Optimization of experimental design for an inverse estimation of the metal-mold heat transfer coefficient in the solidification of Sn–10% Pb

Ranjbar, A.A.; Ezzati, M.; Famouri, M.

doi:10.1016/j.jmatprotec.2009.05.019

Cited by 12 publications

(6 citation statements)

References 18 publications

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“…The heat transfer coefficients at the alloy/chill and alloy/sand interfaces were selected as close values, but were not an exact duplication of the experiment, and were also used as constants in the simulation. They could be more precisely deduced by the inverse algorithm and were expressed as a function of solidification time [34]. The mold-filling process, as mentioned above, was not simulated.…”

Section: Comparison Of Simulation With Experimentsmentioning

confidence: 99%

Three-Dimensional Modeling of Segregation Behavior during Solidification of a Sn-6 wt.% Pb Alloy

Guan

Zhao

et al. 2022

Materials

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In this study, a three-dimensional (3D) solidification model was developed that uses a SOLA algorithm to solve momentum equations and accelerate iterative convergence. The macrosegregation behavior of a sand-cast Sn-6 wt.% Pb alloy was numerically investigated by the developed 3D model. The experiment was carried out for a casting with one side in contact with a graphite chill and the other sides in contact with resin sand. The necessary precision of in-house-developed codes was validated by comparisons with experimentally measured cooling curves and lead concentration distribution. The limitations of the model in fitting experimental results well were discussed. A comparative study between simulations in two-dimensional (2D) and 3D cavities showed that although the general distribution pattern of macrosegregation was slightly affected, the details regarding segregation degree, solute composition distribution over the solidifying domain, solidification time and fluid flow pattern were different. For 2D simulations without boundary walls, the convection behavior was less complicated, and the cooling process was slowed down both in the casting and in the mold.

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Section: Comparison Of Simulation With Experimentsmentioning

confidence: 99%

Three-Dimensional Modeling of Segregation Behavior during Solidification of a Sn-6 wt.% Pb Alloy

Guan

Zhao

et al. 2022

Materials

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“…A escolha dos níveis das variáveis foi baseada nos seguintes dados: a) Taxa de Resfriamento: autores [8,12] mostraram que o aumento da taxa de resfriamento, proporciona, também, um aumento em propriedades como a dureza, o grau de cristalização das fases, e uma diminuição no tamanho dos grãos, com formatos tendencialmente facetados e dendríticos.…”

Section: Liga Al Cuunclassified

Influência das variáveis de solidificação na microestrutura e microdureza de ligas Al-Cu utilizando planejamento fatorial complete

Silva

Castro

2022

Matéria (Rio J.)

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RESUMO Neste trabalho utilizou-se uma liga hipereutética Al-40wt%Cu para verificar a influência das variáveis de entrada taxa de resfriamento (°C/min) e superaquecimento (°C), na variável de saída microdureza (HV). As amostras foram vazadas em cadinhos de cerâmica e de cobre e um termopar acoplado à um sistema de aquisição de dados mediu as taxas de resfriamento que foram 20°C/min e 24°C/min, respectivamente. Avaliou-se a influência dessas taxas de resfriamento e do superaquecimento de 100°C e 200°C acima da temperatura de fusão da liga na microdureza. As medições de dureza Vickers foram realizadas na seção transversal da amostra com área de 0,8 cm2. As amostras foram caracterizadas microscopicamente para avaliar a formação microestrutural. O potencial das variáveis envolvidas no estudo foi avaliado por um planejamento fatorial completo 22. Os resultados do planejamento fatorial indicaram que as amostras solidificadas usando o superaquecimento de 200°C acima da temperatura de fusão e resfriadas a uma taxa de 24°C/min obteve maiores valores de microdureza. As ligas superaquecidas em maiores temperaturas apresentaram microestruturas mais refinadas com grãos alongados, direções de crescimento desordenadas e espaçamento dendrítico curto, provocando uma transição na microestrutura colunar para equiaxial.

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“…[28][29][30][31][32][33] Those researches mostly focus on the pressurized solidification of nonferrous metals. 34) And it was indicated that the inverse model is accurate for the pressurized solidification of nonferrous metals, [31][32][33][35][36][37][38] such as aluminum alloy. 16,[31][32][33][37][38][39][40][41] However, further verification of inverse model is required to approve its prediction accuracy for steel ingot, because it treats higher pour temperature, larger temperature difference between those of ingot and mould, and faster cooling rate of ingot and so on, comparing with nonferrous metals.…”

Section: Quantitative Correlation Between Interfacial Heat Transfer Cmentioning

confidence: 99%

Quantitative Correlation between Interfacial Heat Transfer Coefficient and Pressure for 19Cr-14Mn-0.9N High Nitrogen Steel Cylindrical Ingot

Zhu

et al. 2020

ISIJ Int.

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Optimization of experimental design for an inverse estimation of the metal-mold heat transfer coefficient in the solidification of Sn–10% Pb

Cited by 12 publications

References 18 publications

Three-Dimensional Modeling of Segregation Behavior during Solidification of a Sn-6 wt.% Pb Alloy

Three-Dimensional Modeling of Segregation Behavior during Solidification of a Sn-6 wt.% Pb Alloy

Influência das variáveis de solidificação na microestrutura e microdureza de ligas Al-Cu utilizando planejamento fatorial complete

Quantitative Correlation between Interfacial Heat Transfer Coefficient and Pressure for 19Cr-14Mn-0.9N High Nitrogen Steel Cylindrical Ingot

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