A parametric multi-scale, multiphysics numerical investigation in a casting process for Al-Si alloy and a macroscopic approach for prediction of ECT and CET events

Satbhai, Ojas; Roy, Subhransu; Ghosh, Sudipto

doi:10.1016/j.applthermaleng.2016.11.003

Cited by 11 publications

(2 citation statements)

References 53 publications

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“…In this process, the Interfacial Heat Transfer Coefficient (IHTC) represents one of the most important thermal coefficients since it predominantly controls the heat transfer of the metallic system, then directly influencing several thermal parameters. These can be explicitly related to the physical [42,43] and mechanical [48,8] metallurgy of the ingot. Although its relevance, this coefficient is of difficult estimation since it is not easy to measure experimentally and comes from a numerical ill-posed problem.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of Metaheuristic Optimization Algorithms in Estimating the Interfacial Heat Transfer Coefficient on Directional Solidification

Stieven,

Oliveira,

Lins

2020

Preprint

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In this paper is proposed an evaluation of ten metaheuristic optimization algorithms applied on the inverse optimization of the Interfacial Heat Transfer Coefficient (IHTC) coupled on the solidification phenomenon. It was considered an upward directional solidification system for Al-7wt.% Si alloy and, for IHTC model, a exponential time function. All thermophysical properties of the alloy were considered constant. Scheil Rule was used as segregation model ahead phase-transformation interface. Optimization results from Markov Chain Monte Carlo method (MCMC) were considered as reference. Based on average, quantiles 95% and 5%, kurtosis, average iterations and absolute errors of the metaheuristic methods, in relation to MCMC results, the Flower Pollination Algorithm (FPA) and Moth-Flame Optimization (MFO) presented the most appropriate results, outperforming the other methods in this particular phenomenon, based on these metrics. The regions with the most probable values for parameters in IHTC time function were also determined.

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Section: Introductionmentioning

confidence: 99%

Performance Analysis of Metaheuristic Optimization Algorithms in Estimating the Interfacial Heat Transfer Coefficient on Directional Solidification

Stieven,

Oliveira,

Lins

2020

Preprint

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“…In particular, the competitive growth of equiaxed and columnar dendritic grains determine the microstructure of alloys. Over the past few decades, many computer models and methods have been developed to study theoretically and experimentally the grain growth in alloy solidification, such as the volume-averaged, front tracking, cellular automata (CA), and phase field models [1][2][3][4][5]. Among them, due to the advantages of clearly describing the physical phenomena and high computational efficiency of solidification transition, the CA model has been widely used and developed for prediction of grain growth in additive manufacturing [6,7], welding [8,9], and casting [10,11].…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Three-Dimensional Mesoscopic Grain Evolution: Model Development, Validation, and Application to Nickel-Based Superalloys

Guo¹,

Zhou²,

Yin³

et al. 2019

Metals

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The mesoscopic grain model is a multiscale model which takes into account both the dendrite growth mechanism and the vast numerical computation of the actual castings. Due to the pursuit of efficient computation, the mesoscopic grain calculation accuracy is lower than that of dendrite growth model. Improving the accuracy of mesoscopic grain model is a problem to be solved urgently. In this study, referring to the calculation method of solid fraction in microscopic dendrite growth model, a cellular automata model of 3D mesoscopic grain evolution for solid fraction calculated quantitatively at the scale of cell is developed. The developed model and algorithm validation for grain growth simulation is made by comparing the numerical results with the benchmark experimental data and the analytical predictions. The results show that the 3D grain envelopes simulated by the developed model and algorithm are coincident with the shape predicted by the analytical model to a certain extent. Then, the developed model is applied to the numerical simulation of solidification process of nickel-based superalloys, including equiaxed and columnar dendritic grain growth. Our results show good agreement with the related literature.

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An inverse approach for the interfacial heat transfer parameters in alloys solidification

Oliveira

Stieven

Lins

et al. 2019

Applied Thermal Engineering

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A parametric multi-scale, multiphysics numerical investigation in a casting process for Al-Si alloy and a macroscopic approach for prediction of ECT and CET events

Cited by 11 publications

References 53 publications

Performance Analysis of Metaheuristic Optimization Algorithms in Estimating the Interfacial Heat Transfer Coefficient on Directional Solidification

Performance Analysis of Metaheuristic Optimization Algorithms in Estimating the Interfacial Heat Transfer Coefficient on Directional Solidification

Numerical Simulation of Three-Dimensional Mesoscopic Grain Evolution: Model Development, Validation, and Application to Nickel-Based Superalloys

An inverse approach for the interfacial heat transfer parameters in alloys solidification

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