Mathematical Model of the Processoof Pearlite Austenitization

Olejarczyk-Wożeńska, I.; Adrian, H.; Mrzygłód, B.

doi:10.2478/amm-2014-0165

Cited by 10 publications

(5 citation statements)

References 6 publications

(5 reference statements)

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“…The chemical composition of the master alloy is shown in Table 4. Behind the reaction chamber there was a mixing chamber (3). It allowed a proper mixing process of the master alloy and a liquid metal.…”

Section: Experimental (Materials and Methods)mentioning

confidence: 99%

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Nickel in Compacted Graphite Iron

Gumienny

Kurowska

Szymczak

et al. 2017

Archives of Metallurgy and Materials

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The paper presents results of the research work concerning effects of nickel concentration on the crystallization process, microstructure and selected properties of the compacted graphite iron. Compacted graphite in the cast iron was obtained with use of the Inmold process. The study has comprised the cast iron containing nickel up to concentration providing obtainment of austenitic microstructure of the matrix. The effect of the nickel on temperature of the eutectic crystallization was specified. It has been presented composition of the cast iron matrix in function of nickel concentration in a casting with wall thickness of 3 mm and 24 mm. Moreover, it has been presented conditions defining the possibility of obtaining an austenitic and martensitic compacted graphite iron. Effect of the nickel on hardness of the cast iron was described.

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Section: Experimental (Materials and Methods)mentioning

confidence: 99%

“…The potential of the cast iron still seems to be not fully exploited. It is demonstrated by the number and the exceedingly wide range of studies concerning different types of the cast iron [2][3][4][5][6][7][8]. A special position among all kinds of the cast iron occupies a compacted graphite iron (CGI).…”

Section: Introductionmentioning

confidence: 99%

Nickel in Compacted Graphite Iron

Gumienny

Kurowska

Szymczak

et al. 2017

Archives of Metallurgy and Materials

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“…Casting technology still represents a large scale of uncertainty [23], mainly as regards the processes involved in the melt preparation [24,25]. Scientific approaches often refer to methods of reasoning and artificial intelligence [26,27].…”

Section: Combined Techniquesmentioning

confidence: 99%

Approximation of Ausferrite Content in the Compacted Graphite Iron with the Use of Combined Techniques of Data Mining

Regulski

Wilk-Kołodziejczyk

Kacprzyk

et al. 2017

Archives of Foundry Engineering

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This article presents the methodology for exploratory analysis of data from microstructural studies of compacted graphite iron to gain knowledge about the factors favouring the formation of ausferrite. The studies led to the development of rules to evaluate the content of ausferrite based on the chemical composition. Data mining methods have been used to generate regression models such as boosted trees, random forest, and piecewise regression models. The development of a stepwise regression modelling process on the iteratively limited sets enabled, on the one hand, the improvement of forecasting precision and, on the other, acquisition of deeper knowledge about the ausferrite formation. Repeated examination of the significance of the effect of various factors in different regression models has allowed identification of the most important variables influencing the ausferrite content in different ranges of the parameters variability.

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“…30 % saturated with carbon to a level above 1.8 %. The optimum fracture toughness is obtained for an isothermal annealing in the range of 300-320°C [31].…”

Section: Adimentioning

confidence: 99%

Comparative analysis of the properties of the nodular cast iron with carbides and the austempered ductile iron with use of the machine learning and the support vector machine

Wilk-Kołodziejczyk

Regulski

Gumienny

2016

Int J Adv Manuf Technol

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The use of modern casting materials allows the achievement of higher product quality indices. The conducted experimental studies of new materials allow obtaining alloys with high performance properties while maintaining low production costs. Studies have shown that in certain areas of applications, the expensive to manufacture austempered ductile iron (ADI) can be replaced with ausferritic ductile iron or bainitic nodular cast iron with carbides, obtained without the heat treatment of castings. The dissemination of experimental results is possible through the use of information technologies and building applications that automatically compare the properties of materials, as the machine learning tools in comparative analysis of the properties of materials, in particular ADI and nodular cast iron with carbides.

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Mathematical Model of the Processoof Pearlite Austenitization

Cited by 10 publications

References 6 publications

Nickel in Compacted Graphite Iron

Nickel in Compacted Graphite Iron

Approximation of Ausferrite Content in the Compacted Graphite Iron with the Use of Combined Techniques of Data Mining

Comparative analysis of the properties of the nodular cast iron with carbides and the austempered ductile iron with use of the machine learning and the support vector machine

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