The fixed-effects analysis of the relation between SDAS and carbides for the airfoil blade traces

• Autorzy: Pietraszek J. , Szczotok A. , Radek N.

Identyfikatory

DOI

10.1515/amm-2017-0035

• Języki publikacji: EN

Abstrakty

EN

The primary objective was to test a usefulness of the specific fixed-effect model for the analysis of quantitative relationships gathered from the image analysis of the material microstructures. The dataset was obtained from the investigation of turbine blades made from superalloy IN713C. The analysis based on the general linear model resulted in informative plots revealing mutual relationships between secondary dendrite arm spacing and the mean plane section area of carbides in the material. Directions for further research also were obtained.

Słowa kluczowe

EN

microstructure; SDAS; IN713C; superalloy

• Wydawca: Institute of Metallurgy and Materials Science of Polish Academy of Sciences ; Committee of Materials Engineering and Metallurgy of Polish Academy of Sciences
• Czasopismo: Archives of Metallurgy and Materials
• Rocznik: 2017
• Tom: Vol. 62, iss. 1
• Strony: 235--239
• Opis fizyczny: Bibliogr. 22 poz., rys., tab.

Twórcy

autor

Pietraszek J.

• Cracow University of Technology, Faculty of Mechanical Engineering, Department of Software Engineering and Applied Statistics, Al. Jana Pawla II 37, 31-864 Krakow, Poland

autor

Szczotok A.

• Silesian University of Technology, Faculty of Materials Engineering and Metallurgy, Institute of Materials Science, 8 Krasinskiego Str., 40-019 Katowice, Poland

autor

Radek N.

• Technical University of Kielce, Centre for Laser Technologies of Metals, Al. 1000-Lecia Panstwa Polskiego 7, 25-314 Kielce, Poland

Bibliografia

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Uwagi

EN

Financial support from the Structural Funds in the Operational Programme – Innovative Economy (IE OP) financed from the European Regional Development Fund – Project No POIG.0101.02-00-015/08 is gratefully acknowledged.

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).