Multiscale modelling of microstructure evolution during laminar cooling of hot rolled DP steels

Pietrzyk, M.; Madej, Łukasz; Rauch, Ł.; Gołąb, Rafał

doi:10.1016/s1644-9665(12)60031-4

Cited by 24 publications

(11 citation statements)

References 5 publications

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“…These internal variables are then used in the transition rules to replicate mechanisms of phase transformation. Similar solutions with different level of complexity are also available in the literature [8,9].…”

Section: Description Of Austenite-ferrite Transformation Modelmentioning

confidence: 99%

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Sensivity Analysis of the Cellular Automata Model for Austenite-Ferrite Phase Transformation in Steels

Gołąb¹,

Bachniak²,

Bzowski³

et al. 2013

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The main goal of the present research is to realize a sensitivity analysis of the developed complex micro scale austenite (γ) to ferrite (α) phase transformation model. The proposed solution is implemented in the developed Cellular Automata Framework that facilitates implementation of various microstructure evolution models. Investigated model predicts phase transformation progress starting from the fully austenitic or two-phase regions. Theoretical background of the implemented austenite-ferrite phase transformation model is presented in the paper. The defined transition rules for initiation and subsequent growth as well as internal variables for each particular CA cell are also discussed. Examples of results obtained from the developed model, as well as model capabilities are shown. Finally sensitivity analysis using Morris OAT Design is also presented and discussed.

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Section: Description Of Austenite-ferrite Transformation Modelmentioning

confidence: 99%

“…Otherwise the cell remains in the austenite state see Equation (9). If the CA cell change state from austenite to austenite-ferrite state every von Neuman neighboring cells change state to temp state according to (10).…”

Section: Description Of Austenite-ferrite Transformation Modelmentioning

confidence: 99%

Sensivity Analysis of the Cellular Automata Model for Austenite-Ferrite Phase Transformation in Steels

Gołąb¹,

Bachniak²,

Bzowski³

et al. 2013

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show abstract

“…[13] However, even for the small size of CA spaces, this approach requires long computing times. The possibility of simplification of the multiscale model is discussed below.…”

Section: Simplified Multiscale Modelmentioning

confidence: 99%

From High Accuracy to High Efficiency in Simulations of Processing of Dual-Phase Steels

Rauch

Kuziak

Pietrzyk

2013

Metall Mater Trans B

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Searching for a compromise between computing costs and predictive capabilities of metal processing models is the objective of this work. The justification of using multiscale and simplified models in simulations of manufacturing of DP steel products is discussed. Multiscale techniques are described and their applications to modeling annealing and stamping are shown. This approach is costly and should be used in specific applications only. Models based on the JMAK equation are an alternative. Physical simulations of the continuous annealing were conducted for validation of the models. An analysis of the computing time and predictive capabilities of the models allowed to conclude that the modified JMAK equation gives good results as far as prediction of volume fractions after annealing is needed. Contrary, a multiscale model is needed to analyze the distributions of strains in the ferritic-martensitic microstructure. The idea of simplification of multiscale models is presented, as well.

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“…are still challenging for manufacturers. 1 In advanced technologies, all consecutive steps of the manufacturing process are tightly connected, and an efficient way of achieving requested properties must consider all mutual dependencies. Complex processes cannot be developed without extensive use of numerical modeling.…”

Section: Introductionmentioning

confidence: 99%

Development of Semantic Description for Multiscale Models of Thermo-Mechanical Treatment of Metal Alloys

Macioł

Regulski

2016

JOM

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We present a process of semantic meta-model development for data management in an adaptable multiscale modeling framework. The main problems in ontology design are discussed, and a solution achieved as a result of the research is presented. The main concepts concerning the application and data management background for multiscale modeling were derived from the AM3 approach-object-oriented Agile multiscale modeling methodology. The ontological description of multiscale models enables validation of semantic correctness of data interchange between submodels. We also present a possibility of using the ontological model as a supervisor in conjunction with a multiscale model controller and a knowledge base system. Multiscale modeling formal ontology (MMFO), designed for describing multiscale models' data and structures, is presented. A need for applying meta-ontology in the MMFO development process is discussed. Examples of MMFO application in describing thermo-mechanical treatment of metal alloys are discussed. Present and future applications of MMFO are described.

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Multiscale modelling of microstructure evolution during laminar cooling of hot rolled DP steels

Cited by 24 publications

References 5 publications

Sensivity Analysis of the Cellular Automata Model for Austenite-Ferrite Phase Transformation in Steels

Sensivity Analysis of the Cellular Automata Model for Austenite-Ferrite Phase Transformation in Steels

From High Accuracy to High Efficiency in Simulations of Processing of Dual-Phase Steels

Development of Semantic Description for Multiscale Models of Thermo-Mechanical Treatment of Metal Alloys

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