Simulation of steel microstructure evolution during induction heating

Yang, Bing; Hattiangadi, Ashwin; Li, W.Z.; Zhou, Guifeng; McGreevy, Timothy

doi:10.1016/j.msea.2010.01.038

Cited by 54 publications

(42 citation statements)

References 16 publications

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“…The austenite grain size increases with higher austenitizing temperatures. A larger austenite grain size may increase M s , as reported by Yang et al However, since M s is showing an opposite trend than austenite grain size, this effect is assumed to be negligible within this study.…”

Section: Discussionmentioning

confidence: 52%

Effect of Initial Microstructure, Heating Rate, and Austenitizing Temperature on the Subsequent Formation of Martensite and Its Microstructural Features in a QT Steel

Eggbauer

Lukas

Prevedel

et al. 2018

steel research int.

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Goal of this work is to study the effect of initial microstructure and different fast austenitization treatments with high heating rates and short dwell times on the transformation behavior of austenite to martensite and the resulting microstructural martensite features. A deeper understanding is gained regarding influences of the time temperature program during austenitization on strain within the martensite. Therefore, specimens with two microstructures, a ferritic/pearlitic and a soft annealed state, are heat treated with heating rates of 1–100 K s–1 to different austenitization temperatures and held for 3 s. Distinct differences in initial microstructures is their cementite size and morphology. For the investigations of the martensitic transformation, its microstructure and its distortions dilatometry experiments are conducted and Electron Back Scattered Diffraction (EBSD) is used. The investigations show that strain and inhomogeneities within the austenite are passed to the martensitic microstructure and lead to higher distortions within the ferritic martensite crystals. Strain within the martensitic microstructure decreases with increasing austenitization temperature and decreasing heating rates. Especially, the carbon content in solution, which is increasing with increasing austenitizing temperature and smaller initial cementite size, is influencing martensitic features, such as martensite start temperature and block sizes.

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Section: Discussionmentioning

confidence: 52%

Effect of Initial Microstructure, Heating Rate, and Austenitizing Temperature on the Subsequent Formation of Martensite and Its Microstructural Features in a QT Steel

Eggbauer

Lukas

Prevedel

et al. 2018

steel research int.

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show abstract

“…The calculated austenitization kinetics at different heating rates agrees well with the experiments by adopting the suitable parameters. This model was also used to predict the grain size profiles and composition homogeneity during induced rapid heating process of SAE1045 steel bars [85]. The 3D deterministic CA model for microstructure evolution of annealing cycle in DP steel developed by Bos et al [68] also implemented a description on the austenite formation on the P+ matrix.…”

Section: Austenite Formationmentioning

confidence: 99%

Progress in mesoscopic modeling of microstructure evolution in steels

Xiao

Chen

et al. 2011

Sci. China Technol. Sci.

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The mesoscopic modeling developed rapidly in the past three decades is a promising tool for predicting and understanding the microstructure evolution at grain scale. In this paper, the recent development of mesoscopic modeling and its application to microstructure evolution in steels is reviewed. Firstly, some representative computational models are briefly introduced, e.g., the phase field model, the cellular automaton model and the Monte Carlo model. Then, the emphasis is put on the application of mesoscopic modeling of the complex features of microstructure evolution, including solidification, solid-state phase transformation, recrystallization and grain growth. Finally, some issues in the present mesoscopic modeling and its perspective are discussed. microstructure evolution, steel, phase field, cellular automaton, Monte Carlo Citation:Xiao N M, Chen Y, Li D Z, et al. Progress in mesoscopic modeling of microstructure evolution in steels.

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“…Using such an approach, each material grain can be modelled as cells with rules that characterize their state. This approach has been used for modelling the grain structure resulting from other processes, such as laser additive manufacturing [8] and induction hardening [9] but never before for an abrasive process such as grind-hardening.…”

Section: Introductionmentioning

confidence: 99%

A hybrid cellular automata-finite element model for the simulation of the grind-hardening process

Salonitis

2017

Int J Adv Manuf Technol

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Grind-hardening process is a hybrid process for the simultaneous finishing and heattreatment of the workpiece material. Several studies have been presented for the simulation of the process, using either analytical or finite element based models. In the present paper, the cellular automata method is used for simulating the metallurgical changes in the workpiece material. The method is coupled with a finite elements model for the macromodelling of the process, allowing the prediction of the microstructure of the material as a function of the macro-process parameters.

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Simulation of steel microstructure evolution during induction heating

Cited by 54 publications

References 16 publications

Effect of Initial Microstructure, Heating Rate, and Austenitizing Temperature on the Subsequent Formation of Martensite and Its Microstructural Features in a QT Steel

Effect of Initial Microstructure, Heating Rate, and Austenitizing Temperature on the Subsequent Formation of Martensite and Its Microstructural Features in a QT Steel

Progress in mesoscopic modeling of microstructure evolution in steels

A hybrid cellular automata-finite element model for the simulation of the grind-hardening process

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