Case-Based Reasoning System for the Selection of Silumin Alloying Elements

• Autorzy: Rojek G. , Regulski K. , Kluska-Nawarecka S. , Wilk-Kołodziejczyk D.

Identyfikatory

DOI

10.24425/123614

• Języki publikacji: EN

Abstrakty

EN

This work presents the project of the application of Case-based reasoning (CBR) methodology to an advisory system. This system should give an assistance by selection of proper alloying additives in order to obtain a material with predetermined mechanical properties. The considered material is silumin EN AC-46000 (hypoeutectic Al-Si alloy) that is modified by the addition of Cr, Mo, V and W elements in the range from 0% to 0.5% in the modified alloy. The projected system should indicate to the user the content of particular additives so that the obtained material is in the chosen range of parameters: tensile strength Rm, yield strength Rp0.2, elongation A and hardness HB. The CBR methodology solves new problems basing on the solutions of similar problems resolved in the past. The advantage of the CBR application is that the advisory system increases knowledge base as the subsequent use of the system. The presented design of the advisory system also considers issues related to the ergonomics of its operation.

Słowa kluczowe

EN

foundry industry; information technology; silumin; mechanical properties; modified alloys; additions Cr, Mo, V, W

PL

przemysł odlewniczy; technologia informacyjna; silumin; właściwości mechaniczne; stopy modyfikowane; dodatki Cr, Mo, V, W

• Wydawca: Komisja Odlewnictwa Polskiej Akademii Nauk Oddział w Katowicach
• Czasopismo: Archives of Foundry Engineering
• Rocznik: 2018
• Tom: Vol. 18, iss. 3
• Strony: 126--131
• Opis fizyczny: Bibliogr. 10 poz., rys., wykr.

Twórcy

autor

Rojek G.

• AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Kraków, Poland
• Foundry Research Institute, Kraków, Poland

autor

Regulski K.

• AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Kraków, Poland
• Foundry Research Institute, Kraków, Poland

autor

Kluska-Nawarecka S.

• Foundry Research Institute, Kraków, Poland

autor

Wilk-Kołodziejczyk D.

• AGH University of Science and Technology, Faculty of Metals Engineering and Industrial Computer Science, Kraków, Poland
• Foundry Research Institute, Kraków, Poland

Bibliografia

• [1] Szymczak, T., Gumienny, G. & Pacyniak, T. (2015). Effect of tungsten on the solidification process, microstructure and properties of silumin 226. Transactions of the Foundry Research Institute. 55(3), 3-14.
• [2] Szymczak, T., Gumienny, G., Kurowska, B. & Pacyniak, T. (2017). Hypoeutectic Al-Si Alloy Doped with Chromium, Tungsten and Molybdenum Designated for Pressure Die Casting. Archives of Metallurgy and Materials. 62(3), 1629-1635.
• [3] Wilk-Kołodziejczyk, D., Regulski, K., Gumienny, G. & Kacprzyk, B. (2018). Data mining tools in identifying the components of the microstructure of compacted graphite iron based on the content of alloying elements. International Journal of Advanced Manufacturing Technology. 95(9-12), 3127-3139.
• [4] Aamodt, A. & Plaza, E. (1994). Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Communications. 7(1), 39-59.
• [5] Kolodner, J. (1992). An Introduction to case-based reasoning. Artificial Intelligence Review. 6(1), 3-34.
• [6] Rojek, G. (2016). Agents retaining and reusing of experience applied to control of semi-continuous production process. In L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L. A. Zadeh & J. M. Zurada (Eds.). ICAISC. 1, 729-738. Switzerland: Springer.
• [7] Rojek, G., Regulski, K., Wilk-Kołodziejczyk, D., Kluska-Nawarecka, S., Jaśkowiec, K. & Smolarek-Grzyb, A. (2016). Methods of computational intelligence in the context of quality assurance in foundry products. Archives of Foundry Engineering. 16(2), 11-16.
• [8] Bergmann, R., Althoff, K.-D., Minor, M., Reichle, M. & Bach, K. (2009). Case-based reasoning - introduction and recent developments. Künstliche Intelligenz. 23(1), 5-11.
• [9] PN-EN 1706:2011 (2011). Aluminum and aluminum alloys. Castings. Chemical composition and mechanical properties. Warszawa: PKN. (in Polish).
• [10] Allen, B. (1994). Case-Based Reasoning: Business Applications. Communications of the ACM. 37(3), 40-42.

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).