The use of thermal analysis to predict the dendritic coherency point on nodular cast iron melts

Anjos, Vítor; Deike, Rüdiger; Ribeiro, Carlos Silva

doi:10.1016/j.ctmat.2017.05.003

Cited by 8 publications

(14 citation statements)

References 2 publications

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“…If the grain is smaller, there are more dendrites in the solidification process, so their tips could touch one to another quicker, increasing the T DCP value, but without statistical relevance. The obtained results could also be correlated with the previous studies so that they show that an alloy refined with Ti has higher solidification temperatures than the unrefined alloys [15,22]. Pb is usually precipitated in the grain boundary as isolated points and has a very restricted solid dissolution in the aluminum matrix.…”

Section: Discussionsupporting

confidence: 84%

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The Determination of Dendrite Coherency Point Characteristics Using Three New Methods for Aluminum Alloys

Vicario

Viteri

Montero³

et al. 2018

Applied Sciences

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The aim of this work is to give an overview of existing methods and to introduce three new methods for the determination of the Dendrite Coherency Point (DCP) for AlSi10Mg alloys, as well as to compare the acquired values of DCP based on a thermal analysis and on the analysis of cooling curves working with only one thermocouple. Additionally, the impact of alloying and contaminant elements on the DCP will be also studied. The first two proposed methods employ the higher order derivatives of the cooling curves. The DCP was determined as the crossing point of the second and third derivative curves plotted versus time (method 1) or that of the temperature (method 2) with the zero line just after the maximum liquidus temperature. The third proposed method is based on the determination of the crossing point of the third solid fraction derivative curve with the zero line, corresponding to a minimum of the second derivative. A Taguchi design for the experiments was developed to study the DCP values in the AlSi10Mg alloy. The DCP temperature values of the test alloys were compared with the DCP temperatures predicted by the previous methods and the influence of the major and minor alloying elements and contaminants over the DCP. The new processes obtained a correlation factor r2 from 0.954 and 0.979 and a standard deviation from 1.84 to 2.6 °C. The obtained correlation values are higher or similar than those obtained using previous methods with an easier way to define the DCP, allowing for a better automation of the accuracy of DCP determination. The use of derivative curves plotted versus temperature employed in the last two proposed methods, where the test samples did not have an influence over the registration curves, is proposed to have a better accuracy than those of the previously described methods.

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Section: Discussionsupporting

confidence: 84%

“…The solid fraction at the DCP can be determined by using different experimental and/or arithmetic methods [8]. Among them, the Newtonian and Fourier [20][21][22] methods are mostly applied in the case when the cooling curve data are known.…”

mentioning

confidence: 99%

The Determination of Dendrite Coherency Point Characteristics Using Three New Methods for Aluminum Alloys

Vicario

Viteri

Montero³

et al. 2018

Applied Sciences

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“…He is the author of over 447 scientific and technical publications. [10] nucleation potential (degree of inoculation) and basic elements of the solidification microstructure such as dendrite arm spacing, grain size, graphite morphology, and room-temperature microstructure.…”

Section: *Doru Michael Stefanescumentioning

confidence: 99%

“…More recently, Anjos et al [10] developed a dualcup TA system where in one chamber the hot junction of the thermocouple was placed at the center, and in the other chamber the hot junction was close to the wall of the cup, as presented in Fig. 2.…”

Section: Principles Of Thermal Analysismentioning

confidence: 99%

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90 years of thermal analysis as a control tool in the melting of cast iron

2020

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Since its first literature mention in conjunction with cast iron in 1931 by Esser and Lautenbusch, thermal analysis (TA) has journeyed a long way. Today it is an accepted and widely used tool for process control for all types of cast irons. This paper reviews the latest progress in the development of equipment and analysis methods that make TA successful in applications such as the estimation of chemical composition, graphitization potential, and the shape and number of graphite aggregates. The potential and limitations of the prediction of shrinkage defects propensity are analyzed in some details. Examples of attempts at prediction of mechanical properties and shrinkage propensity are also discussed. Several graphs showing the data scattering are presented to convey the reader a better sense of the accuracy of various predictions.

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Thermal Analysis of the Solidification Behavior of AA7075 Containing Nanoparticles

Sokoluk

Rosa

Pan

et al. 2021

The Minerals, Metals &Amp; Materials Series

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The use of thermal analysis to predict the dendritic coherency point on nodular cast iron melts

Cited by 8 publications

References 2 publications

The Determination of Dendrite Coherency Point Characteristics Using Three New Methods for Aluminum Alloys

The Determination of Dendrite Coherency Point Characteristics Using Three New Methods for Aluminum Alloys

90 years of thermal analysis as a control tool in the melting of cast iron

Thermal Analysis of the Solidification Behavior of AA7075 Containing Nanoparticles

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