Comparison of Numerical Simulation and Experiment for the Microstructure Development of a Cold-Rolled Multiphase Steel during Annealing

Kwiaton, Norbert; Kuziak, R.; Pietrzyk, M.

doi:10.4028/www.scientific.net/msf.854.167

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…Typical continuous annealing thermal cycles to obtain DP (dual phase) or CP (complex phase) microstructures are discussed in Ref 25,26. Schematic illustration of the thermal cycle for intercritical annealing and for full austenitization annealing is shown in Fig.…”

Section: Intercritical Continuous Annealingmentioning

confidence: 99%

Problem of Identification of Phase Transformation Models Used in Simulations of Steels Processing

Rauch

Bachniak

Kuziak

et al. 2018

J. of Materi Eng and Perform

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Accuracy of phase transformation models depends on the correctness of coefficients evaluation, adequate to the investigated material. Dilatometric tests combined with the inverse analysis are used to perform identification. Since the problem is nonlinear, analytical approach is not possible and the inverse solution is transferred into the optimization task. It leads to difficulties typical for optimization of multivariable function such as local minima and lack of proof of the uniqueness. The problem of the effectiveness and uniqueness of the inverse algorithms used for identification of phase transformation models for steels was investigated for two models. The first was a modified JMAK (Johnson-Mehl-Avrami-Kolmogorov) equation. The second was an upgrade of the Leblond equation, in which second-order derivative of the volume fraction with respect to time was introduced. In classical identification, the result for one transformation depends on the coefficients for the remaining transformations and optimization has to be performed several times until the compatibility between transformations is reached. To avoid encountered problems, complex optimization simultaneously for all coefficients in the models was performed. This approach was based on nature-inspired optimization techniques. Models with identified coefficients for various steels were validated in simulations of industrial processes of laminar cooling and continuous annealing of strips.

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Section: Intercritical Continuous Annealingmentioning

confidence: 99%

Problem of Identification of Phase Transformation Models Used in Simulations of Steels Processing

Rauch

Bachniak

Kuziak

et al. 2018

J. of Materi Eng and Perform

Self Cite

View full text Add to dashboard Cite

show abstract

Experimental and Numerical Simulations of Phase Transformations Occurring During Continuous Annealing of DP Steel Strips

Wrożyna

Pernach

Kuziak

et al. 2016

J. of Materi Eng and Perform

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Due to their exceptional strength properties combined with good workability the Advanced High-Strength Steels (AHSS) are commonly used in automotive industry. Manufacturing of these steels is a complex process which requires precise control of technological parameters during thermo-mechanical treatment. Design of these processes can be significantly improved by the numerical models of phase transformations. Evaluation of predictive capabilities of models, as far as their applicability in simulation of thermal cycles thermal cycles for AHSS is considered, was the objective of the paper. Two models were considered. The former was upgrade of the JMAK equation while the latter was an upgrade of the Leblond model. The models can be applied to any AHSS though the examples quoted in the paper refer to the Dual Phase (DP) steel. Three series of experimental simulations were performed. The first included various thermal cycles going beyond limitations of the continuous annealing lines. The objective was to validate models behavior in more complex cooling conditions. The second set of tests included experimental simulations of the thermal cycle characteristic for the continuous annealing lines. Capability of the models to describe properly phase transformations in this process was evaluated. The third set included data from the industrial continuous annealing line. Validation and verification of models confirmed their good predictive capabilities. Since it does not require application of the additivity rule, the upgrade of the Leblond model was selected as the better one for simulation of industrial processes in AHSS production.

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Comparison of Numerical Simulation and Experiment for the Microstructure Development of a Cold-Rolled Multiphase Steel during Annealing

Cited by 2 publications

References 3 publications

Problem of Identification of Phase Transformation Models Used in Simulations of Steels Processing

Problem of Identification of Phase Transformation Models Used in Simulations of Steels Processing

Experimental and Numerical Simulations of Phase Transformations Occurring During Continuous Annealing of DP Steel Strips

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