M., Apelian, D. & Wang, L. (1998). Microstructures and properties of aluminum die casting alloys. North American Die Casting. https://doi.org/10.2172/751030
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[14] Adamane, A.R., Arnberg, L., Fiorese, E., Timelli, G., Bonollo, F. (2015). Influence of injection parameters on the porosity and tensile properties of high-pressure die cast Al-Si alloys: A Review. International Journal of Meterials. 9(1), 43-53.
[15] Gramegna, N. & Bonollo, F. (2016). HPDC foundry competitiveness based on smart Control and Cognitive system in Al-alloy products. La Metallurgia Italiana. 6, 21-24.
[16] Łuszczak, M. & Dańko, R. (2013). State the issues in the casting of large structural castings in aluminium alloys. Archives of Foundry Engineering. 13(3), 113-116. ISSN (1897-3310).
[17] Davis, J.R. (1990). ASM handbook. ASM, Metals Park, OH. 123-151, 166-16.
[18] Perzyk, M., Biernacki, R. & Kozłowski, J. (2008). Data mining in manufacturing: significance analysis of process parameters. Journal of Engineering Manufacture. 222(11), 1503-1516. DOI: 10.1243/09544054JEM1182.
[19] Koronacki, J., Mielniczuk J. Statistics for students of technical and natural sciences. WNT (209-210, 458). (in Polish).
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[21] Lawrence, S., Giles, C.L., Tsoi, A.C. (1996). What size neural network gives optimal generalization? Convergence Properties of Backpropagation. Technical Report UMIACS-TR-96-22 and CS-TR-3617. Institute for Advanced Computer Studies, University of Maryland. College Park, MD 20742.
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Date

2021.12.23

Type

Article

Identifier

DOI: 10.24425/afe.2021.138687